Author: "Shiraz Hashmi" - Searchworks@Jio Institute Digital Library Search Results

55 results on '"Shiraz Hashmi"'

1. Choosing the right equation for calculating indirect LDL-Cholesterol (LDL-C) in adult Pakistani population: Evaluation of seven equations using big data analytics

Author: Syed Bilal Hashmi, Sibtain Ahmed, Shiraz Hashmi, Rasool Bux, and Imran Siddiqui
Subjects: Friedewald, Cardiovascular, LDL-Cholesterol, Pakistani, Medicine (General), R5-920, Chemistry, QD1-999
Abstract: Objective: Cardiovascular diseases (CVDs) are a leading cause of mortality worldwide. Low density lipoprotein cholesterol (LDL-C) contributes to the atherogenic process. However, direct LDL-C (d-LDL) has rarely been estimated by the gold standard method because it is cumbersome and expensive. We aim to evaluate calculated low density lipoprotein (LDL-c) by various equations with reference to directly measured LDL-C in the Pakistani adult population as a cost-effective alternative. Methods: We retrospectively evaluated the validity of seven equations for estimating calculated LDL-C by computing correlation coefficients (r) and Bland Altman plots to assess agreement (mean %) for (d-LDL) and calculated (LDL-c) on all seven equations. Statistical analysis was performed in Stata Statistical Software: Release 17, College Station, TX: StataCorp LLC. Results: We analyzed 247082 direct assays of lipid profiles of adults aged ≥18 years. The mean LDL-C levels computed on Friedewald, de Cordova, Chen, Hattori, Vujovic, Teerakanchana, Sampson equations were 106.8 ± 31.4, 103.7 ± 25.0, 108.6 ± 28.2, 100.1 ± 29.5, 115.2 ± 31.2, 113.1 ± 28.3 and 110.3 ± 30.6 respectively. Friedewald and Hattori equations correlated strongly with direct LDL-C (r = 0.937) for each followed by Sampson (r = 0.935) and Vujovic (r = 0.931). However, the median bias was least for the Friedwald equation (−1.6) compared to the other equations. Conclusion: In contrast to the global literature advocating for the use of newer equations, although the conventional and widely utilized Friedewald equation remains the best alternative for calculated LDL-C estimation in adult Pakistani population.
Published: 2024
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2. Impact of an outpatient palliative care consultation and symptom clusters in terminal patients at a tertiary care center in Pakistan

Author: Wardah Rafaqat, Abbas Raza Syed, Ibrahim Munaf Ahmed, Shiraz Hashmi, Ismat Jabeen, Samina Rajwani, Uqba Qamar, and Muhammad Atif Waqar
Subjects: Palliative care, Symptom clusters, Symptom assessment, End-of-life care, Outpatient consultation, Special situations and conditions, RC952-1245
Abstract: Abstract Background Patients with terminal diseases may benefit physically and psychosocially from an outpatient palliative care visit. Palliative care services are limited in Pakistan. An improved understanding of the symptom clusters present in our population is needed. The first outpatient palliative care center in Karachi, Pakistan, was established at our tertiary care institution. The primary aim of this study was to evaluate the impact of a palliative care outpatient consultation on symptom burden in patients with a terminal diagnosis. The secondary aim was to analyze the symptom clusters present in our population. Methods Patients with a terminal diagnosis referred to our outpatient palliative department between August 2020-August 2022 were enrolled. The Edmonton Symptom Assessment Scale (ESAS) questionnaire was administered at the initial visit and the first follow-up visit at one month. Change in symptom burden was assessed using a Wilcoxon signed ranks test. A principal component analysis with varimax rotation was performed on the symptoms reported at the initial visit to evaluate symptom clusters. The palliative performance scale (PPS) was used to measure the performance status of palliative care patients. Results Among the 78 patients included in this study, the average age was 59 ± 16.6 years, 52.6% were males, 99% patients had an oncological diagnosis, and the median duration between two visits was 14 (Q1-Q3: (7.0, 21.0) days. The median PPS level was 60% (Q1-Q3: 50–70). Overall, ESAS scores decreased between the two visits (6.0 (2.8, 11.0), p
Published: 2023
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3. Validation of postnatal growth and retinopathy of prematurity (G-ROP) screening guidelines in a tertiary care hospital of Pakistan: A report from low-middle income country.

Author: Haroon Tayyab, Adnan Mirza, Roha Ahmed Choudhary, Hassan Jabbar, Mohammad Abbas Motiwala, Sehrish Nizar Ali Momin, Shiraz Hashmi, and Khadijah Abid
Subjects: Medicine, Science
Abstract: Retinopathy of Prematurity (ROP) significantly contributes to childhood blindness globally, with a disproportionately high burden in low- and middle-income countries (LMICs) due to improved neonatal care alongside inadequate ROP screening and treatment facilities. This study aims to validate the performance of Postnatal Growth and Retinopathy of Prematurity (G-ROP) screening criteria in a cohort of premature infants presenting at a tertiary care setting in Pakistan. This cross-sectional study utilized retrospective chart review of neonates admitted to the neonatal intensive care unit (NICU) at The Aga Khan University Hospital, Pakistan from January 2018 to February 2022. The complete G-ROP criteria were applied as prediction tool for infants with type 1 ROP, type 2 ROP, and no ROP outcomes. Out of the 166 cases, 125 cases were included in the final analysis, and remaining cases were excluded due to incomplete data. ROP of any stage developed in 83 infants (66.4%), of whom 55 (44%) developed type 1 ROP, 28 (22.4%) developed type 2 ROP, and 19 (15.2%) were treated for ROP. The median BW was 1060 gm (IQR = 910 to 1240 gm) and the median gestational age was 29 wk (IQR = 27 to 30 wk). The G-ROP criteria demonstrated a sensitivity of 98.18% (95% CI: 90.28-99.95%) for triggering an alarm for type 1 ROP. The G-ROP criteria achieved 100% sensitivity (95% CI: 87.66 to 100%) for type 2 ROP. The overall sensitivity of G-ROP criteria to trigger an alarm for any type of ROP was 98.8% (95% CI: 93.47 to 99.97%). Thus, the G-ROP screening model is highly sensitive in detecting at-risk infants for ROP in a Pakistani tertiary care setting, supporting its use in LMICs where standard screening criteria may not suffice.
Published: 2024
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4. Post-operative visual outcomes based on morphological staging of idiopathic epiretinal membranes on OCT

Author: Sehrish Nizar Ali Momin, Roha Ahmad Choudhary, M. A. Rehman Siddiqui, Shiraz Hashmi, Abdul Sami Memon, and Haroon Tayyab
Subjects: optical coherence tomography, epiretinal membrane, cotton ball sign, vitreoschisis, vitrectomy, Ophthalmology, RE1-994
Abstract: AIM: To evaluate the recently described optical coherence tomography (OCT) based classification of epiretinal membrane (ERM) and its usefulness in predicting the functional outcome. METHODS: A retrospective observational review of OCT scans of patients with the diagnosis of idiopathic ERM was carried out from January 2016 to June 2021. All consecutive images diagnosed with any stage of idiopathic ERM and fulfilled the eligibility criteria were included in the analysis. ERM was identified on OCT scans as a thin hyperreflective layer over the inner layers of retina. OCT scans of patients with ERM who underwent vitrectomy, were independently staged as per the new classification by two independent retinal surgeons to form a consensus on stage. Best corrected visual acuity (BCVA) in logMAR scale and central subfield thickness (CST) on pre- and post-operative spectral domain OCT scans were the variables noted for all patients at the time of diagnosis and at 6 and 12mo follow up visit after undergoing intervention. Partial correlation coefficient was computed between BCVA (logMAR) and CST by ERM stage adjusting by baseline measures. RESULTS: Clinical charts of 74 patients with idiopathic ERM were assessed. Clinically significant improvement in BCVA overtime was observed with significant difference in median visual acuity of patients with Stage II-IV ERM with P0.3). CONCLUSION: Equally significant visual outcomes of patients with ERM staged II-IV and therefore can be counselled for improved visual acuity after surgical removal of ERM with improvement up to 5 lines on Snellen's chart from the baseline.
Published: 2022
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5. Mesenchymal Stem Cell Therapy in Ischaemic Heart Failure: Hope or Hype?

