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438 results on '"MOSSA A"'

1. Effects of laser interstitial thermal therapy for mesial temporal lobe epilepsy on the structural connectome and its relationship to seizure freedom

Author

Ai Phuong S Tong, Shahin Hakimian, John W. Miller, Andrew L. Ko, Kurt E. Weaver, Jeffrey G. Ojemann, and Mahmud Mossa-Basha

Subjects
Freedom, medicine.medical_specialty, medicine.medical_treatment, Hippocampus, Laser Interstitial Thermal Therapy, Seizures, Connectome, Humans, Medicine, Retrospective Studies, business.industry, Lasers, Amygdalohippocampectomy, Ablation, Entorhinal cortex, Magnetic Resonance Imaging, Diffusion Tensor Imaging, Treatment Outcome, Epilepsy, Temporal Lobe, Neurology, Laser Therapy, Neurology (clinical), Radiology, business, Insula, Diffusion MRI
Abstract

Objective Laser interstitial thermal therapy (LITT) is a minimally invasive surgery for mesial temporal lobe epilepsy (mTLE), but the effects of individual patient anatomy and location of ablation volumes affect seizure outcomes. The purpose of this study is to see if features of individual patient structural connectomes predict surgical outcomes after LITT for mTLE. Methods This is a retrospective analysis of seizure outcomes of LITT for mTLE in 24 patients. We use preoperative diffusion tensor imaging (DTI) to simulate changes in structural connectivity after laser ablation. A two-step machine-learning algorithm is applied to predict seizure outcomes from the change in connectomic features after surgery. Results Although node-based network features such as clustering coefficient and betweenness centrality have some predictive value, changes in connection strength between mesial temporal regions predict seizure outcomes significantly better. Changes in connection strength between the entorhinal cortex (EC), and the insula, hippocampus, and amygdala, as well as between the temporal pole and hippocampus, predict Engel Class I outcomes with an accuracy of 88%. Analysis of the ablation location, as well as simulated, alternative ablations, reveals that a more medial, anterior, and inferior ablation volume is associated with a greater effect on these connections, and potentially on seizure outcomes. Significance Our results indicate (1) that seizure outcomes can be retrospectively predicted with excellent accuracy using changes in structural connectivity, and (2) that favorable connectomic changes are associated with an ablation volume involving relatively mesial, anterior, and inferior locations. These results may provide a framework whereby individual pre-operative structural connectomes can be used to optimize ablation volumes and improve outcomes in LITT for mTLE.

Published
2021

2. Is a Close Follow-Up Computed Tomography Necessary for Acute Falcine and Tentorial Subdural Hematoma?

Author

Wendy A. Cohen, Nathan M. Cross, Mahmud Mossa-Basha, William T.C. Yuh, Robert P. DeConde, Monique A. Mogensen, and Murat Alp Oztek

Subjects
medicine.medical_specialty, medicine.diagnostic_test, business.industry, Computed tomography, medicine.disease, Hematoma, Subdural, Hematoma, medicine, Humans, Radiology, Nuclear Medicine and imaging, Dura Mater, Radiology, Tomography, X-Ray Computed, business, Retrospective Studies
Abstract

This study aimed to assess the changes and values on follow-up computed tomography (F/U-CT) for isolated falcine (F-SDH) and tentorial (T-SDH) subdural hematomas (SDHs).Fifty-four cases of isolated F-SDH and/or T-SDH were retrospectively reviewed. Subdural hematoma morphology, mass effect on the adjacent parenchyma, and interval change at F/U-CT were evaluated. Subdural hematoma size was measured parallel and perpendicular to the falx/tentorium (long or short axis, respectively).Short-axis increase on F/U-CT was seen only in 5 F-SDHs (16%) and 7 T-SDHs (19%), with a maximum of a 2-mm increase. Long-axis growth was more prominent and frequent, seen in 18 F-SDH patients (56.2%) and 19 T-SDH patients (51.4%), with maximum change of up to 43 mm. Falcine SDH and T-SDH were ipsilateral and contiguous in 77.8% of patients. Minimal mass effect was seen in 13 patients (24.1%), which was resolved or stable on F/U-CT. Anticoagulation did not affect SDH size. No patients required neurosurgery or died.Based on our limited data, the current standard of F/U-CT may be unnecessary in patients with isolated F-SDH and/or T-SDH, which expand minimally along the short axis without a significant mass effect. Characteristic anatomic structure of the tentorium and falx, and their connectivity may direct SDH expansion and limit mass effect as well as injury to the adjacent parenchyma.

Published
2021

3. Evaluation of Oxidative Stress as a Contributor of Anesthetic Agents' Effects on Embryo Quality and ICSI Outcome in Iraqi Patients

Author

Athraa Abd Alhussain, Raad Reshan, and Hayder Mossa

Subjects
business.industry, Anesthesia, Anesthetic, Medicine, business, medicine.disease_cause, Outcome (game theory), Embryo quality, Oxidative stress, medicine.drug
Abstract

Infertility is described as a couple's failure to conceive for at least a year, using unprotected sex. Even though all anesthetic chemicals have been revealed in the follicular fluids, general anesthesia is still used in many IVF centers for patients who want to get pregnant. This study included 60 infertile women randomly divided into two groups under general anesthesia. 30 patients were given a Ketamine dose of 0.5 mg/Kg and the other 30 patients were received Remifentanil dose of 0.5 µg/Kg for induction of anesthesia. We collected serum for Reactive Oxygen Species (ROS) levels assessment for all patients before and after starting general anesthesia. Routine ICSI procedures was performed on all participants, including clinical evaluation (history, examination, and investigation), controlled ovarian and ovulation stimulation, oocyte retrieval under general anesthesia, follicular fluid collection for postoperative anesthesia medication concentration (Remifentanil and Ketamine), oocyte stripping, oocyte maturity assessment, intra-oocyte sperm injection into mature cells (MII), fertilization and division evaluation and embryo categorization, embryo selection and transfer, luteal phase support, and beta-hCG determination. ROS concentrations were compared between the Remifentanil and Ketamine groups. There was no significant difference in embryo features between Remifentanil and Ketamine, indicating that neither one is superior to the other in this regard. When Remifentanil or Ketamine was taken, there was no significant difference in ROS levels in serum or follicular fluid.

Published
2021

4. Vessel Wall MR Imaging in the Pediatric Head and Neck

Author

Mahmud Mossa-Basha, Lei Wu, and Chengcheng Zhu

Subjects
medicine.medical_specialty, Vascular disease, business.industry, medicine.medical_treatment, medicine, Radiology, Nuclear Medicine and imaging, Radiology, Traction (orthopedics), Head and neck, medicine.disease, business, Vasculitis, Mr imaging
Abstract

Vessel wall MR imaging (VWI) is a technique that progressively has gained traction in clinical diagnostic applications for evaluation of intracranial and extracranial vasculopathies, with increasing use in pediatric populations. The technique has shown promise in detection, differentiation, and characterization of both inflammatory and noninflammatory vasculopathies. In this article, optimal techniques for intracranial and extracranial VWI as well as applications and value for pediatric vascular disease evaluation are discussed.

Published
2021

5. Tips and tricks for the diagnosis and management of biliary stenosis-state of the art review

Author

Andrea Anderloni, Alessandro Repici, Michelangela Mossa, Omero Alessandro Paoluzi, Renato Argirò, Giovanni Monteleone, Giovanna Del Vecchio Blanco, and Edoardo Troncone

Subjects
Endoscopic ultrasound, Endoscopic ultrasound-guided fine needle aspiration, medicine.medical_specialty, Magnetic resonance cholangiopancreatography, Endoscopic retrograde cholangiopancreatography, Percutaneous, medicine.diagnostic_test, business.industry, medicine.medical_treatment, Stent, Minireviews, Malignancy, medicine.disease, Settore MED/12, Stenosis, medicine, Cholangioscopy, Radiology, Differential diagnosis, Metal stent, business, Biliary stenosis, Biliary stenosis treatment
Abstract

Biliary stenosis may represent a diagnostic and therapeutic challenge resulting in a delay in diagnosis and initiation of therapy due to the frequent difficulty in distinguishing a benign from a malignant stricture. In such cases, the diagnostic flowchart includes the sequential execution of imaging techniques, such as magnetic resonance, magnetic resonance cholangiopancreatography, and endoscopic ultrasound, while endoscopic retrograde cholangiopancreatography is performed to collect tissue for histopathological/cytological diagnosis or to treat the stenosis by insertion of stent. The execution of percutaneous transhepatic drainage with subsequent biopsy has been shown to increase the possibility of tissue diagnosis after failure of the above techniques. Although the diagnostic yield of histopathology and imaging has increased with improvements in endoscopic ultrasound and peroral cholangioscopy, differential diagnosis between malignant and benign stenosis may not be easy in some patients, and strictures are classified as indeterminate. In these cases, a multidisciplinary workup including biochemical marker assays and advanced technologies available may speed up a diagnosis of malignancy or avoid unnecessary surgery in the event of a benign stricture. Here, we review recent advancements in the diagnosis and management of biliary strictures and describe tips and tricks to increase diagnostic yields in clinical routine.

Published
2021

6. Assessment of post abortion woman lifestyle

Author

Amaal Ramadan, Kamelia Abo Shabana, and Sahar Mossa

Subjects
Pregnancy, medicine.medical_specialty, Arabic, business.industry, Negative attitude, Abortion, medicine.disease, language.human_language, Family medicine, medicine, language, Post abortion, Descriptive research, Family history, business, reproductive and urinary physiology, Lifestyle behavior
Abstract

Background: The present study was a descriptive study that aimed to assess of post abortion woman lifestyle. A Qausi-expermental sample that consisted of 116 post aborted women, the study was conducted at post natal room in AIN Shams University, maternity hospital. Data were collected using Arabic structured interviewing questionnaire sheet includes characteristics of the studied women; women knowledge regards abortion and management, lifestyle assessment tool. The results of this study revealed that more than half of women don’t have knowledge regards abortion and its management, more over there was more than half of women had unhealthy lifestyle during pregnancy. It was concluded that the majority of the studied women had negative attitude toward the lifestyle meanwhile, there were many factors as age, work, family history, no. of abortion, unhealthy lifestyle behavior that effect on post aborted woman. It was recommended that providing further session, brochures, to increase women knowledge and awareness about effect of unhealthy lifestyle.

Published
2021

7. Effect of Guideline on Improving Nurses' Practices for Patients with Early Postpartum Haemorrhage

Author

Sahar Mossa Soliman, Kamilia Abou Shabana, Amal Talaat El sharkawy, and Amal Mahmoud Dawood

Subjects
medicine.medical_specialty, Interview, business.industry, Sample (statistics), Guideline, Early Postpartum Hemorrhage, Checklist, Nursing standard, Family medicine, medicine, book.journal, Observational study, business, book, Early postpartum
Abstract

Background: postpartum hemorrhage (PPH) is still one of the main causes responsible for maternal morbidity and mortality. Aim of the study: To investigate the effect of guideline on improving nurses' practices for patients with early postpartum hemorrhage. Setting: At obstetric departments in Damanhur teaching hospital at Beheira Governorate. Study Design: A Quasi- experimental (an interventional pre and posttest study). Subject type: purposive sample. Subject size: All nurses (44nurses) who were working at obstetric departments and accepted to participate in study, at previously mentioned study setting. Four nurses were excluded from the total sample due to their participation in the pilot study. Tools: Three tools 1) a structured interviewing questionnaire. 2) An observational checklist. And 3) Nurses' satisfaction tool. Results: The result of the present study findings was highly significant improvement in total knowledge and total practical skills among the studied sample pre intervention compared to immediate and eight weeks post intervention. P= < 0.01. Additionally, about more than three quarter among studied sample satisfied with the advanced knowledge included in guideline. Conclusion: the present study findings concluded that a significant improvement among studied sample' knowledge and practices post intervention. Recommendations: Nursing standards, protocols and guideline must be designed to enhance nurses' knowledge, practices and satisfaction

Published
2021

8. A novel fault tolerant control approach based on backstepping controller for a five phase induction motor drive: Experimental investigation

Author

Hamdi Echeikh and Mahmoud A. Mossa

Subjects
0209 industrial biotechnology, Computer science, Stator, business.industry, Applied Mathematics, 020208 electrical & electronic engineering, Automotive industry, Fault tolerance, 02 engineering and technology, Change control board, Computer Science Applications, law.invention, 020901 industrial engineering & automation, Reliability (semiconductor), Control and Systems Engineering, Control theory, law, Backstepping, 0202 electrical engineering, electronic engineering, information engineering, Torque, Electrical and Electronic Engineering, business, Instrumentation
Abstract

The five phase induction motor (FPIM) is a very suitable choice for different industrial applications which require high reliability. This is due to the ability of the motor to keep operating even with open stator phases. However, to ensure the right operation and for achieving the desired dynamic performance in terms of reduced torque fluctuations, a fault tolerant control (FTC) methodology must be applied. Because of this, the paper introduces a novel FTC approach for the FPIM drive based on a backstepping controller. The derivation and explanation of the proposed technique are presented and analyzed in a systematic manner. The validation of the proposed FTC strategy has been carried out experimentally using a dSPACE 1104 control board. The test results approve the validity of the designed controller in achieving the control targets which ensures the highest system reliability of the drive that is mostly required in different automotive and industrial applications.

Published
2021

9. Agreement between the newly developed OCT glaucoma staging system and the standardized visual field glaucoma staging system 2

Author

Khulood Muhammad Sayed, Heba Khallaf, and Elshimaa A Mateen Mossa

Subjects
genetic structures, medicine.diagnostic_test, Open angle glaucoma, business.industry, Glaucoma, General Medicine, medicine.disease, eye diseases, Visual field, 03 medical and health sciences, Ophthalmology, 0302 clinical medicine, Optical coherence tomography, 030221 ophthalmology & optometry, medicine, Optometry, sense organs, business, Staging system, 030217 neurology & neurosurgery
Abstract

Purpose: The purpose of this research was to assess the agreement between the new optical coherence tomography (OCT) glaucoma staging system (GSS) and the visual field (VF) GSS 2 (GSS2). Methods: This is a cross-sectional study of 161 eyes of 110 patients with controlled primary open-angle glaucoma (POAG). All eyes were subjected to VF examination using standard automated perimetry and Humphrey field analyzer II 750. GSS2 was used for the classification of the VF defects’ severity. OCT of the optic disc and the macular ganglion cell complex (GCC) was performed using RTVue. Patients were classified by OCT GSS into six stages. Results: The study examined 161 eyes of 110 patients with controlled POAG. The staging according to VF GSS2 was as follows: stage 0 (12.42%), border stage (12.42%), stage 1 (13.04%), stage 2 (14.29%), stage 3 (14.28%), stage 4 (14.28%), and stage 5 (19.25%). The staging by OCT GSS was as follows: stage 0 (18.6 %), border stage (17.3%), stage 1 (6.8%), stage 2 (9.31%), stage 3 (6%), stage 4 (11.8%), and stage 5 (30.43%). The sensitivity of the new OCT GSS was different in different stages of glaucoma. In this study, no normal control group was considered; thus, the specificity could not be calculated. There was moderate agreement between the two staging systems. Conclusions: OCT GSS is a reliable and objective method for diagnosing and monitoring glaucoma. Correlations were found between GSS2, inferior and total macular GCC thickness values, and cup-to-disc ratios, so considering these items as additional parameters may make this new classification even more sensitive than VF GSS2.

Published
2021

10. Neural network enhanced 3D turbo spin echo for MR intracranial vessel wall imaging

Author

Chun Yuan, Xihai Zhao, Niranjan Balu, Baocheng Chu, Peter Börnert, Zechen Zhou, Jie Sun, Thomas S. Hatsukami, Mahmud Mossa-Basha, and Shuo Chen

Subjects
Adult, Male, Point spread function, Computer science, Image quality, Biomedical Engineering, Biophysics, Signal-To-Noise Ratio, Convolutional neural network, Article, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Imaging, Three-Dimensional, 0302 clinical medicine, Flip angle, Humans, Radiology, Nuclear Medicine and imaging, Retrospective Studies, Artificial neural network, business.industry, Deep learning, Brain, Relaxation (iterative method), Middle Aged, Fast spin echo, Image Enhancement, Healthy Volunteers, Female, Neural Networks, Computer, Artificial intelligence, business, Magnetic Resonance Angiography, 030217 neurology & neurosurgery, Biomedical engineering
Abstract

Purpose To improve the signal-to-noise ratio (SNR) and image sharpness for whole brain isotropic 0.5 mm three-dimensional (3D) T1 weighted (T1w) turbo spin echo (TSE) intracranial vessel wall imaging (IVWI) at 3 T. Methods The variable flip angle (VFA) method enables useful optimization across scan efficiency, SNR and relaxation induced point spread function (PSF) for TSE imaging. A convolutional neural network (CNN) was developed to retrospectively enhance the acquired TSE image with PSF blurring. The previously developed VFA method to increase SNR at the expense of blur can be combined with the presented PSF correction to yield long echo train length (ETL) scan while the acquired image remains high SNR and sharp. The overall approach can enable an optimized solution for accelerated whole brain high-resolution 3D T1w TSE IVWI. Its performance was evaluated on healthy volunteers and patients. Results The PSF blurred image acquired by a long ETL scan can be enhanced by CNN to restore similar sharpness as a short ETL scan, which outperforms the traditional linear PSF enhancement approach. For accelerated whole brain IVWI on volunteers, the optimized isotropic 0.5 mm 3D T1w TSE sequence with CNN based PSF enhancement provides sufficient flow suppression and improved image quality. Preliminary results on patients further demonstrated its improved delineation for intracranial vessel wall and plaque morphology. Conclusion The CNN enhanced VFA TSE imaging enables an overall image quality improvement for high-resolution 3D T1w IVWI, and may provide a better tradeoff across scan efficiency, SNR and PSF for 3D TSE acquisitions.

Published
2021

11. Clinical features and prognostic factors of intensive and non-intensive 1014 COVID-19 patients: an experience cohort from Alahsa, Saudi Arabia

Author

Salamah A. Alomran, Abdulsatar H. Al Brahim, Dayas K. Philip, Ali A. Rabaan, Ahmed Omar, Hatim S. Ahmed, Awad Al-Omari, Haifa Al-Shammari, Zainab Al Alawi, Hanan Al Shaikh, Abbas Al Mutair, Maher M. Al Mahdi, Mossa Alismail, Alyaa Elhazmi, Nourah Al Dossary, Mahdi Bu Jubarah, Saad Alhumaid, Sarah Y. Alsabati, Khulud Al Salman, Ali M. Al Ghazal, Mohammed Y. Alyousef, Jaffar A. Al-Tawfiq, and Maitham S. Al Athan

Subjects
Comorbidity, Care, 01 natural sciences, Cohort Studies, 0302 clinical medicine, Medicine, 030212 general & internal medicine, Young adult, Child, Aged, 80 and over, Medical record, Mortality rate, General Medicine, Middle Aged, Prognosis, Critical, Intensive Care Units, Treatment Outcome, Characteristics, Child, Preschool, Cohort, Vomiting, medicine.symptom, Cohort study, Adult, medicine.medical_specialty, Adolescent, Saudi Arabia, Admission, Outcomes, Antiviral Agents, 03 medical and health sciences, Young Adult, Clinical, Diabetes mellitus, Internal medicine, Humans, 0101 mathematics, Mortality, Aged, business.industry, SARS-CoV-2, Research, 010102 general mathematics, Infant, Newborn, Infant, COVID-19, medicine.disease, ICU, business, Tomography, X-Ray Computed, Intensive
Abstract

Background COVID-19 is a worldwide pandemic and has placed significant demand for acute and critical care services on hospitals in many countries. Objectives To determine the predictors of severe COVID-19 disease requiring admission to an ICU by comparing patients who were ICU admitted to non-ICU groups. Methods A cohort study was conducted for the laboratory-confirmed COVID-19 patients who were admitted to six Saudi Ministry of Health’s hospitals in Alahsa, between March 1, 2020, and July 30, 2020, by reviewing patient’s medical records retrospectively. Results This cohort included 1014 patients with an overall mean age of 47.2 ± 19.3 years and 582 (57%) were males. A total of 205 (20%) of the hospitalized patients were admitted to the ICU. Hypertension, diabetes and obesity were the most common comorbidities in all study patients (27.2, 19.9, and 9%, respectively). The most prevalent symptoms were cough (47.7%), shortness of breath (35.7%) and fever (34.3%). Compared with non-ICU group, ICU patients had older age (p ≤ 0.0005) and comprised a higher proportion of the current smokers and had higher respiratory rates (p ≤ 0.0005), and more percentage of body temperatures in the range of 37.3–38.0 °C (p ≥ 0.0005); and had more comorbidities including diabetes (p ≤ 0.0005), hypertension (p ≥ 0.0005), obesity (p = 0.048), and sickle cell disease (p = 0.039). There were significant differences between the non-ICU and ICU groups for fever, shortness of breath, cough, fatigue, vomiting, dizziness; elevated white blood cells, neutrophils, alanine aminotransferase and alkaline aminotransferase, lactate dehydrogenase, and ferritin, and decreased hemoglobin; and proportion of abnormal bilateral chest CT images (p p p ≤ 0.0005). Conclusion Identifying key clinical characteristics of COVID-19 that predict ICU admission and high mortality can be useful for frontline healthcare providers in making the right clinical decision under time-sensitive and resource-constricted environment.

Published
2021

12. A Detailed Analysis of Benchmark Datasets for Network Intrusion Detection System

Author

Mossa Ghurab, Ghaleb Gaphari, Faisal Alshami, Reem Alshamy, and Suad Othman

Subjects
Intrusion, Computer science, business.industry, Benchmark (computing), Confidentiality, The Internet, General Medicine, Data mining, Network intrusion detection, business, Flow network, computer.software_genre, computer
Abstract

The enormous increase in the use of the Internet in daily life has provided an opportunity for the intruder attempt to compromise the security principles of availability, confidentiality, and integrity. As a result, organizations are working to increase the level of security by using attack detection techniques such as Network Intrusion Detection System (NIDS), which monitors and analyzes network flow and attacks detection. There are a lot of researches proposed to develop the NIDS and depend on the dataset for the evaluation. Datasets allow evaluating the ability in detecting intrusion behavior. This paper introduces a detailed analysis of benchmark and recent datasets for NIDS. Specifically, we describe eight well-known datasets that include: KDD99, NSL-KDD, KYOTO 2006+, ISCX2012, UNSW-NB 15, CIDDS-001, CICIDS2017, and CSE-CIC-IDS2018. For each dataset, we provide a detailed analysis of its instances, features, classes, and the nature of the features. The main objective of this paper is to offer overviews of the datasets are available for the NIDS and what each dataset is comprised of. Furthermore, some recommendations were made to use network-based datasets.

Published
2021

13. Special Report of the RSNA COVID-19 Task Force: Crisis Leadership of Major Health System Radiology Departments during COVID-19

Author

Mahmud Mossa-Basha, Lluis Donoso-Bach, Christopher G. Filippi, Mitchell D. Schnall, Carolyn C. Meltzer, Laura Oleaga, Bien Soo Tan, and Mary C. Mahoney

Subjects
2019-20 coronavirus outbreak, Coronavirus disease 2019 (COVID-19), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), education, Advisory Committees, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, ComputerApplications_MISCELLANEOUS, Humans, Medicine, Radiology, Nuclear Medicine and imaging, Special Report, Societies, Medical, Original Research, Medical education, Radiology Department, Hospital, ComputingMilieux_THECOMPUTINGPROFESSION, SARS-CoV-2, Task force, business.industry, COVID-19, Crisis leadership, Leadership, 030220 oncology & carcinogenesis, North America, business
Abstract

Severe acute respiratory syndrome coronavirus 2 has spread across the world since December 2019, infecting 100 million and killing millions. The impact on health care institutions during the coronavirus disease 2019 pandemic has been considerable, with exhaustion of institutional and personal protective equipment resources during local outbreaks and crushing financial consequences for many institutions. Establishing adaptive principles of leadership is necessary during crises, fostering quick decision-making and workflow modifications, while a rapid review of data must determine necessary course corrections. This report describes concepts of crisis leadership teams that can help maximize their effectiveness during the current and future pandemics. © RSNA, 2021