Author: Shiraz Hashmi, Mian Kamal Mustafa, Irfan Khan, Haseeb ur Rehman, Syed Shahabuddin, and Shahid Sami
Subjects: Medicine
Abstract: Ischaemic heart diseases (IHDs) are the leading contributor to mortality worldwide and more than 60% occur in low-to-middle-income countries (LMICs) and 40% of these are specified as premature. Despite notable improvements in treatment options, premature deaths due to IHDs including ischaemic heart failure (IHF) continue to rise in the South Asian population due to prevalent conventional and inherent cardiovascular risk profiles. Stem cell (SCs) therapy has emerged as a potential frontier in regenerative therapy for acute and chronic illnesses. Among various available sources of SCs, the safety and efficacy of mesenchymal stem cells (MSCs) for non-functional cardiomyocytes have been established, but robust evidence necessitates to endorse these preliminary investigations. Little work has been conducted in resource constraints countries and needs immediate attention of all the stakeholders to explore non-conventional cost-effective and sustainable interventions for long term management of IHDs including IHF. Continued...
Published: 2023
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6. Cardiac Children Hospital Early Warning ScoreVersus the Inadequate Oxygen Delivery Index for the Detection of Early Warning Signs of Deterioration

Author: Mujtaba Khalil, MBBS, Qalab Abbas, MBBS, FCPS, Mohammad Kumael Azhar, MBBS, Faiqa Binte Aamir, MBBS, Shiraz Hashmi, MBBS, MSc, Sadaqat Ali, BScN, Tahira Faiz, BScN, and Mahim Akmal Malik, MD
Subjects: Medical emergencies. Critical care. Intensive care. First aid, RC86-88.9
Abstract: OBJECTIVES:. To assess the utility of the Cardiac Children’s Hospital Early Warning Score (C-CHEWS) in the early detection of deterioration. DESIGN:. Single-center longitudinal pilot study. SETTING:. Pediatric cardiac ICU (PCICU), Aga Khan University. INTERVENTIONS:. C-CHEWS and Inadequate Oxygen Delivery (IDO2) Index calculation every 2 hours. PATIENTS:. A total of 60 children (0 d to 18 yr old). MEASUREMENTS AND MAIN RESULTS:. A single-center longitudinal pilot study was conducted at PCICU. All postoperative extubated patients were assessed and scored between 0 and 11, and these scores were then correlated with the IDO2 index data available from the T3 platform. Adverse events were defined as a need for cardiopulmonary resuscitation, or reintubation, and death. A total of 920 C-CHEWS and IDO2 scores were analyzed on 60 patients during the study period. There were 36 males and 24 females, and the median age of the study population was 34 months (interquartile range, 9.0–72.0 mo). Fourteen patients (23.3%) developed adverse events; these included 9 reintubations and 5 cardiopulmonary arrests, resulting in 2 deaths. The area under the curve (AUC) for C-CHEWS scores fell in an acceptable range of 0.956 (95% CI, 0.869–0.992), suggesting an optimal accuracy for identifying early warning signs of cardiopulmonary arrest. Whereas, IDO2 showed no discriminatory power to detect the adverse events with an AUC of 0.522 (95% CI, 0.389–0.652). CONCLUSIONS:. The C-CHEWS tool provides a standardized assessment and approach to deteriorating congenital cardiac surgery patients in recognizing early postoperative deterioration.
Published: 2023
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7. The Glenn procedure: Clinical outcomes in patients with congenital heart disease in pakistan

Author: Muhammad Tariq, Ibrahim Zahid, Shiraz Hashmi, Muneer Amanullah, and Syed Shahabuddin
Subjects: bidirectional glenn shunt, cavopulmonary anastomosis, congenital heart disease, fontan completion, glenn shunt, single ventricle, Anesthesiology, RD78.3-87.3, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: Objectives: Congenital heart defects (CHDs) affect more than 40,000 children annually in Pakistan. Approximately 80' of patients require at least one surgical intervention to achieve a complete or palliative cardiac repair. The Glenn shunt, a palliative procedure is established between superior vena cava (SVC) and the right pulmonary artery to provide an anastomosis offering minimal risk to patients with univentricular heart disease. The aim of this study was to assess the clinical outcomes of the Glenn shunt procedure in patients with complex congenital heart diseases in a developing country like Pakistan. Materials and Methods: A retrospective chart review was conducted on patients who underwent a bidirectional Glenn shunt procedure from July 2006 to June 2017. Data were collected on a structured questionnaire and analyses performed on SPSS version 22. Frequencies and percentages were computed for categorical variables while mean and standard deviation for continuous variables where appropriate. Results: A total of 79 patients underwent the Glenn shunt procedures. The median age was 1.9 years and 54.5' were male. Tricuspid atresia was the primary diagnosis in 30.4' of the patients. Common morbidities included arrhythmias (6.3'), pleural effusion (8.9'), wound infection (3.8'), pneumonia (2.5'), and seizures (3.8'); reopening was required in 2.5' of the patients and 8.8' were readmitted within 30 days of index operation. There were three (3.8') deaths in total. Conclusions: Bidirectional Glenn shunt procedure can be performed safely in patients with ideal characteristics as the first stage palliation and has favorable results with acceptable rate of complications.
Published: 2021
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8. Temporary epicardial pacing wires in isolated Coronary Artery Bypass Graft: Necessity or force of habit?

Author: Mian Mustafa Kamal, Abdul Ahad Sohail, Majid Osman, Shiraz Hashmi, Asma Altaf Hussain Merchant, Muhammad Musaab Munir, and Hasanat Sharif
Subjects: Medicine
Abstract: Objectives: To determine the frequency of Temporary epicardial pacing wires usage and its predictors in the immediate postoperative period in isolated coronary artery bypass graft surgery. Method: The longitudinal study was conducted at the Aga Khan University Hospital, Karachi, from September 2019 to August 2020, and comprised adult patients of either gender who underwent isolated coronary artery bypass graft in the Department of Cardiothoracic Surgery. Demographic, peri-operative and post-operative Temporary Epicardial Pacing Wires use data was extracted from patient's files and the institutional electronic database. Logistic regression models were built to explore predictors of Temporary epicardial pacing wires usage. Data was analysed using SPSS 22. Results: Of the 322 cases evaluated, 27(8.4%) required the use of Temporary Epicardial Pacing Wires. Mean age of the patients requiring temporary epicardial pacing wires was 66.3±8.9 years compared to 58.7±8.9 years in those who did not require it (p
Published: 2022
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9. Mesenchymal Stem Cell Therapy in Ischaemic Heart Failure: Hope or Hype?

Author: null Shiraz Hashmi, null Mian Kamal Mustafa, null Irfan Khan, null Haseeb ur Rehman, null Syed Shahabuddin, and null Shahid Sami
Subjects: General Medicine
Abstract: Ischaemic heart diseases (IHDs) are the leading contributor to mortality worldwide and more than 60% occur in low-to-middle-income countries (LMICs) and 40% of these are specified as premature. Despite notable improvements in treatment options, premature deaths due to IHDs including ischaemic heart failure (IHF) continue to rise in the South Asian population due to prevalent conventional and inherent cardiovascular risk profiles. Stem cell (SCs) therapy has emerged as a potential frontier in regenerative therapy for acute and chronic illnesses. Among various available sources of SCs, the safety and efficacy of mesenchymal stem cells (MSCs) for non-functional cardiomyocytes have been established, but robust evidence necessitates to endorse these preliminary investigations. Little work has been conducted in resource constraints countries and needs immediate attention of all the stakeholders to explore non-conventional cost-effective and sustainable interventions for long term management of IHDs including IHF. Continued...
Published: 2023

10. Validation of Task-Specific Rating Scale for Open Balloon Catheter Arterial Embolectomy: An Assessor-Blinded Quasi-Experimental Pilot Study

Author: Nadeem Ahmed Siddiqui, Shiraz Hashmi, Iram Naz, and Ziad Sophie
Subjects: General Medicine
Published: 2022

11. Prognostic implication of size on outcomes of pituitary macroadenoma: a comparative analysis of giant adenoma with non-giant macroadenoma

Author: Muhammad Faraz, Raghib, Adnan, Salim, Meher, Angez, Sanam Mir, Ghazi, Shiraz, Hashmi, Muhammad Bilal, Tariq, Fauzan, Hashmi, Saad Bin, Anis, Muhammad Shahzad, Shamim, Asra, Tanwir, and Syed Ather, Enam
Subjects: Adenoma, Cancer Research, Treatment Outcome, Neurology, Oncology, Humans, Pituitary Neoplasms, Neurology (clinical), Prognosis, Retrospective Studies
Abstract: Due to the differences in size and invasiveness when compared to non-giant macroadenomas (nGPAs), giant pituitary adenomas (GPAs) are considerably harder to resect. This study aimed to differentiate GPAs from nGPAs, based on the presenting complaints, surgical approaches, peri- and postoperative outcomes.We retrospectively analyzed cases of pituitary macroadenomas that underwent surgical resection at a tertiary care hospital. GPAs were tumors greater than 4 cm in the largest dimension, while nGPAs were tumors smaller than 4 cm. 55 GPA patients and 70 nGPA patients from 2006 to 2017 were included. Demographic, perioperative, and post-operative outcomes were evaluated. Group comparisons for continuous variables were made using an independent t-test/Mann Whitney U test and categorical data was analyzed on Chi-square/Fisher exact test; a p-value of 0.05 was considered significant.Visual deterioration was the most common complaint, reported by 61.4% of nGPA patients and 81.8% of GPA patients. The mean extent of gross total resection was 47.1% in nGPA patients and 18.2% in GPA patients (p = 0.001). After surgery, tumor recurrence was seen in 1.4% of nGPA patients and 18.2% of GPA patients (p = 0.001). First re-do surgery was required in 5.7% of nGPA patients and 25.5% of GPA patients (p = 0.004).Compared to nGPAs, GPAs are more likely to present with a higher number of preoperative symptoms, and lesser chances of gross total tumor resection. GPAs are also associated with a higher rate of recurrence, which results in more follow-up procedures. Larger, multi-center longitudinal studies need to be done to validate these findings.
Published: 2022

12. Smartphone-based fundus imaging for evaluation of Retinopathy of Prematurity in a low-income country: A pilot study

Author: Roha Ahmad Choudhary, Shiraz Hashmi, and Haroon Tayyab
Subjects: General Medicine
Abstract: Objectives: To evaluate the feasibility of a novel and simple smart phone-based Retinopathy of Prematurity (ROP) screening approach in a resource-constrained setting. Methods: This cross-sectional validation study was conducted at the Department of Ophthalmology and Neonatal Intensive Care Unit (NICU) of The Aga Khan University Hospital, Pakistan, from January 2022 to April 2022. A total of 63 images of eyes with active ROP (stage-1, 2, 3, 4 and/or plus or pre-plus disease) were included in this study. The stage of ROP was documented by the principal investigator using an indirect ophthalmoscope and retinal images were obtained using this novel technique. These images were shared with two masked ROP experts who rated the image quality and determined the stage of ROP and presence of plus disease. Their reports were compared with the initial findings reported by principal investigator using indirect ophthalmoscope. Results: We reviewed 63 images for image quality, stage of ROP and presence of plus disease. There was significant agreement between the gold standard and the Rater-1 and 2 for the presence of plus disease (Cohen’s kappa was 0.84 and 1.0) and the stage of the disease (Cohen’s kappa 0.65 and 1.0). There was significant agreement between the Rater for presence of plus disease and any stage of ROP (Cohen’s κ: 0.84 and 0.65 for plus disease and any stage of the ROP, respectively). Rater-1 and 2 rated 96.83% and 98.41% images as excellent / acceptable respectively. Conclusions: High quality retinal images can be captured with a smartphone and 28D lens without using any additional adapter equipment. This approach of ROP screening can form basis of telemedicine for ROP in resource constrained areas. doi: https://doi.org/10.12669/pjms.39.3.7053 How to cite this: Choudhary RA, Hashmi S, Tayyab H. Smartphone-based fundus imaging for evaluation of Retinopathy of Prematurity in a low-income country: A pilot study. Pak J Med Sci. 2023;39(3):638-643. doi: https://doi.org/10.12669/pjms.39.3.7053 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Published: 2023

13. GP-ELM-RNN: Garson-pruned extreme learning machine based replicator neural network for anomaly detection

Author: Tanvir Ahmad and Adeel Shiraz Hashmi
Subjects: General Computer Science, Artificial neural network, Computer science, business.industry, Computer Science::Neural and Evolutionary Computation, 020206 networking & telecommunications, 02 engineering and technology, Task (computing), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Anomaly detection, Hidden layer, Artificial intelligence, Layer (object-oriented design), business, Extreme learning machine
Abstract: Replicator Neural Network (RNN) is a popular algorithm for anomaly detection, but finding optimal number of hidden layers and then finding optimal number of neurons in each hidden layer is quite a challenging and time-consuming task. Extreme Learning Machines (ELM) are neural networks with single-hidden layer but the learning algorithm is different and faster than back-propagation. ELM-based RNNs solve our problem of determining the number of hidden layers and the learning algorithm is also faster than gradient-descent based RNN. The problem of identifying the optimal number of neurons in the hidden layer can be solved by Garson algorithm. In this work, the author propose an optimal Replicator Neural Network which is optimized using ELM learning and Garson algorithm for anomaly detection. The experimental results show that the proposed method is fast as well as highly accurate.
Published: 2022

14. A Comparison of AKIN, KDIGO, and RIFLE Definitions to Diagnose Acute Kidney Injury and Predict the Outcomes after Cardiac Surgery in a South Asian Cohort

Author: Sonia Yaqub, Shiraz Hashmi, Muhammad Kashif Kazmi, Arzina Aziz Ali, Tasneem Dawood, and Hasanat Sharif
Subjects: Male, Urology, Humans, Female, Hospital Mortality, Acute Kidney Injury, Cardiac Surgical Procedures, Middle Aged, Kidney, Cardiology and Cardiovascular Medicine, Aged, Retrospective Studies
Abstract: Background: Acute kidney injury (AKI) after cardiac surgery is associated with an increased mortality and morbidity. Different definitions for AKI have been used such as Acute Kidney Injury Network (AKIN), Kidney Disease: Improving Global Outcomes (KDIGO), or risk, injury, failure, loss, end-stage kidney disease (RIFLE). Each of these definitions has their own benefits and limitations for predicting the degree of AKI and adverse outcomes following cardiac surgery. This study was aimed to compare the three AKI definitions to diagnose AKI and their predictive ability for mortality and morbidity after isolated coronary artery bypass surgery (CABG) in a South Asian cohort. Material and Methods: A single-center retrospective review was conducted on 1,508 patients having undergone isolated CABG surgery from January 2015 to January 2019. AKI was assessed on three definitions, and comparative receiver operating characteristics curves were built against the outcomes to assess discriminative power of each. Results: Mean age of participants was 59.43 (±1.12) years, predominantly males (82.6%). Patients with AKI were elder, more likely to be diabetic and hypertensive. AKI by any definition occurred in 58.7% (885/1,508) patients. Frequency of AKI was 508 (33.7%), 517 (34.4%), and 871 (57.8%) on AKIN, KDIGO, and RIFLE criteria, respectively. The proportion of patients with RIFLE-risk 619 (41%) was greater compared with AKIN stage 1 (342 [22.7%]) and KDIGO stage 1 (330 [21.9%]), while for stages 2 and 3 the proportions were comparable across the three systems. Area under the curve (AUC) for 30-day mortality for AKIN was (0.786, [95% CI: 0.764–0.806]), KDIGO: (0.796, [95% CI: 0.775–0.816]) and for RIFLE (0.844, [95% CI: 0.825–0.862]). AUC for overall morbidity was in undesirable ranges (i.e., >0.5–≤0.7) for all three definitions. Conclusion: In a South Asian cohort, performance of AKIN and KDIGO criteria was comparable to diagnose AKI, while RIFLE definition, though overestimated the incidence of AKI particularly stage 1, and had an excellent discriminatory power to predict mortality compared to other two definitions.
Published: 2022

15. AKU Giant Pituitary Adenoma Score: A Novel Scoring System to Predict the Outcomes of Surgery for Giant Pituitary Adenomas