Published
2021

15. Impact of COVID-19 on Cardiovascular Testing in the United States Versus the Rest of the World

Author

Hirschfeld, Cole B., Shaw, Leslee J., Williams, Michelle C., Lahey, Ryan, Villines, Todd C., Dorbala, Sharmila, Choi, Andrew D., Shah, Nishant R., Bluemke, David A., Berman, Daniel S., Blankstein, Ron, Ferencik, Maros, Narula, Jagat, Winchester, David, Malkovskiy, Eli, Goebel, Benjamin, Randazzo, Michael J., Lopez-Mattei, Juan, Parwani, Purvi, Vitola, Joao V., Cerci, Rodrigo J., Better, Nathan, Raggi, Paolo, Lu, Bin, Sergienko, Vladimir, Sinitsyn, Valentin, Kudo, Takashi, Nørgaard, Bjarne Linde, Maurovich-Horvat, Pál, Cohen, Yosef A., Pascual, Thomas N. B., Pynda, Yaroslav, Dondi, Maurizio, Paez, Diana, Einstein, Andrew J., Cerci, Rodrigo, Hinterleitner, Gerd, Lu, Yao, Morozova, Olga, Xu, Zhuoran, Cohen, Yosef, Randazzo, Michael, Choi, Andrew, Nasery, Mohammad Nawaz, Goda, Artan, Shirka, Ervina, Benlabgaa, Rabie, Bouyoucef, Salah, Medjahedi, Abdelkader, Nailli, Qais, Agolti, Mariela, Aguero, Roberto Nicolas, Alak, Maria del Carmen, Alberguina, Lucia Graciela, Arroñada, Guillermo, Astesiano, Andrea, Astesiano, Alfredo, Norton, Carolina Bas, Benteo, Pablo, Blanco, Juan, Bonelli, Juan Manuel, Bustos, Jose Javier, Cabrejas, Raul, Cachero, Jorge, Campisi, Roxana, Canderoli, Alejandro, Carames, Silvia, Carrascosa, Patrícia, Castro, Ricardo, Cendoya, Oscar, Cognigni, Luciano Martin, Collaud, Carlos, Cortes, Claudia, Courtis, Javier, Cragnolino, Daniel, Daicz, Mariana, De La Vega, Alejandro, De Maria, Silvia Teresa, Del Riego, Horacio, Dettori, Fernando, Deviggiano, Alejandro, Dragonetti, Laura, Embon, Mario, Enriquez, Ruben Emilio, Ensinas, Jorge, Faccio, Fernando, Facello, Adolfo, Garofalo, Diego, Geronazzo, Ricardo, Gonza, Natalia, Gutierrez, Lucas, Guzzo, Miguel Angel, Hasbani, Victor, Huerin, Melina, Jäger, Victor, Lewkowicz, Julio Manuel, Nieves A López De Munaín, Maria, Lotti, Jose Maria, Marquez, Alejandra, Masoli, Osvaldo, Masoli, Osvaldo Horacio, Mastrovito, Edgardo, Mayoraz, Matias, Melado, Graciela Eva, Mele, Anibal, Merani, Maria Fernanda, Meretta, Alejandro Horacio, Molteni, Susana, Montecinos, Marcos, Noguera, Eduardo, Novoa, Carlos, Sueldo, Claudio Pereyra, Ascani, Sebastian Perez, Pollono, Pablo, Pujol, Maria Paula, Radzinschi, Alejandro, Raimondi, Gustavo, Redruello, Marcela, Rodríguez, Marina, Rodríguez, Matías, Romero, Romina Lorena, Acuña, Arturo Romero, Rovaletti, Federico, San Miguel, Lucas, Solari, Lucrecia, Strada, Bruno, Traverso, Sonia, Traverzo, Sonia Simona, Espeche, Maria del Huerto Velazquez, Weihmuller, Juan Sebastian, Wolcan, Juan, Zeffiro, Susana, Sakanyan, Mari, Beuzeville, Scott, Boktor, Raef, Butler, Patrick, Calcott, Jennifer, Carr, Loretta, Chan, Virgil, Chao, Charles, Chong, Woon, Dobson, Mark, Downie, D'Arne, Dwivedi, Girish, Elison, Barry, Engela, Jean, Francis, Roslyn, Gaikwad, Anand, Basavaraj, Ashok Gangasandra, Goodwin, Bruce, Greenough, Robert, Hamilton-Craig, Christian, Hsieh, Victar, Joshi, Subodh, Lederer, Karin, Lee, Kenneth, Lee, Joseph, Magnussen, John, Mai, Nghi, Mander, Gordon, Murton, Fiona, Nandurkar, Dee, Neill, Johanne, O'Rourke, Edward, O'Sullivan, Patricia, Pandos, George, Pathmaraj, Kunthi, Pitman, Alexander, Poulter, Rohan, Premaratne, Manuja, Prior, David, Ridley, Lloyd, Rutherford, Natalie, Salehi, Hamid, Saunders, Connor, Scarlett, Luke, Seneviratne, Sujith, Shetty, Deepa, Shrestha, Ganesh, Shulman, Jonathan, Solanki, Vijay, Stanton, Tony, Stuart, Murch, Stubbs, Michael, Swainson, Ian, Taubman, Kim, Taylor, Andrew, Thomas, Paul, Unger, Steven, Upton, Anthony, Vamadevan, Shankar, Van Gaal, William, Verjans, Johan, Voutnis, Demetrius, Wayne, Victor, Wilson, Peter, Wong, David, Wong, Kirby, Younger, John, Feuchtner, Gudrun, Mirzaei, Siroos, Weiss, Konrad, Maroz-Vadalazhskaya, Natallia, Gheysens, Olivier, Homans, Filip, Moreno-Reyes, Rodrigo, Pasquet, Agnès, Roelants, Veronique, Van De Heyning, Caroline M., Ríos, Raúl Araujo, Soldat-Stankovic, Valentina, Stankovic, Sinisa, Albernaz Siqueira, Maria Helena, Almeida, Augusto, Alves Togni, Paulo Henrique, Andrade, Jose Henrique, Andrade, Luciana, Anselmi, Carlos, Araújo, Roberta, Azevedo, Guilherme, Bezerra, Sabbrina, Biancardi, Rodrigo, Grossman, Gabriel Blacher, Brandão, Simone, Pianta, Diego Bromfman, Carreira, Lara, Castro, Bruno, Chang, Tien, Cunali, Fernando, Cury, Roberto, Dantas, Roberto, de Amorim Fernandes, Fernando, De Lorenzo, Andrea, De Macedo Filho, Robson, Erthal, Fernanda, Fernandes, Fabio, Fernandes, Juliano, De Souza, Thiago Ferreira, Alves, Wilson Furlan, Ghini, Bruno, Goncalves, Luiz, Gottlieb, Ilan, Hadlich, Marcelo, Kameoka, Vinícius, Lima, Ronaldo, Lima, Adna, Lopes, Rafael Willain, Machado e Silva, Ricardo, Magalhães, Tiago, Silva, Fábio Martins, Mastrocola, Luiz Eduardo, Medeiros, Fábio, Meneghetti, José Claudio, Naue, Vania, Naves, Danilo, Nolasco, Roberto, Nomura, Cesar, Oliveira, Joao Bruno, Paixao, Eduardo, De Carvalho, Filipe Penna, Pinto, Ibraim, Possetti, Priscila, Quinta, Mayra, Nogueira Ramos, Rodrigo Rizzo, Rocha, Ricardo, Rodrigues, Alfredo, Rodrigues, Carlos, Romantini, Leila, Sanches, Adelina, Santana, Sara, Sara da Silva, Leonardo, Schvartzman, Paulo, Matushita, Cristina Sebastião, Senra, Tiago, Shiozaki, Afonso, Menezes de Siqueira, Maria Eduarda, Siqueira, Cristiano, Smanio, Paola, Soares, Carlos Eduardo, Junior, José Soares, Bittencourt, Marcio Sommer, Spiro, Bernardo, Mesquita, Cláudio Tinoco, Torreao, Jorge, Torres, Rafael, Uellendahl, Marly, Monte, Guilherme Urpia, Veríssimo, Otávia, Cabeda, Estevan Vieira, Pedras, Felipe Villela, Waltrick, Roberto, Zapparoli, Marcello, Naseer, Hamid, Garcheva-Tsacheva, Marina, Kostadinova, Irena, Theng, Youdaline, Abikhzer, Gad, Barette, Rene, Chow, Benjamin, Dabreo, Dominique, Friedrich, Matthias, Garg, Ria, Hafez, Mohammed Nassoh, Johnson, Chris, Kiess, Marla, Leipsic, Jonathon, Leung, Eugene, Miller, Robert, Oikonomou, Anastasia, Probst, Stephan, Roifman, Idan, Small, Gary, Tandon, Vikas, Trivedi, Adwait, White, James, Zukotynski, Katherine, Canessa, Jose, Muñoz, Gabriel Castro, Concha, Carmen, Hidalgo, Pablo, Lovera, Cesar, Massardo, Teresa, Vargas, Luis Salazar, Abad, Pedro, Arturo, Harold, Ayala, Sandra, Benitez, Luis, Cadena, Alberto, Caicedo, Carlos, Moncayo, Antonio Calderón, Gomez, Sharon, Gutierrez Villamil, Claudia T., Jaimes, Claudia, Londoño, Juan, Londoño Blair, Juan Luis, Pabon, Luz, Pineda, Mauricio, Rojas, Juan Carlos, Ruiz, Diego, Escobar, Manuel Valencia, Vasquez, Andres, Vergel, Damiana, Zuluaga, Alejandro, Gamboa, Isabel Berrocal, Castro, Gabriel, González, Ulises, Baric, Ana, Batinic, Tonci, Franceschi, Maja, Paar, Maja Hrabak, Jukic, Mladen, Medakovic, Petar, Persic, Viktor, Prpic, Marina, Punda, Ante, Batista, Juan Felipe, Gómez Lauchy, Juan Manuel, Gutierrez, Yamile Marcos, Menéndez, Rayner, Peix, Amalia, Rochela, Luis, Panagidis, Christoforos, Petrou, Ioannis, Engelmann, Vaclav, Kaminek, Milan, Kincl, Vladimír, Lang, Otto, Simanek, Milan, Abdulla, Jawdat, Bøttcher, Morten, Christensen, Mette, Gormsen, Lars Christian, Hasbak, Philip, Hess, Søren, Holdgaard, Paw, Johansen, Allan, Kyhl, Kasper, Norgaard, Bjarne Linde, Øvrehus, Kristian Altern, Rønnow Sand, Niels Peter, Steffensen, Rolf, Thomassen, Anders, Zerahn, Bo, Perez, Alfredo, Escorza Velez, Giovanni Alejandro, Velez, Mayra Sanchez, Abdel Aziz, Islam Shawky, Abougabal, Mahasen, Ahmed, Taghreed, Allam, Adel, Asfour, Ahmed, Hassan, Mona, Hassan, Alia, Ibrahim, Ahmed, Kaffas, Sameh, Kandeel, Ahmed, Ali, Mohamed Mandour, Mansy, Ahmad, Maurice, Hany, Nabil, Sherif, Shaaban, Mahmoud, Flores, Ana Camila, Poksi, Anne, Knuuti, Juhani, Kokkonen, Velipekka, Larikka, Martti, Uusitalo, Valtteri, Bailly, Matthieu, Burg, Samuel, Deux, Jean-François, Habouzit, Vincent, Hyafil, Fabien, Lairez, Olivier, Proffit, Franck, Regaieg, Hamza, Sarda-Mantel, Laure, Tacher, Vania, Schneider, Roman P., Ayetey, Harold, Angelidis, George, Archontaki, Aikaterini, Chatziioannou, Sofia, Datseris, Ioannis, Fragkaki, Christina, Georgoulias, Panagiotis, Koukouraki, Sophia, Koutelou, Maria, Kyrozi, Eleni, Repasos, Evangelos, Stavrou, Petros, Valsamaki, Pipitsa, Gonzalez, Carla, Gutierrez, Goleat, Maldonado, Alejandro, Buga, Klara, Garai, Ildiko, Schmidt, Erzsébet, Szilveszter, Balint, Várady, Edit, Banthia, Nilesh, Bhagat, Jinendra Kumar, Bhargava, Rishi, Bhat, Vivek, Bhatia, Mona, Choudhury, Partha, Chowdekar, Vijay Sai, Irodi, Aparna, Jain, Shashank, Joseph, Elizabeth, Kumar, Sukriti, Girijanandan Mahapatra, Prof Dr, Mitra, Deepanjan, Mittal, Bhagwant Rai, Ozair, Ahmad, Patel, Chetan, Patel, Tapan, Patel, Ravi, Patel, Shivani, Saxena, Sudhir, Sengupta, Shantanu, Singh, Santosh, Singh, Bhanupriya, Sood, Ashwani, Verma, Atul, Affandi, Erwin, Alam Edison, Padma Savenadia, Gunawan, Gani, Hapkido, Habusari, Hidayat, Basuki, Huda, Aulia, Mukti, Anggoro Praja, Prawiro, Djoko, Soeriadi, Erwin Affandi, Syawaluddin, Hilman, Albadr, Amjed, Assadi, Majid, Emami, Farshad, Houshmand, Golnaz, Maleki, Majid, Rostami, Maryam Tajik, Zakavi, Seyed Rasoul, Zaid, Eed Abu, Agranovich, Svetlana, Arnson, Yoav, Bar-Shalom, Rachel, Frenkel, Alex, Knafo, Galit, Lugassi, Rachel, Maor Moalem, Israel Shlomo, Mor, Maya, Muskal, Noam, Ranser, Sara, Shalev, Aryeh, Albano, Domenico, Alongi, Pierpaolo, Arnone, Gaspare, Bagatin, Elisa, Baldari, Sergio, Bauckneht, Matteo, Bertelli, Paolo, Bianco, Francesco, Bonfiglioli, Rachele, Boni, Roberto, Bruno, Andrea, Bruno, Isabella, Busnardo, Elena, Califaretti, Elena, Camoni, Luca, Carnevale, Aldo, Casoni, Roberta, Cavallo, Armando Ugo, Cavenaghi, Giorgio, Chierichetti, Franca, Chiocchi, Marcello, Cittanti, Corrado, Colletta, Mauro, Conti, Umberto, Cossu, Alberto, Cuocolo, Alberto, Cuzzocrea, Marco, De Rimini, Maria Luisa, De Vincentis, Giuseppe, Del Giudice, Eleonora, Del Torto, Alberico, Della Tommasina, Veronica, Durmo, Rexhep, Erba, Paola Anna, Evangelista, Laura, Faletti, Riccardo, Faragasso, Evelina, Farsad, Mohsen, Ferro, Paola, Florimonte, Luigia, Frantellizzi, Viviana, Fringuelli, Fabio Massimo, Gatti, Marco, Gaudiano, Angela, Gimelli, Alessia, Giubbini, Raffaele, Giuffrida, Francesca, Ialuna, Salvatore, Laudicella, Riccardo, Leccisotti, Lucia, Leva, Lucia, Liga, Riccardo, Liguori, Carlo, Longo, Giampiero, Maffione, Margherita, Mancini, Maria Elisabetta, Marcassa, Claudio, Milan, Elisa, Nardi, Barbara, Pacella, Sara, Pepe, Giovanna, Pontone, Gianluca, Pulizzi, Sabina, Quartuccio, Natale, Rampin, Lucia, Ricci, Fabrizio, Rossini, Pierluigi, Rubini, Giuseppe, Russo, Vincenzo, Sacchetti, Gian Mauro, Sambuceti, Gianmario, Scarano, Massimo, Sciagrà, Roberto, Sperandio, Massimiliano, Stefanelli, Antonella, Ventroni, Guido, Zoboli, Stefania, Baugh, Dainia, Chambers, Duane, Madu, Ernest, Nunura, Felix, Asano, Hiroshi, Chimura, Chimura Misato, Fujimoto, Shinichiro, Fujisue, Koichiro, Fukunaga, Tomohisa, Fukushima, Yoshimitsu, Fukuyama, Kae, Hashimoto, Jun, Ichikawa, Yasutaka, Iguchi, Nobuo, Imai, Masamichi, Inaki, Anri, Ishimura, Hayato, Isobe, Satoshi, Kadokami, Toshiaki, Kato, Takao, Kumita, Shinichiro, Maruno, Hirotaka, Mataki, Hiroyuki, Miyagawa, Masao, Morimoto, Ryota, Moroi, Masao, Nagamachi, Shigeki, Nakajima, Kenichi, Nakata, Tomoaki, Nakazato, Ryo, Nanasato, Mamoru, Naya, Masanao, Norikane, Takashi, Ohta, Yasutoshi, Okayama, Satoshi, Okizaki, Atsutaka, Otomi, Yoichi, Otsuka, Hideki, Saito, Masaki, Sakata, Sakata Yasushi, Sarai, Masayoshi, Sato, Daisuke, Shiraishi, Shinya, Suwa, Yoshinobu, Takanami, Kentaro, Takehana, Kazuya, Taki, Junichi, Tamaki, Nagara, Taniguchi, Yasuyo, Teragawa, Hiroki, Tomizawa, Nobuo, Tsujita, Kenichi, Umeji, Kyoko, Wakabayashi, Yasushi, Yamada, Shinichiro, Yamazaki, Shinya, Yoneyama, Tatsuya, Rawashdeh, Mohammad, Batyrkhanov, Daultai, Dautov, Tairkhan, Makhdomi, Khalid, Ombati, Kevin, Alkandari, Faridah, Garashi, Masoud, Coie, Tchoyoson Lim, Rajvong, Sonexay, Kalinin, Artem, Kalnina, Marika, Haidar, Mohamad, Komiagiene, Renata, Kviecinskiene, Giedre, Mataciunas, Mindaugas, Vajauskas, Donatas, Picard, Christian, Karim, Noor Khairiah A., Reichmuth, Luise, Samuel, Anthony, Allarakha, Mohammad Aaftaab, Naojee, Ambedhkar Shantaram, Alexanderson-Rosas, Erick, Barragan, Erika, González-Montecinos, Alejandro Becerril, Cabada, Manuel, Rodriguez, Daniel Calderon, Carvajal-Juarez, Isabel, Cortés, Violeta, Cortés, Filiberto, De La Peña, Erasmo, Gama-Moreno, Manlio, González, Luis, Ramírez, Nelsy Gonzalez, Jiménez-Santos, Moisés, Matos, Luis, Monroy, Edgar, Morelos, Martha, Ornelas, Mario, Ortga Ramirez, Jose Alberto, Preciado-Anaya, Andrés, Preciado-Gutiérrez, Óscar Ulises, Barragan, Adriana Puente, Rosales Uvera, Sandra Graciela, Sandoval, Sigelinda, Tomas, 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Al-Bulushi, Naeema, Jawa, Zabah, Tag, Naima, Afzal, Muhammad Shehzad, Fatima, Shazia, Younis, Muhammad Numair, Riaz, Musab, Saadullah, Mohammad, Herrera, Yariela, Lenturut-Katal, Dora, Vázquez, Manuel Castillo, Ortellado, José, Akhter, Afroza, Cao, Dianbo, Cheung, Stephen, Dai, Xu, Gong, Lianggeng, Han, Dan, Hou, Yang, Li, Caiying, Li, Tao, Li, Dong, Li, Sijin, Liu, Jinkang, Liu, Hui, Ng, Ming Yen, Sun, Kai, Tang, Gongshun, Wang, Jian, Wang, Ximing, Wang, Zhao-Qian, Wang, Yining, Wang, Yifan, Wu, Jiang, Wu, Zhifang, Xia, Liming, Xiao, Jiangxi, Xu, Lei, Yang, Youyou, Yin, Wu, Yu, Jianqun, Yuan, Li, Zhang, Tong, Zhang, Longjiang, Zhang, Yong-Gao, Zhang, Xiaoli, Zhu, Li, Alfaro, Ana, Abrihan, Paz, Barroso, Asela, Cruz, Eric, Gomez, Marie Rhiamar, Magboo, Vincent Peter, Medina, John Michael, Obaldo, Jerry, Pastrana, Davidson, Pawhay, Christian Michael, Quinon, Alvin, Tang, Jeanelle Margareth, Tecson, Bettina, Uson, Kristine Joy, Uy, Mila, Kostkiewicz, Magdalena, Kunikowska, Jolanta, 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Saranovic, Dragana Sobic, Keng, Felix, Jason See, Jia Hao, Sekar, Ramkumar, Yew, Min Sen, Vondrak, Andrej, Bejai, Shereen, Bennie, George, Bester, Ria, Engelbrecht, Gerrit, Evbuomwan, Osayande, Gongxeka, Harlem, Vuuren, Magritha Jv, Kaplan, Mitchell, Khushica, Purbhoo, Lakhi, Hoosen, Louw, Lizette, Malan, Nico, Milos, Katarina, Modiselle, Moshe, More, Stuart, Naidoo, Mathava, Scholtz, Leonie, Vangu, Mboyo, Aguadé-Bruix, Santiago, Blanco, Isabel, Cabrera, Antonio, Camarero, Alicia, Casáns-Tormo, Irene, Cuellar-Calabria, Hug, Flotats, Albert, Fuentes Cañamero, Maria Eugenia, García, María Elia, Jimenez-Heffernan, Amelia, Leta, Rubén, Diaz, Javier Lopez, Lumbreras, Luis, Marquez-Cabeza, Juan Javier, Martin, Francisco, Martinez de Alegria, Anxo, Medina, Francisco, Canal, Maria Pedrera, Peiro, Virginia, Pubul-Nuñez, Virginia, Rayo Madrid, Juan Ignacio, Rey, Cristina Rodríguez, Perez, Ricardo Ruano, Ruiz, Joaquín, Hernández, Gertrudis Sabatel, Sevilla, Ana, Zeidán, Nahla, Nanayakkara, 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Kitt, Jamie, Lee, Ken, Low, Chen, Mak, Sze Mun, Marousa, Ntouskou, Martin, Jon, Mcalindon, Elisa, Menezes, Leon, Morgan-Hughes, Gareth, Moss, Alastair, Murray, Anthony, Nicol, Edward, Patel, Dilip, Peebles, Charles, Pugliese, Francesca, Luis Rodrigues, Jonathan Carl, Rofe, Christopher, Sabharwal, Nikant, Schofield, Rebecca, Semple, Thomas, Sharma, Naveen, Strouhal, Peter, Subedi, Deepak, Topping, William, Tweed, Katharine, Weir-Mccall, Jonathan, Abbara, Suhny, Abbasi, Taimur, Abbott, Brian, Abohashem, Shady, Abramson, Sandra, Al-Abboud, Tarek, Al-Mallah, Mouaz, Almousalli, Omar, Ananthasubramaniam, Karthikeyan, Kumar, Mohan Ashok, Askew, Jeffrey, Attanasio, Lea, Balmer-Swain, Mallory, Bayer, Richard R., Bernheim, Adam, Bhatti, Sabha, Bieging, Erik, Bloom, Stephen, Blue, Sean, Bluemke, David, Borges, Andressa, Branch, Kelley, Bravo, Paco, Brothers, Jessica, Budoff, Matthew, Bullock-Palmer, Renée, Burandt, Angela, Burke, Floyd W., Bush, Kelvin, Candela, Candace, Capasso, Elizabeth, 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George Kinzfogl, Kircher, Jacqueline, Kirkbride, Rachael, Kontos, Michael, Kottam, Anupama, Krepp, Joseph, Layer, Jay, Lee, Steven H., Leppo, Jeffrey, Lesser, John, Leung, Steve, Lewin, Howard, Litmanovich, Diana, Liu, Yiyan, Magurany, Kathleen, Markowitz, Jeremy, Marn, Amanda, Matis, Stephen E., Mckenna, Michael, Mcrae, Tony, Mendoza, Fernando, Merhige, Michael, Min, David, Moffitt, Chanan, Moncher, Karen, Moore, Warren, Morayati, Shamil, Morris, Michael, Mossa-Basha, Mahmud, Mrsic, Zorana, Murthy, Venkatesh, Nagpal, Prashant, Napier, Kyle, Nelson, Katarina, Nijjar, Prabhjot, Osman, Medhat, Passen, Edward, Patel, Amit, Patil, Pravin, Paul, Ryan, Phillips, Lawrence, Polsani, Venkateshwar, Poludasu, Rajaram, Pomerantz, Brian, Porter, Thomas, Prentice, Ryan, Pursnani, Amit, Rabbat, Mark, Ramamurti, Suresh, Rich, Florence, Luna, Hiram Rivera, Robinson, Austin, Robles, Kim, Rodríguez, Cesar, Rorie, Mark, Rumberger, John, Russell, Raymond, Sabra, Philip, Sadler, Diego, Schemmer, Mary, Schoepf, U. 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Jorge, Faccio, Fernando, Facello, Adolfo, Garofalo, Diego, Geronazzo, Ricardo, Gonza, Natalia, Gutierrez, Luca, Guzzo, Miguel Angel, Hasbani, Victor, Huerin, Melina, Jäger, Victor, Lewkowicz, Julio Manuel, Nieves A López De Munaín, Maria, Lotti, Jose Maria, Marquez, Alejandra, Masoli, Osvaldo, Masoli, Osvaldo Horacio, Mastrovito, Edgardo, Mayoraz, Matia, Melado, Graciela Eva, Mele, Anibal, Merani, Maria Fernanda, Meretta, Alejandro Horacio, Molteni, Susana, Montecinos, Marco, Noguera, Eduardo, Novoa, Carlo, Sueldo, Claudio Pereyra, Ascani, Sebastian Perez, Pollono, Pablo, Pujol, Maria Paula, Radzinschi, Alejandro, Raimondi, Gustavo, Redruello, Marcela, Rodríguez, Marina, Rodríguez, Matía, Romero, Romina Lorena, Acuña, Arturo Romero, Rovaletti, Federico, San Miguel, Luca, Solari, Lucrecia, Strada, Bruno, Traverso, Sonia, Traverzo, Sonia Simona, Espeche, Maria del Huerto Velazquez, Weihmuller, Juan Sebastian, Wolcan, Juan, Zeffiro, Susana, Sakanyan, Mari, Beuzeville, Scott, Boktor, Raef, Butler, Patrick, Calcott, Jennifer, Carr, Loretta, Chan, Virgil, Chao, Charle, Chong, Woon, Dobson, Mark, Downie, D'Arne, Dwivedi, Girish, Elison, Barry, Engela, Jean, Francis, Roslyn, Gaikwad, Anand, Basavaraj, Ashok Gangasandra, Goodwin, Bruce, Greenough, Robert, Hamilton-Craig, Christian, Hsieh, Victar, Joshi, Subodh, Lederer, Karin, Lee, Kenneth, Lee, Joseph, Magnussen, John, Mai, Nghi, Mander, Gordon, Murton, Fiona, Nandurkar, Dee, Neill, Johanne, O'Rourke, Edward, O'Sullivan, Patricia, Pandos, George, Pathmaraj, Kunthi, Pitman, Alexander, Poulter, Rohan, Premaratne, Manuja, Prior, David, Ridley, Lloyd, Rutherford, Natalie, Salehi, Hamid, Saunders, Connor, Scarlett, Luke, Seneviratne, Sujith, Shetty, Deepa, Shrestha, Ganesh, Shulman, Jonathan, Solanki, Vijay, Stanton, Tony, Stuart, Murch, Stubbs, Michael, Swainson, Ian, Taubman, Kim, Taylor, Andrew, Thomas, Paul, Unger, Steven, Upton, Anthony, Vamadevan, Shankar, Van Gaal, William, Verjans, Johan, Voutnis, Demetriu, Wayne, Victor, Wilson, Peter, Wong, David, Wong, Kirby, Younger, John, Feuchtner, Gudrun, Mirzaei, Siroo, Weiss, Konrad, Maroz-Vadalazhskaya, Natallia, Gheysens, Olivier, Homans, Filip, Moreno-Reyes, Rodrigo, Pasquet, Agnè, Roelants, Veronique, Van De Heyning, Caroline M., Ríos, Raúl Araujo, Soldat-Stankovic, Valentina, Stankovic, Sinisa, Albernaz Siqueira, Maria Helena, Almeida, Augusto, Alves Togni, Paulo Henrique, Andrade, Jose Henrique, Andrade, Luciana, Anselmi, Carlo, Araújo, Roberta, Azevedo, Guilherme, Bezerra, Sabbrina, Biancardi, Rodrigo, Grossman, Gabriel Blacher, Brandão, Simone, Pianta, Diego Bromfman, Carreira, Lara, Castro, Bruno, Chang, Tien, Cunali, Fernando, Cury, Roberto, Dantas, Roberto, de Amorim Fernandes, Fernando, De Lorenzo, Andrea, De Macedo Filho, Robson, Erthal, Fernanda, Fernandes, Fabio, Fernandes, Juliano, De Souza, Thiago Ferreira, Alves, Wilson Furlan, Ghini, Bruno, Goncalves, Luiz, Gottlieb, Ilan, Hadlich, Marcelo, Kameoka, Viníciu, Lima, Ronaldo, Lima, Adna, Lopes, Rafael Willain, Machado e Silva, Ricardo, Magalhães, Tiago, Silva, Fábio Martin, Mastrocola, Luiz Eduardo, Medeiros, Fábio, Meneghetti, José Claudio, Naue, Vania, Naves, Danilo, Nolasco, Roberto, Nomura, Cesar, Oliveira, Joao Bruno, Paixao, Eduardo, De Carvalho, Filipe Penna, Pinto, Ibraim, Possetti, Priscila, Quinta, Mayra, Nogueira Ramos, Rodrigo Rizzo, Rocha, Ricardo, Rodrigues, Alfredo, Rodrigues, Carlo, Romantini, Leila, Sanches, Adelina, Santana, Sara, Sara da Silva, Leonardo, Schvartzman, Paulo, Matushita, Cristina Sebastião, Senra, Tiago, Shiozaki, Afonso, Menezes de Siqueira, Maria Eduarda, Siqueira, Cristiano, Smanio, Paola, Soares, Carlos Eduardo, Junior, José Soare, Bittencourt, Marcio Sommer, Spiro, Bernardo, Mesquita, Cláudio Tinoco, Torreao, Jorge, Torres, Rafael, Uellendahl, Marly, Monte, Guilherme Urpia, Veríssimo, Otávia, Cabeda, Estevan Vieira, Pedras, Felipe Villela, Waltrick, Roberto, Zapparoli, Marcello, Naseer, Hamid, Garcheva-Tsacheva, Marina, Kostadinova, Irena, Theng, Youdaline, Abikhzer, Gad, Barette, Rene, Chow, Benjamin, Dabreo, Dominique, Friedrich, Matthia, Garg, Ria, Hafez, Mohammed Nassoh, Johnson, Chri, Kiess, Marla, Leipsic, Jonathon, Leung, Eugene, Miller, Robert, Oikonomou, Anastasia, Probst, Stephan, Roifman, Idan, Small, Gary, Tandon, Vika, Trivedi, Adwait, White, Jame, Zukotynski, Katherine, Canessa, Jose, Muñoz, Gabriel Castro, Concha, Carmen, Hidalgo, Pablo, Lovera, Cesar, Massardo, Teresa, Vargas, Luis Salazar, Abad, Pedro, Arturo, Harold, Ayala, Sandra, Benitez, Lui, Cadena, Alberto, Caicedo, Carlo, Moncayo, Antonio Calderón, Gomez, Sharon, Gutierrez Villamil, Claudia T., Jaimes, Claudia, Londoño, Juan, Londoño Blair, Juan Lui, Pabon, Luz, Pineda, Mauricio, Rojas, Juan Carlo, Ruiz, Diego, Escobar, Manuel Valencia, Vasquez, Andre, Vergel, Damiana, Zuluaga, Alejandro, Gamboa, Isabel Berrocal, Castro, Gabriel, González, Ulise, Baric, Ana, Batinic, Tonci, Franceschi, Maja, Paar, Maja Hrabak, Jukic, Mladen, Medakovic, Petar, Persic, Viktor, Prpic, Marina, Punda, Ante, Batista, Juan Felipe, Gómez Lauchy, Juan Manuel, Gutierrez, Yamile Marco, Menéndez, Rayner, Peix, Amalia, Rochela, Lui, Panagidis, Christoforo, Petrou, Ioanni, Engelmann, Vaclav, Kaminek, Milan, Kincl, Vladimír, Lang, Otto, Simanek, Milan, Abdulla, Jawdat, Bøttcher, Morten, Christensen, Mette, Gormsen, Lars Christian, Hasbak, Philip, Hess, Søren, Holdgaard, Paw, Johansen, Allan, Kyhl, Kasper, Norgaard, Bjarne Linde, Øvrehus, Kristian Altern, Rønnow Sand, Niels Peter, Steffensen, Rolf, Thomassen, Ander, Zerahn, Bo, Perez, Alfredo, Escorza Velez, Giovanni Alejandro, Velez, Mayra Sanchez, Abdel Aziz, Islam Shawky, Abougabal, Mahasen, Ahmed, Taghreed, Allam, Adel, Asfour, Ahmed, Hassan, Mona, Hassan, Alia, Ibrahim, Ahmed, Kaffas, Sameh, Kandeel, Ahmed, Ali, Mohamed Mandour, Mansy, Ahmad, Maurice, Hany, Nabil, Sherif, Shaaban, Mahmoud, Flores, Ana Camila, Poksi, Anne, Knuuti, Juhani, Kokkonen, Velipekka, Larikka, Martti, Uusitalo, Valtteri, Bailly, Matthieu, Burg, Samuel, Deux, Jean-Françoi, Habouzit, Vincent, Hyafil, Fabien, Lairez, Olivier, Proffit, Franck, Regaieg, Hamza, Sarda-Mantel, Laure, Tacher, Vania, Schneider, Roman P., Ayetey, Harold, Angelidis, George, Archontaki, Aikaterini, Chatziioannou, Sofia, Datseris, Ioanni, Fragkaki, Christina, Georgoulias, Panagioti, Koukouraki, Sophia, Koutelou, Maria, Kyrozi, Eleni, Repasos, Evangelo, Stavrou, Petro, Valsamaki, Pipitsa, Gonzalez, Carla, Gutierrez, Goleat, Maldonado, Alejandro, Buga, Klara, Garai, Ildiko, Schmidt, Erzsébet, Szilveszter, Balint, Várady, Edit, Banthia, Nilesh, Bhagat, Jinendra Kumar, Bhargava, Rishi, Bhat, Vivek, Bhatia, Mona, Choudhury, Partha, Chowdekar, Vijay Sai, Irodi, Aparna, Jain, Shashank, Joseph, Elizabeth, Kumar, Sukriti, Girijanandan Mahapatra, Prof Dr, Mitra, Deepanjan, Mittal, Bhagwant Rai, Ozair, Ahmad, Patel, Chetan, Patel, Tapan, Patel, Ravi, Patel, Shivani, Saxena, Sudhir, Sengupta, Shantanu, Singh, Santosh, Singh, Bhanupriya, Sood, Ashwani, Verma, Atul, Affandi, Erwin, Alam, Edison, Padma, Savenadia, Gunawan, Gani, Hapkido, Habusari, Hidayat, Basuki, Huda, Aulia, Mukti, Anggoro Praja, Prawiro, Djoko, Soeriadi, Erwin Affandi, Syawaluddin, Hilman, Albadr, Amjed, Assadi, Majid, Emami, Farshad, Houshmand, Golnaz, Maleki, Majid, Rostami, Maryam Tajik, Zakavi, Seyed Rasoul, Zaid, Eed Abu, Agranovich, Svetlana, Arnson, Yoav, Bar-Shalom, Rachel, Frenkel, Alex, Knafo, Galit, Lugassi, Rachel, Maor Moalem, Israel Shlomo, Mor, Maya, Muskal, Noam, Ranser, Sara, Shalev, Aryeh, Albano, Domenico, Alongi, Pierpaolo, Arnone, Gaspare, Bagatin, Elisa, Baldari, Sergio, Bauckneht, Matteo, Bertelli, Paolo, Bianco, Francesco, Bonfiglioli, Rachele, Boni, Roberto, Bruno, Andrea, Bruno, Isabella, Busnardo, Elena, Califaretti, Elena, Camoni, Luca, Carnevale, Aldo, Casoni, Roberta, Cavallo, Armando Ugo, Cavenaghi, Giorgio, Chierichetti, Franca, Chiocchi, Marcello, Cittanti, Corrado, Colletta, Mauro, Conti, Umberto, Cossu, Alberto, Cuocolo, Alberto, Cuzzocrea, Marco, De Rimini, Maria Luisa, De Vincentis, Giuseppe, Del Giudice, Eleonora, Del Torto, Alberico, Della Tommasina, Veronica, Durmo, Rexhep, Erba, Paola Anna, Evangelista, Laura, Faletti, Riccardo, Faragasso, Evelina, Farsad, Mohsen, Ferro, Paola, Florimonte, Luigia, Frantellizzi, Viviana, Fringuelli, Fabio Massimo, Gatti, Marco, Gaudiano, Angela, Gimelli, Alessia, Giubbini, Raffaele, Giuffrida, Francesca, Ialuna, Salvatore, Laudicella, Riccardo, Leccisotti, Lucia, Leva, Lucia, Liga, Riccardo, Liguori, Carlo, Longo, Giampiero, Maffione, Margherita, Mancini, Maria Elisabetta, Marcassa, Claudio, Milan, Elisa, Nardi, Barbara, Pacella, Sara, Pepe, Giovanna, Pontone, Gianluca, Pulizzi, Sabina, Quartuccio, Natale, Rampin, Lucia, Ricci, Fabrizio, Rossini, Pierluigi, Rubini, Giuseppe, Russo, Vincenzo, Sacchetti, Gian Mauro, Sambuceti, Gianmario, Scarano, Massimo, Sciagrà, Roberto, Sperandio, Massimiliano, Stefanelli, Antonella, Ventroni, Guido, Zoboli, Stefania, Baugh, Dainia, Chambers, Duane, Madu, Ernest, Nunura, Felix, Asano, Hiroshi, Chimura, Chimura Misato, Fujimoto, Shinichiro, Fujisue, Koichiro, Fukunaga, Tomohisa, Fukushima, Yoshimitsu, Fukuyama, Kae, Hashimoto, Jun, Ichikawa, Yasutaka, Iguchi, Nobuo, Imai, Masamichi, Inaki, Anri, Ishimura, Hayato, Isobe, Satoshi, Kadokami, Toshiaki, Kato, Takao, Kumita, Shinichiro, Maruno, Hirotaka, Mataki, Hiroyuki, Miyagawa, Masao, Morimoto, Ryota, Moroi, Masao, Nagamachi, Shigeki, Nakajima, Kenichi, Nakata, Tomoaki, Nakazato, Ryo, Nanasato, Mamoru, Naya, Masanao, Norikane, Takashi, Ohta, Yasutoshi, Okayama, Satoshi, Okizaki, Atsutaka, Otomi, Yoichi, Otsuka, Hideki, Saito, Masaki, Sakata, Sakata Yasushi, Sarai, Masayoshi, Sato, Daisuke, Shiraishi, Shinya, Suwa, Yoshinobu, Takanami, Kentaro, Takehana, Kazuya, Taki, Junichi, Tamaki, Nagara, Taniguchi, Yasuyo, Teragawa, Hiroki, Tomizawa, Nobuo, Tsujita, Kenichi, Umeji, Kyoko, Wakabayashi, Yasushi, Yamada, Shinichiro, Yamazaki, Shinya, Yoneyama, Tatsuya, Rawashdeh, Mohammad, Batyrkhanov, Daultai, Dautov, Tairkhan, Makhdomi, Khalid, Ombati, Kevin, Alkandari, Faridah, Garashi, Masoud, Coie, Tchoyoson Lim, Rajvong, Sonexay, Kalinin, Artem, Kalnina, Marika, Haidar, Mohamad, Komiagiene, Renata, Kviecinskiene, Giedre, Mataciunas, Mindauga, Vajauskas, Donata, Picard, Christian, Karim, Noor Khairiah A., Reichmuth, Luise, Samuel, Anthony, Allarakha, Mohammad Aaftaab, Naojee, Ambedhkar Shantaram, Alexanderson-Rosas, Erick, Barragan, Erika, González-Montecinos, Alejandro Becerril, Cabada, Manuel, Rodriguez, Daniel Calderon, Carvajal-Juarez, Isabel, Cortés, Violeta, Cortés, Filiberto, De La Peña, Erasmo, Gama-Moreno, Manlio, González, Lui, Ramírez, Nelsy Gonzalez, Jiménez-Santos, Moisé, Matos, Lui, Monroy, Edgar, Morelos, Martha, Ornelas, Mario, Ortga Ramirez, Jose Alberto, Preciado-Anaya, André, Preciado-Gutiérrez, Óscar Ulise, Barragan, Adriana Puente, Rosales Uvera, Sandra Graciela, Sandoval, Sigelinda, Tomas, Miguel Santaularia, Sierra-Galan, Lilia M., Siu, Silvia, Vallejo, Enrique, Valles, Mario, Faraggi, Marc, Sereegotov, Erdenechimeg, Ilic, Srdja, Ben-Rais, Nozha, Alaoui, Nadia Ismaili, Taleb, Sara, Myo, Khin Pa, Thu, Phyo Si, Ghimire, Ram Kumar, Rajbanshi, Bijoy, Barneveld, Peter, Glaudemans, Andor, Habets, Jesse, Koopmans, Klaas Pieter, Manders, Jeroen, Pool, Stefan, Scholte, Arthur, Scholtens, Asbjørn, Slart, Riemer, Thimister, Paul, Van Asperen, Erik-Jan, Veltman, Niel, Verschure, Derk, Wagenaar, Nil, Edmond, John, Ellis, Chri, Johnson, Kerryanne, Keenan, Ro, Hua, Shaw, Occleshaw, Christopher, Sasse, Alexander, To, Andrew, Van Pelt, Niel, Young, Calum, Cuadra, Teresa, Roque Vanegas, Hector Bladimir, Soli, Idrissa Adamou, Issoufou, Djibrillou Moussa, Ayodele, Tolulope, Madu, Chibuzo, Onimode, Yetunde, Efros-Monsen, Elen, Forsdahl, Signe Helene, Hildre Dimmen, Jenni-Mari, Jørgensen, Arve, Krohn, Isabel, Løvhaugen, Pål, Bråten, Anders Tjellaug, Al Dhuhli, Humoud, Al Kindi, Faiza, Al-Bulushi, Naeema, Jawa, Zabah, Tag, Naima, Afzal, Muhammad Shehzad, Fatima, Shazia, Younis, Muhammad Numair, Riaz, Musab, Saadullah, Mohammad, Herrera, Yariela, Lenturut-Katal, Dora, Vázquez, Manuel Castillo, Ortellado, José, Akhter, Afroza, Cao, Dianbo, Cheung, Stephen, Dai, Xu, Gong, Lianggeng, Han, Dan, Hou, Yang, Li, Caiying, Li, Tao, Li, Dong, Li, Sijin, Liu, Jinkang, Liu, Hui, Ng, Ming Yen, Sun, Kai, Tang, Gongshun, Wang, Jian, Wang, Ximing, Wang, Zhao-Qian, Wang, Yining, Wang, Yifan, Wu, Jiang, Wu, Zhifang, Xia, Liming, Xiao, Jiangxi, Xu, Lei, Yang, Youyou, Yin, Wu, Yu, Jianqun, Yuan, Li, Zhang, Tong, Zhang, Longjiang, Zhang, Yong-Gao, Zhang, Xiaoli, Zhu, Li, Alfaro, Ana, Abrihan, Paz, Barroso, Asela, Cruz, Eric, Gomez, Marie Rhiamar, Magboo, Vincent Peter, Medina, John Michael, Obaldo, Jerry, Pastrana, Davidson, Pawhay, Christian Michael, Quinon, Alvin, Tang, Jeanelle Margareth, Tecson, Bettina, Uson, Kristine Joy, Uy, Mila, Kostkiewicz, Magdalena, Kunikowska, Jolanta, Bettencourt, Nuno, Cantinho, Guilhermina, Ferreira, Antonio, Syed, Ghulam, Arnous, Samer, Atyani, Said, Byrne, Angela, Gleeson, Tadhg, Kerins, David, Meehan, Conor, Murphy, David, Murphy, Mark, Murray, John, O'Brien, Julie, Bang, Ji-In, Bom, Henry, Cho, Sang-Geon, Hong, Chae Moon, Jang, Su Jin, Jeong, Yong Hyu, Kang, Won Jun, Kim, Ji-Young, Lee, Jaetae, Namgung, Chang Kyeong, So, Young, Won, Kyoung Sook, Majstorov, Venjamin, Vavlukis, Marija, Salobir, Barbara Gužic, Štalc, Monika, Benedek, Theodora, Benedek, Imre, Mititelu, Raluca, Stan, Claudiu Adrian, Ansheles, Alexey, Dariy, Olga, Drozdova, Olga, Gagarina, Nina, Gulyaev, Vsevolod Milyevich, Itskovich, Irina, Karalkin, Anatoly, Kokov, Alexander, Migunova, Ekaterina, Pospelov, Viktor, Ryzhkova, Daria, Saifullina, Guzaliya, Sazonova, Svetlana, Shurupova, Irina, Trifonova, Tatjana, Ussov, Wladimir Yurievich, Vakhromeeva, Margarita, Valiullina, Nailya, Zavadovsky, Konstantin, Zhuravlev, Kirill, Alasnag, Mirvat, Okarvi, Subhani, Saranovic, Dragana Sobic, Keng, Felix, Jason See, Jia Hao, Sekar, Ramkumar, Yew, Min Sen, Vondrak, Andrej, Bejai, Shereen, Bennie, George, Bester, Ria, Engelbrecht, Gerrit, Evbuomwan, Osayande, Gongxeka, Harlem, Vuuren, Magritha Jv, Kaplan, Mitchell, Khushica, Purbhoo, Lakhi, Hoosen, Louw, Lizette, Malan, Nico, Milos, Katarina, Modiselle, Moshe, More, Stuart, Naidoo, Mathava, Scholtz, Leonie, Vangu, Mboyo, Aguadé-Bruix, Santiago, Blanco, Isabel, Cabrera, Antonio, Camarero, Alicia, Casáns-Tormo, Irene, Cuellar-Calabria, Hug, Flotats, Albert, Fuentes Cañamero, Maria Eugenia, García, María Elia, Jimenez-Heffernan, Amelia, Leta, Rubén, Diaz, Javier Lopez, Lumbreras, Lui, Marquez-Cabeza, Juan Javier, Martin, Francisco, Martinez de Alegria, Anxo, Medina, Francisco, Canal, Maria Pedrera, Peiro, Virginia, Pubul-Nuñez, Virginia, Rayo Madrid, Juan Ignacio, Rey, Cristina Rodríguez, Perez, Ricardo Ruano, Ruiz, Joaquín, Hernández, Gertrudis Sabatel, Sevilla, Ana, Zeidán, Nahla, Nanayakkara, Damayanthi, Udugama, Chandraguptha, Simonsson, Magnu, Alkadhi, Hatem, Buechel, Ronny Ralf, Burger, Peter, Ceriani, Luca, De Boeck, Bart, Gräni, Christoph, Juillet de Saint Lager Lucas, Alix, Kamani, Christel H., Kawel-Boehm, Nadine, Manka, Robert, Prior, John O., Rominger, Axel, Vallée, Jean-Paul, Khiewvan, Benjapa, Premprabha, Teerapon, Thientunyakit, Tanyaluck, Sellem, Ali, Kir, Kemal Metin, Sayman, Haluk, Sebikali, Mugisha Juliu, Muyinda, Zerida, Kmetyuk, Yaroslav, Korol, Pavlo, Mykhalchenko, Olena, Pliatsek, Volodymyr, Satyr, Maryna, Albalooshi, Batool, Ahmed Hassan, Mohamed Ismail, Anderson, Jill, Bedi, Punit, Biggans, Thoma, Bularga, Anda, Bull, Russell, Burgul, Rajesh, Carpenter, John-Paul, Coles, Duncan, Cusack, David, Deshpande, Aparna, Dougan, John, Fairbairn, Timothy, Farrugia, Alexia, Gopalan, Deepa, Gummow, Alistair, Ramkumar, Prasad Guntur, Hamilton, Mark, Harbinson, Mark, Hartley, Thoma, Hudson, Benjamin, Joshi, Nikhil, Kay, Michael, Kelion, Andrew, Khokhar, Azhar, Kitt, Jamie, Lee, Ken, Low, Chen, Mak, Sze Mun, Marousa, Ntouskou, Martin, Jon, Mcalindon, Elisa, Menezes, Leon, Morgan-Hughes, Gareth, Moss, Alastair, Murray, Anthony, Nicol, Edward, Patel, Dilip, Peebles, Charle, Pugliese, Francesca, Luis Rodrigues, Jonathan Carl, Rofe, Christopher, Sabharwal, Nikant, Schofield, Rebecca, Semple, Thoma, Sharma, Naveen, Strouhal, Peter, Subedi, Deepak, Topping, William, Tweed, Katharine, Weir-Mccall, Jonathan, Abbara, Suhny, Abbasi, Taimur, Abbott, Brian, Abohashem, Shady, Abramson, Sandra, Al-Abboud, Tarek, Al-Mallah, Mouaz, Almousalli, Omar, Ananthasubramaniam, Karthikeyan, Kumar, Mohan Ashok, Askew, Jeffrey, Attanasio, Lea, Balmer-Swain, Mallory, Bayer, Richard R., Bernheim, Adam, Bhatti, Sabha, Bieging, Erik, Bloom, Stephen, Blue, Sean, Bluemke, David, Borges, Andressa, Branch, Kelley, Bravo, Paco, Brothers, Jessica, Budoff, Matthew, Bullock-Palmer, Renée, Burandt, Angela, Burke, Floyd W., Bush, Kelvin, Candela, Candace, Capasso, Elizabeth, Cavalcante, Joao, Chang, Donald, Chatterjee, Saurav, Chatzizisis, Yianni, Cheezum, Michael, Chen, Tiffany, Chen, Jennifer, Chen, Marcu, Clarcq, Jame, Cordero, Ayreen, Crim, Matthew, Danciu, Sorin, Decter, Bruce, Dhruva, Nimish, Doherty, Neil, Doukky, Rami, Dunbar, Anjori, Duvall, William, Edwards, Rachael, Esquitin, Kerry, Farah, Husam, Fentanes, Emilio, Fisher, Daniel, Fitzpatrick, Daniel, Foster, Cameron, Fuisz, Tony, Gannon, Michael, Gastner, Lori, Gerson, Myron, Ghoshhajra, Brian, Goldberg, Alan, Goldner, Brian, Gonzalez, Jorge, Gore, Rosco, Gracia-López, Sandra, Hage, Fadi, Haider, Agha, Haider, Sofia, Hamirani, Yasmin, Hassen, Karen, Hatfield, Mallory, Hawkins, Carolyn, Hawthorne, Katie, Heath, Nichola, Hendel, Robert, Hernandez, Phillip, Hill, Gregory, Horgan, Stephen, Huffman, Jeff, Hurwitz, Lynne, Iskandrian, Ami, Janardhanan, Rajesh, Jellis, Christine, Jerome, Scott, Kalra, Dinesh, Kaviratne, Summanther, Kay, Fernando, Kelly, Faith, Khalique, Omar, Kinkhabwala, Mona, Iii, George Kinzfogl, Kircher, Jacqueline, Kirkbride, Rachael, Kontos, Michael, Kottam, Anupama, Krepp, Joseph, Layer, Jay, Lee, Steven H., Leppo, Jeffrey, Lesser, John, Leung, Steve, Lewin, Howard, Litmanovich, Diana, Liu, Yiyan, Magurany, Kathleen, Markowitz, Jeremy, Marn, Amanda, Matis, Stephen E., Mckenna, Michael, Mcrae, Tony, Mendoza, Fernando, Merhige, Michael, Min, David, Moffitt, Chanan, Moncher, Karen, Moore, Warren, Morayati, Shamil, Morris, Michael, Mossa-Basha, Mahmud, Mrsic, Zorana, Murthy, Venkatesh, Nagpal, Prashant, Napier, Kyle, Nelson, Katarina, Nijjar, Prabhjot, Osman, Medhat, Passen, Edward, Patel, Amit, Patil, Pravin, Paul, Ryan, Phillips, Lawrence, Polsani, Venkateshwar, Poludasu, Rajaram, Pomerantz, Brian, Porter, Thoma, Prentice, Ryan, Pursnani, Amit, Rabbat, Mark, Ramamurti, Suresh, Rich, Florence, Luna, Hiram Rivera, Robinson, Austin, Robles, Kim, Rodríguez, Cesar, Rorie, Mark, Rumberger, John, Russell, Raymond, Sabra, Philip, Sadler, Diego, Schemmer, Mary, Schoepf, U. Joseph, Shah, Samir, Shah, Nishant, Shanbhag, Sujata, Sharma, Gaurav, Shayani, Steven, Shirani, Jamshid, Shivaram, Pushpa, Sigman, Steven, Simon, Mitch, Slim, Ahmad, Smith, David, Smith, Alexandra, Soman, Prem, Sood, Aditya, Srichai-Parsia, Monvadi Barbara, Streeter, Jame, T, Albert, Tawakol, Ahmed, Thomas, Dustin, Thompson, Randall, Torbet, Tara, Trinidad, Desiree, Ullery, Shawn, Unzek, Samuel, Uretsky, Seth, Vallurupalli, Srikanth, Verma, Vika, Waller, Alfonso, Wang, Ellen, Ward, Parker, Weissman, Gaby, Wesbey, George, White, Kelly, Wolinsky, David, Yost, Sandra, Zgaljardic, Michael, Alonso, Omar, Beretta, Mario, Ferrando, Rodolfo, Kapitan, Miguel, Mut, Fernando, Djuraev, Omoa, Rozikhodjaeva, Gulnora, Le Ngoc, Ha, Mai, Son Hong, Nguyen, Xuan Canh, Hirschfeld, C, Shaw, L, Williams, M, Lahey, R, Villines, T, Dorbala, S, Choi, A, Shah, N, Bluemke, D, Berman, D, Blankstein, R, Ferencik, M, Narula, J, Winchester, D, Malkovskiy, E, Goebel, B, Randazzo, M, Lopez-Mattei, J, Parwani, P, Vitola, J, Cerci, R, Better, N, Raggi, P, Lu, B, Sergienko, V, Sinitsyn, V, Kudo, T, Nørgaard, B, Maurovich-Horvat, P, Cohen, Y, Pascual, T, Pynda, Y, Dondi, M, Paez, D, Einstein, A, and Erba, P