Author: Syed A, Enam, Sanam M, Ghazi, Muhammad F, Raghib, Adnan, Salim, Shiraz, Hashmi, Fauzan, Hashmi, Saad B, Anis, Muhammad Bilal, Tariq, Meher, Angez, Shahzad, Shamim, and Ahsan A, Khan
Subjects: General Engineering
Abstract: Background No scoring system is available to predict the extent of resection of giant pituitary adenomas (GPAs) based on magnetic resonance imaging (MRI) parameters. We developed a novel AKU Giant Pituitary Adenoma (AGPA) score and assessed the predictive ability of the scoring system concerning the extent of resection of GPAs. Methodology We retrospectively collected data of patients presenting with GPAs and used our scoring system to assess the surgical resection of these tumors. The Lundin-Pederson (ABC/2) method was used to calculate the pre- and post-resection tumor volume. The relationship between the extent of resection and the AGPA score was assessed using linear regression. The AGPA score considered the tumor's extension into various planes. The maximum total score was 9. Results The scoring system was applied to 45 patients with GPA who underwent surgical resection. The mean resected tumor volume (%) was 82.0 ± 16.7, and the overall mean AGPA score was 4.2 ± 0.8. The pairwise correlation between the resected tumor volume and the overall AGPA scores showed a strong inverse association (r = -0.633, p0.001). A significant difference was detected between the estimated scores of 3 and 5 and 4 and 5 (p0.001). Conclusions AGPA score is inversely related to the extent of the tumor to be resected, which would help surgeons predict the amount of tumor resection possible as well as predict the difficulty of surgery and plan optimal preoperative patient counseling. In addition, it can predict if staging and a transcranial approach are required.
Published: 2022

16. The Glenn procedure: Clinical outcomes in patients with congenital heart disease in pakistan

Author: Muneer Amanullah, Shiraz Hashmi, Muhammad Usman Tariq, Ibrahim Zahid, and Syed Shahabuddin
Subjects: Heart Defects, Congenital, Male, medicine.medical_specialty, lcsh:Diseases of the circulatory (Cardiovascular) system, Vena Cava, Superior, Heart disease, Pleural effusion, Heart Ventricles, Pulmonary Artery, Anastomosis, Fontan Procedure, lcsh:RD78.3-87.3, single ventricle, Humans, Medicine, bidirectional glenn shunt, glenn shunt, Pakistan, Tricuspid atresia, Stage (cooking), Retrospective Studies, cavopulmonary anastomosis, business.industry, fontan completion, Infant, General Medicine, medicine.disease, Right pulmonary artery, congenital heart disease, Surgery, Pneumonia, Treatment Outcome, Anesthesiology and Pain Medicine, Glenn procedure, lcsh:Anesthesiology, lcsh:RC666-701, Original Article, Cardiology and Cardiovascular Medicine, business
Abstract: Objectives: Congenital heart defects (CHDs) affect more than 40,000 children annually in Pakistan. Approximately 80% of patients require at least one surgical intervention to achieve a complete or palliative cardiac repair. The Glenn shunt, a palliative procedure is established between superior vena cava (SVC) and the right pulmonary artery to provide an anastomosis offering minimal risk to patients with univentricular heart disease. The aim of this study was to assess the clinical outcomes of the Glenn shunt procedure in patients with complex congenital heart diseases in a developing country like Pakistan. Materials and Methods: A retrospective chart review was conducted on patients who underwent a bidirectional Glenn shunt procedure from July 2006 to June 2017. Data were collected on a structured questionnaire and analyses performed on SPSS version 22. Frequencies and percentages were computed for categorical variables while mean and standard deviation for continuous variables where appropriate. Results: A total of 79 patients underwent the Glenn shunt procedures. The median age was 1.9 years and 54.5% were male. Tricuspid atresia was the primary diagnosis in 30.4% of the patients. Common morbidities included arrhythmias (6.3%), pleural effusion (8.9%), wound infection (3.8%), pneumonia (2.5%), and seizures (3.8%); reopening was required in 2.5% of the patients and 8.8% were readmitted within 30 days of index operation. There were three (3.8%) deaths in total. Conclusions: Bidirectional Glenn shunt procedure can be performed safely in patients with ideal characteristics as the first stage palliation and has favorable results with acceptable rate of complications.
Published: 2021

17. Temporary epicardial pacing wires in isolated Coronary Artery Bypass Graft: Necessity or force of habit?

Author: null Mian Mustafa Kamal, null Abdul Ahad Sohail, null Majid Osman, null Shiraz Hashmi, null Asma Altaf Hussain Merchant, null Muhammad Musaab Munir, and null Hasanat Sharif
Subjects: Adult, Habits, Pacemaker, Artificial, Cardiac Pacing, Artificial, Humans, Stroke Volume, General Medicine, Longitudinal Studies, Coronary Artery Bypass, Middle Aged, Ventricular Function, Left, Aged
Abstract: Objectives: To determine the frequency of Temporary epicardial pacing wires usage and its predictors in theimmediate postoperative period in isolated coronary artery bypass graft surgery.Method: The longitudinal study was conducted at the Aga Khan University Hospital, Karachi, from September2019 to August 2020, and comprised adult patients of either gender who underwent isolated coronary arterybypass graft in the Department of Cardiothoracic Surgery. Demographic, peri-operative and post-operativeTemporary Epicardial Pacing Wires use data was extracted from patient's files and the institutional electronicdatabase. Logistic regression models were built to explore predictors of Temporary epicardial pacing wires usage.Data was analysed using SPSS 22.Results: Of the 322 cases evaluated, 27(8.4%) required the use of Temporary Epicardial Pacing Wires. Mean age ofthe patients requiring temporary epicardial pacing wires was 66.3±8.9 years compared to 58.7±8.9 years in thosewho did not require it (p
Published: 2022

18. 1073: C-CHEWS VERSUS IDO2 INDEX FOR DETECTION OF EARLY WARNING SIGNS OF DETERIORATION AFTER CHD SURGERY

Author: Mujtaba Khalil, Qalab abbas, Muhammad Kumael Azhar, Faiqa Binte Aamir, Shiraz Hashmi, Saqadat Ali, and Mahim A Malik
Subjects: Critical Care and Intensive Care Medicine
Published: 2022

19. Maturation and Patency Rates in Basilic Transposition Arteriovenous Fistula Under Regional Versus General Anesthesia: A Single-Center, Retrospective, Observational Study

Author: Waryam Muhammad Saleh, Zia Ur Rehman, and Shiraz Hashmi
Subjects: business.industry, maturation, Fistula, General Engineering, Arteriovenous fistula, Retrospective cohort study, Perioperative, medicine.disease, Single Center, basilic transposition arteriovenous fistula, Regional anesthesia, Anesthesiology, Nephrology, Statistical significance, Anesthesia, Cardiac/Thoracic/Vascular Surgery, medicine, business, Complication, regional anesthesia, patency, complication rates
Abstract: Background Basilic transposition arteriovenous fistula (BT AVF) is a viable option for dialysis-dependent patients, which can be performed under either general or regional anesthesia. Regional anesthesia is reported to cause vascular dilatation during the perioperative period, leading to improved fistula success. Regional anesthesia is also considered safe as compared to general anesthesia in terms of hemodynamic stability. Limited and conflicting data are available comparing regional versus general anesthesia in terms of fistula maturation and patency. We aimed to compare the maturation, one-year patency rates, and complication rates in patients undergoing single-stage BT AVF in regional versus general anesthesia. Methods This retrospective observational study was conducted on patients undergoing single-stage BT AVF from January 2016 to December 2019. Patients were divided into regional (RA) vs. general anesthesia (GA) groups and compared in terms of maturation, one-year patency, and perioperative complication rates. Results Out of 152 patients, 110 (72.37%) were in GA while 42 (27.63%) were in the RA group. Elderly, female, diabetic, ischemic heart disease, and American Society of Anesthesiologists (ASA) class IV patients were more in the RA group. Other comorbid and vascular access-related factors were comparable between the groups. A trend toward higher maturation rates (97.6% vs. 92.1%) and one-year patency rates (62.5% vs. 56.6%) was observed in the RA vs. GA group, however, the difference did not attain statistical significance, p=0.359 and p=0.327, respectively. The rate of access abandonment was higher in the GA group (43.4% vs. 37.5%). The most prevalent cause of abandonment was death in the RA group while it was access failure in the GA group. Overall complication rates were comparable between both groups (20.2 % vs. 17.5%, p=0.816). Conclusion Regional anesthesia is a useful technique with potentially improved maturation and patency rates. Nevertheless, an assumed benefit of regional anesthesia in terms of anesthesia-related complications was not observed.
Published: 2021

20. Comparative Trends in Ischemic Heart Disease Admissions, Presentation and Outcomes Due to the COVID-19 Pandemic: First Insights From a Tertiary Medical Center in Pakistan

Author: Shiraz Hashmi, Saulat H. Fatimi, Mian Arsam Haroon, A.A. Noorali, Humza Thobani, Saad Mallick, Osman Faheem, Yasir Khan, Nida Zahid, Asma Altaf Hussain Merchant, Sara Iqbal, and Sardar Shahmir B Chauhan
Subjects: medicine.medical_specialty, Acute coronary syndrome, medicine.medical_treatment, Cardiology, Disease, Revascularization, acute coronary syndrome, Coronary artery disease, symbols.namesake, Internal medicine, Angioplasty, medicine, Fisher's exact test, business.industry, Unstable angina, General Engineering, developing countries, medicine.disease, myocardial ischemia, covid-19, Cardiac/Thoracic/Vascular Surgery, Mann–Whitney U test, symbols, Public Health, business, coronary artery disease
Abstract: Introduction COVID-19 has manifested a striking disarray in healthcare access and provision, particularly amongst patients presenting with life-threatening ischemic heart disease (IHD). The paucity of data from low-middle income countries has limited our understanding of the consequential burden in the developing world. We aim to compare volumes, presentations, management strategies, and outcomes of IHD amongst patients presenting in the same calendar months before and during the COVID-19 pandemic. Methods We conducted a retrospective cross-sectional analysis at the Aga Khan University Hospital, one of the premier tertiary care centres in Pakistan. Data were collected on all adult patients (>18 years) who were admitted with IHD (acute coronary syndrome (ACS) and stable angina) from March 1 to June 30, 2019 (pre-COVID) and March 1 to June 30, 2020 (during-COVID), respectively. Group differences for continuous variables were evaluated using student t-test or Mann-Whitney U test. The chi-squared test or Fisher test was used for categorical variables. Values of p less than 0.05 were considered statistically significant. P-value trend calculation and graphical visualization were done using STATA (StataCorp, College Station, TX). Results Data were assimilated on 1019 patients, with 706 (69.3%) and 313 (30.7%) patients presenting in each respective group (pre-COVID and during-COVID). Current smoking status (p=0.019), admission source (p
Published: 2021

21. FAAD: A Self-Optimizing Algorithm for Anomaly Detection

Author: Tanvir Ahmad and Adeel Shiraz Hashmi
Subjects: General Computer Science, Computer science, Anomaly detection, Algorithm
Abstract: Anomaly/Outlier detection is the process of finding abnormal data points in a dataset or data stream. Most of the anomaly detection algorithms require setting of some parameters which significantly affect the performance of the algorithm. These parameters are generally set by hit-and-trial; hence performance is compromised with default or random values. In this paper, the authors propose a self-optimizing algorithm for anomaly detection based on firefly meta-heuristic, and named as Firefly Algorithm for Anomaly Detection (FAAD). The proposed solution is a non-clustering unsupervised learning approach for anomaly detection. The algorithm is implemented on Apache Spark for scalability and hence the solution can handle big data as well. Experiments were conducted on various datasets, and the results show that the proposed solution is much accurate than the standard algorithms of anomaly detection.
Published: 2019

22. In Vitro Comparison of Various High-Speed Vitrectomy Machines Using Dual Blade Cutters

Author: saima jamil, Shiraz Hashmi, and Haroon Tayyab
Subjects: business.industry, medicine.medical_treatment, pars plana, General Engineering, Egg albumin, vitrectomy, Vitrectomy, 030204 cardiovascular system & hematology, infusion pressure, vitreous, 03 medical and health sciences, Ophthalmology, 0302 clinical medicine, Area under curve, duty cycle, Medicine, business, 030217 neurology & neurosurgery, Biomedical engineering
Abstract: Objectives The objective of this study is to compare various dual blade vitrectomy cutters for their efficiency in an in vitro setting. Methods In this in vitro experimental study, we compared various vitrectomy systems including EVA (Dutch Ophthalmic Research Center, Zuidland, The Netherlands), REVOLUTION (Optikon 2000, Inc., Rome, Italy), and OS4 (Oertli Instrumente AG, Berneck, Switzerland) in terms of efficiency in vitreous cutting and aspiration for various vitreous substitutes. These substitutes included water, chicken egg albumin, and goat vitreous. We only used 23-gauge dual blade cutters across all platforms to maintain uniformity. The cutting and aspiration efficiency was measured across various cut and vacuum settings of vitrectomy machines and measured as mass aspirated in a given time. Data analysis included comparing the amount of mass aspirated by these machines at preset cut and vacuum settings. Results Scatter plots showed a comparable mass of water aspirated by the EVA and REVOLUTION at 1000 to 5000 cuts per minute at a constant vacuum of 500 mm Hg whereas OS4 aspirated lesser mass at similar settings. Same trends were noted for goat vitreous for EVA and REVOLUTION but aspirated mass of albumin fluctuated widely across various platforms. At peak machine settings, REVOLUTION showed superiority across all three vitreous models due to its higher peak settings. The area under curve (AUC) analysis showed no significant differences among machines for water and goat vitreous at comparable settings but results were fluctuating for egg albumin. Conclusion Employing higher cut rates for dual blade cutters results in better efficiency of vitrectomy machines.
Published: 2021

23. Paradigm shift in the surgical training: The era of innovation, simulation and beyond

Author: Syed, Shahabuddin, Shiraz, Hashmi, Yasir, Khan, and Shahid Ahmed, Sami
Subjects: Humans, Learning, Computer Simulation, Clinical Competence, Curriculum
Abstract: This is an era of transformation of surgical education and training. Modern methods of training are being introduced at a rapid pace and are being adopted in surgical practice not only to improve the outcomes and patient satisfaction, but also to provide an opportunity to develop a new well-structured training curriculum by integrating both traditional and modern approaches to teach and learn surgical skills. Various surgical simulators are in use as training aids and are constantly undergoing further refinement and development. To achieve a smooth transition in surgical training to modern methods, a structured programme has to be developed and validated to bridge the gaps in terms of safety, efficiency and ethics during the training process.
Published: 2021

24. Optical Coherence Tomography based indices in predicting functional outcome of macular hole surgery: A retrospective chart review

Author: Sana Jahangir, Haroon Tayyab, Rehman Siddiqui, and Shiraz Hashmi
Subjects: medicine.medical_specialty, genetic structures, medicine.medical_treatment, vitrectomy, Vitrectomy, Optical coherence tomography, Full-thickness macular hole, Medicine, External limiting membrane, Macular hole, full thickness macular hole, macular hole index, optical coherence tomography, medicine.diagnostic_test, Receiver operating characteristic, business.industry, General Medicine, medicine.disease, Confidence interval, eye diseases, external limiting membrane, Surgery, medicine.anatomical_structure, Calipers, Original Article, sense organs, business
Abstract: Objectives: The objective of this study was to assess the utility of novel macular hole indices of Optical Coherence Tomography (OCT) and predicting the functional outcome of surgery. Methods: This was a retrospective chart review of 28 eyes who underwent surgery for idiopathic Full Thickness Macular Hole (FTMH) at The Aga Khan University Hospital (AKUH), Karachi from January 2016 to March 2020. Data of preoperative OCTs were recovered from data server of OCT machine. Measurements of the pre-operative OCTs were calculated using caliper function of OCT software by two independent technicians. Parameters included Macular Hole Index (MHI), Traction Hole Index (THI), Hole Form Factor (HFF) and Diameter Hole Index (DHI) were recorded. Receiver operating characteristic (ROC) curve was used to evaluate the performance of DHI, THI, HFF and MHI for improved BCVA after surgery, by looking at sensitivity, specificity and area under curve (AUC). P-value of
Published: 2021