Subjects
Aging, Coronavirus disease 2019 (COVID-19), Clinical Sciences, coronavirus, Disease, 030204 cardiovascular system & hematology, Cardiorespiratory Medicine and Haematology, Cardiovascular, 030218 nuclear medicine & medical imaging, NO, 03 medical and health sciences, 0302 clinical medicine, COVID-19 Testing, Cardiovascular procedures, Predictive Value of Tests, cardiovascular disease, Clinical Research, Environmental health, INCAPS-COVID Investigators Group, Pandemic, Volume reduction, Medicine, Humans, Radiology, Nuclear Medicine and imaging, cardiovascular imaging, diagnostic cardiovascular procedure, Pandemics, business.industry, SARS-CoV-2, Prevention, COVID-19, Health Services, United States/epidemiology, United States, Invasive coronary angiography, coronaviru, Heart Disease, Good Health and Well Being, MYOCARDIAL-INFARCTION, Cardiovascular System & Hematology, Predictive value of tests, HOSPITAL ADMISSIONS, Cardiology and Cardiovascular Medicine, Early phase, business
Abstract

Objectives: This study sought to quantify and compare the decline in volumes of cardiovascular procedures between the United States and non-U.S. institutions during the early phase of the coronavirus disease-2019 (COVID-19) pandemic. Background: The COVID-19 pandemic has disrupted the care of many non-COVID-19 illnesses. Reductions in diagnostic cardiovascular testing around the world have led to concerns over the implications of reduced testing for cardiovascular disease (CVD) morbidity and mortality. Methods: Data were submitted to the INCAPS-COVID (International Atomic Energy Agency Non-Invasive Cardiology Protocols Study of COVID-19), a multinational registry comprising 909 institutions in 108 countries (including 155 facilities in 40 U.S. states), assessing the impact of the COVID-19 pandemic on volumes of diagnostic cardiovascular procedures. Data were obtained for April 2020 and compared with volumes of baseline procedures from March 2019. We compared laboratory characteristics, practices, and procedure volumes between U.S. and non-U.S. facilities and between U.S. geographic regions and identified factors associated with volume reduction in the United States. Results: Reductions in the volumes of procedures in the United States were similar to those in non-U.S. facilities (68% vs. 63%, respectively; p = 0.237), although U.S. facilities reported greater reductions in invasive coronary angiography (69% vs. 53%, respectively; p < 0.001). Significantly more U.S. facilities reported increased use of telehealth and patient screening measures than non-U.S. facilities, such as temperature checks, symptom screenings, and COVID-19 testing. Reductions in volumes of procedures differed between U.S. regions, with larger declines observed in the Northeast (76%) and Midwest (74%) than in the South (62%) and West (44%). Prevalence of COVID-19, staff redeployments, outpatient centers, and urban centers were associated with greater reductions in volume in U.S. facilities in a multivariable analysis. Conclusions: We observed marked reductions in U.S. cardiovascular testing in the early phase of the pandemic and significant variability between U.S. regions. The association between reductions of volumes and COVID-19 prevalence in the United States highlighted the need for proactive efforts to maintain access to cardiovascular testing in areas most affected by outbreaks of COVID-19 infection.

Published
2021

16. Progression of Plaque Burden of Intracranial Atherosclerotic Plaque Predicts Recurrent Stroke/Transient Ischemic Attack: A Pilot Follow‐Up Study Using Higher‐Resolution <scp>MRI</scp>

Author

Qi Liu, Ming Zhao, Mahmud Mossa-Basha, Jianping Lu, Jing Li, Zhang Shi, Xuefeng Zhang, Andrew J. Degnan, Chengcheng Zhu, and David Saloner

Subjects
medicine.medical_specialty, recurrence, Intracranial atherosclerosis, Lumen (anatomy), 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Internal medicine, ischemic stroke, medicine, Humans, Radiology, Nuclear Medicine and imaging, Prospective Studies, Stage (cooking), Stroke, Research Articles, Original Research, medicine.diagnostic_test, Proportional hazards model, business.industry, Hazard ratio, Magnetic resonance imaging, Intracranial Arteriosclerosis, medicine.disease, Magnetic Resonance Imaging, Plaque, Atherosclerotic, Confidence interval, Stenosis, Ischemic Attack, Transient, Cardiology, progression, Neuro, business, Follow-Up Studies
Abstract

Author(s): Shi, Zhang; Li, Jing; Zhao, Ming; Zhang, Xuefeng; Degnan, Andrew J; Mossa-Basha, Mahmud; Saloner, David; Lu, Jianping; Liu, Qi; Zhu, Chengcheng | Abstract: BackgroundPatients with intracranial atherosclerotic disease (ICAD) have a high frequency of stroke recurrence. However, there has been little investigation into the prognostic value of higher-resolution magnetic resonance imaging (HR-MRI).PurposeTo investigate the use of intracranial atherosclerotic plaques features in predicting risk of recurrent cerebrovascular ischemic events using HR-MRI.Study typeProspective.PopulationFifty-eight patients with acute/subacute stroke (Nn=n46) or transient ischemic attack (Nn=n12).Field strength/sequenceA 3.0 T, 3D time-of-flight gradient echo sequence and T1- and T2-weighted fast spin echo sequences with 0.31 x 0.39 mm2 in-plane resolution, twice (with g3 months between scans) following the initial event.AssessmentPatients were also followed clinically for recurrent ischemic events for up to 48 months or until a subsequent event occurred. The degree of stenosis, plaque burden (PB), minimal lumen area (MLA), and contrast enhancement ratio were assessed at each scanning session and the percentage change of each over time was calculated.Statistical testsUnivariable and multivariable Cox regression analyses were used to calculate the hazard ratio (HR) and 95% confidence interval (CI) for predicting recurrent events.ResultsThe mean time interval between baseline and follow-up MRI scans was 6.2 ± 4.1 months. After the second MRI scan, 20.7% of patients (Nn=n12) had experienced ipsilateral recurrent TIA/stroke within 10.9 ± 9.2 months. Univariable analyses showed that baseline triglyceride, percentage change of PB, and progression of PB were significantly associated with recurrent events (all P l 0.05). Multivariable Cox regression indicated that progression of PB (HR, 6.293; 95% CI, 1.620-24.444; P l 0.05) was a significant independent imaging feature for recurrent ischemic events.Data conclusionProgression of PB was independently associated with recurrent ischemic cerebrovascular events. HR-MRI may help risk stratification of patients at risk of recurrent stroke.Level of evidence2 TECHNICAL EFFICACY: Stage 4.

Published
2021

17. COVID-19 in Egyptian Children: A Multicenter Study

Author

Hamdy Ibrahim, Amin Abdel Baki, Samy Zaky, Akram Abdelbary, Hossam Hosny, Wagdy Amin, Ehab Kamal, Ahmad Said, Marwa Tahoon, Mohamed El Badry, Fathiya El-Raey, Mohamed Hassany, Abdelmajeed Mossa, Hala Zaid, Gehan Elassal, Shazly Baghdady, Noha Asem, and Alaa Eid

Subjects
medicine.medical_specialty, Pediatrics, Isolation (health care), Coronavirus disease 2019 (COVID-19), business.industry, Outbreak, Retrospective cohort study, Asymptomatic, 03 medical and health sciences, 0302 clinical medicine, Infectious Diseases, Multicenter study, 030225 pediatrics, Pediatrics, Perinatology and Child Health, Epidemiology, medicine, Observational study, 030212 general & internal medicine, medicine.symptom, business
Abstract

Objective The novel coronavirus disease 2019 (COVID-19) has made its worldwide spread since its outbreak in December 2019. Limited information is available about the epidemiology and clinical characteristics of COVID-19, especially in Africa and Egypt. Methods We aimed to study the clinical and epidemiological characteristics of COVID-19 in Egyptian children. This is an observational retrospective cohort study performed at two specialized COVID-19 isolation hospitals in Egypt. All admitted COVID-19 pediatric patients between March 20, 2020, and May 1, 2020, were included in the study. Discussion This study included 40 COVID-19 confirmed cases (mean age, 9.4 years), 67.5% were male, 85% were asymptomatic, and 15% had mild symptoms. There were no confirmed severe or critically ill cases among the patients. Conclusion COVID-19 runs in a benign course in Egyptian children with no mortality and no significant morbidity.

Published
2021

18. Complications of Goitre Surgery in 'A' Surgery at the Chu of Point G

Author

L. Soumaré, S. Keita, Zimogo Zié Sanogo, Sekou Koumaré, Adaman F. Traoré, D Goita, O. Sacko, Mossa Camara, H. Dicko, Siaka Diallo, Sidiki Keita, M. Sissoko, A. Camara, Mahamadou Coulibaly, and A. Koita

Subjects
endocrine system, medicine.medical_specialty, Goiter, endocrine system diseases, business.industry, Thyroid disease, Phonation Disorders, Retrospective cohort study, Surgical procedures, medicine.disease, Surgery, Initial treatment, Medicine, Euthyroid, Partial thyroidectomy, business
Abstract

Total or partial thyroidectomy has been proposed as the initial treatment for benign euthyroid oiter. The aim of this study is to determine the complications associated with surgical procedures for goiter, based on our experience. Material and method: A retrospective study over 10 years concerning 409 patients operated on for goiters in the department with 48 cases of complications. Results: 409 patients operated on for goiter in the department with 48 cases of complications (11.82%). The per- and post-operative complications were: hemorrhage (18: 4.40%), recurrent lesions (1; 0.24%), 8 cases of infection (1.96%), 5 cases of transient hypocalcemia (1.22%) and phonation disorders 9 cases (2.20%). Conclusion: Complications from goiter surgery seem to be more related to thyroid disease and the surgeon’s experience than to the surgical procedure. Better knowledge of the factors leading to complications will improve the outcome of goiter surgery.

Published
2021

19. Information-based processing time affected by human age: An objective parameters-based model

Author

Francesco Facchini, Daniela Cavallo, and Giorgio Mossa

Subjects
Consumption (economics), Aging, business.industry, Computer science, Work (physics), Cognition, Machine learning, computer.software_genre, Task (project management), Cognitive-motor task, Oxygen Consumption, Heart Rate, Control and Systems Engineering, Cognitive-motor processing time, Artificial intelligence, business, computer, Respiratory capacity
Abstract

Recent studies show that an increasing amount of information, in terms of cognitive and motor demand, is required from tasks to be performed in work environments where Industry 4.0 technologies are implemented. In this paper, an objective parameters-based theoretical model is proposed to estimate the information-based processing time of a motor and cognitive task. The evaluation of the information-based processing time is based on two physiological parameters: Oxygen Consumption and Heart Rate. The effectiveness of the model on both cognitive and motor case study is tested. The results achieved shown that the individual respiratory capacity significantly affects the evaluation of the information-based processing time. More generally, a higher respiratory capacity allows to minimize the information-based processing time, improving the individual’s performance.

Published
2021

20. Qualitative and Quantitative Wall Enhancement on Magnetic Resonance Imaging Is Associated With Symptoms of Unruptured Intracranial Aneurysms

Author

Xinbin Guo, Mahmud Mossa-Basha, Yuting Wang, Yi Zhang, Qichang Fu, Zhiqiang Yao, Haowen Xu, Jinxia Zhu, Jingliang Cheng, Meng Wang, Sheng Guan, Chengcheng Zhu, Michael R. Levitt, and Yong Zhang

Subjects
Advanced and Specialized Nursing, medicine.medical_specialty, medicine.diagnostic_test, Imaging biomarker, business.industry, Magnetic resonance imaging, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Medicine, Neurology (clinical), Radiology, Cardiology and Cardiovascular Medicine, business, 030217 neurology & neurosurgery
Abstract

Background and Purpose: Aneurysmal wall enhancement (AWE) on vessel wall magnetic resonance imaging (VW-MRI) has been described as a new imaging biomarker of unstable unruptured intracranial aneurysms (UIAs). Previous studies of symptomatic UIAs are limited due to small sample sizes and lack of AWE quantification. Our study aims to investigate whether qualitative and quantitative assessment of AWE can differentiate symptomatic and asymptomatic UIAs. Methods: Consecutive patients with UIAs were prospectively recruited for vessel wall magnetic resonance imaging at 3T from October 2014 to October 2019. UIAs were categorized as symptomatic if presenting with sentinel headache or oculomotor nerve palsy directly related to the aneurysm. Evaluation of wall enhancement included enhancement pattern (0=none, 1=focal, and 2=circumferential) and quantitative wall enhancement index (WEI). Univariate and multivariate analyses were used to identify the parameters associated with symptoms. Results: Two hundred sixty-seven patients with 341 UIAs (93 symptomatic and 248 asymptomatic) were included in this study. Symptomatic UIAs more frequently showed circumferential AWE than asymptomatic UIAs (66.7% versus 17.3%, P P P =0.01; odds ratio=3.32 for WEI [95% CI, 1.51–7.26], P =0.003). The combination of AWE pattern and WEI had an area under the curve of 0.91 to identify symptomatic UIAs, with a sensitivity of 95.7% and a specificity of 73.4%. Conclusions: In a large cohort of UIAs with vessel wall magnetic resonance imaging, both AWE pattern and WEI were independently associated with aneurysm-related symptoms. The qualitative and quantitative features of AWE can potentially be used to identify unstable intracranial aneurysms.

Published
2021

21. International Impact of COVID-19 on the Diagnosis of Heart Disease

Author

Einstein, A. J., Shaw, L. J., Hirschfeld, C., Williams, M. C., Villines, T. C., Better, N., Vitola, J. V., Cerci, R., Dorbala, S., Raggi, P., Choi, A. D., Lu, B., Sinitsyn, V., Sergienko, V., Kudo, T., Norgaard, B. L., Maurovich-Horvat, P., Campisi, R., Milan, E., Louw, L., Allam, A. H., Bhatia, M., Malkovskiy, E., Goebel, B., Cohen, Y., Randazzo, M., Narula, J., Pascual, T. N. B., Pynda, Y., Dondi, M., Gerd Hinterleitner, Paez D., Yao, Lu, Olga, Morozova, Zhuoran, Xu, Juan, Lopez-Mattei, Purvi, Parwani, Mohammad Nawaz Nasery, Artan, Goda, Ervina, Shirka, Rabie, Benlabgaa, Salah, Bouyoucef, Abdelkader, Medjahedi, Qais, Nailli, Mariela, Agolti, Roberto Nicolas Aguero, Maria Del Carmen Alak, Lucia Graciela Alberguina, Guillermo, Arroñada, Andrea, Astesiano, Alfredo, Astesiano, Carolina Bas Norton, Pablo, Benteo, Juan, Blanco, Juan Manuel Bonelli, Jose Javier Bustos, Raul, Cabrejas, Jorge, Cachero, Alejandro, Canderoli, Silvia, Carames, Patrícia, Carrascosa, Ricardo, Castro, Oscar, Cendoya, Luciano Martin Cognigni, Carlos, Collaud, Claudia, Cortes, Javier, Courtis, Daniel, Cragnolino, Mariana, Daicz, Alejandro De La Vega, Silvia Teresa De Maria, Horacio Del Riego, Fernando, Dettori, Alejandro, Deviggiano, Laura, Dragonetti, Mario, Embon, Ruben Emilio Enriquez, Jorge, Ensinas, Fernando, Faccio, Adolfo, Facello, Diego, Garofalo, Ricardo, Geronazzo, Natalia, Gonza, Lucas, Gutierrez, Miguel Angel Guzzo, Victor, Hasbani, Melina, Huerin, Victor, Jäger, Julio Manuel Lewkowicz, Maria Nieves, A López De Munaín, Jose Maria Lotti, Alejandra, Marquez, Osvaldo, Masoli, Edgardo, Mastrovito, Matias, Mayoraz, Graciela Eva Melado, Anibal, Mele, Maria Fernanda Merani, Alejandro Horacio Meretta, Susana, Molteni, Marcos, Montecinos, Eduardo, Noguera, Carlos, Novoa, Claudio Pereyra Sueldo, Sebastian Perez Ascani, Pablo, Pollono, Maria Paula Pujol, Alejandro, Radzinschi, Gustavo, Raimondi, Marcela, Redruello, Marina, Rodríguez, Matías, Rodríguez, Romina Lorena Romero, Arturo Romero Acuña, Federico, Rovaletti, Lucas San Miguel, Lucrecia, Solari, Bruno, Strada, Sonia, Traverso, Sonia Simona Traverzo, Maria Del Huerto Velazquez Espeche, Juan Sebastian Weihmuller, Juan, Wolcan, Susana, Zeffiro, Mari, Sakanyan, Scott, Beuzeville, Raef, Boktor, Patrick, Butler, Jennifer, Calcott, Loretta, Carr, Virgil, Chan, Charles, Chao, Woon, Chong, Mark, Dobson, D'Arne, Downie, Girish, Dwivedi, Barry, Elison, Jean, Engela, Roslyn, Francis, Anand, Gaikwad, Ashok Gangasandra Basavaraj, Bruce, Goodwin, Robert, Greenough, Christian, Hamilton-Craig, Victar, Hsieh, Subodh, Joshi, Karin, Lederer, Kenneth, Lee, Joseph, Lee, John, Magnussen, Nghi, Mai, Gordon, Mander, Fiona, Murton, Dee, Nandurkar, Johanne, Neill, Edward, O'Rourke, Patricia, O'Sullivan, George, Pandos, Kunthi, Pathmaraj, Alexander, Pitman, Rohan, Poulter, Manuja, Premaratne, David, Prior, Lloyd, Ridley, Natalie, Rutherford, Hamid, Salehi, Connor, Saunders, Luke, Scarlett, Sujith, Seneviratne, Deepa, Shetty, Ganesh, Shrestha, Jonathan, Shulman, Vijay, Solanki, Tony, Stanton, Murch, Stuart, Michael, Stubbs, Ian, Swainson, Kim, Taubman, Andrew, Taylor, Paul, Thomas, Steven, Unger, Anthony, Upton, Shankar, Vamadevan, William Van Gaal, Johan, Verjans, Demetrius, Voutnis, Victor, Wayne, Peter, Wilson, David, Wong, Kirby, Wong, John, Younger, Gudrun, Feuchtner, Siroos, Mirzaei, Konrad, Weiss, Natallia, Maroz-Vadalazhskaya, Olivier, Gheysens, Filip, Homans, Rodrigo, Moreno-Reyes, Agnès, Pasquet, Veronique, Roelants, Caroline, M Van De Heyning, Raúl Araujo Ríos, Valentina, Soldat-Stankovic, Sinisa, Stankovic, Maria Helena Albernaz Siqueira, Augusto, Almeida, Paulo Henrique Alves Togni, Jose Henrique Andrade, Luciana, Andrade, Carlos, Anselmi, Roberta, Araújo, Guilherme, Azevedo, Sabbrina, Bezerra, Rodrigo, Biancardi, Gabriel Blacher Grossman, Simone, Brandão, Diego Bromfman Pianta, Lara, Carreira, Bruno, Castro, Tien, Chang, Fernando Cunali Jr, Roberto, Cury, Roberto, Dantas, Fernando de Amorim Fernandes, Andrea De Lorenzo, Robson De Macedo Filho, Fernanda, Erthal, Fabio, Fernandes, Juliano, Fernandes, Thiago Ferreira De Souza, Wilson Furlan Alves, Bruno, Ghini, Luiz, Goncalves, Ilan, Gottlieb, Marcelo, Hadlich, Vinícius, Kameoka, Ronaldo, Lima, Adna, Lima, Rafael Willain Lopes, Ricardo Machado, E Silva, Tiago, Magalhães, Fábio Martins Silva, Luiz Eduardo Mastrocola, Fábio, Medeiros, José Claudio Meneghetti, Vania, Naue, Danilo, Naves, Roberto, Nolasco, Cesar, Nomura, Joao Bruno Oliveira, Eduardo, Paixao, Filipe Penna De Carvalho, Ibraim, Pinto, Priscila, Possetti, Mayra, Quinta, Rodrigo Rizzo Nogueira Ramos, Ricardo, Rocha, Alfredo, Rodrigues, Carlos, Rodrigues, Leila, Romantini, Adelina, Sanches, Sara, Santana, Leonardo Sara da Silva, Paulo, Schvartzman, Cristina Sebastião Matushita, Tiago, Senra, Afonso, Shiozaki, Maria Eduarda Menezes de Siqueira, Cristiano, Siqueira, Paola, Smanio, Carlos Eduardo Soares, José Soares Junior, Marcio Sommer Bittencourt, Bernardo, Spiro, Cláudio Tinoco Mesquita, Jorge, Torreao, Rafael, Torres, Marly, Uellendahl, Guilherme Urpia Monte, Otávia, Veríssimo, Estevan Vieira Cabeda, Felipe Villela Pedras, Roberto, Waltrick, Marcello, Zapparoli, Hamid, Naseer, Marina, Garcheva-Tsacheva, Irena, Kostadinova, Youdaline, Theng, Gad, Abikhzer, Rene, Barette, Benjamin, Chow, Dominique, Dabreo, Matthias, Friedrich, Ria, Garg, Mohammed Nassoh Hafez, Chris, Johnson, Marla, Kiess, Jonathon, Leipsic, Eugene, Leung, Robert, Miller, Anastasia, Oikonomou, Stephan, Probst, Idan, Roifman, Gary, Small, Vikas, Tandon, Adwait, Trivedi, James, White, Katherine, Zukotynski, Jose, Canessa, Gabriel Castro Muñoz, Carmen, Concha, Pablo, Hidalgo, Cesar, Lovera, Teresa, Massardo, Luis Salazar Vargas, Pedro, Abad, Harold, Arturo, Sandra, Ayala, Luis, Benitez, Alberto, Cadena, Carlos, Caicedo, Antonio Calderón Moncayo, Sharon, Gomez, Claudia, T Gutierrez Villamil, Claudia, Jaimes, Juan Luis Londoño Blair, Luz, Pabon, Mauricio, Pineda, Juan Carlos Rojas, Diego, Ruiz, Manuel Valencia Escobar, Andres, Vasquez, Damiana, Vergel, Alejandro, Zuluaga, Isabel Berrocal Gamboa, Gabriel, Castro, Ulises, González, Ana, Baric, Tonci, Batinic, Maja, Franceschi, Maja Hrabak Paar, Mladen, Jukic, Petar, Medakovic, Viktor, Persic, Marina, Prpic, Ante, Punda, Juan Felipe Batista, Juan Manuel Gómez Lauchy, Yamile Marcos Gutierrez, Rayner, Menéndez, Amalia, Peix, Luis, Rochela, Christoforos, Panagidis, Ioannis, Petrou, Vaclav, Engelmann, Milan, Kaminek, Vladimír, Kincl, Otto, Lang, Milan, Simanek, Jawdat, Abdulla, Morten, Bøttcher, Mette, Christensen, Lars Christian Gormsen, Philip, Hasbak, Søren, Hess, Paw, Holdgaard, Allan, Johansen, Kasper, Kyhl, Kristian Altern Øvrehus, Niels Peter Rønnow Sand, Rolf, Steffensen, Anders, Thomassen, Zerahn, Bo, Alfredo, Perez, Giovanni Alejandro Escorza Velez, Mayra Sanchez Velez, Islam Shawky Abdel Aziz, Mahasen, Abougabal, Taghreed, Ahmed, Ahmed, Asfour, Mona, Hassan, Alia, Hassan, Ahmed, Ibrahim, Sameh, Kaffas, Ahmed, Kandeel, Mohamed Mandour Ali, Ahmad, Mansy, Hany, Maurice, Sherif, Nabil, Mahmoud, Shaaban, Ana Camila Flores, Anne, Poksi, Juhani, Knuuti, Velipekka, Kokkonen, Martti, Larikka, Valtteri, Uusitalo, Matthieu, Bailly, Samuel, Burg, Jean-François, Deux, Vincent, Habouzit, Fabien, Hyafil, Olivier, Lairez, Franck, Proffit, Hamza, Regaieg, Laure, Sarda-Mantel, Vania, Tacher, Roman, P Schneider, Harold, Ayetey, George, Angelidis, Aikaterini, Archontaki, Sofia, Chatziioannou, Ioannis, Datseris, Christina, Fragkaki, Panagiotis, Georgoulias, Sophia, Koukouraki, Maria, Koutelou, Eleni, Kyrozi, Evangelos, Repasos, Petros, Stavrou, Pipitsa, Valsamaki, Carla, Gonzalez, Goleat, Gutierrez, Alejandro, Maldonado, Klara, Buga, Ildiko, Garai, Erzsébet, Schmidt, Balint, Szilveszter, Edit, Várady, Nilesh, Banthia, Jinendra Kumar Bhagat, Rishi, Bhargava, Vivek, Bhat, Partha, Choudhury, Vijay Sai Chowdekar, Aparna, Irodi, Shashank, Jain, Elizabeth, Joseph, Sukriti, Kumar, Girijanandan, Mahapatra, Deepanjan, Mitra, Bhagwant Rai Mittal, Ahmad, Ozair, Chetan, Patel, Tapan, Patel, Ravi, Patel, Shivani, Patel, Sudhir, Saxena, Shantanu, Sengupta, Santosh, Singh, Bhanupriya, Singh, Ashwani, Sood, Atul, Verma, Erwin, Affandi, Padma Savenadia Alam, Edison, Edison, Gani, Gunawan, Habusari, Hapkido, Basuki, Hidayat, Aulia, Huda, Anggoro Praja Mukti, Djoko, Prawiro, Erwin Affandi Soeriadi, Hilman, Syawaluddin, Amjed, Albadr, Majid, Assadi, Farshad, Emami, Golnaz, Houshmand, Majid, Maleki, Maryam Tajik Rostami, Seyed Rasoul Zakavi, Eed Abu Zaid, Svetlana, Agranovich, Yoav, Arnson, Rachel, Bar-Shalom, Alex, Frenkel, Galit, Knafo, Rachel, Lugassi, Israel Shlomo Maor Moalem, Maya, Mor, Noam, Muskal, Sara, Ranser, Aryeh, Shalev, Domenico, Albano, Pierpaolo, Alongi, Gaspare, Arnone, Elisa, Bagatin, Sergio, Baldari, Matteo, Bauckneht, Paolo, Bertelli, Francesco, Bianco, Rachele, Bonfiglioli, Roberto, Boni, Andrea, Bruno, Isabella, Bruno, Elena, Busnardo, Elena, Califaretti, Luca, Camoni, Aldo, Carnevale, Roberta, Casoni, Armando Ugo Cavallo, Giorgio, Cavenaghi, Franca, Chierichetti, Marcello, Chiocchi, Corrado, Cittanti, Mauro, Colletta, Umberto, Conti, Alberto, Cossu, Alberto, Cuocolo, Marco, Cuzzocrea, Maria Luisa De Rimini, Giuseppe De Vincentis, Eleonora Del Giudice, Alberico Del Torto, DELLA TOMMASINA, Veronica, Rexhep, Durmo, Erba, PAOLA ANNA, Laura, Evangelista, Riccardo, Faletti, Evelina, Faragasso, Mohsen, Farsad, Paola, Ferro, Luigia, Florimonte, Viviana, Frantellizzi, Fabio Massimo Fringuelli, Marco, Gatti, Angela, Gaudiano, Alessia, Gimelli, Raffaele, Giubbini, Francesca, Giuffrida, Salvatore, Ialuna, Riccardo, Laudicella, Lucia, Leccisotti, Lucia, Leva, Liga, Riccardo, Carlo, Liguori, Giampiero, Longo, Margherita, Maffione, Maria Elisabetta Mancini, Claudio, Marcassa, Barbara, Nardi, Sara, Pacella, Giovanna, Pepe, Gianluca, Pontone, Sabina, Pulizzi, Natale, Quartuccio, Lucia, Rampin, Fabrizio, Ricci, Pierluigi, Rossini, Giuseppe, Rubini, Vincenzo, Russo, Gian Mauro Sacchetti, Gianmario, Sambuceti, Massimo, Scarano, Roberto, Sciagrà, Massimiliano, Sperandio, Antonella, Stefanelli, Guido, Ventroni, Stefania, Zoboli, Dainia, Baugh, Duane, Chambers, Ernest, Madu, Felix, Nunura, Hiroshi, Asano, Chimura Misato Chimura, Shinichiro, Fujimoto, Koichiro, Fujisue, Tomohisa, Fukunaga, Yoshimitsu, Fukushima, Kae, Fukuyama, Jun, Hashimoto, Yasutaka, Ichikawa, Nobuo, Iguchi, Masamichi, Imai, Anri, Inaki, Hayato, Ishimura, Satoshi, Isobe, Toshiaki, Kadokami, Takao, Kato, Shinichiro, Kumita, Hirotaka, Maruno, Hiroyuki, Mataki, Masao, Miyagawa, Ryota, Morimoto, Masao, Moroi, Shigeki, Nagamachi, Kenichi, Nakajima, Tomoaki, Nakata, Ryo, Nakazato, Mamoru, Nanasato, Masanao, Naya, Takashi, Norikane, Yasutoshi, Ohta, Satoshi, Okayama, Atsutaka, Okizaki, Yoichi, Otomi, Hideki, Otsuka, Masaki, Saito, Sakata Yasushi Sakata, Masayoshi, Sarai, Daisuke, Sato, Shinya, Shiraishi, Yoshinobu, Suwa, Kentaro, Takanami, Kazuya, Takehana, Junichi, Taki, Nagara, Tamaki, Yasuyo, Taniguchi, Hiroki, Teragawa, Nobuo, Tomizawa, Kenichi, Tsujita, Kyoko, Umeji, Yasushi, Wakabayashi, Shinichiro, Yamada, Shinya, Yamazaki, Tatsuya, Yoneyama, Mohammad, Rawashdeh, Daultai, Batyrkhanov, Tairkhan, Dautov, Khalid, Makhdomi, Kevin, Ombati, Faridah, Alkandari, Masoud, Garashi, Tchoyoson Lim Coie, Sonexay, Rajvong, Artem, Kalinin, Marika, Kalnina, Mohamad, Haidar, Renata, Komiagiene, Giedre, Kviecinskiene, Mindaugas, Mataciunas, Donatas, Vajauskas, Christian, Picard, Noor Khairiah, A Karim, Luise, Reichmuth, Anthony, Samuel, Mohammad Aaftaab Allarakha, Ambedhkar Shantaram Naojee, Erick, Alexanderson-Rosas, Erika, Barragan, Alejandro Becerril González-Montecinos, Manuel, Cabada, Daniel Calderon Rodriguez, Isabel, Carvajal-Juarez, Violeta, Cortés, Filiberto, Cortés, Erasmo De La Peña, Manlio, Gama-Moreno, Luis, González, Nelsy Gonzalez Ramírez, Moisés, Jiménez-Santos, Luis, Matos, Edgar, Monroy, Martha, Morelos, Mario, Ornelas, Jose Alberto Ortga Ramirez, Andrés, Preciado-Anaya, Óscar Ulises Preciado-Gutiérrez, Adriana Puente Barragan, Sandra Graciela Rosales Uvera, Sigelinda, Sandoval, Miguel Santaularia Tomas, Lilia, M Sierra-Galan, Silvia, Siu, Enrique, Vallejo, Mario, Valles, Marc, Faraggi, Erdenechimeg, Sereegotov, Srdja, Ilic, Nozha, Ben-Rais, Nadia Ismaili Alaoui, Sara, Taleb, Khin Pa Pa Myo, Phyo Si Thu, Ram Kumar Ghimire, Bijoy, Rajbanshi, Peter, Barneveld, Andor, Glaudemans, Jesse, Habets, Klaas Pieter Koopmans, Jeroen, Manders, Stefan, Pool, Arthur, Scholte, Asbjørn, Scholtens, Riemer, Slart, Paul, Thimister, Erik-Jan Van Asperen, Niels, Veltman, Derk, Verschure, Nils, Wagenaar, John, Edmond, Chris, Ellis, Kerryanne, Johnson, Ross, Keenan, Shaw Hua Anthony Kueh, Christopher, Occleshaw, Alexander, Sasse, Andrew, To, Niels Van Pelt, Calum, Young, Teresa, Cuadra, Hector Bladimir Roque Vanegas, Idrissa Adamou Soli, Djibrillou Moussa Issoufou, Tolulope, Ayodele, Chibuzo, Madu, Yetunde, Onimode, Elen, Efros-Monsen, Signe Helene Forsdahl, Jenni-Mari Hildre Dimmen, Arve, Jørgensen, Isabel, Krohn, Pål, Løvhaugen, Anders Tjellaug Bråten, Humoud Al Dhuhli, Faiza Al Kindi, Naeema, Al-Bulushi, Zabah, Jawa, Naima, Tag, Muhammad Shehzad Afzal, Shazia, Fatima, Muhammad Numair Younis, Musab, Riaz, Mohammad, Saadullah, Yariela, Herrera, Dora, Lenturut-Katal, Manuel Castillo Vázquez, José, Ortellado, Afroza, Akhter, Dianbo, Cao, Stephen, Cheung, Dai, Xu, Lianggeng, Gong, Dan, Han, Yang, Hou, Caiying, Li, Tao, Li, Dong, Li, Sijin, Li, Jinkang, Liu, Hui, Liu, Ming Yen Ng, Kai, Sun, Gongshun, Tang, Jian, Wang, Ximing, Wang, Zhao-Qian, Wang, Yining, Wang, Yifan, Wang, Jiang, Wu, Zhifang, Wu, Liming, Xia, Jiangxi, Xiao, Lei, Xu, Youyou, Yang, Yin, Wu, Jianqun, Yu, Yuan, Li, Tong, Zhang, Longjiang, Zhang, Yong-Gao, Zhang, Xiaoli, Zhang, Zhu, Li, Ana, Alfaro, Paz, Abrihan, Asela, Barroso, Eric, Cruz, Marie Rhiamar Gomez, Vincent Peter Magboo, John Michael Medina, Jerry, Obaldo, Davidson, Pastrana, Christian Michael Pawhay, Alvin, Quinon, Jeanelle Margareth Tang, Bettina, Tecson, Kristine Joy Uson, Mila, Uy, Magdalena, Kostkiewicz, Jolanta, Kunikowska, Nuno, Bettencourt, Guilhermina, Cantinho, Antonio, Ferreira, Ghulam, Syed, Samer, Arnous, Said, Atyani, Angela, Byrne, Tadhg, Gleeson, David, Kerins, Conor, Meehan, David, Murphy, Mark, Murphy, John, Murray, Julie, O'Brien, Ji-In, Bang, Henry, Bom, Sang-Geon, Cho, Chae Moon Hong, Su Jin Jang, Yong Hyu Jeong, Won Jun Kang, Ji-Young, Kim, Jaetae, Lee, Chang Kyeong Namgung, Young, So, Kyoung Sook Won, Venjamin, Majstorov, Marija, Vavlukis, Barbara Gužic Salobir, Monika, Štalc, Theodora, Benedek, Imre, Benedek, Raluca, Mititelu, Claudiu Adrian Stan, Alexey, Ansheles, Olga, Dariy, Olga, Drozdova, Nina, Gagarina, Vsevolod Milyevich Gulyaev, Irina, Itskovich, Anatoly, Karalkin, Alexander, Kokov, Ekaterina, Migunova, Viktor, Pospelov, Daria, Ryzhkova, Guzaliya, Saifullina, Svetlana, Sazonova, Irina, Shurupova, Tatjana, Trifonova, Wladimir Yurievich Ussov, Margarita, Vakhromeeva, Nailya, Valiullina, Konstantin, Zavadovsky, Kirill, Zhuravlev, Mirvat, Alasnag, Subhani, Okarvi, Dragana Sobic Saranovic, Felix, Keng, Jia Hao Jason See, Ramkumar, Sekar, Min Sen Yew, Andrej, Vondrak, Shereen, Bejai, George, Bennie, Ria, Bester, Gerrit, Engelbrecht, Osayande, Evbuomwan, Harlem, Gongxeka, Magritha Jv Vuuren, Mitchell, Kaplan, Purbhoo, Khushica, Hoosen, Lakhi, Nico, Malan, Katarina, Milos, Moshe, Modiselle, Stuart, More, Mathava, Naidoo, Leonie, Scholtz, Mboyo, Vangu, Santiago, Aguadé-Bruix, Isabel, Blanco, Antonio, Cabrera, Alicia, Camarero, Irene, Casáns-Tormo, Hug, Cuellar-Calabria, Albert, Flotats, Maria Eugenia Fuentes Cañamero, María Elia García, Amelia, Jimenez-Heffernan, Rubén, Leta, Javier Lopez Diaz, Luis, Lumbreras, Juan Javier Marquez-Cabeza, Francisco, Martin, Anxo Martinez de Alegria, Francisco, Medina, Maria Pedrera Canal, Virginia, Peiro, Virginia, Pubul-Nuñez, Juan Ignacio Rayo Madrid, Cristina Rodríguez Rey, Ricardo Ruano Perez, Joaquín, Ruiz, Gertrudis Sabatel Hernández, Ana, Sevilla, Nahla, Zeidán, Damayanthi, Nanayakkara, Chandraguptha, Udugama, Magnus, Simonsson, Hatem, Alkadhi, Ronny Ralf Buechel, Peter, Burger, Luca, Ceriani, Bart De Boeck, Christoph, Gräni, Alix Juillet de Saint Lager Lucas, Christel, H Kamani, Nadine, Kawel-Boehm, Robert, Manka, John, O Prior, Axel, Rominger, Jean-Paul, Vallée, Benjapa, Khiewvan, Teerapon, Premprabha, Tanyaluck, Thientunyakit, Ali, Sellem, Kemal Metin Kir, Haluk, Sayman, Mugisha Julius Sebikali, Zerida, Muyinda, Yaroslav, Kmetyuk, Pavlo, Korol, Olena, Mykhalchenko, Volodymyr, Pliatsek, Maryna, Satyr, Batool, Albalooshi, Mohamed Ismail Ahmed Hassan, Jill, Anderson, Punit, Bedi, Thomas, Biggans, Anda, Bularga, Russell, Bull, Rajesh, Burgul, John-Paul, Carpenter, Duncan, Coles, David, Cusack, Aparna, Deshpande, John, Dougan, Timothy, Fairbairn, Alexia, Farrugia, Deepa, Gopalan, Alistair, Gummow, Prasad Guntur Ramkumar, Mark, Hamilton, Mark, Harbinson, Thomas, Hartley, Benjamin, Hudson, Nikhil, Joshi, Michael, Kay, Andrew, Kelion, Azhar, Khokhar, Jamie, Kitt, Ken, Lee, Chen, Low, Sze Mun Mak, Ntouskou, Marousa, Jon, Martin, Elisa, Mcalindon, Leon, Menezes, Gareth, Morgan-Hughes, Alastair, Moss, Anthony, Murray, Edward, Nicol, Dilip, Patel, Charles, Peebles, Francesca, Pugliese, Jonathan Carl Luis Rodrigues, Christopher, Rofe, Nikant, Sabharwal, Rebecca, Schofield, Thomas, Semple, Naveen, Sharma, Peter, Strouhal, Deepak, Subedi, William, Topping, Katharine, Tweed, Jonathan, Weir-Mccall, Suhny, Abbara, Taimur, Abbasi, Brian, Abbott, Shady, Abohashem, Sandra, Abramson, Tarek, Al-Abboud, Mouaz, Al-Mallah, Omar, Almousalli, Karthikeyan, Ananthasubramaniam, Mohan Ashok Kumar, Jeffrey, Askew, Lea, Attanasio, Mallory, Balmer-Swain, Richard, R Bayer, Adam, Bernheim, Sabha, Bhatti, Erik, Bieging, Ron, Blankstein, Stephen, Bloom, Sean, Blue, David, Bluemke, Andressa, Borges, Kelley, Branch, Paco, Bravo, Jessica, Brothers, Matthew, Budoff, Renée, Bullock-Palmer, Angela, Burandt, Floyd, W Burke, Kelvin, Bush, Candace, Candela, Elizabeth, Capasso, Joao, Cavalcante, Donald, Chang, Saurav, Chatterjee, Yiannis, Chatzizisis, Michael, Cheezum, Tiffany, Chen, Jennifer, Chen, Marcus, Chen, Andrew, Choi, James, Clarcq, Ayreen, Cordero, Matthew, Crim, Sorin, Danciu, Bruce, Decter, Nimish, Dhruva, Neil, Doherty, Rami, Doukky, Anjori, Dunbar, William, Duvall, Rachael, Edwards, Kerry, Esquitin, Husam, Farah, Emilio, Fentanes, Maros, Ferencik, Daniel, Fisher, Daniel, Fitzpatrick, Cameron, Foster, Tony, Fuisz, Michael, Gannon, Lori, Gastner, Myron, Gerson, Brian, Ghoshhajra, Alan, Goldberg, Brian, Goldner, Jorge, Gonzalez, Rosco, Gore, Sandra, Gracia-López, Fadi, Hage, Agha, Haider, Sofia, Haider, Yasmin, Hamirani, Karen, Hassen, Mallory, Hatfield, Carolyn, Hawkins, Katie, Hawthorne, Nicholas, Heath, Robert, Hendel, Phillip, Hernandez, Gregory, Hill, Stephen, Horgan, Jeff, Huffman, Lynne, Hurwitz, Ami, Iskandrian, Rajesh, Janardhanan, Christine, Jellis, Scott, Jerome, Dinesh, Kalra, Summanther, Kaviratne, Fernando, Kay, Faith, Kelly, Omar, Khalique, Mona, Kinkhabwala, George Kinzfogl Iii, Jacqueline, Kircher, Rachael, Kirkbride, Michael, Kontos, Anupama, Kottam, Joseph, Krepp, Jay, Layer, Steven, H Lee, Jeffrey, Leppo, John, Lesser, Steve, Leung, Howard, Lewin, Diana, Litmanovich, Yiyan, Liu, Kathleen, Magurany, Jeremy, Markowitz, Amanda, Marn, Stephen, E Matis, Michael, Mckenna, Tony, Mcrae, Fernando, Mendoza, Michael, Merhige, David, Min, Chanan, Moffitt, Karen, Moncher, Warren, Moore, Shamil, Morayati, Michael, Morris, Mahmud, Mossa-Basha, Zorana, Mrsic, Venkatesh, Murthy, Prashant, Nagpal, Kyle, Napier, Katarina, Nelson, Prabhjot, Nijjar, Medhat, Osman, Edward, Passen, Amit, Patel, Pravin, Patil, Ryan, Paul, Lawrence, Phillips, Venkateshwar, Polsani, Rajaram, Poludasu, Brian, Pomerantz, Thomas, Porter, Ryan, Prentice, Amit, Pursnani, Mark, Rabbat, Suresh, Ramamurti, Florence, Rich, Hiram Rivera Luna, Austin, Robinson, Kim, Robles, Cesar, Rodríguez, Mark, Rorie, John, Rumberger, Raymond, Russell, Philip, Sabra, Diego, Sadler, Mary, Schemmer, U Joseph Schoepf, Samir, Shah, Nishant, Shah, Sujata, Shanbhag, Gaurav, Sharma, Steven, Shayani, Jamshid, Shirani, Pushpa, Shivaram, Steven, Sigman, Mitch, Simon, Ahmad, Slim, David, Smith, Alexandra, Smith, Prem, Soman, Aditya, Sood, Monvadi Barbara Srichai-Parsia, James, Streeter, Albert, T Ahmed Tawakol, Dustin, Thomas, Randall, Thompson, Tara, Torbet, Desiree, Trinidad, Shawn, Ullery, Samuel, Unzek, Seth, Uretsky, Srikanth, Vallurupalli, Vikas, Verma, Alfonso, Waller, Ellen, Wang, Parker, Ward, Gaby, Weissman, George, Wesbey, Kelly, White, David, Winchester, David, Wolinsky, Sandra, Yost, Michael, Zgaljardic, Omar, Alonso, Mario, Beretta, Rodolfo, Ferrando, Miguel, Kapitan, Fernando, Mut, Omoa, Djuraev, Gulnora, Rozikhodjaeva, Ha Le Ngoc, Son Hong Mai, Xuan Canh Nguyen, Einstein, A. J., Shaw, L. J., Hirschfeld, C., Williams, M. C., Villines, T. C., Better, N., Vitola, J. V., Cerci, R., Dorbala, S., Raggi, P., Choi, A. D., Lu, B., Sinitsyn, V., Sergienko, V., Kudo, T., Norgaard, B. L., Maurovich-Horvat, P., Campisi, R., Milan, E., Louw, L., Allam, A. H., Bhatia, M., Malkovskiy, E., Goebel, B., Cohen, Y., Randazzo, M., Narula, J., Pascual, T. N. B., Pynda, Y., Dondi, M., Paez, D., Cuocolo, A., Einstein, A, Shaw, L, Hirschfeld, C, Williams, M, Villines, T, Better, N, Vitola, J, Cerci, R, Dorbala, S, Raggi, P, Choi, A, Lu, B, Sinitsyn, V, Sergienko, V, Kudo, T, Norgaard, B, Maurovich-Horvat, P, Campisi, R, Milan, E, Louw, L, Allam, A, Bhatia, M, Malkovskiy, E, Goebel, B, Cohen, Y, Randazzo, M, Narula, J, Pascual, T, Pynda, Y, Dondi, M, Paez, D, Pacella, S, and Erba, P

Subjects
INCAPS COVID Investigators Group, Heart disease, Vascular damage Radboud Institute for Health Sciences [Radboudumc 16], Diagnostic Techniques, Cardiovascular, coronavirus, global health, IAEA, Disease, Telehealth, Cardiorespiratory Medicine and Haematology, 030204 cardiovascular system & hematology, Cardiovascular, 0302 clinical medicine, cardiovascular disease, cardiac testing, COVID-19, diagnostic techniques, cardiovascular, health care surveys, heart diseases, humans, international agencies, Pandemic, Global health, 030212 general & internal medicine, COVID-19 Heart Disease, Cause of death, STATEMENT, Heart Disease, International Agencie, Public Health and Health Services, Biomedical Imaging, Cardiology and Cardiovascular Medicine, Human, medicine.medical_specialty, Heart Diseases, 03 medical and health sciences, Clinical Research, medicine, Humans, Personal protective equipment, Heart Disease - Coronary Heart Disease, business.industry, International Agencies, medicine.disease, the, coronaviru, Diagnostic Techniques, Good Health and Well Being, Clinical research, Cardiovascular System & Hematology, Health Care Survey, Health Care Surveys, Emergency medicine, Global Health, business
Abstract

BACKGROUND The coronavirus disease 2019 (COVID-19) pandemic has adversely affected diagnosis and treatment of noncommunicable diseases. Its effects on delivery of diagnostic care for cardiovascular disease, which remains the leading cause of death worldwide, have not been quantified. OBJECTIVES The study sought to assess COVID-19`s impact on global cardiovascular diagnostic procedural volumes and safety practices. METHODS The International Atomic Energy Agency conducted a worldwide survey assessing alterations in cardiovascular procedure volumes and safety practices resulting from COVID-19. Noninvasive and invasive cardiac testing volumes were obtained from participating sites for March and April 2020 and compared with those from March 2019. Availability of personal protective equipment and pandemic-related testing practice changes were ascertained. RESULTS Surveys were submitted from 909 inpatient and outpatient centers performing cardiac diagnostic procedures, in 108 countries. Procedure volumes decreased 42% from March 2019 to March 2020, and 64% from March 2019 to April 2020. Transthoradc echocardiography decreased by 59%, transesophageat echocardiography 76%, and stress tests 78%, which varied between stress modalities. Coronary angiography (invasive or computed tomography) decreased 55% (p < 0.001 for each procedure). hi multivariable regression, significantly greater reduction in procedures occurred for centers in countries with lower gross domestic product. Location in a low-income and lower-middle-income country was associated with an additional 22% reduction in cardiac procedures and less availability of personal protective equipment and teteheatth. CONCLUSIONS COVID-19 was associated with a significant and abrupt reduction in cardiovascular diagnostic testing across the globe, especially affecting the world's economically challenged. Further study of cardiovascular outcomes and COVID-19-related changes in care delivery is warranted. (C) 2021 The Authors. Published by Elsevier on behalf of the American College of Cardiology Foundation.

Published
2021

22. Special Report of the RSNA COVID-19 Task Force: The Short- and Long-term Financial Impact of the COVID-19 Pandemic on Private Radiology Practices

Author

Richard E. Sharpe, Brian S. Kuszyk, Mahmud Mossa-Basha, Javad R. Azadi, Christopher G. Filippi, Maryellen L. Giger, Jeffrey S. Klein, Jane Ko, Christine O. Menias, Bien Soo Tan, Erik M. Velez, and Carolyn C. Meltzer

Subjects
medicine.medical_specialty, Time Factors, media_common.quotation_subject, Advisory Committees, Staffing, Private Practice, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Pandemic, Humans, Medicine, Revenue, Radiology, Nuclear Medicine and imaging, Special Report, Societies, Medical, media_common, Strategic planning, business.industry, Compensation (psychology), COVID-19, Subsidy, United States, Term (time), Radiography, 030220 oncology & carcinogenesis, Service (economics), Radiology, business
Abstract

The coronavirus disease 2019 (COVID-19) pandemic resulted in widespread disruption to the global economy, including demand for imaging services. The resulting reduction in demand for imaging services had an abrupt and substantial impact on private radiology practices, which are heavily dependent on examination volumes for practice revenues. The goal of this article is to describe the specific experiences of radiologists working in various types of private radiology practices during the initial peak of the COVID-19 pandemic. Herein, the authors describe factors determining the impact of the pandemic on private practices, the challenges these practices have faced, the cost levers leaders adjusted, and the government subsidies sought. In addition, the authors describe adjustments practices are making to their mid- and long-term strategic plans to pivot for long-term success while managing the COVID-19 pandemic. Private practices have crafted tiered strategies to respond to the impact of the pandemic by pulling various cost levers to adjust service availability, staffing, compensation, benefits, time off, and expense reductions. In addition, they have sought additional revenues, within the boundaries of their practice, to mitigate ongoing financial losses. The longer-term impact of the pandemic will alter existing practices, making some of them more likely than others to succeed in the years ahead. This report synthesizes the collective experience of private practice radiologists shared with members of the Radiological Society of North America (RSNA) COVID-19 Task Force, including discussions with colleagues and leaders of private practice radiology groups from across the United States.