25. Timing of surgery following SARS-CoV-2 infection: an international prospective cohort study

Author: Dmitri, Nepogodiev, Joana Ff Simoes, Elizabeth, Li, Maria, Picciochi, James, C Glasbey, Glauco, Baiocchi, Ruth, Blanco-Colino, Daoud, Chaudhry, Ehab, Alameer, Kariem, El-Boghdadly, Funmilola, Wuraola, Dhruva, Ghosh, Rohan, R Gujjuri, Ewen, M Harrison, Herman, Lule, Haytham, Kaafarani, Mohammad, Khosravi, Irmgard, Kronberger, Sezai, Leventoğlu, Harvinder, Mann, Kenneth, A Mclean, Mengistu Gebreyohanes Mengesha, Maria Marta Modolo, Faustin, Ntirenganya, Lisa, Norman, Oumaima, Outani, Riinu, Pius, Peter, Pockney, Ahmad Uzair Qureshi, April Camilla Roslani, Sohei, Satoi, Catherine, Shaw, Aneel, Bhangu, Omar, M Omar, Waheed-Ul-Rahman, Ahmed, Leah, Argus, Alasdair, Ball, Edward, P Bywater, Amanpreet, Brar, Brett, E Dawson, Irani, Duran, Muhammed, Elhadi, Conor, S Jones, Sivesh, K Kamarajah, James, M Keatley, Samuel, Lawday, Ella, J Marson, Riinu, Ots, Irène, Santos, Elliott, H Taylor, Isobel, M Trout, Chris, Varghese, Mary, L Venn, William, Xu, Irida, Dajti, Arben, Gjata, Salah Eddine Oussama Kacimi, Luis, Boccalatte, Daniel, Cox, Philip, Townend, Felix, Aigner, Irmgard Elisabeth Kronberger, Elgun, Samadov, Amer, Alderazi, Kamral, Hossain, Greg, Padmore, Gabrielle van Ramshorst, Ismaïl, Lawani, Anis, Cerovac, Samir, Delibegovic, Gustavo Mendonça Ataíde Gomes, Igor Lima Buarque, Muhammad, Gohar, Mihail, Slavchev, Chukwuemeka, Nwegbu, Arnav, Agarwal, Janet, Martin, Joshua, Ng-Kamstra, Maricarmen, Olivos, Wenhui, Lou, Dong-Lin, Ren, Jose Andres Calvache, Carlos, J Perez Rivera, Ana Danic Hadzibegovic, Tomislav, Kopjar, Jakov, Mihanovic, Pablo Mijahil Avilés Jiménez, Nikolaos, Gouvas, Jaroslav, Klat, René, Novysedlák, Nicolas, Amisi, Peter, Christensen, Alaa, El-Hussuna, Sylvia, Batista, Eddy, Lincango-Naranjo, Sameh, Emile, Danilo Alfonso Arévalo Sandoval, Hailu, Dhufera, Samuel, Hailu, Mengistu, G Mengesha, Joonas, H Kauppila, Alexis, P Arnaud, Zaza, Demetrashvili, Markus, Albertsmeier, Hans, Lederhuber, Markus, W Löffler, Daniel Kwesi Acquah, Bernard, Ofori, Stephen, Tabiri, Symeon, Metallidis, Georgios, Tsoulfas, Maria-Lorena, Aguilera-Arevalo, Gustavo, Recinos, Tamás, Mersich, Dániel, Wettstein, Gabriele, Kembuan, Peiman Brouki Milan, Mohammad Hossein Khosravi, Masoud, Mozafari, Ahmed, Hilmi, Helen, Mohan, Oded, Zmora, Gaetano, Gallo, Francesco, Pata, Gianluca, Pellino, Yuki, Fujimoto, Naoto, Kuroda, Mohamad, K Abou Chaar, Faris, Ayasra, Ildar, Fakhradiyev, Intisar Hisham Said Hamdun, Jang, Jin-Young, Mohammad, Jamal, Lina, Karout, Aiste, Gulla, Fanjandrainy, Rasoaherinomenjanahary, Luc Hervé Samison, Iran Irani Durán Sánchez, Diana Samantha Gonzalez, Laura, Martinez, María José Martínez, Alejandra, Nayen, Antonio Ramos-De la Medina, Jade, Nunez, Pueya Rashid Nashidengo, Rakesh, Shah, Ashish Lal Shrestha, Pascal, Jonker, Schelto, Kruijff, Milou, Noltes, Pieter, Steinkamp, Deborah, Wright, Lukman, Abdur-Rahman, Adesoji, Ademuyiwa, Adewale, Adisa, Babatunde, Osinaike, Justina, Seyi-Olajide, Omolara, Williams, Emmanuel, Williams, Sofija, Pejkova, Zainab Al Balushi, Raza, Sayyed, Mustafa Abo Mohsen, Sadi, A Abukhalaf, Moises, Cukier, Hugo, Gomez-Fernandez, Sebastian Shu Yip, Ximena Paola Vasquez Ojeda, Marie Dione Sacdalan, Piotr, Major, José, Azevedo, Miguel, F Cunha, Ahmad, Zarour, Eduard-Alexandru, Bonci, Ionut, Negoi, Sergey, Efetov, Viktor, Kochetkov, Andrey, Litvin, Jc Allen Ingabire, Georges, Bucyibaruta, Ntirenganya, Faustin, Sosthene, Habumuremyi, Alphonsine, Imanishimwe, Haragirimana Jean de Dieu, Emmanuel, Munyaneza, Isaie, Ncogoza, Abdourahmane, Ndong, Dejan, Radenkovic, Min Hoe Chew, Frederick, Koh, James, Ngu, Arpád, Panyko, Uros, Bele, Jurij Aleš Košir, Hassan, Daoud, Ana Maria Minaya Bravo, Umesh, Jayarajah, Dakshitha, Wickramasinghe, Mohammed Elmujtba Adam Essa Adam, Martin, Rutegård, Malin, Sund, Michel, Adamina, Eleftherios, Gialamas, Karoline, Horisberger, Muhammad, Alshaar, Abel, Huang, Varut, Lohsiriwat, Shane, Charles, Haithem, Jlassi, Arda, Isik, Hervé Monka Lekuya, Slava, Kopetskyi, Hayder, Alsaadi, Sattar, Alshryda, Osaid, Alser, Brittany, Bankhead-Kendall, Kerry, Breen, Hassan, Mashbari, Fernando Bonilla Cal, Hamza, Al-Naggar, Mayaba, Maimbo, Dennis, Mazingi, Tom, Abbott, Melika, Akhbari, Ruth, Benson, Shivam, Bhanderi, Bruce, Biccard, Edward, Caruana, Sohini, Chakrabortee, Reema, Chapatwala, Ainhoa, Costas-Chavarri, Andreas, K Demetriades, Anant, Desai, Salomone Di Saverio, Thomas, Drake, John, Edwards, Jonathan, Evans, Marco, Fiore, Samuel, Ford, Christina, Fotopoulou, Alexander, Fowler, Kaori, Futaba, Ian, Ganly, Harelimana Grace James, Ewen, Griffiths, Alessandro, Gronchi, Peter, Hutchinson, Gabriella Yael Hyman, Joseph, Incorvia, Ritu, Jain, Michael, Jenkinson, Tabassum, Khan, Stephen Richard Knight, Angelos, Kolias, Søren, Kudsk-Iversen, Tsun Yu Kwan, Elaine, Leung, Julio, Mayol, Siobhan, Mckay, John, G Meara, Emily, Mills, Susan, Moug, Akshay, Patel, Roberto, Perinotti, Henry, E Rice, Keith, Roberts, Andrew, Schache, Richard, Shaw, Neil, Smart, Matthew, Stephens, Grant, D Stewart, Ella, Teasdale, Peter, Vaughan-Shaw, Raghavan, Vidya, Naomi, Wright, Natalie, Zimmelman, Ervis, Agastra, Dariel, Thereska, Sergio Martin Lucchini, Veronica, Laudani, Carina, Chwat, Ivana Ines Pedraza Salazar, Diana Alejandra Pantoja Pachajoa, Agustin, Duro, José Alfredo Calderón Arancibia, Giuliana, D'Aulerio, Nagendra, Dudi-Venkata, Natasha, Egoroff, Shebani, Farik, Natalie, Lott, Jana-Lee, Moss, Sarah, Rennie, Lorwai, Tan, Uyen Giao Vo, David, Watson, David, Watters, Tim, Bright, Paul, Hollington, Xuanyu, Zhou, Hidde, M Kroon, Anthony, Farfus, John, Barker, Eleanor, Watson, Sean, Stevens, Haider, Latif, Amanda Caroline Dawson, Alwin, Chuan, Vijayaragavan, Muralidharan, Enoch, Wong, Travis, Ackermann, Maurizio, Pacilli, Russell, Hodgson, Alexander, Heriot, Peter, Choong, Wendy, Brown, Surjit, Lidder, Justin, Yeung, Luke, Traeger, Guillermo, Regalo, Ralph, Gourlay, Sarit, Badiani, Cherry, Koh, Soni, Putnis, Fayza, Haider, Ashrarur Rahman Mitul, Niels, Komen, Bert, Dhondt, Serge, Cappeliez, Manon, Pigeolet, Martijn, Schoneveld, Jasper, Stijns, Wouter, Oosterlinck, Nicolas, Flamey, Cyrille, Kpangon, Mouhamed, Agbadebo, Sèmèvo Romaric Tobome, Aldo Vieira Barros, Samuel Aguiar Júnior, Heloisa Galvão do Amaral Campos, Jefferson, Gross, Felipe José Fernandez Coimbra, Luiz Paulo Kowalski, Fabiana, Makdissi, Suely, Nakagawa, Joao Pedreira Duprat Neto, Jose Guilherme Vartanian, Guilherme, Yazbek, Stenio, C Zequi, Ronald, Flumignan, Natalia, Jaworska, Angela, Dell, Harsha, Shanthanna, Abdollah, Behzadi, Carolyn, Nessim, Michelle, Mozel, Pascal, St-Germain, Crispin, Russell, Gary, Groot, Najib, Safieddine, Duminda, Wijeysundera, Antoine, Eskander, Sami, Chadi, Shawn, Mackenzie, Alana, Flexman, Fernando, Heredia, Julio, Villanueva, Sofia, Waissbluth, Roberto, Macchiavello, Mario, I Escudero, Tyare, Fuentes, Ximena, Mimica, Dinimo Bolivar Saenz, Lina, Caicedo, Juan Pablo Alzate, Joaquin, Luna, Nestor Fabian Pedraza Alonso, Camilo Ortiz Silva, Juliana, Rodriguez, Liliana, Silva-Igua, Martha Luz Torres, Lina María Trujillo, Albaro José Nieto Calvache, Julián, Balanta-Melo, Rafael, Figueroa-Casanova, Oscar-Julián, García-Montoya, Carlos Andres Marulanda Toro, Marcela Velez Botero, Maria Clara Mendoza Arango, Eneida Diaz Martinez, Valentina Gutiérrez Perdomo, Emileth, Montenegro, Julia, Rodriguez-Abreu, Dolores, Mejía, Galal, Abouelnagah, Sameh, Shehata, Ahmed Hossam Eldin Fouad Rida, Ramy, A Hassan, Mahmoud, M Saad, Mohamed Reda Loaloa, Badr, Mostafa, Mohamed, Qassem, Mohamed, Fahmy, Hesham, Abozied, Ahmed, Y Azzam, Sherief, Ghozy, Asser, Sallam, Ahmed, Shehta, Mohamed, Abdelkhalek, Rehab, Samaka, Amr, Morsy, Ahmed Elshawadfy Sherif, Abraham, Negussie, Tigist, Fisseha, Kibruyisfaw, Shumbash, Metasebia, Abebe, Seid Mohammed Yasin, Yemisirach Bizuneh Akililu, Abebe, Megersa, Teshome, Tefera, Melatework, Assefa, Bahru, Atnafu, Bereket, Tsegaye, Yoseph Solomon Bezabih, Silamlak, Sisay, Kebebe, Bekele, Moa, Jira, Habtamu, Derilo, Eyueal, Degefa, Anteneh, Tadesse, Melkamu, Nidaw, Elise, Sarjanoja, Sylvie, Testelin, Sophie, Boucher, Lionel, Jouffret, Zaher, Lakkis, Alban Zarzavadjian Le Bian, Luke, Harper, Marc Danguy des Déserts, Benoît, André, Karem, Slim, Romain, Verhaeghe, Andrea, Police, Edouard, Girard, Alexandre, Chebaro, Armande Subayi Nkembi, Laurent, Arnalsteen, Quentin, Ballouhey, Diane, Mege, Clement, Jeandel, Emilie, Duchalais, Pierre-Alban, Bouche, Gilles, Manceau, Célia, Crétolle, Erik, Hervieux, Noémie, Girard, Agathe, Seguin-Givelet, Sebastien, Gaujoux, Belinda De Simone, Matthieu, Boisson, Damien, Bergeat, Fabien, Fredon, Francesco, Nappi, Radwan, Kassir, Aurélien, Scalabre, Federico, Migliorelli, Anne-Cecile, Ezanno, Barbara, Seeliger, Charlotte, Vaysse, Helene, Charbonneau, Vincent, Misrai, Olivier, Abbo, Martina Aida Angeles, Laurent, Brunaud, Ali, Modabber, Sebastian, Wolf, Carsten, Kamphues, Philipp, Höhn, Tim, R Glowka, Alexander Christopher Rokohl, Ulrich, Bork, Georg, Fluegen, Raymund, E Horch, Andrea, Schmedding, Andreas, Schnitzbauer, Helge, Eberbach, Daniel, Schlager, Fritz, Spelsberg, Lena, Keppler, Andreas, Hecker, Susanne, Wolfer, Ulrich, Ronellenfitsch, Christine, Nitschke, Christian, Peiper, Ibrahim, Hakami, Stefan, Welter, Karine, Nikolaieva, Andreas, Roth, Judith, Lindert, Konstantinos, Gousias, Anke, Rissmann, Valerie Catherine Linz, Nuh, Rahbari, Marie-Claire, Rassweiler-Seyfried, Anna Eleonora Gut, Jens, Gempt, Daniel, Reim, Arthur, Wagner, Alexander, M Keppler, Mircea Gabriel Stoleriu, Tim, Saier, Josef, Stadler, Julia Christina Kaiser, Stefan, M Brunner, Karin, Pfister, Jonas, Herzberg, Kai, Nowak, Tobias, Reinhard, Gregor, A Stavrou, Alfred, Königsrainer, Christian, Konrads, Markus, Quante, Simon, Laban, Silke von Pusch, Markus, Hirschburger, Johannes, Doerner, Armin, Wiegering, Ekaterini Christina Tampaki, Alitza Gutiérrez Ruiz, Alejandra, Rodas, Ana Lucía Portilla, Jacqueline, Carrera, Amalia Barrios Duarte, Megan, Lowey, Sabrina, Barillas, Atul, Suroy, Dhaivat, Vaishnav, Raghunandan Gorantlu Chowdappa, Irappa, Madabhavi, Dhananjaya, Bhat, Sunil Kumar Venkatappa, Sumit, Thakar, Kavitha, Jain, Aruna, Kumar, Manoj, Nagar, Tushar, Mishra, Arunkumar, Sekar, Anand, Gupta, Lileswar, Kaman, Madhivanan, Karthigeyan, Manjul, Tripathi, Ashwin, Rammohan, Sudheer Othiyil Vayoth, Anupama, Rajanbabu, Anbukkani, Subbian, Rahul, Gupta, Monish, Raut, Nissi, Evelyn, R Lavanya Kannaiyan, Anil, Matai, Sanjeev, Misra, Vishal, Bhende, Sathish, Muthu, Indranil, Ghosh, Abhishek, Sharma, Ankur, Bajaj, Shiv, Rajan, Gaurav, Agarwal, Pranay, Pawar, Philip, Alexander, M Vijayakumar Vijayakumar, Zeeshan, Hameed, Badareesh, L, Navneet Kumar Chaudhry, Lipika, Baliarsing, Satish, Dharap, Amruta, Kulkarni, Yuvaraja, Thyavihally, Rahul