Published
2021

23. Comparative Study between Nasal Endoscopic Findings and Nose and Paranasal Sinus Computerized Tomography in diagnosis of Nose and Paranasal Sinuses Diseases

Author

Jawad Abdulkadhum Beden Thuhabat, Khalid Dahham Radi Al-Assal, and Ahmed Abass Mossa Al-Khafaji

Subjects
medicine.medical_specialty, business.industry, respiratory system, medicine.anatomical_structure, Paranasal Sinus Diseases, otorhinolaryngologic diseases, medicine, General Earth and Planetary Sciences, Radiology, Tomography, business, Sinus (anatomy), Nose, General Environmental Science
Abstract

Background: Nasal obstruction is common in otorhinolaryngology outpatient visitors. The diagnosis of such compliant is by history, clinical examination and diagnostic procedures. Nasal endoscopy and computerized tomography scan are common diagnostic investigations. Nasal obstruction is either anterior or posterior (nasal septal deviations, hypertrophied turbinate pathological cyst, polyps, mass etc), or postnasal obstruction (hypertrophied turbinate, adenoid hypertrophy, nasopharyngeal cyst or nasopharyngeal tumors). Aim of study: Prospective study to compare endoscopic finding and computerized tomography of nose, paranasal sinuses and postnasal space as diagnostic methods for nasal obstruction and other nose, paranasal sinuses and post nasal space diseases. Subjects and methods: 80 patients with nasal obstruction between the age of 12-60 years old.All patient were examined by nasal endoscopy (rigid or flexible) under local anaesthesia (10 % xylocaine spray and cotton wicks soaked with ephidren 0.5 % and xylocaine 2 % ) and nose, paranasal sinuses and post nasal space C.T. scan,weather without contrast or with it, bone window or soft tissue according to the lesion. Results: Both nasal endoscopy and C.T. scan were an important tools for diagnosis of nasal diseases and complementary to each other. Conclusion: Endoscopic examination of the nose gives a real view of nasal structures, postnasal space, any mass or polyps present.Computerized tomography is an accurate diagnostic method of the Nose, paranasal sinuses and post nasal spaces anatomical variations or pathologies.

Published
2020

24. Prenatal exposure to different diets influences programming of glucose and insulin metabolism in dairy ewes

Author

Anna Nudda, Fabio Correddu, Antonello Cannas, Mondina Francesca Lunesu, A. Marzano, Francesco Fancello, Francesca Mossa, Alberto Stanislao Atzori, and A. Ledda

Subjects
Blood Glucose, Dietary Fiber, medicine.medical_specialty, Offspring, medicine.medical_treatment, Gestational Age, 03 medical and health sciences, Insulin resistance, Pregnancy, Internal medicine, Genetics, Animals, Insulin, Medicine, Weaning, 030304 developmental biology, 0303 health sciences, Fetus, Sheep, business.industry, Domestic sheep reproduction, 0402 animal and dairy science, Starch, 04 agricultural and veterinary sciences, Glucose Tolerance Test, medicine.disease, 040201 dairy & animal science, Diet, Glucose, Endocrinology, Prenatal Exposure Delayed Effects, Gestation, Animal Nutritional Physiological Phenomena, Female, Animal Science and Zoology, business, Homeostasis, Food Science
Abstract

Nutrition in fetal and postnatal life can influence the development of several biological systems, with permanent effects in adult life. The aim of this work was to investigate in dairy sheep whether diets rich in starch or fiber during intrauterine life (75 d before lambing) and postnatal life (from weaning to first pregnancy; growth phase) program glucose and insulin metabolism in the female offspring during their first pregnancy. Starting from intrauterine life, 20 nulliparous Sarda ewes were exposed to 4 dietary regimens (n = 5 per group) based on different dietary carbohydrates during their intrauterine life and their subsequent growth phase: (1) the fiber (FI) diet during both intrauterine and growth life, (2) the starch (ST) diet during both intrauterine and growth life, (3) the FI diet in intrauterine life followed by the ST diet in the growth phase, and (4) the ST diet in intrauterine life followed by the FI diet in the growth phase. After the end of the growth phase, all growing ewes were fed the same diet and naturally mated. When ewes were pregnant, on average at 124 ± 2 d of gestation they were challenged with an intravenous glucose tolerance test, and peripheral concentrations of glucose and insulin were determined. Basal insulin concentrations were higher in ewes exposed to the ST diet (0.97 μg/L) than in ewes exposed to the FI diet (0.52 μg/L) in intrauterine life. After glucose infusion, glucose and insulin concentrations were not affected by intrauterine diet. Insulin resistance, determined by the homeostasis model assessment, was affected by the intrauterine × growth phases interaction. Insulin sensitivity, assessed by the quantitative insulin check index, was lower in ewes exposed to the ST diet than in those exposed to the FI diet in intrauterine life (ST = 0.28; FI = 0.30). Diet in growth life had no effect on glucose and insulin metabolism. In conclusion, starchy diets offered during intrauterine life but not during postnatal life increased basal insulin level and lowered insulin sensitivity during the first pregnancy. Nutritional strategies of metabolic programming should consider that exposure to starchy diets in late fetal life might favor the programming of dietary nutrient partitioning toward organs with high requirements, such as the gravid uterus or the mammary gland.

Published
2020

25. Imbalance of nerve growth factor metabolism in aging women with overactive bladder syndrome

Author

Samer Shamout, Philippe Cammisotto, Lysanne Campeau, and Abubakr Mossa

Subjects
Nephrology, Creatinine, medicine.medical_specialty, business.industry, Urology, Urinary system, 030232 urology & nephrology, Proteolytic enzymes, Renal function, urologic and male genital diseases, medicine.disease, humanities, female genital diseases and pregnancy complications, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Endocrinology, Insulin resistance, Nerve growth factor, chemistry, Overactive bladder, 030220 oncology & carcinogenesis, Internal medicine, medicine, business
Abstract

Given the disputable link between nerve growth factor (NGF) and overactive bladder syndrome (OAB) and the lack of studies on its precursor (proNGF) in OAB, the aim of the study was to identify changes in the urinary levels of NGF and its proteolytic enzymes in aging women with OAB. We examined the urinary proNGF/NGF ratio and its processing enzymes in aging women (50–80 years), comparing 20 controls and 20 subjects with OAB. In contrast to previous reports correlating NGF to OAB symptoms, we found that proNGF/NGF ratio in the OAB group was twice as high compared to controls (p = 0.009) with a lower NGF levels in women with OAB without statistical significance [1.36 (Q1, Q3: 0.668, 2.39) vs. 1.7 (Q1, Q3: 1.27, 3.045) pg/mg creatinine in control group, p = 0.05]. Enzymatic activity of MMP-7, the main enzyme for extracellular proNGF maturation, was significantly increased in the OAB group and correlated positively with scores of OAB symptoms questionnaires. However, this was counteracted by several-folds increase in the MMP-9 enzyme responsible for NGF proteolysis. While these findings highlight the importance of changes in the proteolytic enzymes to maintain proNGF/NGF balance in OAB, analysis of covariates showed that these changes were attributed to age, insulin resistance and renal function. NGF proteolysis imbalance can be clinically meaningful in OAB related to aging, rendering it as a potential therapeutic target. However, other age-related factors such as insulin resistance and renal function may contribute to the relationship between NGF and aging-related OAB phenotype.

Published
2020

26. Assessment of Intracranial Atherosclerotic Plaques Using <scp>3D</scp> Black‐Blood <scp>MRI</scp> : Comparison With <scp>3D</scp> Time‐of‐Flight <scp>MRA</scp> and <scp>DSA</scp>

Author

Laligam N. Sekhar, Chunhong Hu, Bing Tian, Zhang Shi, Wenjia Peng, Chengcheng Zhu, Xuefeng Zhang, Mahmud Mossa-Basha, Qi Liu, Xiao Wu, Ajay Malhotra, Xia Tian, and Jianping Lu

Subjects
Male, Intraclass correlation, Population, Sensitivity and Specificity, Magnetic resonance angiography, 030218 nuclear medicine & medical imaging, Cohort Studies, 03 medical and health sciences, Imaging, Three-Dimensional, 0302 clinical medicine, Humans, Medicine, Radiology, Nuclear Medicine and imaging, Prospective Studies, Stage (cooking), education, Stroke, Aged, education.field_of_study, medicine.diagnostic_test, business.industry, Angiography, Digital Subtraction, Intracranial Artery, Digital subtraction angiography, Middle Aged, Intracranial Arteriosclerosis, medicine.disease, Magnetic Resonance Imaging, Plaque, Atherosclerotic, Black or African American, body regions, Stenosis, business, Nuclear medicine, Magnetic Resonance Angiography
Abstract

Noninvasive assessment of intracranial stenosis is important to manage ischemic stroke patients. However, few previous studies have compared 3D black-blood MRI with 3D time-of-flight (TOF), magnetic resonance angiography (MRA), and digital subtraction angiography (DSA) for intracranial artery plaque assessment.To compare 3D black-blood MRI and 3D TOF-MRA, using DSA as the reference standard for intracranial stenosis and atherosclerotic plaque assessment in patients with posterior circulation stroke or transient ischemic attacks (TIAs).Prospective, cohort study.One hundred and one patients with posterior circulation stroke and/or TIA (age 63 ± 10 years, 84 male) who underwent DSA and MRI within 4 weeks of each other.3D fast-spin-echo MRI for intracranial vessel wall imaging (IVWI) and 3D TOF at 3T.Two radiologists independently measured the degree of stenosis on 3D IVWI and TOF, using DSA as a reference. Plaque enhancement was recorded when the plaque was stenosis-free on DSA.Shapiro-Wilk's test, Student's t-test, Mann-Whitney U-test, Spearman correlation, Bland-Altman analysis, and interclass correlation coefficient (ICC).A total of 238 intracranial plaques (203 posterior, 35 anterior) were included. 3D IVWI showed better agreement with DSA in measuring stenosis than TOF (ICC = 0.89 vs. 0.64). 3D IVWI had higher sensitivity and specificity for detecting stenosis50% and stenosis75% than TOF, using DSA as the standard. TOF significantly overestimated the degree of stenosis compared to DSA (65 ± 19% vs. 51 ± 15%, P 0.001). DSA did not observe 62 nonstenotic plaques (26.1%) that were shown only on 3D IVWI, in which 36 plaques (58.1%) showed contrast enhancement. The interreader agreement for measuring stenosis were excellent, with ICCs0.90 for all three modalities.3D black-blood MRI is accurate and reproducible for quantifying intracranial artery stenosis compared with DSA, and performs better than 3D TOF. As compared to DSA, it detects more nonstenotic plaques. Level of Evidence 1 Technical Efficacy Stage 2 J. MAGN. RESON. IMAGING 2021;53:469-478.

Published
2020

27. Radiology Department Preparedness for COVID-19: Radiology Scientific Expert Review Panel

Author

Daniel Kim, Bien Soo Tan, K. Pallav Kolli, Mahmud Mossa-Basha, Michael J. Tuite, and Carolyn C. Meltzer

Subjects
2019-20 coronavirus outbreak, Radiology Department, Coronavirus disease 2019 (COVID-19), Infectious Disease Transmission, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Library science, Medical and Health Sciences, 030218 nuclear medicine & medical imaging, Patient-to-Professional, Hospital, Betacoronavirus, 03 medical and health sciences, 0302 clinical medicine, X ray computed, Humans, Medicine, Radiology, Nuclear Medicine and imaging, Viral, Tomography, Expert Testimony, Pandemics, Cross Infection, Infection Control, Health Priorities, SARS-CoV-2, business.industry, Infectious disease transmission, COVID-19, Pneumonia, X-Ray Computed, Nuclear Medicine & Medical Imaging, Tomography x ray computed, Radiology Nuclear Medicine and imaging, 030220 oncology & carcinogenesis, Preparedness, Coronavirus Infections, business
Abstract

Author(s): Mossa-Basha, Mahmud; Meltzer, Carolyn C; Kim, Danny C; Tuite, Michael J; Kolli, K Pallav; Tan, Bien Soo

Published
2020

28. On line webinars during time of COVID-19: Does it increase the clinical and surgical skills of egyptian ophthalmologists?

Author

Elshimaa A Mateen Mossa, Tasneem Mohammad Ali, and Alahmady Hammad

Subjects
Medical education, Coronavirus disease 2019 (COVID-19), business.industry, Social distance, Pandemic, Surgical skills, Medicine, Line (text file), business
Abstract

Introduction: Since the appearance of COVID-19 pandemic by the end of 2019 and beginning of 2020 conferences, and events are canceled targeting the social distance to limit the spread and decrease the danger of the newly emerging virus webinars instead spread all over the world as an educational tool with no risk of communications. Purpose: to evaluate the efficacy of webinars in increasing the clinical and surgical skills of Egyptian ophthalmologists during the time of obligatory social distancing of COVID-19. Results: most of ophthalmologists in this survey consider the webinars is a good educational tool and hoping to progress after COVID-19 Pandemic. Most of them followed their topics of interest rather than the speaker or the organizing company and interested till the end due to the more comfortable situations. Conclusion: Webinars are readily available technology inexpensive, beneficial experience added to the clinical and surgical skills of Egyptian ophthalmologists who are hoping to be continued even after the COVID-19 pandemic time.

Published
2020

29. Antagonism of proNGF or its receptor p75NTR reverses remodelling and improves bladder function in a mouse model of diabetic voiding dysfunction

Author

H. Uri Saragovi, Alba Galan, Pablo F. Barcelona, Abubakr Mossa, Monica Velasquez Flores, Philippe Cammisotto, Lysanne Campeau, and Samer Shamout

Subjects
0301 basic medicine, medicine.medical_specialty, Carbachol, medicine.diagnostic_test, business.industry, Endocrinology, Diabetes and Metabolism, Urology, Antagonist, Cystometry, 030209 endocrinology & metabolism, medicine.disease, Streptozotocin, 3. Good health, Muscle hypertrophy, Contractility, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Nerve growth factor, Diabetes mellitus, Internal Medicine, medicine, business, medicine.drug
Abstract

Although 80% of diabetic patients will suffer from voiding difficulties and urinary symptoms, defined as diabetic voiding dysfunction (DVD), therapeutic targets and treatment options are limited. We hypothesise that the blockade of the pro-nerve growth factor (NGF)/p75 neurotrophin receptor (p75NTR) axis by an anti-proNGF monoclonal antibody or by a small molecule p75NTR antagonist (THX-B) can restore bladder remodelling (represented by bladder weight) in an animal model of DVD. Secondary outcomes of the study include improvements in bladder compliance, contractility and morphology, as well as in voiding behaviour, proNGF/NGF balance and TNF-α expression. In a streptozotocin-induced mouse model of diabetes, diabetic mice received either a blocking anti-proNGF monoclonal antibody or a p75NTR antagonist small molecule as weekly systemic injections for 4 weeks. Animals were tested at baseline (at 2 weeks of diabetes induction), and after 2 and 4 weeks of treatment. Outcomes measured were voiding function with voiding spot assays and cystometry. Bladders were assessed by histological, contractility and protein expression assays. Diabetic mice showed features of DVD as early as 2 weeks after diabetes diagnosis (baseline) presented by hypertrophy, reduced contractility and abnormal cystometric parameters. Following treatment initiation, a twofold increase (p

Published
2020

30. What ophthalmologists need to know about pandemic of Corona Virus 19

Author

Elshimaa A Mateen Mossa and Alahmady Hammad Alsmman

Subjects
genetic structures, medicine.diagnostic_test, Transmission (medicine), business.industry, Risk of infection, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Physical examination, medicine.disease, medicine.disease_cause, eye diseases, Need to know, Pandemic, medicine, Outpatient clinic, Medical emergency, business, Coronavirus
Abstract

Introduction: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or novel coronavirus 2019 (Covid19) is an emerging life-threatening catastrophe worldwide with no country immune from this problem. Ophthalmologists are in the first line facing this pandemic due to their intimate contact during clinical examination and surgery. Objective: Ophthalmologists should have base line of knowledge about Covid 19 and sources of infection and methods of transmission. Ophthalmologists have two lines in their practical life outpatient clinic line and surgical line. In this article we tried to help ophthalmologists all over the world to know basics about Covid 19 pandemic and how to deal to decrease risk of infection either in examination in out patient clinic and in operative rooms.

Published
2020

31. The Dancing Cord: Inherent Spinal Cord Motion and Its Effect on Cord Dose in Spine Stereotactic Body Radiation Therapy

Author

Christoph P. Hofstetter, Matthew J. Nyflot, Murat Alp Oztek, Nina A. Mayr, Wei Wu, Robert D. Stewart, Stephen R. Bowen, William T.C. Yuh, Daniel S. Hippe, Mahmud Mossa-Basha, Rajiv Saigal, P. Sponseller, and Simon S. Lo

Subjects
Physical Injury - Accidents and Adverse Effects, Cord, Patient positioning, Stereotactic body radiation therapy, AcademicSubjects/MED00930, medicine.medical_treatment, Radiotherapy Planning, Clinical Sciences, Stereotactic radiation therapy, Neurodegenerative, Ablative radiotherapy, Radiosurgery, Spinal neoplasms, Motion, Computer-Assisted, Organ Motion, Clinical Research, Humans, Spinal cord physiology, Medicine, Spinal Cord Injury, Organ motion, Traumatic Head and Spine Injury, Cancer, Spinal cord, Neurology & Neurosurgery, Spinal Neoplasms, medicine.diagnostic_test, business.industry, Radiotherapy Planning, Computer-Assisted, Neuros/13, Neurosciences, Magnetic resonance imaging, Magnetic Resonance Imaging, Spine, Research—Human—Clinical Studies, medicine.anatomical_structure, Organ at risk, Biomedical Imaging, Surgery, Neurology (clinical), Secondary spine metastasis, business, Nuclear medicine, Stereotactic body radiotherapy, MR imaging
Abstract

BackgroundSpinal cord dose limits are critically important for the safe practice of spine stereotactic body radiotherapy (SBRT). However, the effect of inherent spinal cord motion on cord dose in SBRT is unknown.ObjectiveTo assess the effects of cord motion on spinal cord dose in SBRT.MethodsDynamic balanced fast field echo (BFFE) magnetic resonance imaging (MRI) was obtained in 21 spine metastasis patients treated with SBRT. Planning computed tomography (CT), conventional static T2-weighted MRI, BFFE MRI, and dose planning data were coregistered. Spinal cord from the dynamic BFFE images (corddyn) was compared with the T2-weighted MRI (cordstat) to analyze motion of corddyn beyond the cordstat (Dice coefficient, Jaccard index), and beyond cordstat with added planning organ at risk volume (PRV) margins. Cord dose was compared between cordstat, and corddyn (Wilcoxon signed-rank test).ResultsDice coefficient (0.70-0.95, median 0.87) and Jaccard index (0.54-0.90, median 0.77) demonstrated motion of corddyn beyond cordstat. In 62% of the patients (13/21), the dose to corddyn exceeded that of cordstat by 0.6% to 13.8% (median 4.3%). The corddyn spatially excursed outside the 1-mm PRV margin of cordstat in 9 patients (43%); among these dose to corddyn exceeded dose to cordstat>+1-mm PRV margin in 78% of the patients (7/9). Corddyn did not excurse outside the 1.5-mm or 2-mm PRV cord cordstat margin.ConclusionSpinal cord motion may contribute to increases in radiation dose to the cord from SBRT for spine metastasis. A PRV margin of at least 1.5 to 2mm surrounding the cord should be strongly considered to account for inherent spinal cord motion.

Published
2020

32. Evaluation of Outcomes in Patients Receiving Amantadine to Improve Alertness After Traumatic Brain Injury

Author

Suzan Elqess Mossa, Candice Wilson, Ifeanyi Onor, Rim M. Hadgu, Charles Jastram, Amne Borghol, Christopher Gillard, and Megan McKay

Subjects
Pharmacology, Occupational therapy, medicine.medical_specialty, Traumatic brain injury, business.industry, Glasgow Coma Scale, Amantadine, Original Articles, Pharmacy, medicine.disease, Confidence interval, 03 medical and health sciences, Alertness, 0302 clinical medicine, Anesthesia, medicine, Clinical endpoint, Pharmacology (medical), sense organs, 030212 general & internal medicine, business, 030217 neurology & neurosurgery, Cohort study, medicine.drug
Abstract

Background: Amantadine has been used off-label to improve alertness after traumatic brain injury (TBI). The goal of this study is to assess the mean change at 72 hours and in course of therapy (COT) Glasgow Coma Scale (GCS) score after amantadine initiation and to correlate the change in GCS score with participation in physical therapy (PT) and occupational therapy (OT) among patients with TBI receiving amantadine during the first hospitalization. Methods: This single-center, retrospective, cohort study included patients ≥18 years old hospitalized for a TBI from August 2012 to February 2018 and received ≥1 dose of amantadine to increase alertness. The primary endpoint is the mean change in 72-hour GCS score after amantadine initiation. The secondary endpoint is the mean change in COT GCS score after amantadine initiation and the correlation between the change in GCS score and percent PT and OT participation at 72 hours and during the COT. Results: Seventy-nine patients were included. The mean age of patients was 41 years, and 79.8% of the patients were men. The mean change in 72-hour GCS score was +0.75 (95% confidence interval [CI] = 0.09-1.42, P = .027), and the mean change in COT GCS score was +2.29 (95% CI = 1.68-2.90, P < .001). There was no significant correlation between the increase in GCS score and percent PT/OT session participation at 72 hours and during the COT, r = −0.15 ( P = .24) and r = −0.02 ( P = .74), respectively. The percent PT/OT session participation at 72-hour post-amantadine initiation was 61.3% compared with 65.9% during the COT. Conclusion: There were small but statistically significant increases in the mean change at 72 hours and in COT GCS score; however, they were not correlated with percent PT/OT participation. Other studies are needed to determine the appropriate time and GCS score to initiate amantadine along with the optimal dose in the inpatient setting.

Published
2020

33. The ability of magnetic resonance black blood vessel wall imaging to evaluate blunt cerebrovascular injury following acute trauma

Author

Ryan P. Morton, Jason Barber, Cory M. Kelly, Peter Fata, Dean Shibata, Nancy R. Temkin, Robert H. Bonow, Mahmud Mossa-Basha, Michael R. Levitt, Justin E Vranic, and Thien J. Huynh

Subjects
Adult, Male, medicine.medical_specialty, Cervical Artery, Black blood, 030218 nuclear medicine & medical imaging, Neck Injuries, 03 medical and health sciences, 0302 clinical medicine, Blunt, medicine, Craniocerebral Trauma, Humans, Radiology, Nuclear Medicine and imaging, Prospective Studies, Significant risk, Radiological and Ultrasound Technology, medicine.diagnostic_test, business.industry, Magnetic resonance imaging, Stroke, Computed tomographic angiography, medicine.anatomical_structure, Female, Neurology (clinical), Radiology, Acute trauma, business, Magnetic Resonance Angiography, 030217 neurology & neurosurgery, Artery
Abstract

Background and purpose Blunt cerebrovascular injury (BCVI) is associated with a significant risk of ischemic stroke when left untreated. Cross-sectional imaging is vital to early BCVI diagnosis and treatment; however, conventional luminal vessel imaging is limited in its ability to evaluate for vessel wall pathology. The purpose of this study is to evaluate the ability of vessel wall magnetic resonance imaging (VWI) to detect and evaluate BCVI in acutely injured trauma patients relative to neck computed tomographic angiography (CTA). Materials and methods Trauma patients with suspected BCVI on initial neck CTA were prospectively recruited for VWI evaluation. Two neuroradiologists blinded to patient clinical history and CTA findings evaluated each artery independently on VWI and noted the presence and grade of BCVI. These results were subsequently compared to neck CTA findings relative to expert clinical consensus review. Interrater reliability of VWI for detecting BCVI was evaluated using a weighted Cohen κ-statistic. Results Ten trauma patients (40 cervical arteries) were prospectively evaluated using both CTA and VWI. Out of 18 vascular lesions identified as suspicious for BCVI on CTA, six lesions were determined to represent true BCVI by expert consensus review. There was almost perfect agreement between VWI and expert consensus regarding the presence and grade of BCVI (κ = 0.82). This agreement increased when considering only low grade BCVI. There was only fair agreement between CTA and expert clinical consensus (κ = 0.36). This agreement decreased when considering only low grade BCVI. Conclusions VWI can potentially accurately identify and evaluate BCVI in acutely injured trauma patients with excellent inter-rater reliability.

Published
2020

35. Dental CAD/CAM: a brief review

Author

Fai Mohammad Al Mutairi, Hossam M Mossa, Ahmed Dakhilallah Alharbi, Ahmed khulaif AlRashdi, Layla Yahia Zaylaee, and Aeshah Hamad Aldubaikhi

Subjects
medicine.medical_specialty, business.industry, Medicine, Medical physics, CAD, business
Published
2020

36. A Novel Hybrid Ant Colony-Particle Swarm Optimization Techniques Based Tuning STATCOM for Grid Code Compliance

Author

Ton Duc Do, Ahmed A. Zaki Diab, Mahmoud A. Mossa, and Omar Makram Kamel

Subjects
General Computer Science, Computer science, 020209 energy, PI, Context (language use), 02 engineering and technology, Electric power system, Control theory, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, Low voltage ride through, ACO, Wind power, business.industry, 020208 electrical & electronic engineering, PSO, General Engineering, Particle swarm optimization, Grid, STATCOM, Renewable energy, Fuzzy controller, HPA, Grid code, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, lcsh:TK1-9971
Abstract

Integrating wind power plants (WPPs) into power systems are increasing dramatically now a day. However, the dynamic performance of power systems will be affected by the large penetration level of such renewable sources of energy. From this context power system operators and transmission system operators have put regulation rules to keep pushing wind power plants to safeguard limits that keep power system more stable and reliable. One of these rules is providing a low voltage ride through (LVRT) for wind farms without disconnecting it from the power system. The current paper implements the STATCOM as a LVRT for a 9 MW wind farm connected to the grid through transmission system of 120 kV. For enhancing the dynamic performance of STATCOM, two types of optimization methodologies: ant colony (ACO) and particle swarm optimization (PSO), are proposed to fine tune the coefficients of PI controllers to optimally manage the STATCOM dynamics.

Published
2020

39. Urinary metabolomics predict the severity of overactive bladder syndrome in an aging female population

Author

Philippe Cammisotto, Lysanne Campeau, Samer Shamout, and Abubakr Mossa

Subjects
Aging, medicine.medical_specialty, Urology, Urinary system, 030232 urology & nephrology, Urination, Urine, urologic and male genital diseases, Gastroenterology, 03 medical and health sciences, 0302 clinical medicine, Lower urinary tract symptoms, Internal medicine, Metabolome, Humans, Metabolomics, Medicine, 030219 obstetrics & reproductive medicine, Urinary Bladder, Overactive, business.industry, Obstetrics and Gynecology, medicine.disease, female genital diseases and pregnancy complications, ROC Curve, Overactive bladder, Biomarker (medicine), Female, Ketosis, Metabolic syndrome, business
Abstract

To identify urinary metabolites that can facilitate the diagnosis and the characterization of the underlying pathophysiology of the association between the overactive bladder syndrome (OAB) and metabolic syndrome. We used gas chromatography-mass spectrometry to compare the urinary metabolome of 20 females of 50–80 years of age with OAB to that of 20 controls of the same age group. We performed urinary metabolomic analysis and obtained serum markers of metabolic syndrome for each subject. Participants completed a clinical evaluation and validated self-reported questionnaires of lower urinary tract symptoms as well as a one-day voiding diary. In the OAB subjects, we identified increased urinary levels of markers of mitochondrial dysfunction (itaconate, malate and fumarate), oxidative stress (L-pyroglutamate and α-hydroxyglutarate) and ketosis (α-hydroxybutyrate and α-hydroxyisobutyrate). The increased levels of these markers correlated significantly with the OAB symptoms score on questionnaires. We found, using a multiple linear regression model, that age, blood glucose and urine metabolites (malate, fumarate and α-hydroxyisobutyrate) were significant predictive factors of OAB severity. Fumarate had high sensitivity as a biomarker of OAB due to metabolic syndrome, based on a statistically significant receiver-operating characteristic (ROC) curve, indicating its potential as a diagnostic tool. Altogether, these findings establish that urinary metabolites of mitochondrial dysfunction, ketosis and oxidative stress can be potential biomarkers of OAB severity and diagnosis.

Published
2019

40. Effect of Nursing Guideline Regard Passive Smoking Hazards on Pregnancy Outcome

Author

Fatma Omar Hussein, Sahar Mossa Soliman, and Nadia Mohamed Fahmy

Subjects
Research design, Pregnancy, Passive smoking, business.industry, medicine.medical_treatment, Guideline, medicine.disease_cause, medicine.disease, Test (assessment), Blood pressure, Nursing, Medicine, Caesarean section, Apgar score, business
Abstract

Background: Passive smoking is unintentional breathing in of smoke that gets permeated into the environment due to smoking by an “active” smoker. The study aim: was to evaluate the effect of nursing guideline of reducing passive smoking hazards on pregnancy outcome. Research design: A quasi-experimental study sample: a purposive sample include 214 pregnant women with passive smoking exposure from Ain Shams university maternity hospital. The total No. of the sample divided into two groups (control group and study group). Tools:five tools were used for data collection; structured interviewing questionnaire sheet, written exam tool (Pre/post/follow up test), attitude assessment tool, maternal and fetal assessment sheet & maternal and neonatal observation sheet, plus educational supportive material about effect of passive smoking on pregnant women and prevention. The results revealed that, there were more than two-thirdof pregnant mothers among control group suffered from abnormal vital signs(temperature, pulse rate, respiratory rate, and blood pressure) during pregnancy & 2 hours immediately after labor & there were more than two-third of mothers among study group delivered vaginally and one-tenth only of them delivered by caesarean section while two-third of mothers among control group delivered vaginally and one-third of them delivered by caesarean section also the majority of mother in study group had newborn with good health conditions and good APGAR score in 1&5 minutes after labor compared with more than one-half of mothers in control group had newborn with abnormal fetal heart rate ,weight and APGAR score at first & fifth minutes after birth. conclusion revealed that, more than two third of studied sample “both group” had unsatisfactory knowledge and negative attitude about passive smoking hazards on pregnancy at 1 st trimaster while more than three quarter of study group who received specific nursing guideline were /satisfactory knowledge & positive attitude about passive smoking hazards at 2 nd and 3 rd trimaster of pregnancy. The study recommended that the nursing guide line intervention for pregnant women in first trimaster through session/ booklet or brochures and follow up tests were improved the women knowledge &attitude for reducing passive smoking hazards on pregnancy outcome.

Published
2019

41. COMPASS criteria applied to a contemporary cohort of unselected patients with stable coronary artery diseases: Insights from the STARTregistry

Author

De Luca L., Formigli D., Meessen J., Uguccioni M., Cosentino N., Paolillo C., Di Lenarda A., Colivicchi F., Gabrielli D., Gulizia M. M., Scherillo M., Maras P., Ramani F., Falcone C., Passarelli I., Mauri S., Calabro P., Bianchi R., Di Palma G., Mascia F., Vetrano A., Fusco A., Proia E., Aiello A., Tomai F., Licitra R., Petrolini A., Bosco B., Magliari F., Callerame M., Mazzella T., Lettica G. V., Coco G., Incao F., Marinacci L., D'Addario S., Tartaglione S. N., Ubaldi S., Sanchez F. A., Costa P., Manca G., Failla M., Procaccini V., Senni M., Luminita E. M., Bonomo P., Mossa C., Corda S., Colavita A. R., Trevisonno G., Vizzari G., Formaro C., Nalin I. L., De Rosa F. M., Fontana F., Fuscaldo G. F., Passamonti E., Bertella E., Calvaruso E. V., Varani E., Tani F., Cicchitelli G., Paoloni P., Marziali A., Campo G., Tebaldi M., Biscaglia S., Di Biase M., Brunetti N. D., Gallotta A. M., Mattei L., Marini R., Balsemin F., D'Urbano M., Naio R., Vicinelli P., Arena G., Mazzini M., Gigli N., Miserrafiti B., Monopoli A., Mortara A., Delfino P., Chioffi M. M., Marino P., Gravellone M., Barbieri L., Ledda A., Geraci G., Carmina M. G., Raisaro A. E., Di Giacomo C., Somaschini A., Fasano M. L., Sannazzaro M., Arcieri R., Pantaleoni M., Leuzzi C., Gorlato G., Greco G., Chiera A., Ammaturo T. A., Malanchini G., Del Corral M. P., Tedesco L., Pede S., Urso L. G., Piscione F., Galasso G., Provasoli S., Fattore L., Lucca G., Cresti A., Cardillo A., Fera M. S., Vennettilli F., Gaudio C., Paravati V., Caldarola P., Locuratolo N., Verlato R., De Conti F., Turiano G., Preti G., Moretti L., Silenzi S., Colonna G., Picciolo A., Nicosia A., Cascone C., Di Sciascio G., Mangiacapra F., Russo A., Mastroianno S., Esposito G., Cosmi F., D'Orazio S., Costantini C., Lanari A., De Rosa P., Esposito L., Bilato C., Dalla Valle C., Ceresa M., Colombo E., Pennisi V., Casciola G., Driussi M., Bisceglia T., Scalvini S., Rivadossi F., Volpe M., Comito F., Scorzoni D., Grimoldi P., Lagioia R., Santoro D., De Cesare N., Comotti T., Poli A., Martina P., Musolino M. F., Multari E. I., Bilardo G., Scalchi G., Olivieri C., Caranci F., Pavan D., Ganci G., Mariani A., Falchetti E., Lanzillo T., Caccavale A., Bongo A. S., Rizzi A., Favilli R., Maffei S., Mallardo M., Fulgione C., Bordin F., Bonmassari R., Battaia E., Puzzo A., Vianello G., D'Arpino A., Romei M., Pajes G., Petronzelli S., Ghezzi F., Brigido S., Pignatelli L., Brscic E., Sori P., Russo M., Biancolillo E., Ignone G., De Giorgio N. A., Campaniello C., Ponticelli P., Margonato A., Gerosa S., Cutaia A., Casalicchio C., Bartolomucci F., Larosa C., Spadafina T., Putignano A., Se Cristofaro R., Bernardi L., Sommariva L., Celestini A., Bertucci C. M., Marchetti M., Franceschini Grisolia E., Ammendolea C., Carini M., Scipione P., Politano M., Rubino G., Reina C., Peccerillo N., Paloscia L., D'Alleva A., Petacchi R., Pignalosa M., Lucchetti D., Di Palma F., La Mastra R. A., Amico A. F., De Filippis M., Fontanella B., Zanini G., Casolo G., Del Meglio J., Parato V. M., Genovesi E., D'Alimonte A., Miglioranza A., Alessandri N., Moscariello F., Mauro C., Sasso A., Caso P., Petrillo C., Napoletano C., Paparoni S. R., Bernardo V., Serdoz R., Rotunno R., Oppo I., Aloisio A., Aurelio A., Licciardello G., Cassaniti L., Francese G. M., Marcassa C., Temporelli P. L., Villani R., Zorzoli F., Mileto F., De Vecchis M., Scolozzi D., Lupi G., Caruso D., Rebulla E., La Fata B., Anselmi M., Girardi P., Borruso E., Ferrantelli G., Sassone B., Bressan S., Capriolo M., Pelissero E., Piancastelli M., Gobbi M., Cocco F., Bruno M. G., Berti S., Lo Surdo G., Tanzi P., De Rosa R., Vilei E., De Iaco M. R., Grassi G., Zanella C., Marullo L., Alfano G., Pelaggi P., Talarico R., Tuccillo B., Irace L., Proietti F., Di Croce G., Di Lorenzo L., Zarrilli A., Bongini M., Ranise A., Aprile A., Fornengo C., Capogrosso V., Tranghese A., Golia B., Marziano A., Roncon L., Picariello C., Bagni E., Leci E., Gregorio G., Gatto F., Piemonte F., Gervasio F., Navazio A., Guerri E., Belmonte E., Marino F., Di Belardino N., Di Nuzzo M. R., Epifani M., Comolatti G., Conconi B., Benea D., Casu G., Merella P., Ammirati M. A., Corrado V. M., Spagnolo D., Caico S. I., Bonizzato S., Margheri M., Corrado L., Antonicelli R., Ferrigno C., Merlino A., Nassiacos D., Antonelli A., Marchese A., Villella A., Bechi S., Lo Bianco F., Bedogni F., Negro L., Donato L., Statile D., Cassin M., Fedele F., Granatelli A., Calcagno S., Politi A., Pani A., De Luca, L, Formigli, D, Meessen, J, Uguccioni, M, Cosentino, N, Paolillo, C, Di Lenarda, A, Colivicchi, F, Gabrielli, D, Gulizia, M, Scherillo, M, Maras, P, Ramani, F, Falcone, C, Passarelli, I, Mauri, S, Calabro, P, Bianchi, R, Di Palma, G, Mascia, F, Vetrano, A, Fusco, A, Proia, E, Aiello, A, Tomai, F, Licitra, R, Petrolini, A, Bosco, B, Magliari, F, Callerame, M, Mazzella, T, Lettica, G, Coco, G, Incao, F, Marinacci, L, D'Addario, S, Tartaglione, S, Ubaldi, S, Sanchez, F, Costa, P, Manca, G, Failla, M, Procaccini, V, Senni, M, Luminita, E, Bonomo, P, Mossa, C, Corda, S, Colavita, A, Trevisonno, G, Vizzari, G, Formaro, C, Nalin, I, De Rosa, F, Fontana, F, Fuscaldo, G, Passamonti, E, Bertella, E, Calvaruso, E, Varani, E, Tani, F, Cicchitelli, G, Paoloni, P, Marziali, A, Campo, G, Tebaldi, M, Biscaglia, S, Di Biase, M, Brunetti, N, Gallotta, A, Mattei, L, Marini, R, Balsemin, F, D'Urbano, M, Naio, R, Vicinelli, P, Arena, G, Mazzini, M, Gigli, N, Miserrafiti, B, Monopoli, A, Mortara, A, Delfino, P, Chioffi, M, Marino, P, Gravellone, M, Barbieri, L, Ledda, A, Geraci, G, Carmina, M, Raisaro, A, Di Giacomo, C, Somaschini, A, Fasano, M, Sannazzaro, M, Arcieri, R, Pantaleoni, M, Leuzzi, C, Gorlato, G, Greco, G, Chiera, A, Ammaturo, T, Malanchini, G, Del Corral, M, Tedesco, L, Pede, S, Urso, L, Piscione, F, Galasso, G, Provasoli, S, Fattore, L, Lucca, G, Cresti, A, Cardillo, A, Fera, M, Vennettilli, F, Gaudio, C, Paravati, V, Caldarola, P, Locuratolo, N, Verlato, R, De Conti, F, Turiano, G, Preti, G, Moretti, L, Silenzi, S, Colonna, G, Picciolo, A, Nicosia, A, Cascone, C, Di Sciascio, G, Mangiacapra, F, Russo, A, Mastroianno, S, Esposito, G, Cosmi, F, D'Orazio, S, Costantini, C, Lanari, A, De Rosa, P, Esposito, L, Bilato, C, Dalla Valle, C, Ceresa, M, Colombo, E, Pennisi, V, Casciola, G, Driussi, M, Bisceglia, T, Scalvini, S, Rivadossi, F, Volpe, M, Comito, F, Scorzoni, D, Grimoldi, P, Lagioia, R, Santoro, D, De Cesare, N, Comotti, T, Poli, A, Martina, P, Musolino, M, Multari, E, Bilardo, G, Scalchi, G, Olivieri, C, Caranci, F, Pavan, D, Ganci, G, Mariani, A, Falchetti, E, Lanzillo, T, Caccavale, A, Bongo, A, Rizzi, A, Favilli, R, Maffei, S, Mallardo, M, Fulgione, C, Bordin, F, Bonmassari, R, Battaia, E, Puzzo, A, Vianello, G, D'Arpino, A, Romei, M, Pajes, G, Petronzelli, S, Ghezzi, F, Brigido, S, Pignatelli, L, Brscic, E, Sori, P, Russo, M, Biancolillo, E, Ignone, G, De Giorgio, N, Campaniello, C, Ponticelli, P, Margonato, A, Gerosa, S, Cutaia, A, Casalicchio, C, Bartolomucci, F, Larosa, C, Spadafina, T, Putignano, A, Se Cristofaro, R, Bernardi, L, Sommariva, L, Celestini, A, Bertucci, C, Marchetti, M, Franceschini Grisolia, E, Ammendolea, C, Carini, M, Scipione, P, Politano, M, Rubino, G, Reina, C, Peccerillo, N, Paloscia, L, D'Alleva, A, Petacchi, R, Pignalosa, M, Lucchetti, D, Di Palma, F, La Mastra, R, Amico, A, De Filippis, M, Fontanella, B, Zanini, G, Casolo, G, Del Meglio, J, Parato, V, Genovesi, E, D'Alimonte, A, Miglioranza, A, Alessandri, N, Moscariello, F, Mauro, C, Sasso, A, Caso, P, Petrillo, C, Napoletano, C, Paparoni, S, Bernardo, V, Serdoz, R, Rotunno, R, Oppo, I, Aloisio, A, Aurelio, A, Licciardello, G, Cassaniti, L, Francese, G, Marcassa, C, Temporelli, P, Villani, R, Zorzoli, F, Mileto, F, De Vecchis, M, Scolozzi, D, Lupi, G, Caruso, D, Rebulla, E, La Fata, B, Anselmi, M, Girardi, P, Borruso, E, Ferrantelli, G, Sassone, B, Bressan, S, Capriolo, M, Pelissero, E, Piancastelli, M, Gobbi, M, Cocco, F, Bruno, M, Berti, S, Lo Surdo, G, Tanzi, P, De Rosa, R, Vilei, E, De Iaco, M, Grassi, G, Zanella, C, Marullo, L, Alfano, G, Pelaggi, P, Talarico, R, Tuccillo, B, Irace, L, Proietti, F, Di Croce, G, Di Lorenzo, L, Zarrilli, A, Bongini, M, Ranise, A, Aprile, A, Fornengo, C, Capogrosso, V, Tranghese, A, Golia, B, Marziano, A, Roncon, L, Picariello, C, Bagni, E, Leci, E, Gregorio, G, Gatto, F, Piemonte, F, Gervasio, F, Navazio, A, Guerri, E, Belmonte, E, Marino, F, Di Belardino, N, Di Nuzzo, M, Epifani, M, Comolatti, G, Conconi, B, Benea, D, Casu, G, Merella, P, Ammirati, M, Corrado, V, Spagnolo, D, Caico, S, Bonizzato, S, Margheri, M, Corrado, L, Antonicelli, R, Ferrigno, C, Merlino, A, Nassiacos, D, Antonelli, A, Marchese, A, Villella, A, Bechi, S, Lo Bianco, F, Bedogni, F, Negro, L, Donato, L, Statile, D, Cassin, M, Fedele, F, Granatelli, A, Calcagno, S, Politi, A, and Pani, A

Subjects
medicine.medical_specialty, animal structures, Population, Myocardial Infarction, Coronary artery disease, Rivaroxaban, Internal medicine, Epidemiology, medicine, Humans, Registries, Myocardial infarction, education, Stroke, education.field_of_study, Aspirin, business.industry, Health Policy, Incidence (epidemiology), medicine.disease, COMPASS trial, Cohort, Cardiology and Cardiovascular Medicine, business, START registry, Mace
Abstract

Aims Recently, the cardiovascular outcomes for people using anticoagulation strategies (COMPASS) trial demonstrated that dual therapy reduced cardiovascular outcomes compared with aspirin alone in patients with stable atherosclerotic disease. Methods and results We sought to assess the proportion of patients eligible for the COMPASS trial and to compare the epidemiology and outcome of these patients with those without COMPASS inclusion or with any exclusion criteria in a contemporary, nationwide cohort of patients with stable coronary artery disease. Among the 4068 patients with detailed information allowing evaluation of eligibility, 1416 (34.8%) did not fulfil the inclusion criteria (COMPASS-Not-Included), 841 (20.7%) had exclusion criteria (COMPASS-Excluded), and the remaining 1811 (44.5%) were classified as COMPASS-Like. At 1 year, the incidence of major adverse cardiovascular event (MACE), a composite of cardiovascular death, myocardial infarction, and stroke, was 0.9% in the COMPASS-Not-Included and 2.0% in the COMPASS-Like (P = 0.01), and 5.0% in the COMPASS-Excluded group (P Conclusion In a contemporary real-world cohort registry of stable coronary artery disease, most patients resulted as eligible for the COMPASS. These patients presented a considerable annual risk of MACE that consistently increases in the presence of multiple risk factors.

Published
2021

42. Impact of COVID-19 on the imaging diagnosis of cardiac disease in Europe

Author

Williams M. C., Shaw L., Hirschfeld C. B., Maurovich-Horvat P., Norgaard B. L., Pontone G., Jimenez-Heffernan A., Sinitsyn V., Sergienko V., Ansheles A., Bax J. J., Buechel R., Milan E., Slart R. H. J. A., Nicol E., Bucciarelli-Ducci C., Pynda Y., Better N., Cerci R., Dorbala S., Raggi P., Villines T. C., Vitola J., Malkovskiy E., Goebel B., Cohen Y., Randazzo M., Pascual T. N. B., Dondi M., Paez D., Einstein A. J., Nasery M. N., Goda A., Shirka E., Benlabgaa R., Bouyoucef S., Medjahedi A., Nailli Q., Agolti M., Aguero R. N., Del Carmen Alak M., Alberguina L. G., Arronada G., Astesiano A., Norton C. B., Benteo P., Blanco J., Bonelli J. M., Bustos J. J., Cabrejas R., Cachero J., Campisi R., Canderoli A., Carames S., Carrascosa P., Castro R., Cendoya O., Cognigni L. M., Collaud C., Cortes C., Courtis J., Cragnolino D., Daicz M., De La Vega A., De Maria S. T., Del Riego H., Dettori F., Deviggiano A., Dragonetti L., Embon M., Enriquez R. E., Ensinas J., Faccio F., Facello A., Garofalo D., Geronazzo R., Gonza N., Gutierrez L., Guzzo M. A., Hasbani V., Huerin M., Jager V., Lewkowicz J. M., De Munain M. N. A. L., Lotti J. M., Marquez A., Masoli O., Masoli O. H., Mastrovito E., Mayoraz M., Melado G. E., Mele A., Merani M. F., Meretta A. H., Molteni S., Montecinos M., Noguera E., Novoa C., Sueldo C. P., Ascani S. P., Pollono P., Pujol M. P., Radzinschi A., Raimondi G., Redruello M., Rodriguez M., Romero R. L., Acuna A. R., Rovaletti F., Miguel L. S., Solari L., Strada B., Traverso S., Traverzo S. S., Del Huerto Velazquez Espeche M., Weihmuller J. S., Wolcan J., Zeffiro S., Sakanyan M., Beuzeville S., Boktor R., Butler P., Calcott J., Carr L., Chan V., Chao C., Chong W., Dobson M., Downie D., Dwivedi G., Elison B., Engela J., Francis R., Gaikwad A., Basavaraj A. G., Goodwin B., Greenough R., Hamilton-Craig C., Hsieh V., Joshi S., Lederer K., Lee K., Lee J., Magnussen J., Mai N., Mander G., Murton F., Nandurkar D., Neill J., O'Rourke E., O'Sullivan P., Pandos G., Pathmaraj K., Pitman A., Poulter R., Premaratne M., Prior D., Ridley L., Rutherford N., Salehi H., Saunders C., Scarlett L., Seneviratne S., Shetty D., Shrestha G., Shulman J., Solanki V., Stanton T., Stuart M., Stubbs M., Swainson I., Taubman K., Taylor A., Thomas P., Unger S., Upton A., Vamadevan S., Van Gaal W., Verjans J., Voutnis D., Wayne V., Wilson P., Wong D., Wong K., Younger J., Feuchtner G., Mirzaei S., Weiss K., Maroz-Vadalazhskaya N., Gheysens O., Homans F., Moreno-Reyes R., Pasquet A., Roelants V., Van De Heyning C. M., Rios R. A., Soldat-Stankovic V., Stankovic S., Siqueira M. H. A., Almeida A., Togni P. H. A., Andrade J. H., Andrade L., Anselmi C., Araujo R., Azevedo G., Bezerra S., Biancardi R., Grossman G. B., Brandao S., Pianta D. B., Carreira L., Castro B., Chang T., Cunali F., Cury R., Dantas R., De Amorim Fernandes F., De Lorenzo A., De MacEdo Filho R., Erthal F., Fernandes F., Fernandes J., De Souza T. F., Alves W. F., Ghini B., Goncalves L., Gottlieb I., Hadlich M., Kameoka V., Lima R., Lima A., Lopes R. W., E Silva R. M., Magalhaes T., Silva F. M., Mastrocola L. E., Medeiros F., Meneghetti J. C., Naue V., Naves D., Nolasco R., Nomura C., Oliveira J. B., Paixao E., De Carvalho F. P., Pinto I., Possetti P., Quinta M., Ramos R. R. N., Rocha R., Rodrigues A., Rodrigues C., Romantini L., Sanches A., Santana S., Da Silva L. S., Schvartzman P., Matushita C. S., Senra T., Shiozaki A., De Siqueira M. E. M., Siqueira C., Smanio P., Soares C. E., Soares J., Bittencourt M. S., Spiro B., Mesquita C. T., Torreao J., Torres R., Uellendahl M., Monte G. U., Verissimo O., Cabeda E. V., Pedras F. 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J., Kaplan M., Khushica P., Lakhi H., Louw L., Malan N., Milos K., Modiselle M., More S., Naidoo M., Scholtz L., Vangu M., Aguade-Bruix S., Blanco I., Cabrera A., Camarero A., Casans-Tormo I., Cuellar-Calabria H., Flotats A., Canamero M. E. F., Garcia M. E., Leta R., Diaz J. L., Lumbreras L., Marquez-Cabeza J. J., Martin F., De Alegria A. M., Medina F., Canal M. P., Peiro V., Pubul-Nunez V., Madrid J. I. R., Rey C. R., Perez R. R., Ruiz J., Hernandez G. S., Sevilla A., Zeidan N., Nanayakkara D., Udugama C., Simonsson M., Alkadhi H., Buechel R. R., Burger P., Ceriani L., De Boeck B., Grani C., De Saint Lager Lucas A. J., Kamani C. H., Kawel-Boehm N., Manka R., Prior J. O., Rominger A., Vallee J. -P., Khiewvan B., Premprabha T., Thientunyakit T., Sellem A., Kir K. M., Sayman H., Sebikali M. J., Muyinda Z., Kmetyuk Y., Korol P., Mykhalchenko O., Pliatsek V., Satyr M., Albalooshi B., Hassan M. I. A., Anderson J., Bedi P., Biggans T., Bularga A., Bull R., Burgul R., Carpenter J. -P., Coles D., Cusack D., Deshpande A., Dougan J., Fairbairn T., Farrugia A., Gopalan D., Gummow A., Ramkumar P. G., Hamilton M., Harbinson M., Hartley T., Hudson B., Joshi N., Kay M., Kelion A., Khokhar A., Kitt J., Low C., Mak S. M., Marousa N., Martin J., McAlindon E., Menezes L., Morgan-Hughes G., Moss A., Murray A., Patel D., Peebles C., Pugliese F., Rodrigues J. C. L., Rofe C., Sabharwal N., Schofield R., Semple T., Sharma N., Strouhal P., Subedi D., Topping W., Tweed K., Weir-Mccall J., Abbara S., Abbasi T., Abbott B., Abohashem S., Abramson S., Al-Abboud T., Al-Mallah M., Almousalli O., Ananthasubramaniam K., Kumar M. A., Askew J., Attanasio L., Balmer-Swain M., Bayer R. R., Bernheim A., Bhatti S., Bieging E., Blankstein R., Bloom S., Blue S., Bluemke D., Borges A., Branch K., Bravo P., Brothers J., Budoff M., Bullock-Palmer R., Burandt A., Burke F. W., Bush K., Candela C., Capasso E., Cavalcante J., Chang D., Chatterjee S., Chatzizisis Y., Cheezum M., Chen T., Chen J., Chen M., Choi A., Clarcq J., Cordero A., Crim M., Danciu S., Decter B., Dhruva N., Doherty N., Doukky R., Dunbar A., Duvall W., Edwards R., Esquitin K., Farah H., Fentanes E., Ferencik M., Fisher D., Fitzpatrick D., Foster C., Fuisz T., Gannon M., Gastner L., Gerson M., Ghoshhajra B., Goldberg A., Goldner B., Gonzalez J., Gore R., Gracia-Lopez S., Hage F., Haider A., Haider S., Hamirani Y., Hassen K., Hatfield M., Hawkins C., Hawthorne K., Heath N., Hendel R., Hernandez P., Hill G., Horgan S., Huffman J., Hurwitz L., Iskandrian A., Janardhanan R., Jellis C., Jerome S., Kalra D., Kaviratne S., Kay F., Kelly F., Khalique O., Kinkhabwala M., Iii G. K., Kircher J., Kirkbride R., Kontos M., Kottam A., Krepp J., Layer J., Lee S. H., Leppo J., Lesser J., Leung S., Lewin H., Litmanovich D., Liu Y., Lopez-Mattei J., Magurany K., Markowitz J., Marn A., Matis S. E., McKenna M., McRae T., Mendoza F., Merhige M., Min D., Moffitt C., Moncher K., Moore W., Morayati S., Morris M., Mossa-Basha M., Mrsic Z., Murthy V., Nagpal P., Napier K., Narula J., Nelson K., Nijjar P., Osman M., Parwani P., Passen E., Patel A., Patil P., Paul R., Phillips L., Polsani V., Poludasu R., Pomerantz B., Porter T., Prentice R., Pursnani A., Rabbat M., Ramamurti S., Rich F., Luna H. R., Robinson A., Robles K., Rodriguez C., Rorie M., Rumberger J., Russell R., Sabra P., Sadler D., Schemmer M., Schoepf U. J., Shah S., Shah N., Shanbhag S., Sharma G., Shayani S., Shirani J., Shivaram P., Sigman S., Simon M., Slim A., Smith D., Smith A., Soman P., Srichai-Parsia M. B., Streeter J., Albert T., Tawakol A., Thomas D., Thompson R., Torbet T., Trinidad D., Ullery S., Unzek S., Uretsky S., Vallurupalli S., Verma V., Waller A., Wang E., Ward P., Weissman G., Wesbey G., White K., Winchester D., Wolinsky D., Yost S., Zgaljardic M., Alonso O., Beretta M., Ferrando R., Kapitan M., Mut F., Djuraev O., Rozikhodjaeva G., Ngoc H. L., Mai S. H., Nguyen X. C., Williams, M, Shaw, L, Hirschfeld, C, Maurovich-Horvat, P, Norgaard, B, Pontone, G, Jimenez-Heffernan, A, Sinitsyn, V, Sergienko, V, Ansheles, A, Bax, J, Buechel, R, Milan, E, Slart, R, Nicol, E, Bucciarelli-Ducci, C, Pynda, Y, Better, N, Cerci, R, Dorbala, S, Raggi, P, Villines, T, Vitola, J, Malkovskiy, E, Goebel, B, Cohen, Y, Randazzo, M, Pascual, T, Dondi, M, Paez, D, Einstein, A, Nasery, M, Goda, A, Shirka, E, Benlabgaa, R, Bouyoucef, S, Medjahedi, A, Nailli, Q, Agolti, M, Aguero, R, Del Carmen Alak, M, Alberguina, L, Arronada, G, Astesiano, A, Norton, C, Benteo, P, Blanco, J, Bonelli, J, Bustos, J, Cabrejas, R, Cachero, J, Campisi, R, Canderoli, A, Carames, S, Carrascosa, P, Castro, R, Cendoya, O, Cognigni, L, Collaud, C, Cortes, C, Courtis, J, Cragnolino, D, Daicz, M, De La Vega, A, De Maria, S, Del Riego, H, Dettori, F, Deviggiano, A, Dragonetti, L, Embon, M, Enriquez, R, Ensinas, J, Faccio, F, Facello, A, Garofalo, D, Geronazzo, R, Gonza, N, Gutierrez, L, Guzzo, M, Hasbani, V, Huerin, M, Jager, V, Lewkowicz, J, De Munain, M, Lotti, J, Marquez, A, Masoli, O, Mastrovito, E, Mayoraz, M, Melado, G, Mele, A, Merani, M, Meretta, A, Molteni, S, Montecinos, M, Noguera, E, Novoa, C, Sueldo, C, Ascani, S, Pollono, P, Pujol, M, Radzinschi, A, Raimondi, G, Redruello, M, Rodriguez, M, Romero, R, Acuna, A, Rovaletti, F, Miguel, L, Solari, L, Strada, B, Traverso, S, Traverzo, S, Del Huerto Velazquez Espeche, M, Weihmuller, J, Wolcan, J, Zeffiro, S, Sakanyan, M, Beuzeville, S, Boktor, R, Butler, P, Calcott, J, Carr, L, Chan, V, Chao, C, Chong, W, Dobson, M, Downie, D, Dwivedi, G, Elison, B, Engela, J, Francis, R, Gaikwad, A, Basavaraj, A, Goodwin, B, Greenough, R, Hamilton-Craig, C, Hsieh, V, Joshi, S, Lederer, K, Lee, K, Lee, J, Magnussen, J, Mai, N, Mander, G, Murton, F, Nandurkar, D, Neill, J, O'Rourke, E, O'Sullivan, P, Pandos, G, Pathmaraj, K, Pitman, A, Poulter, R, Premaratne, M, Prior, D, Ridley, L, Rutherford, N, Salehi, H, Saunders, C, Scarlett, L, Seneviratne, S, Shetty, D, Shrestha, G, Shulman, J, Solanki, V, Stanton, T, Stuart, M, Stubbs, M, Swainson, I, Taubman, K, Taylor, A, Thomas, P, Unger, S, Upton, A, Vamadevan, S, Van Gaal, W, Verjans, J, Voutnis, D, Wayne, V, Wilson, P, Wong, D, Wong, K, Younger, J, Feuchtner, G, Mirzaei, S, Weiss, K, Maroz-Vadalazhskaya, N, Gheysens, O, Homans, F, Moreno-Reyes, R, Pasquet, A, Roelants, V, Van De Heyning, C, Rios, R, Soldat-Stankovic, V, Stankovic, S, Siqueira, M, Almeida, A, Togni, P, Andrade, J, Andrade, L, Anselmi, C, Araujo, R, Azevedo, G, Bezerra, S, Biancardi, R, Grossman, G, Brandao, S, Pianta, D, Carreira, L, Castro, B, Chang, T, Cunali, F, Cury, R, Dantas, R, De Amorim Fernandes, F, De Lorenzo, A, De MacEdo Filho, R, Erthal, F, Fernandes, F, Fernandes, J, De Souza, T, Alves, W, Ghini, B, Goncalves, L, Gottlieb, I, Hadlich, M, Kameoka, V, Lima, R, Lima, A, Lopes, R, E Silva, R, Magalhaes, T, Silva, F, Mastrocola, L, Medeiros, F, Meneghetti, J, Naue, V, Naves, D, Nolasco, R, Nomura, C, Oliveira, J, Paixao, E, De Carvalho, F, Pinto, I, Possetti, P, Quinta, M, Ramos, R, Rocha, R, Rodrigues, A, Rodrigues, C, Romantini, L, Sanches, A, Santana, S, Da Silva, L, Schvartzman, P, Matushita, C, Senra, T, Shiozaki, A, De Siqueira, M, Siqueira, C, Smanio, P, Soares, C, Soares, J, Bittencourt, M, Spiro, B, Mesquita, C, Torreao, J, Torres, R, Uellendahl, M, Monte, G, Verissimo, O, Cabeda, E, Pedras, F, Waltrick, R, Zapparoli, M, Naseer, H, Garcheva-Tsacheva, M, Kostadinova, I, Theng, Y, Abikhzer, G, Barette, R, Chow, B, Dabreo, D, Friedrich, M, Garg, R, Hafez, M, Johnson, C, Kiess, M, Leipsic, J, Leung, E, Miller, R, Oikonomou, A, Probst, S, Roifman, I, Small, G, Tandon, V, Trivedi, A, White, J, Zukotynski, K, Canessa, J, Munoz, G, Concha, C, Hidalgo, P, Lovera, C, Massardo, T, Vargas, L, Abad, P, Arturo, H, Ayala, S, Benitez, L, Cadena, A, Caicedo, C, Moncayo, A, Gomez, S, Villamil, C, Jaimes, C, Londono, J, Blair, J, Pabon, L, Pineda, M, Rojas, J, Ruiz, D, Escobar, M, Vasquez, A, Vergel, D, Zuluaga, A, Gamboa, I, Castro, G, Gonzalez, U, Baric, A, Batinic, T, Franceschi, M, Hrabak, M, Jukic, M, Medakovic, P, Persic, V, Prpic, M, Punda, A, Batista, J, Lauchy, J, Gutierrez, Y, Menendez, R, Peix, A, Rochela, L, Panagidis, C, Petrou, I, Engelmann, V, Kaminek, M, Kincl, V, Lang, O, Simanek, M, Abdulla, J, Bottcher, M, Christensen, M, Gormsen, L, Hasbak, P, Hess, S, Holdgaard, P, Johansen, A, Kyhl, K, Ovrehus, K, Sand, N, Steffensen, R, Thomassen, A, Zerahn, B, Perez, A, Velez, G, Velez, M, Aziz, I, Abougabal, M, Ahmed, T, Allam, A, Asfour, A, Hassan, M, Hassan, A, Ibrahim, A, Kaffas, S, Kandeel, A, Ali, M, Mansy, A, Maurice, H, Nabil, S, Shaaban, M, Flores, A, Poksi, A, Knuuti, J, Kokkonen, V, Larikka, M, Uusitalo, V, Bailly, M, Burg, S, Deux, J, Habouzit, V, Hyafil, F, Lairez, O, Proffit, F, Regaieg, H, Sarda-Mantel, L, Tacher, V, Schneider, R, Ayetey, H, Angelidis, G, Archontaki, A, Chatziioannou, S, Datseris, I, Fragkaki, C, Georgoulias, P, Koukouraki, S, 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Cavenaghi, G, Chierichetti, F, Chiocchi, M, Cittanti, C, Colletta, M, Conti, U, Cossu, A, Cuocolo, A, Cuzzocrea, M, De Rimini, M, De Vincentis, G, Del Giudice, E, Del Torto, A, Della Tommasina, V, Durmo, R, Erba, P, Evangelista, L, Faletti, R, Faragasso, E, Farsad, M, Ferro, P, Florimonte, L, Frantellizzi, V, Fringuelli, F, Gatti, M, Gaudiano, A, Gimelli, A, Giubbini, R, Giuffrida, F, Ialuna, S, Laudicella, R, Leccisotti, L, Leva, L, Liga, R, Liguori, C, Longo, G, Maffione, M, Mancini, M, Marcassa, C, Nardi, B, Pacella, S, Pepe, G, Pulizzi, S, Quartuccio, N, Rampin, L, Ricci, F, Rossini, P, Rubini, G, Russo, V, Sacchetti, G, Sambuceti, G, Scarano, M, Sciagra, R, Sperandio, M, Stefanelli, A, Ventroni, G, Zoboli, S, Baugh, D, Chambers, D, Madu, E, Nunura, F, Asano, H, Chimura, C, Fujimoto, S, Fujisue, K, Fukunaga, T, Fukushima, Y, Fukuyama, K, Hashimoto, J, Ichikawa, Y, Iguchi, N, Imai, M, Inaki, A, Ishimura, H, Isobe, S, Kadokami, T, Kato, T, Kudo, T, Kumita, S, Maruno, H, Mataki, H, Miyagawa, M, Morimoto, R, Moroi, M, Nagamachi, S, Nakajima, K, Nakata, T, Nakazato, R, Nanasato, M, Naya, M, Norikane, T, Ohta, Y, Okayama, S, Okizaki, A, Otomi, Y, Otsuka, H, Saito, M, Sakata, S, Sarai, M, Sato, D, Shiraishi, S, Suwa, Y, Takanami, K, Takehana, K, Taki, J, Tamaki, N, Taniguchi, Y, Teragawa, H, Tomizawa, N, Tsujita, K, Umeji, K, Wakabayashi, Y, Yamada, S, Yamazaki, S, Yoneyama, T, Rawashdeh, M, Batyrkhanov, D, Dautov, T, Makhdomi, K, Ombati, K, Alkandari, F, Garashi, M, Coie, T, Rajvong, S, Kalinin, A, Kalnina, M, Haidar, M, Komiagiene, R, Kviecinskiene, G, Mataciunas, M, Vajauskas, D, Picard, C, Karim, N, Reichmuth, L, Samuel, A, Allarakha, M, Naojee, A, Alexanderson-Rosas, E, Barragan, E, Becerril, A, Gonzalez-Montecinos, Cabada, M, Rodriguez, D, Carvajal-Juarez, I, Cortes, V, Cortes, F, De La Pena, E, Gama-Moreno, M, Gonzalez, L, Ramirez, N, Jimenez-Santos, M, Matos, L, Monroy, E, Morelos, M, Ornelas, M, Ramirez, J, Preciado-Anaya, A, Preciado-Gutierrez, O, Barragan, A, Uvera, S, Sandoval, S, Tomas, M, Sierra-Galan, L, Siu, S, Vallejo, E, Valles, M, Faraggi, M, Sereegotov, E, Ilic, S, Ben-Rais, N, Alaoui, N, Taleb, S, Myo, K, Thu, P, Ghimire, R, Rajbanshi, B, Barneveld, P, Glaudemans, A, Habets, J, Koopmans, K, Manders, J, Pool, S, Scholte, A, Scholtens, A, Thimister, P, Van Asperen, E, Veltman, N, Verschure, D, Wagenaar, N, Edmond, J, Ellis, C, Johnson, K, Keenan, R, Kueh, S, Occleshaw, C, Sasse, A, To, A, Van Pelt, N, Young, C, Cuadra, T, Vanegas, H, Soli, I, Issoufou, D, Ayodele, T, Madu, C, Onimode, Y, Efros-Monsen, E, Forsdahl, S, Dimmen, J, Jorgensen, A, Krohn, I, Lovhaugen, P, Braten, A, Al Dhuhli, H, Al Kindi, F, Al-Bulushi, N, Jawa, Z, Tag, N, Afzal, M, Fatima, S, Younis, M, Riaz, M, Saadullah, M, Herrera, Y, Lenturut-Katal, D, Vazquez, M, Ortellado, J, Akhter, A, Cao, D, Cheung, S, Dai, X, Gong, L, Han, D, Hou, Y, Li, C, Li, T, Li, D, Li, S, Liu, J, Liu, H, Lu, B, Ng, M, Sun, K, Tang, G, Wang, J, Wang, X, Wang, Z, Wang, Y, Wu, J, Wu, Z, Xia, L, Xiao, J, Xu, L, Yang, Y, Yin, W, Yu, J, Yuan, L, Zhang, T, Zhang, L, Zhang, Y, Zhang, X, Zhu, L, Alfaro, A, Abrihan, P, Barroso, A, Cruz, E, Gomez, M, Magboo, V, Medina, J, Obaldo, J, Pastrana, D, Pawhay, C, Quinon, A, Tang, J, Tecson, B, Uson, K, Uy, M, Kostkiewicz, M, Kunikowska, J, Bettencourt, N, Cantinho, G, Ferreira, A, Syed, G, Arnous, S, Atyani, S, Byrne, A, Gleeson, T, Kerins, D, Meehan, C, Murphy, D, Murphy, M, Murray, J, O'Brien, J, Bang, J, Bom, H, Cho, S, Hong, C, Jang, S, Jeong, Y, Kang, W, Kim, J, Namgung, C, So, Y, Won, K, Majstorov, V, Vavlukis, M, Salobir, B, Stalc, M, Benedek, T, Benedek, I, Mititelu, R, Stan, C, Dariy, O, Drozdova, O, Gagarina, N, Gulyaev, V, Itskovich, I, Karalkin, A, Kokov, A, Migunova, E, Pospelov, V, Ryzhkova, D, Saifullina, G, Sazonova, S, Shurupova, I, Trifonova, T, Ussov, W, Vakhromeeva, M, Valiullina, N, Zavadovsky, K, Zhuravlev, K, Alasnag, M, Okarvi, S, Saranovic, D, Keng, F, See, J, Sekar, R, Yew, M, Vondrak, A, Bejai, S, Bennie, G, Bester, R, Engelbrecht, G, Evbuomwan, O, Gongxeka, H, Vuuren, M, Kaplan, M, Khushica, P, Lakhi, H, Louw, L, Malan, N, Milos, K, Modiselle, M, More, S, Naidoo, M, Scholtz, L, Vangu, M, Aguade-Bruix, S, Blanco, I, Cabrera, A, Camarero, A, Casans-Tormo, I, Cuellar-Calabria, H, Flotats, A, Canamero, M, Garcia, M, Leta, R, Diaz, J, Lumbreras, L, Marquez-Cabeza, J, Martin, F, De Alegria, A, Medina, F, Canal, M, Peiro, V, Pubul-Nunez, V, Madrid, J, Rey, C, Perez, R, Ruiz, J, Hernandez, G, Sevilla, A, Zeidan, N, Nanayakkara, D, Udugama, C, Simonsson, M, Alkadhi, H, Burger, P, Ceriani, L, De Boeck, B, Grani, C, De Saint Lager Lucas, A, Kamani, C, Kawel-Boehm, N, Manka, R, Prior, J, Rominger, A, Vallee, J, Khiewvan, B, Premprabha, T, Thientunyakit, T, Sellem, A, Kir, K, Sayman, H, Sebikali, M, Muyinda, Z, Kmetyuk, Y, Korol, P, Mykhalchenko, O, Pliatsek, V, Satyr, M, Albalooshi, B, Anderson, J, Bedi, P, Biggans, T, Bularga, A, Bull, R, Burgul, R, Carpenter, J, Coles, D, Cusack, D, Deshpande, A, Dougan, J, Fairbairn, T, Farrugia, A, Gopalan, D, Gummow, A, Ramkumar, P, Hamilton, M, Harbinson, M, Hartley, T, Hudson, B, Joshi, N, Kay, M, Kelion, A, Khokhar, A, Kitt, J, Low, C, Mak, S, Marousa, N, Martin, J, Mcalindon, E, Menezes, L, Morgan-Hughes, G, Moss, A, Murray, A, Patel, D, Peebles, C, Pugliese, F, Rodrigues, J, Rofe, C, Sabharwal, N, Schofield, R, Semple, T, Sharma, N, Strouhal, P, Subedi, D, Topping, W, Tweed, K, Weir-Mccall, J, Abbara, S, Abbasi, T, Abbott, B, Abohashem, S, Abramson, S, Al-Abboud, T, Al-Mallah, M, Almousalli, O, Ananthasubramaniam, K, Kumar, M, Askew, J, Attanasio, L, Balmer-Swain, M, Bayer, R, Bernheim, A, Bhatti, S, Bieging, E, Blankstein, R, Bloom, S, Blue, S, Bluemke, D, Borges, A, Branch, K, Bravo, P, Brothers, J, Budoff, M, Bullock-Palmer, R, Burandt, A, Burke, F, Bush, K, Candela, C, Capasso, E, Cavalcante, J, Chang, D, Chatterjee, S, Chatzizisis, Y, Cheezum, M, Chen, T, Chen, J, Chen, M, Choi, A, Clarcq, J, Cordero, A, Crim, M, Danciu, S, Decter, B, Dhruva, N, Doherty, N, Doukky, R, Dunbar, A, Duvall, W, Edwards, R, Esquitin, K, Farah, H, Fentanes, E, Ferencik, M, Fisher, D, Fitzpatrick, D, Foster, C, Fuisz, T, Gannon, M, Gastner, L, Gerson, M, Ghoshhajra, B, Goldberg, A, Goldner, B, Gonzalez, J, Gore, R, Gracia-Lopez, S, Hage, F, Haider, A, Haider, S, Hamirani, Y, Hassen, K, Hatfield, M, Hawkins, C, Hawthorne, K, Heath, N, Hendel, R, Hernandez, P, Hill, G, Horgan, S, Huffman, J, Hurwitz, L, Iskandrian, A, Janardhanan, R, Jellis, C, Jerome, S, Kalra, D, Kaviratne, S, Kay, F, Kelly, F, Khalique, O, Kinkhabwala, M, Iii, G, Kircher, J, Kirkbride, R, Kontos, M, Kottam, A, Krepp, J, Layer, J, Lee, S, Leppo, J, Lesser, J, Leung, S, Lewin, H, Litmanovich, D, Liu, Y, Lopez-Mattei, J, Magurany, K, Markowitz, J, Marn, A, Matis, S, Mckenna, M, Mcrae, T, Mendoza, F, Merhige, M, Min, D, Moffitt, C, Moncher, K, Moore, W, Morayati, S, Morris, M, Mossa-Basha, M, Mrsic, Z, Murthy, V, Nagpal, P, Napier, K, Narula, J, Nelson, K, Nijjar, P, Osman, M, Parwani, P, Passen, E, Patel, A, Patil, P, Paul, R, Phillips, L, Polsani, V, Poludasu, R, Pomerantz, B, Porter, T, Prentice, R, Pursnani, A, Rabbat, M, Ramamurti, S, Rich, F, Luna, H, Robinson, A, Robles, K, Rodriguez, C, Rorie, M, Rumberger, J, Russell, R, Sabra, P, Sadler, D, Schemmer, M, Schoepf, U, Shah, S, Shah, N, Shanbhag, S, Sharma, G, Shayani, S, Shirani, J, Shivaram, P, Sigman, S, Simon, M, Slim, A, Smith, D, Smith, A, Soman, P, Srichai-Parsia, M, Streeter, J, Albert, T, Tawakol, A, Thomas, D, Thompson, R, Torbet, T, Trinidad, D, Ullery, S, Unzek, S, Uretsky, S, Vallurupalli, S, Verma, V, Waller, A, Wang, E, Ward, P, Weissman, G, Wesbey, G, White, K, Winchester, D, Wolinsky, D, Yost, S, Zgaljardic, M, Alonso, O, Beretta, M, Ferrando, R, Kapitan, M, Mut, F, Djuraev, O, Rozikhodjaeva, G, Ngoc, H, Mai, S, Nguyen, X, ​Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE), Translational Immunology Groningen (TRIGR), and Cardiovascular Centre (CVC)

Subjects
INCAPS COVID Investigators Group, cardiac imaging techniques, Settore MED/11 - Malattie dell'Apparato Cardiovascolare, Practice Patterns, Disease, Cardiovascular, coronary artery disease, COVID-19, Cardiac Imaging Techniques, Cardiologists, Europe, Health Care Surveys, Healthcare Disparities, Heart Diseases, Humans, Practice Patterns, Physicians', Predictive Value of Tests, Gross domestic product, Human health, cardiovascular disease, Pandemic, Medicine, cardiovascular imaging, BIOMEDICINA I ZDRAVSTVO. Kliničke medicinske znanosti. Interna medicina, cardiac imaging technique, Predictive value of tests, Cardiology and Cardiovascular Medicine, BIOMEDICINA I ZDRAVSTVO. Kliničke medicinske znanosti. Infektologija, cardiac disease, Coronavirus disease 2019 (COVID-19), Independent predictor, cardiac imaging, NO, Imaging diagnosis, Diseases of the circulatory (Cardiovascular) system, BIOMEDICINE AND HEALTHCARE. Clinical Medical Sciences. Internal Medicine, Physicians', business.industry, BIOMEDICINE AND HEALTHCARE. Clinical Medical Sciences. Infectology, RC666-701, HOSPITALIZATIONS, business, Health Care Delivery, Economics and Global Health Care, Demography
Abstract

ObjectivesWe aimed to explore the impact of the COVID-19 pandemic on cardiac diagnostic testing and practice and to assess its impact in different regions in Europe.MethodsThe online survey organised by the International Atomic Energy Agency Division of Human Health collected information on changes in cardiac imaging procedural volumes between March 2019 and March/April 2020. Data were collected from 909 centres in 108 countries.ResultsCentres in Northern and Southern Europe were more likely to cancel all outpatient activities compared with Western and Eastern Europe. There was a greater reduction in total procedure volumes in Europe compared with the rest of the world in March 2020 (45% vs 41%, p=0.003), with a more marked reduction in Southern Europe (58%), but by April 2020 this was similar in Europe and the rest of the world (69% vs 63%, p=0.261). Regional variations were apparent between imaging modalities, but the largest reductions were in Southern Europe for nearly all modalities. In March 2020, location in Southern Europe was the only independent predictor of the reduction in procedure volume. However, in April 2020, lower gross domestic product and higher COVID-19 deaths were the only independent predictors.ConclusionThe first wave of the COVID-19 pandemic had a significant impact on care of patients with cardiac disease, with substantial regional variations in Europe. This has potential long-term implications for patients and plans are required to enable the diagnosis of non-COVID-19 conditions during the ongoing pandemic.

Published
2021

43. Impact of COVID-19 Pandemic on Cardiovascular Testing in Asia

Author

Takashi Kudo, Ryan Lahey, Cole B. Hirschfeld, Michelle C. Williams, Bin Lu, Mirvat Alasnag, Mona Bhatia, Hee-Seung Henry Bom, Tairkhan Dautov, Reza Fazel, Ganesan Karthikeyan, Felix Y.J. Keng, Ronen Rubinshtein, Nathan Better, Rodrigo Julio Cerci, Sharmila Dorbala, Paolo Raggi, Leslee J. Shaw, Todd C. Villines, João V. Vitola, Andrew D. Choi, Eli Malkovskiy, Benjamin Goebel, Yosef A. Cohen, Michael Randazzo, Thomas N.B. Pascual, Yaroslav Pynda, Maurizio Dondi, Diana Paez, Andrew J. Einstein, Rodrigo Cerci, Joao V. Vitola, Gerd Hinterleitner, Yao Lu, Olga Morozova, Zhuoran Xu, Yosef Cohen, Andrew Choi, Juan Lopez-Mattei, Purvi Parwani, Mohammad Nawaz Nasery, Artan Goda, Ervina Shirka, Rabie Benlabgaa, Salah Bouyoucef, Abdelkader Medjahedi, Qais Nailli, Mariela Agolti, Roberto Nicolas Aguero, Maria del Carmen Alak, Lucia Graciela Alberguina, Guillermo Arroñada, Andrea Astesiano, Alfredo Astesiano, Carolina Bas Norton, Pablo Benteo, Juan Blanco, Juan Manuel Bonelli, Jose Javier Bustos, Raul Cabrejas, Jorge Cachero, Roxana Campisi, Alejandro Canderoli, Silvia Carames, Patrícia Carrascosa, Ricardo Castro, Oscar Cendoya, Luciano Martin Cognigni, Carlos Collaud, Claudia Cortes, Javier Courtis, Daniel Cragnolino, Mariana Daicz, Alejandro De La Vega, Silvia Teresa De Maria, Horacio Del Riego, Fernando Dettori, Alejandro Deviggiano, Laura Dragonetti, Mario Embon, Ruben Emilio Enriquez, Jorge Ensinas, Fernando Faccio, Adolfo Facello, Diego Garofalo, Ricardo Geronazzo, Natalia Gonza, Lucas Gutierrez, Miguel Angel Guzzo, Victor Hasbani, Melina Huerin, Victor Jäger, Julio Manuel Lewkowicz, Maria Nieves A. López De Munaín, Jose Maria Lotti, Alejandra Marquez, Osvaldo Masoli, Osvaldo Horacio Masoli, Edgardo Mastrovito, Matias Mayoraz, Graciela Eva Melado, Anibal Mele, Maria Fernanda Merani, Alejandro Horacio Meretta, Susana Molteni, Marcos Montecinos, Eduardo Noguera, Carlos Novoa, Claudio Pereyra Sueldo, Sebastian Perez Ascani, Pablo Pollono, Maria Paula Pujol, Alejandro Radzinschi, Gustavo Raimondi, Marcela Redruello, Marina Rodríguez, Matías Rodríguez, Romina Lorena Romero, Arturo Romero Acuña, Federico Rovaletti, Lucas San Miguel, Lucrecia Solari, Bruno Strada, Sonia Traverso, Sonia Simona Traverzo, Maria del Huerto Velazquez Espeche, Juan Sebastian Weihmuller, Juan Wolcan, Susana Zeffiro, Mari Sakanyan, Scott Beuzeville, Raef Boktor, Patrick Butler, Jennifer Calcott, Loretta Carr, Virgil Chan, Charles Chao, Woon Chong, Mark Dobson, D'Arne Downie, Girish Dwivedi, Barry Elison, Jean Engela, Roslyn Francis, Anand Gaikwad, Ashok Gangasandra Basavaraj, Bruce Goodwin, Robert Greenough, Christian Hamilton-Craig, Victar Hsieh, Subodh Joshi, Karin Lederer, Kenneth Lee, Joseph Lee, John Magnussen, Nghi Mai, Gordon Mander, Fiona Murton, Dee Nandurkar, Johanne Neill, Edward O'Rourke, Patricia O'Sullivan, George Pandos, Kunthi Pathmaraj, Alexander Pitman, Rohan Poulter, Manuja Premaratne, David Prior, Lloyd Ridley, Natalie Rutherford, Hamid Salehi, Connor Saunders, Luke Scarlett, Sujith Seneviratne, Deepa Shetty, Ganesh Shrestha, Jonathan Shulman, Vijay Solanki, Tony Stanton, Murch Stuart, Michael Stubbs, Ian Swainson, Kim Taubman, Andrew Taylor, Paul Thomas, Steven Unger, Anthony Upton, Shankar Vamadevan, William Van Gaal, Johan Verjans, Demetrius Voutnis, Victor Wayne, Peter Wilson, David Wong, Kirby Wong, John Younger, Gudrun Feuchtner, Siroos Mirzaei, Konrad Weiss, Natallia Maroz-Vadalazhskaya, Olivier Gheysens, Filip Homans, Rodrigo Moreno-Reyes, Agnès Pasquet, Veronique Roelants, Caroline M. Van De Heyning, Raúl Araujo Ríos, Valentina Soldat-Stankovic, Sinisa Stankovic, Maria Helena Albernaz Siqueira, Augusto Almeida, Paulo Henrique Alves Togni, Jose Henrique Andrade, Luciana Andrade, Carlos Anselmi, Roberta Araújo, Guilherme Azevedo, Sabbrina Bezerra, Rodrigo Biancardi, Gabriel Blacher Grossman, Simone Brandão, Diego Bromfman Pianta, Lara Carreira, Bruno Castro, Tien Chang, Fernando Cunali, Roberto Cury, Roberto Dantas, Fernando de Amorim Fernandes, Andrea De Lorenzo, Robson De Macedo Filho, Fernanda Erthal, Fabio Fernandes, Juliano Fernandes, Thiago Ferreira De Souza, Wilson Furlan Alves, Bruno Ghini, Luiz Goncalves, Ilan Gottlieb, Marcelo Hadlich, Vinícius Kameoka, Ronaldo Lima, Adna Lima, Rafael Willain Lopes, Ricardo Machado e Silva, Tiago Magalhães, Fábio Martins Silva, Luiz Eduardo Mastrocola, Fábio Medeiros, José Claudio Meneghetti, Vania Naue, Danilo Naves, Roberto Nolasco, Cesar Nomura, Joao Bruno Oliveira, Eduardo Paixao, Filipe Penna De Carvalho, Ibraim Pinto, Priscila Possetti, Mayra Quinta, Rodrigo Rizzo Nogueira Ramos, Ricardo Rocha, Alfredo Rodrigues, Carlos Rodrigues, Leila Romantini, Adelina Sanches, Sara Santana, Leonardo Sara da Silva, Paulo Schvartzman, Cristina Sebastião Matushita, Tiago Senra, Afonso Shiozaki, Maria Eduarda Menezes de Siqueira, Cristiano Siqueira, Paola Smanio, Carlos Eduardo Soares, José Soares Junior, Marcio Sommer Bittencourt, Bernardo Spiro, Cláudio Tinoco Mesquita, Jorge Torreao, Rafael Torres, Marly Uellendahl, Guilherme Urpia Monte, Otávia Veríssimo, Estevan Vieira Cabeda, Felipe Villela Pedras, Roberto Waltrick, Marcello Zapparoli, Hamid Naseer, Marina Garcheva-Tsacheva, Irena Kostadinova, Youdaline Theng, Gad Abikhzer, Rene Barette, Benjamin Chow, Dominique Dabreo, Matthias Friedrich, Ria Garg, Mohammed Nassoh Hafez, Chris Johnson, Marla Kiess, Jonathon Leipsic, Eugene Leung, Robert Miller, Anastasia Oikonomou, Stephan Probst, Idan Roifman, Gary Small, Vikas Tandon, Adwait Trivedi, James White, Katherine Zukotynski, Jose Canessa, Gabriel Castro Muñoz, Carmen Concha, Pablo Hidalgo, Cesar Lovera, Teresa Massardo, Luis Salazar Vargas, Pedro Abad, Harold Arturo, Sandra Ayala, Luis Benitez, Alberto Cadena, Carlos Caicedo, Antonio Calderón Moncayo, Sharon Gomez, Claudia T. Gutierrez Villamil, Claudia Jaimes, Juan Londoño, Juan Luis Londoño Blair, Luz Pabon, Mauricio Pineda, Juan Carlos Rojas, Diego Ruiz, Manuel Valencia Escobar, Andres Vasquez, Damiana Vergel, Alejandro Zuluaga, Isabel Berrocal Gamboa, Gabriel Castro, Ulises González, Ana Baric, Tonci Batinic, Maja Franceschi, Maja Hrabak Paar, Mladen Jukic, Petar Medakovic, Viktor Persic, Marina Prpic, Ante Punda, Juan Felipe Batista, Juan Manuel Gómez Lauchy, Yamile Marcos Gutierrez, Rayner Menéndez, Amalia Peix, Luis Rochela, Christoforos Panagidis, Ioannis Petrou, Vaclav Engelmann, Milan Kaminek, Vladimír Kincl, Otto Lang, Milan Simanek, Jawdat Abdulla, Morten Bøttcher, Mette Christensen, Lars Christian Gormsen, Philip Hasbak, Søren Hess, Paw Holdgaard, Allan Johansen, Kasper Kyhl, Bjarne Linde Norgaard, Kristian Altern Øvrehus, Niels Peter Rønnow Sand, Rolf Steffensen, Anders Thomassen, Bo Zerahn, Alfredo Perez, Giovanni Alejandro Escorza Velez, Mayra Sanchez Velez, Islam Shawky Abdel Aziz, Mahasen Abougabal, Taghreed Ahmed, Adel Allam, Ahmed Asfour, Mona Hassan, Alia Hassan, Ahmed Ibrahim, Sameh Kaffas, Ahmed Kandeel, Mohamed Mandour Ali, Ahmad Mansy, Hany Maurice, Sherif Nabil, Mahmoud Shaaban, Ana Camila Flores, Anne Poksi, Juhani Knuuti, Velipekka Kokkonen, Martti Larikka, Valtteri Uusitalo, Matthieu Bailly, Samuel Burg, Jean-François Deux, Vincent Habouzit, Fabien Hyafil, Olivier Lairez, Franck Proffit, Hamza Regaieg, Laure Sarda-Mantel, Vania Tacher, Roman P. Schneider, Harold Ayetey, George Angelidis, Aikaterini Archontaki, Sofia Chatziioannou, Ioannis Datseris, Christina Fragkaki, Panagiotis Georgoulias, Sophia Koukouraki, Maria Koutelou, Eleni Kyrozi, Evangelos Repasos, Petros Stavrou, Pipitsa Valsamaki, Carla Gonzalez, Goleat Gutierrez, Alejandro Maldonado, Klara Buga, Ildiko Garai, Pál Maurovich-Horvat, Erzsébet Schmidt, Balint Szilveszter, Edit Várady, Nilesh Banthia, Jinendra Kumar Bhagat, Rishi Bhargava, Vivek Bhat, Partha Choudhury, Vijay Sai Chowdekar, Aparna Irodi, Shashank Jain, Elizabeth Joseph, Sukriti Kumar, Prof Dr Girijanandan Mahapatra, Deepanjan Mitra, Bhagwant Rai Mittal, Ahmad Ozair, Chetan Patel, Tapan Patel, Ravi Patel, Shivani Patel, Sudhir Saxena, Shantanu Sengupta, Santosh Singh, Bhanupriya Singh, Ashwani Sood, Atul Verma, Erwin Affandi, Padma Savenadia Alam, Edison Edison, Gani Gunawan, Habusari Hapkido, Basuki Hidayat, Aulia Huda, Anggoro Praja Mukti, Djoko Prawiro, Erwin Affandi Soeriadi, Hilman Syawaluddin, Amjed Albadr, Majid Assadi, Farshad Emami, Golnaz Houshmand, Majid Maleki, Maryam Tajik Rostami, Seyed Rasoul Zakavi, Eed Abu Zaid, Svetlana Agranovich, Yoav Arnson, Rachel Bar-Shalom, Alex Frenkel, Galit Knafo, Rachel Lugassi, Israel Shlomo Maor Moalem, Maya Mor, Noam Muskal, Sara Ranser, Aryeh Shalev, Domenico Albano, Pierpaolo Alongi, Gaspare Arnone, Elisa Bagatin, Sergio Baldari, Matteo Bauckneht, Paolo Bertelli, Francesco Bianco, Rachele Bonfiglioli, Roberto Boni, Andrea Bruno, Isabella Bruno, Elena Busnardo, Elena Califaretti, Luca Camoni, Aldo Carnevale, Roberta Casoni, Armando Ugo Cavallo, Giorgio Cavenaghi, Franca Chierichetti, Marcello Chiocchi, Corrado Cittanti, Mauro Colletta, Umberto Conti, Alberto Cossu, Alberto Cuocolo, Marco Cuzzocrea, Maria Luisa De Rimini, Giuseppe De Vincentis, Eleonora Del Giudice, Alberico Del Torto, Veronica Della Tommasina, Rexhep Durmo, Paola Anna Erba, Laura Evangelista, Riccardo Faletti, Evelina Faragasso, Mohsen Farsad, Paola Ferro, Luigia Florimonte, Viviana Frantellizzi, Fabio Massimo Fringuelli, Marco Gatti, Angela Gaudiano, Alessia Gimelli, Raffaele Giubbini, Francesca Giuffrida, Salvatore Ialuna, Riccardo Laudicella, Lucia Leccisotti, Lucia Leva, Riccardo Liga, Carlo Liguori, Giampiero Longo, Margherita Maffione, Maria Elisabetta Mancini, Claudio Marcassa, Elisa Milan, Barbara Nardi, Sara Pacella, Giovanna Pepe, Gianluca Pontone, Sabina Pulizzi, Natale Quartuccio, Lucia Rampin, Fabrizio Ricci, Pierluigi Rossini, Giuseppe Rubini, Vincenzo Russo, Gian Mauro Sacchetti, Gianmario Sambuceti, Massimo Scarano, Roberto Sciagrà, Massimiliano Sperandio, Antonella Stefanelli, Guido Ventroni, Stefania Zoboli, Dainia Baugh, Duane Chambers, Ernest Madu, Felix Nunura, Hiroshi Asano, Chimura Misato Chimura, Shinichiro Fujimoto, Koichiro Fujisue, Tomohisa Fukunaga, Yoshimitsu Fukushima, Kae Fukuyama, Jun Hashimoto, Yasutaka Ichikawa, Nobuo Iguchi, Masamichi Imai, Anri Inaki, Hayato Ishimura, Satoshi Isobe, Toshiaki Kadokami, Takao Kato, Shinichiro Kumita, Hirotaka Maruno, Hiroyuki Mataki, Masao Miyagawa, Ryota Morimoto, Masao Moroi, Shigeki Nagamachi, Kenichi Nakajima, Tomoaki Nakata, Ryo Nakazato, Mamoru Nanasato, Masanao Naya, Takashi Norikane, Yasutoshi Ohta, Satoshi Okayama, Atsutaka Okizaki, Yoichi Otomi, Hideki Otsuka, Masaki Saito, Sakata Yasushi Sakata, Masayoshi Sarai, Daisuke Sato, Shinya Shiraishi, Yoshinobu Suwa, Kentaro Takanami, Kazuya Takehana, Junichi Taki, Nagara Tamaki, Yasuyo Taniguchi, Hiroki Teragawa, Nobuo Tomizawa, Kenichi Tsujita, Kyoko Umeji, Yasushi Wakabayashi, Shinichiro Yamada, Shinya Yamazaki, Tatsuya Yoneyama, Mohammad Rawashdeh, Daultai Batyrkhanov, Khalid Makhdomi, Kevin Ombati, Faridah Alkandari, Masoud Garashi, Tchoyoson Lim Coie, Sonexay Rajvong, Artem Kalinin, Marika Kalnina, Mohamad Haidar, Renata Komiagiene, Giedre Kviecinskiene, Mindaugas Mataciunas, Donatas Vajauskas, Christian Picard, Noor Khairiah A. Karim, Luise Reichmuth, Anthony Samuel, Mohammad Aaftaab Allarakha, Ambedhkar Shantaram Naojee, Erick Alexanderson-Rosas, Erika Barragan, Alejandro Becerril González-Montecinos, Manuel Cabada, Daniel Calderon Rodriguez, Isabel Carvajal-Juarez, Violeta Cortés, Filiberto Cortés, Erasmo De La Peña, Manlio Gama-Moreno, Luis González, Nelsy Gonzalez Ramírez, Moisés Jiménez-Santos, Luis Matos, Edgar Monroy, Martha Morelos, Mario Ornelas, Jose Alberto Ortga Ramirez, Andrés Preciado-Anaya, Óscar Ulises Preciado-Gutiérrez, Adriana Puente Barragan, Sandra Graciela Rosales Uvera, Sigelinda Sandoval, Miguel Santaularia Tomas, Lilia M. 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Joseph Schoepf, Samir Shah, Nishant Shah, Sujata Shanbhag, Gaurav Sharma, Steven Shayani, Jamshid Shirani, Pushpa Shivaram, Steven Sigman, Mitch Simon, Ahmad Slim, David Smith, Alexandra Smith, Prem Soman, Aditya Sood, Monvadi Barbara Srichai-Parsia, James Streeter, Albert T, Ahmed Tawakol, Dustin Thomas, Randall Thompson, Tara Torbet, Desiree Trinidad, Shawn Ullery, Samuel Unzek, Seth Uretsky, Srikanth Vallurupalli, Vikas Verma, Alfonso Waller, Ellen Wang, Parker Ward, Gaby Weissman, George Wesbey, Kelly White, David Winchester, David Wolinsky, Sandra Yost, Michael Zgaljardic, Omar Alonso, Mario Beretta, Rodolfo Ferrando, Miguel Kapitan, Fernando Mut, Omoa Djuraev, Gulnora Rozikhodjaeva, Ha Le Ngoc, Son Hong Mai, Xuan Canh Nguyen, Kudo, T, Lahey, R, Hirschfeld, C, Williams, M, Lu, B, Alasnag, M, Bhatia, M, Henry Bom, H, Dautov, T, Fazel, R, Karthikeyan, G, Keng, F, Rubinshtein, R, Better, N, Cerci, R, Dorbala, S, Raggi, P, Shaw, L, Villines, T, Vitola, J, Choi, A, Malkovskiy, E, 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Pollono, P, Pujol, M, Radzinschi, A, Raimondi, G, Redruello, M, Rodríguez, M, Romero, R, Acuña, A, Rovaletti, F, San Miguel, L, Solari, L, Strada, B, Traverso, S, Traverzo, S, Espeche, M, Weihmuller, J, Wolcan, J, Zeffiro, S, Sakanyan, M, Beuzeville, S, Boktor, R, Butler, P, Calcott, J, Carr, L, Chan, V, Chao, C, Chong, W, Dobson, M, Downie, D, Dwivedi, G, Elison, B, Engela, J, Francis, R, Gaikwad, A, Basavaraj, A, Goodwin, B, Greenough, R, Hamilton-Craig, C, Hsieh, V, Joshi, S, Lederer, K, Lee, K, Lee, J, Magnussen, J, Mai, N, Mander, G, Murton, F, Nandurkar, D, Neill, J, O'Rourke, E, O'Sullivan, P, Pandos, G, Pathmaraj, K, Pitman, A, Poulter, R, Premaratne, M, Prior, D, Ridley, L, Rutherford, N, Salehi, H, Saunders, C, Scarlett, L, Seneviratne, S, Shetty, D, Shrestha, G, Shulman, J, Solanki, V, Stanton, T, Stuart, M, Stubbs, M, Swainson, I, Taubman, K, Taylor, A, Thomas, P, Unger, S, Upton, A, Vamadevan, S, Van Gaal, W, Verjans, J, Voutnis, D, Wayne, V, Wilson, P, Wong, D, Wong, K, Younger, J, Feuchtner, G, Mirzaei, S, Weiss, K, Maroz-Vadalazhskaya, N, Gheysens, O, Homans, F, Moreno-Reyes, R, Pasquet, A, Roelants, V, Van De Heyning, C, Ríos, R, Soldat-Stankovic, V, Stankovic, S, Albernaz Siqueira, M, Almeida, A, Alves Togni, P, Andrade, J, Andrade, L, Anselmi, C, Araújo, R, Azevedo, G, Bezerra, S, Biancardi, R, Grossman, G, Brandão, S, Pianta, D, Carreira, L, Castro, B, Chang, T, Cunali, F, Cury, R, Dantas, R, de Amorim Fernandes, F, De Lorenzo, A, De Macedo Filho, R, Erthal, F, Fernandes, F, Fernandes, J, De Souza, T, Alves, W, Ghini, B, Goncalves, L, Gottlieb, I, Hadlich, M, Kameoka, V, Lima, R, Lima, A, Lopes, R, Machado e Silva, R, Magalhães, T, Silva, F, Mastrocola, L, Medeiros, F, Meneghetti, J, Naue, V, Naves, D, Nolasco, R, Nomura, C, Oliveira, J, Paixao, E, De Carvalho, F, Pinto, I, Possetti, P, Quinta, M, Nogueira Ramos, R, Rocha, R, Rodrigues, A, Rodrigues, C, Romantini, L, Sanches, A, Santana, S, Sara da Silva, L, Schvartzman, P, Matushita, C, Senra, T, Shiozaki, A, Menezes de Siqueira, M, Siqueira, C, Smanio, P, Soares, C, Junior, J, Bittencourt, M, Spiro, B, Mesquita, C, Torreao, J, Torres, R, Uellendahl, M, Monte, G, Veríssimo, O, Cabeda, E, Pedras, F, Waltrick, R, Zapparoli, M, Naseer, H, Garcheva-Tsacheva, M, Kostadinova, I, Theng, Y, Abikhzer, G, Barette, R, Chow, B, Dabreo, D, Friedrich, M, Garg, R, Hafez, M, Johnson, C, Kiess, M, Leipsic, J, Leung, E, Miller, R, Oikonomou, A, Probst, S, Roifman, I, Small, G, Tandon, V, Trivedi, A, White, J, Zukotynski, K, Canessa, J, Muñoz, G, Concha, C, Hidalgo, P, Lovera, C, Massardo, T, Vargas, L, Abad, P, Arturo, H, Ayala, S, Benitez, L, Cadena, A, Caicedo, C, Moncayo, A, Gomez, S, Gutierrez Villamil, C, Jaimes, C, Londoño, J, Londoño Blair, J, Pabon, L, Pineda, M, Rojas, J, Ruiz, D, Escobar, M, Vasquez, A, Vergel, D, Zuluaga, A, Gamboa, I, Castro, G, González, U, Baric, A, Batinic, T, Franceschi, M, Paar, M, Jukic, M, Medakovic, P, Persic, V, Prpic, M, Punda, A, Batista, J, Gómez Lauchy, J, Gutierrez, Y, Menéndez, R, Peix, A, Rochela, L, Panagidis, C, Petrou, I, Engelmann, V, Kaminek, M, Kincl, V, Lang, O, Simanek, M, Abdulla, J, Bøttcher, M, Christensen, M, Gormsen, L, Hasbak, P, Hess, S, Holdgaard, P, Johansen, A, Kyhl, K, Norgaard, B, Øvrehus, K, Rønnow Sand, N, Steffensen, R, Thomassen, A, Zerahn, B, Perez, A, Escorza Velez, G, Velez, M, Abdel Aziz, I, Abougabal, M, Ahmed, T, Allam, A, Asfour, A, Hassan, M, Hassan, A, Ibrahim, A, Kaffas, S, Kandeel, A, Ali, M, Mansy, A, Maurice, H, Nabil, S, Shaaban, M, Flores, A, Poksi, A, Knuuti, J, Kokkonen, V, Larikka, M, Uusitalo, V, Bailly, M, Burg, S, Deux, J, Habouzit, V, Hyafil, F, Lairez, O, Proffit, F, Regaieg, H, Sarda-Mantel, L, Tacher, V, Schneider, R, Ayetey, H, Angelidis, G, Archontaki, A, Chatziioannou, S, Datseris, I, Fragkaki, C, Georgoulias, P, Koukouraki, S, Koutelou, M, Kyrozi, E, Repasos, E, Stavrou, P, Valsamaki, P, Gonzalez, C, Gutierrez, G, Maldonado, A, Buga, K, Garai, I, Maurovich-Horvat, P, Schmidt, E, Szilveszter, B, Várady, E, Banthia, N, Bhagat, J, Bhargava, R, Bhat, V, Choudhury, P, Chowdekar, V, Irodi, A, Jain, S, Joseph, E, Kumar, S, Girijanandan Mahapatra, P, Mitra, D, Mittal, B, Ozair, A, Patel, C, Patel, T, Patel, R, Patel, S, Saxena, S, Sengupta, S, Singh, S, Singh, B, Sood, A, Verma, A, Affandi, E, Alam, P, Edison, E, Gunawan, G, Hapkido, H, Hidayat, B, Huda, A, Mukti, A, Prawiro, D, Soeriadi, E, Syawaluddin, H, Albadr, A, Assadi, M, Emami, F, Houshmand, G, Maleki, M, Rostami, M, Zakavi, S, Zaid, E, Agranovich, S, Arnson, Y, Bar-Shalom, R, Frenkel, A, Knafo, G, Lugassi, R, Maor Moalem, I, Mor, M, Muskal, N, Ranser, S, Shalev, A, Albano, D, Alongi, P, Arnone, G, Bagatin, E, Baldari, S, Bauckneht, M, Bertelli, P, Bianco, F, Bonfiglioli, R, Boni, R, Bruno, A, Bruno, I, Busnardo, E, Califaretti, E, Camoni, L, Carnevale, A, Casoni, R, Cavallo, A, Cavenaghi, G, Chierichetti, F, Chiocchi, M, Cittanti, C, Colletta, M, Conti, U, Cossu, A, Cuocolo, A, Cuzzocrea, M, De Rimini, M, De Vincentis, G, Del Giudice, E, Del Torto, A, Della Tommasina, V, Durmo, R, Erba, P, Evangelista, L, Faletti, R, Faragasso, E, Farsad, M, Ferro, P, Florimonte, L, Frantellizzi, V, Fringuelli, F, Gatti, M, Gaudiano, A, Gimelli, A, Giubbini, R, Giuffrida, F, Ialuna, S, Laudicella, R, Leccisotti, L, Leva, L, Liga, R, Liguori, C, Longo, G, Maffione, M, Mancini, M, Marcassa, C, Milan, E, Nardi, B, Pacella, S, Pepe, G, Pontone, G, Pulizzi, S, Quartuccio, N, Rampin, L, Ricci, F, Rossini, P, Rubini, G, Russo, V, Sacchetti, G, Sambuceti, G, Scarano, M, Sciagrà, R, Sperandio, M, Stefanelli, A, Ventroni, G, Zoboli, S, Baugh, D, Chambers, D, Madu, E, Nunura, F, Asano, H, Chimura, C, Fujimoto, S, Fujisue, K, Fukunaga, T, Fukushima, Y, Fukuyama, K, Hashimoto, J, Ichikawa, Y, Iguchi, N, Imai, M, Inaki, A, Ishimura, H, Isobe, S, Kadokami, T, Kato, T, Kumita, S, Maruno, H, Mataki, H, Miyagawa, M, Morimoto, R, Moroi, M, Nagamachi, S, Nakajima, K, Nakata, T, Nakazato, R, Nanasato, M, Naya, M, Norikane, T, Ohta, Y, Okayama, S, Okizaki, A, Otomi, Y, Otsuka, H, Saito, M, Sakata, S, Sarai, M, Sato, D, Shiraishi, S, Suwa, Y, Takanami, K, Takehana, K, Taki, J, Tamaki, N, Taniguchi, Y, Teragawa, H, Tomizawa, N, Tsujita, K, Umeji, K, Wakabayashi, Y, Yamada, S, Yamazaki, S, Yoneyama, T, Rawashdeh, M, Batyrkhanov, D, Makhdomi, K, Ombati, K, Alkandari, F, Garashi, M, Coie, T, Rajvong, S, Kalinin, A, Kalnina, M, Haidar, M, Komiagiene, R, Kviecinskiene, G, Mataciunas, M, Vajauskas, D, Picard, C, Karim, N, Reichmuth, L, Samuel, A, Allarakha, M, Naojee, A, Alexanderson-Rosas, E, Barragan, E, González-Montecinos, A, Cabada, M, Rodriguez, D, Carvajal-Juarez, I, Cortés, V, Cortés, F, De La Peña, E, Gama-Moreno, M, González, L, Ramírez, N, Jiménez-Santos, M, Matos, L, Monroy, E, Morelos, M, Ornelas, M, Ortga Ramirez, J, Preciado-Anaya, A, Preciado-Gutiérrez, Ó, Barragan, A, Rosales Uvera, S, Sandoval, S, Tomas, M, Sierra-Galan, L, Siu, S, Vallejo, E, Valles, M, Faraggi, M, Sereegotov, E, Ilic, S, Ben-Rais, N, Alaoui, N, Taleb, S, Pa Myo, K, Thu, P, Ghimire, R, Rajbanshi, B, Barneveld, P, Glaudemans, A, Habets, J, Koopmans, K, Manders, J, Pool, S, Scholte, A, Scholtens, A, Slart, R, Thimister, P, Van Asperen, E, Veltman, N, Verschure, D, Wagenaar, N, Edmond, J, Ellis, C, Johnson, K, Keenan, R, Kueh, S, Occleshaw, C, Sasse, A, To, A, Van Pelt, N, Young, C, Cuadra, T, Roque Vanegas, H, Soli, I, Issoufou, D, Ayodele, T, Madu, C, Onimode, Y, Efros-Monsen, E, Forsdahl, S, Hildre Dimmen, J, Jørgensen, A, Krohn, I, Løvhaugen, P, Bråten, A, Al Dhuhli, H, Al Kindi, F, Al-Bulushi, N, Jawa, Z, Tag, N, Afzal, M, Fatima, S, Younis, M, Riaz, M, Saadullah, M, Herrera, Y, Lenturut-Katal, D, Vázquez, M, Ortellado, J, Akhter, A, Cao, D, Cheung, S, Dai, X, Gong, L, Han, D, Hou, Y, Li, C, Li, T, Li, D, Li, S, Liu, J, Liu, H, Ng, M, Sun, K, Tang, G, Wang, J, Wang, X, Wang, Z, Wang, Y, Wu, J, Wu, Z, Xia, L, Xiao, J, Xu, L, Yang, Y, Yin, W, Yu, J, Yuan, L, Zhang, T, Zhang, L, Zhang, Y, Zhang, X, Zhu, L, Alfaro, A, Abrihan, P, Barroso, A, Cruz, E, Gomez, M, Magboo, V, Medina, J, Obaldo, J, Pastrana, D, Pawhay, C, Quinon, A, Tang, J, Tecson, B, Uson, K, Uy, M, Kostkiewicz, M, Kunikowska, J, Bettencourt, N, Cantinho, G, Ferreira, A, Syed, G, Arnous, S, Atyani, S, Byrne, A, Gleeson, T, Kerins, D, Meehan, C, Murphy, D, Murphy, M, Murray, J, O'Brien, J, Bang, J, Bom, H, Cho, S, Hong, C, Jang, S, Jeong, Y, Kang, W, Kim, J, Namgung, C, So, Y, Won, K, Majstorov, V, Vavlukis, M, Salobir, B, Štalc, M, Benedek, T, Benedek, I, Mititelu, R, Stan, C, Ansheles, A, Dariy, O, Drozdova, O, Gagarina, N, Gulyaev, V, Itskovich, I, Karalkin, A, Kokov, A, Migunova, E, Pospelov, V, Ryzhkova, D, Saifullina, G, Sazonova, S, Sergienko, V, Shurupova, I, Trifonova, T, Ussov, W, Vakhromeeva, M, Valiullina, N, Zavadovsky, K, Zhuravlev, K, Okarvi, S, Saranovic, D, Jason See, J, Sekar, R, Yew, M, Vondrak, A, Bejai, S, Bennie, G, Bester, R, Engelbrecht, G, Evbuomwan, O, Gongxeka, H, Vuuren, M, Kaplan, M, Khushica, P, Lakhi, H, Louw, L, Malan, N, Milos, K, Modiselle, M, More, S, Naidoo, M, Scholtz, L, Vangu, M, Aguadé-Bruix, S, Blanco, I, Cabrera, A, Camarero, A, Casáns-Tormo, I, Cuellar-Calabria, H, Flotats, A, Fuentes Cañamero, M, García, M, Jimenez-Heffernan, A, Leta, R, Diaz, J, Lumbreras, L, Marquez-Cabeza, J, Martin, F, Martinez de Alegria, A, Medina, F, Canal, M, Peiro, V, Pubul-Nuñez, V, Rayo Madrid, J, Rey, C, Perez, R, Ruiz, J, Hernández, G, Sevilla, A, Zeidán, N, Nanayakkara, D, Udugama, C, Simonsson, M, Alkadhi, H, Buechel, R, Burger, P, Ceriani, L, De Boeck, B, Gräni, C, Juillet de Saint Lager Lucas, A, Kamani, C, Kawel-Boehm, N, Manka, R, Prior, J, Rominger, A, Vallée, J, Khiewvan, B, Premprabha, T, Thientunyakit, T, Sellem, A, Kir, K, Sayman, H, Sebikali, M, Muyinda, Z, Kmetyuk, Y, Korol, P, Mykhalchenko, O, Pliatsek, V, Satyr, M, Albalooshi, B, Ahmed Hassan, M, Anderson, J, Bedi, P, Biggans, T, Bularga, A, Bull, R, Burgul, R, Carpenter, J, Coles, D, Cusack, D, Deshpande, A, Dougan, J, Fairbairn, T, Farrugia, A, Gopalan, D, Gummow, A, Ramkumar, P, Hamilton, M, Harbinson, M, Hartley, T, Hudson, B, Joshi, N, Kay, M, Kelion, A, Khokhar, A, Kitt, J, Low, C, Mak, S, Marousa, N, Martin, J, Mcalindon, E, Menezes, L, Morgan-Hughes, G, Moss, A, Murray, A, Nicol, E, Patel, D, Peebles, C, Pugliese, F, Luis Rodrigues, J, Rofe, C, Sabharwal, N, Schofield, R, Semple, T, Sharma, N, Strouhal, P, Subedi, D, Topping, W, Tweed, K, Weir-Mccall, J, Abbara, S, Abbasi, T, Abbott, B, Abohashem, S, Abramson, S, Al-Abboud, T, Al-Mallah, M, Almousalli, O, Ananthasubramaniam, K, Kumar, M, Askew, J, Attanasio, L, Balmer-Swain, M, Bayer, R, Bernheim, A, Bhatti, S, Bieging, E, Blankstein, R, Bloom, S, Blue, S, Bluemke, D, Borges, A, Branch, K, Bravo, P, Brothers, J, Budoff, M, Bullock-Palmer, R, Burandt, A, Burke, F, Bush, K, Candela, C, Capasso, E, Cavalcante, J, Chang, D, Chatterjee, S, Chatzizisis, Y, Cheezum, M, Chen, T, Chen, J, Chen, M, Clarcq, J, Cordero, A, Crim, M, Danciu, S, Decter, B, Dhruva, N, Doherty, N, Doukky, R, Dunbar, A, Duvall, W, Edwards, R, Esquitin, K, Farah, H, Fentanes, E, Ferencik, M, Fisher, D, Fitzpatrick, D, Foster, C, Fuisz, T, Gannon, M, Gastner, L, Gerson, M, Ghoshhajra, B, Goldberg, A, Goldner, B, Gonzalez, J, Gore, R, Gracia-López, S, Hage, F, Haider, A, Haider, S, Hamirani, Y, Hassen, K, Hatfield, M, Hawkins, C, Hawthorne, K, Heath, N, Hendel, R, Hernandez, P, Hill, G, Horgan, S, Huffman, J, Hurwitz, L, Iskandrian, A, Janardhanan, R, Jellis, C, Jerome, S, Kalra, D, Kaviratne, S, Kay, F, Kelly, F, Khalique, O, Kinkhabwala, M, Iii, G, Kircher, J, Kirkbride, R, Kontos, M, Kottam, A, Krepp, J, Layer, J, Lee, S, Leppo, J, Lesser, J, Leung, S, Lewin, H, Litmanovich, D, Liu, Y, Magurany, K, Markowitz, J, Marn, A, Matis, S, Mckenna, M, Mcrae, T, Mendoza, F, Merhige, M, Min, D, Moffitt, C, Moncher, K, Moore, W, Morayati, S, Morris, M, Mossa-Basha, M, Mrsic, Z, Murthy, V, Nagpal, P, Napier, K, Nelson, K, Nijjar, P, Osman, M, Passen, E, Patel, A, Patil, P, Paul, R, Phillips, L, Polsani, V, Poludasu, R, Pomerantz, B, Porter, T, Prentice, R, Pursnani, A, Rabbat, M, Ramamurti, S, Rich, F, Luna, H, Robinson, A, Robles, K, Rodríguez, C, Rorie, M, Rumberger, J, Russell, R, Sabra, P, Sadler, D, Schemmer, M, Schoepf, U, Shah, S, Shah, N, Shanbhag, S, Sharma, G, Shayani, S, Shirani, J, Shivaram, P, Sigman, S, Simon, M, Slim, A, Smith, D, Smith, A, Soman, P, Srichai-Parsia, M, Streeter, J, T, A, Tawakol, A, Thomas, D, Thompson, R, Torbet, T, Trinidad, D, Ullery, S, Unzek, S, Uretsky, S, Vallurupalli, S, Verma, V, Waller, A, Wang, E, Ward, P, Weissman, G, Wesbey, G, White, K, Winchester, D, Wolinsky, D, Yost, S, Zgaljardic, M, Alonso, O, Beretta, M, Ferrando, R, Kapitan, M, Mut, F, Djuraev, O, Rozikhodjaeva, G, Le Ngoc, H, Mai, S, and Nguyen, X

Subjects
medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Heart disease, business.industry, cardiac testing, coronavirus, COVID-19, global health, Disease, medicine.disease_cause, medicine.disease, coronaviru, cardiovascular disease, RC666-701, Emergency medicine, Pandemic, medicine, Global health, Diseases of the circulatory (Cardiovascular) system, business, Coronavirus
Abstract

Background: The coronavirus disease-2019 (COVID-19) pandemic significantly affected management of cardiovascular disease around the world. The effect of the pandemic on volume of cardiovascular diagnostic procedures is not known. Objectives: This study sought to evaluate the effects of the early phase of the COVID-19 pandemic on cardiovascular diagnostic procedures and safety practices in Asia. Methods: The International Atomic Energy Agency conducted a worldwide survey to assess changes in cardiovascular procedure volume and safety practices caused by COVID-19. Testing volumes were reported for March 2020 and April 2020 and were compared to those from March 2019. Data from 180 centers across 33 Asian countries were grouped into 4 subregions for comparison. Results: Procedure volumes decreased by 47% from March 2019 to March 2020, showing recovery from March 2020 to April 2020 in Eastern Asia, particularly in China. The majority of centers cancelled outpatient activities and increased time per study. Practice changes included implementing physical distancing and restricting visitors. Although COVID testing was not commonly performed, it was conducted in one-third of facilities in Eastern Asia. The most severe reductions in procedure volumes were observed in lower-income countries, where volumes decreased 81% from March 2019 to April 2020. Conclusions: The COVID-19 pandemic in Asia caused significant reductions in cardiovascular diagnostic procedures, particularly in low-income countries. Further studies on effects of COVID-19 on cardiovascular outcomes and changes in care delivery are warranted.

Published
2021

44. Long COVID in Inflammatory Bowel Diseases

Author

Michelangela Mossa, Giovanni Monteleone, Francesco Baldassarre, and Silvia Salvatori

Subjects
Crohn’s disease, medicine.medical_specialty, Crohn's disease, Coronavirus disease 2019 (COVID-19), business.industry, SARS-CoV-2, Public health, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Communication, Acute infection, Inflammatory Bowel Diseases, General Medicine, medicine.disease, University hospital, Ulcerative colitis, digestive system diseases, Internal medicine, medicine, Medicine, biologics, business, ulcerative colitis
Abstract

Background and aims. SARS-CoV-2-infected patients can experience long-lasting symptoms even after the resolution of the acute infection. This condition, defined as Long COVID, is now recognized as a public health priority and its negative impact on the quality of life of the patients could be more relevant in individuals with debilitating pathologies. We here evaluated the frequency of Long COVID in patients with inflammatory bowel diseases (IBD). Methods. IBD patients afferent for scheduled visits to our tertiary referral center at the Tor Vergata University Hospital, Rome, were recruited from 7 September to 22 October 2021. During the visits, patients were investigated about previous COVID-19 infection and the possible development of Long COVID. Results. Fifty-three out of 528 IBD patients (10%) have had a SARS-CoV-2 infection. Of these, 21 patients (40%) developed Long COVID, and asthenia was the more frequent symptom as it occurred in nearly two-thirds of patients. Patients with Long COVID were more frequently females, while other clinical and demographic characteristics did not differ between patients with Long COVID and those without Long COVID. In particular, the IBD relapses occurred with the same frequency in the two groups. Conclusions. Long COVID appears to be common in IBD patients even though it does not influence the IBD course.

Published
2021

45. An Economic Model to Assess Profitable Scenarios of EAF-Based Steelmaking Plants under Uncertain Conditions

Author

Giovanni Mummolo, Giorgio Mossa, Francesco Facchini, and Micaela Vitti

Subjects
electric arc furnace, Basic oxygen steelmaking, Technology, Control and Optimization, economic evaluation, Total cost, steel plant, Energy Engineering and Power Technology, steelmaking process, direct reduction, Steel mill, environmental cost, Electrical and Electronic Engineering, Engineering (miscellaneous), Electric arc furnace, Renewable Energy, Sustainability and the Environment, business.industry, Environmental economics, Investment (macroeconomics), Steelmaking, Economic evaluation, Environmental science, Profitability index, business, Energy (miscellaneous)
Abstract

The steelmaking processes are considered extremely energy-intensive and carbon-dependent processes. In 2018, it was estimated that the emissions from global steel production represented 7–9% of direct emissions generated by fossil fuels. It was estimated that a specific emissions value of 1.8 tCO2 per ton of steel was produced due to the carbon-dependent nature of the traditional blast furnace and basic oxygen furnace (BF-BOF) route. Therefore, it is necessary to find an alternative solution to the BF-BOF route for steel production to counteract this negative trend, resulting in being sustainable from an environmental and economic point of view. To this concern, the objective of this work consists of developing a total cost function to assess the economic convenience of steelmaking processes considering the variability of specific market conditions (i.e., iron ore price, scraps price, energy cost, etc.). To this purpose, a direct reduction (DR) process fueled with natural gas (NG) to feed an electric arc furnace (EAF) using recycled steel scrap was considered. The approach introduced is totally new; it enables practitioners, managers, and experts to conduct a preliminary economic assessment of innovative steelmaking solutions under market uncertainty. A numerical simulation has been conducted to evaluate the profitability of the investment considering the economic and environmental costs. It emerged that the investment is profitable in any case from an economic perspective. On the contrary, considering the environmental costs, the profitability of the investment is not guaranteed under certain circumstances.

Published
2021

46. Uveal Melanoma with Extraocular Spread

Author

Mahmud Mossa-Basha, Ido Didi Fabian, and Andrew W. Stacey

Subjects
business.industry, Melanoma, Cancer research, medicine, medicine.disease, business
Published
2021

47. Sever Oligospermia Treatment with Testicular Sperm Using ICSI

Author

Mohammed Zarqaoui, Wassym R. Senhaji, Modou M. Mbaye, Noureddine Louanjli, Mustafa Zakaria, Hayder A. L. Mossa, Mohammed Ennaji, and Aya Al-Ibraheemi

Subjects
Andrology, endocrine system, Oligospermia, business.industry, urogenital system, medicine, forestry, macromolecular substances, medicine.disease, business, urologic and male genital diseases, Sperm, reproductive and urinary physiology
Abstract

Assisted reproductive technology has been developed significantly throughout the past few years, particularly diagnosing and treating male infertility. Many studies have been performed showing that Intracytoplasmic Sperm Injection (ICSI) is a successful method to attain clinical pregnancy and live birth through impaired spermatozoa characteristics or low sperm count, such as severe oligospermia. Severe oligospermia indicates low sperm count, which in some cases leads to azoospermia. Severe oligospermia can be caused by several factors such as genetics or medication. In search of efficient treatment for couples with Severe oligospermia, numerous retrospective and prospective researches have reported high pregnancy and live birth rates through testicular sperm for men with severe oligospermia and cryptozoospermia with or without high sperm DNA damage. The research showed that the use of testicular sperm in combination with ICSI yielded a high pregnancy rate and live births over another source of sperm, such as ejaculated sperms. Moreover, the use of ICSI in severe oligospermia has shown successful fertilization and pregnancy.

Published
2021

48. Assessment of Therapeutic Response to Statin Therapy in Patients With Intracranial or Extracranial Carotid Atherosclerosis by Vessel Wall MRI: A Systematic Review and Updated Meta-Analysis

Author

Pengyu Zhou, Yuting Wang, Jie Sun, Chengcheng Zhu, Mahmud Mossa-Basha, and Yannan Yu

Subjects
Carotid atherosclerosis, medicine.medical_specialty, intracranial, Statin, vessel wall imaging, medicine.drug_class, Cardiovascular Medicine, Neovascularization, plaque, Internal medicine, medicine, Diseases of the circulatory (Cardiovascular) system, In patient, Prospective cohort study, business.industry, Therapeutic effect, statin, carotid, Meta-analysis, RC666-701, Cardiology, Statin therapy, Systematic Review, medicine.symptom, atherosclerosis, Cardiology and Cardiovascular Medicine, business
Abstract

Background and Aims: Statin therapy is an essential component of cardiovascular preventive care. In recent years, various vessel wall MRI (VW-MRI) techniques have been used to monitor atherosclerosis progression or regression in patients with extracranial or intracranial large-artery atherosclerosis. We aimed to perform a systematic review and meta-analysis on the effects of statin therapy on plaque evolution as assessed by VW-MRI.Materials and Methods: Prospective studies investigating carotid and intracranial atherosclerotic plaques in patients on statin therapy monitored by serial VW-MRI were systematically identified in the literature. The plaque burden and lipid-rich necrotic core (LRNC) volume of carotid plaque and the imaging features of intracranial plaques were extracted and summarized. For studies investigating carotid artery wall volume and LRNC volume, combined estimates were derived by meta-analysis.Results: The study identified 21 studies of carotid plaque and two studies of intracranial plaque. While 16 studies investigating carotid plaques that included 780 patients by High-resolution VW-MRI were included in the meta-analysis. There was no significant change in carotid wall volume from baseline to 12 months. A significant change in LRNC volume was observed at > 12 months compared with baseline (Effect = −10.69, 95% CI = −19.11, −2.28, P < 0.01), while no significant change in LRNC volume at 3–6 months or 7–12 months after statin therapy initiation in 6 studies. Increases in fibrous tissue and calcium and reduction in neovascularization density of the plaque were seen in 2/3 studies (including 48/59 patients), 1/3 studies (including 17/54 patients), and 2/2 studies (including 71 patients) after statin therapy, respectively. Two studies with 257 patients in intracranial atherosclerosis showed that statins could effectively decrease wall volume and plaque enhancement volume.Conclusions: Collective data indicated that statins could potentially stabilize carotid plaques by significantly reducing LRNC with 1 year of therapy as shown on serial carotid VW-MRI. There was no significant decrease in wall volume, which nonetheless indicated that plaque composition changes might be more sensitive to response monitoring than wall volume. It is likely that more sensitive, clinically relevant, and preferably quantitative indicators of therapeutic effects on intracranial vessel plaque morphology will be developed in the future.

Published
2021

49. Determination of Pesticide Residues in Agricultural Soil Samples Collected from Sinai and Ismailia Governorates, Egypt

Author

Abdel-Tawab H. Mossa, May M. Amer, ِAhmed Sayed Morsy Fouzy, Omaima Hussain, Abdel Azim Yassen, Essam Mahmoud Saleh, and Amal S. Hathout

Subjects
Soil test, Pesticide residue, Carbendazim, business.industry, Contamination, Pesticide, Quechers, Toxicology, chemistry.chemical_compound, chemistry, Agriculture, Chlorpyrifos, Environmental science, business
Abstract

Soil contamination by pesticide residues is a major concern due to their high soil persistence and dangerous effect on humans. Therefore, the aim of this study was to detect and determine the concentration of pesticide residues in agricultural soil samples. Agricultural soil samples were collected from three Egyptian governorates and were extracted using the QuEChERS method and analyzed by gas chromatography-mass spectrometry. A total of twenty different pesticide residues (approximately 43% of the tested pesticides) were detected in agricultural soil samples obtained from the three governorates. South Sinai was heavily contaminated by pesticides, with a total concentration of 0.505 mg/kg, followed by Ismailia (0.207 mg/kg) and North Sinai (0.075 mg/kg). According to its use in agriculture, the percentage of pesticide residues detected revealed that 60% of the pesticides were fungicides and 35% were insecticides. In Ismailia governorate, carbendazim was detected in 40% of agricultural soil samples. In North Sinai governorate, boscalid and chlorpyrifos were detected in 66.66% of the soil samples. In South Sinai governorate, thiophanate-methyl, metalaxyl, and carbendazim were detected in 50% of the soil samples. This study revealed the presence of different pesticide residues in Egyptian agricultural soil samples, which can affect agricultural products grown on contaminated agricultural soil. The accumulation of mixtures of pesticide residues in soil constitutes mostly toxic chemicals that are a worldwide environmental issue that must be considered in the agricultural production sustainability assessment. These results could be used as a base for designing environmental maps to cover the pesticide residue contamination that affects agricultural crops in Egypt.

Published
2021

50. The Use of Pointwise Encoding Time Reduction With Radial Acquisition MRA to Assess Middle Cerebral Artery Stenosis Pre- and Post-stent Angioplasty: Comparison With 3D Time-of-Flight MRA and DSA

Author

Mahmud Mossa-Basha, Junxia Niu, Xuemei Gao, Ming Zhu, Jinxia Zhu, Yuncai Ran, Xiaowen Lei, Chengcheng Zhu, Jingliang Cheng, Xiao Wang, Yong Zhang, Feifei Zhang, and Shujian Li

Subjects
Image quality, medicine.medical_treatment, pointwise encoding time reduction with radial acquisition, Cardiovascular Medicine, digital subtraction angiography, Magnetic resonance angiography, Angioplasty, medicine.artery, medicine, Diseases of the circulatory (Cardiovascular) system, magnetic resonance imaging, cardiovascular diseases, Original Research, stent angioplasty, middle cerebral artery, medicine.diagnostic_test, business.industry, Magnetic resonance imaging, Digital subtraction angiography, medicine.disease, eye diseases, nervous system diseases, Stenosis, Stent placement, RC666-701, Middle cerebral artery, cardiovascular system, Cardiology and Cardiovascular Medicine, Nuclear medicine, business, circulatory and respiratory physiology
Abstract

Background and Purpose: 3D pointwise encoding time reduction magnetic resonance angiography (PETRA-MRA) is a promising non-contrast magnetic resonance angiography (MRA) technique for intracranial stenosis assessment but it has not been adequately validated against digital subtraction angiography (DSA) relative to 3D-time-of-flight (3D-TOF) MRA. The aim of this study was to compare PETRA-MRA and 3D-TOF-MRA using DSA as the reference standard for intracranial stenosis assessment before and after angioplasty and stenting in patients with middle cerebral artery (MCA) stenosis.Materials and Methods: Sixty-two patients with MCA stenosis (age 53 ± 12 years, 43 males) underwent MRA and DSA within a week for pre-intervention evaluation and 32 of them had intracranial angioplasty and stenting performed. The MRAs' image quality, flow visualization within the stents, and susceptibility artifact were graded on a 1–4 scale (1 = poor, 4 = excellent) independently by three radiologists. The degree of stenosis was measured by two radiologists independently on DSA and MRAs.Results: There was an excellent inter-observer agreement for stenosis assessment on PETRA-MRA, 3D-TOF-MRA, and DSA (ICCs > 0.90). For pre-intervention evaluation, PETRA-MRA had better image quality than 3D-TOF-MRA (3.87 ± 0.34 vs. 3.38 ± 0.65, P < 0.001), and PETRA-MRA had better agreement with DSA for stenosis measurements compared to 3D-TOF-MRA (r = 0.96 vs. r = 0.85). For post-intervention evaluation, PETRA-MRA had better image quality than 3D-TOF-MRA for in-stent flow visualization and susceptibility artifacts (3.34 ± 0.60 vs. 1.50 ± 0.76, P < 0.001; 3.31 ± 0.64 vs. 1.41 ± 0.61, P < 0.001, respectively), and better agreement with DSA for stenosis measurements than 3D-TOF-MRA (r = 0.90 vs. r = 0.26). 3D-TOF-MRA significantly overestimated the stenosis post-stenting compared to DSA (84.9 ± 19.7 vs. 39.3 ± 13.6%, p < 0.001) while PETRA-MRA didn't (40.6 ± 13.7 vs. 39.3 ± 13.6%, p = 0.18).Conclusions: PETRA-MRA is accurate and reproducible for quantifying MCA stenosis both pre- and post-stenting compared with DSA and performs better than 3D-TOF-MRA.

Published
2021

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