Deo Sharma, S Pramesh, C, Rajesh, Soni, Surya Kumar Dube, Shilpa, Sharma, Harvinder, Singh, Lovenish, Bains, Rahul, Ghodke, Ashwani, Kumar, Vivek, Sodhai, Suvendu, Maji, Somprakas, Basu, Chandrashekhar, Mahakalkar, Ravi, Kannan, Asif, Mehraj, Ranganath, N, Ashish, Phadnis, Yadev, I, Alfie, Kavalakat, Rohin, Mittal, Karthik Chandra Vallam, Hamed, Akhavizadegan, Esmaeil Rezghi Maleki, Naser Yousefzadeh Kandevani, Hilary, Ikele, Catherine, Mcnestry, Christina, Fleming, Stephen, O'Brien, Sami Abd Elwahab, Niall, Davis, Mohsen, Javadpour, Brendan, Mcdonnell, Clare, O Connor, Jarlath, Bolger, Cillian, Clancy, Stefanie, M Croghan, Noel, Donlon, Carolyn, Cullinane, Ben, Creavin, Muheilan, Muheilan, Helen, Earley, Syed Mohammad Umar Kabir, Muhammad, Fahadullah, Éanna, Ryan, Tara, Connelly, Daisuke, Hashimoto, Majdi Ali Alqudah, Amer, Alajalen, Rand, Y Omari, Abdulrahman, Qasem, Yazan, Alawneh, Amer, Ahmad, Omar, Aladawi, Bourhan, Alrayes, Hanan, Haidar, Shatha, Husain, Faisal, Qassem, Adnan, Sumadi, Ala'a Abu Salhiyeh, Balqees Mahmoud Al-Manaseer, Zaid, Alsunna, Hazim, Ra'Ed, Faten Reyad Bani Hamad, Amro, Abuleil, Elmi Ahmed Mohamed Jimaale, Marah, Abu-Mehsen, Noor, Olaywah, Omar, Wafi, Hazim, Ababneh, Luai, Abu-Ismail, Almu'Atasim, Khamees, Ahmad, Alkhatib, Raikhan, Bolatbekova, Mukhtar, Kulimbet, Talgat, Nurgozhin, Timur, Saliev, Baurzhan, Zhussupov, Ydyrys, Almabayev, Dilyara, Kaidarova, Khalil, Tamoos, Ahmed, Aqeelah, Alsnosy Abdullah Khalefa Mohammed, Faraj Al Maadany, Ghadah, Alkadeeki, Milad, Gahwagi, Wafa, Aldressi, Mohamed, Amnaina, Arowa Hassan Abdulrahman Alansari, Akram, Alkaseek, Ghozlan, Yagoub, Anass Ben Amer, Marwa, Salem, Ayman, Almugaddami, Dania, Burgan, Mohammed, Abdelkabir, Khayriyah, Alshareef, Rayet Al Islam Ben Jouira, Ayman, Meelad, Ahmad, Bouhuwaish, Sumayya Essayah Dwaga, Houda, Khalifa, Bushray, Almiqlash, Taha, Suliaman, Mohammed, Alawami, Fras, Elhajdawe, Hajir, Aboazamazem, Ibrahim, Ellojli, Ahmed, Msherghi, Ismail Ali Saleh, Mohammed, Alayan, Marcel Didier Ndayishyigikiye, Akutu, Munyika, Philipp, Plarre, David, W Borowski, Cameron, Wells, Rebecca, Teague, Brodie, Elliott, David, Kieser, Omar, Mohyieldin, Nick, Mcintosh, Cheyaanthan, Haran, Jasmin, King, Jeong, Ha, Matthew James McGuinness, Opeoluwa, Adesanya, Julius, Olaogun, Akinola, Akinmade, Kefas, Bwala, Peter, Agbonrofo, Akinwale, Afolabi, Usang, Usang, Sebastian, Ekenze, Samson, Olori, Taiwo Akeem Lawal, Abiodun, Okunlola, Stephen, Kache, Danjuma, Sale, Lofty-John, Anyanwu, Chukwuma, Okereke, Musliu Adetola Tolani, Venko, Filipce, Lazar, Todorovic, Sotir, Stavridis, John George Massoud, Sareyah, Alsibai, Rizwan, Sultan, Humera Naz Altaf, Abu Bakar Hafeez Bhatti, Shahzad Hussain Waqar, Aliya, Aziz, Asad Ali Kerawala, Lajpat, Rai, Mariyah, Anwer, Aiman, Tariq, Bushra, Ayub, Sami Ullah Niazi, Muhammad Yasir Naseem, Muhammad Zeeshan Sarwar, Muhammad Imran Khokhar, Imdad Ahmad Zahid, Haroon Javaid Majid, Nabila, Talat, Muhammad, Asif, Muhammad Hamid Chaudhary, Umer, Farooq, Siddique, Ahmad, Waleed, Mabood, Syed Imran Bukhari, Muhammad, Tariq, Eesha, Yaqoob, Saad, Javed, Muhammad Usman Malik, Hassan Nawaz Yaqoob, Glenda Marina Falcon Pacheco, Robinson Mas Melendez, Arazzelly Del Pilar Paucar 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Michael, Grechenig, Ricarda, Gruber, Jörg, Hutter, Tarkan, Jäger, Oliver, Koch, Michael, Lechner, Lisa, Manzenreiter, Franz, Mayer, Iris, Muehlbacher, Jaroslav, Presl, Daniel, Rezaie, Philipp, Schredl, Martin, Varga, Michael, Weitzendorfer, Angela, Wimmer, Eberhard, Brunner, Michael de Cillia, Michaela, Gruber, Martin, Grünbart, Elmar, Heinrich, Hannes, Hoi, Vanessa, Kemmetinger, Christof, Mittermair, Victoria, Mosshammer, Christian, Obrist, Peter, Paal, Judith, Roesch, Elisabeth, Russe, Tobias, Schaetz, Jan, Schirnhofer, Karl, Schwaiger, Gottfried, Wechselberger, Helmut, Weiss, Maximilian, Lanner, Alf-Dorian, Binder, Thomas, Gürtler, Marcus, Fink, Daniel, Reichhold, Radoslava, Stoyanova, Klara, Beitl, Martin, H Bernardi, Philip, Datler, Christopher, Dawoud, Alex, Farr, Philipp, Foessleitner, Christoph, Grimm, Felix, Harpain, Mir Alireza Hoda, Simone, Holawe, Marlene, Kranawetter, Johannes, Ott, Alexandra, Perricos, Maximilian, Pesta, Robert, Pillerstorff, Christian, Reiterer, Stefan, 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Mohammed Shadrul Alam, Akm Khairul Basher, Shahnoor, Islam, M Nazmul Islam, S, Sabbir, Karim, Muntasir, Faisel, Sadia, Khan, Iftekhar Ibne Mannan, Nawshin, Nazia, Malissa, Bentham, Sasha, Corbin, Alex, Doyle, Asha, Eastmond, Amelia, Haynes, Margaret, O'Shea, Emil, Phillips, Keisha, Walkes, Evgeniy, L Artyushkov, Mark, L Kaplan, Vladislav, Straltsov, Yauheniya, Litvina, Alexei, Lyzikov, Victor, E Tihmanovich, Mafalda, Borges, Tim, Brits, Nicolas De Hous, Stefan De Wachter, Tomas, Menovsky, Xavier, Mortiers, Dorien, Vermeulen, Nils, Vleminckx, Dirk, Ysebaert, Julie, Bontinck, Danny, Bulthé, Ricky, Rasschaert, Anne-Sophie Van Haver, Koen Van Belle, Laurence, Verstraeten, Manon, Vounckx, Sébastien, D'Ulisse, Yasmine De Bruyne, Badih El Nakadi, Tessely, Heloise, Matteo, Luisetto, Sotirios, Marinakis, Maxime, Maton, Claire, Viste, Elke Van Daele, Mathieu, Vandeputte, Marc, Duinslaeger, Daniel, Jacobs-Tulleneers-Thevissen, Yanina, Jansen, Ward, Janssens, Rastislav, Kunda, Nouredin, Messaoudi, Michael, Ruyssers, Ellen Van Eetvelde, Marian, Vanhoeij, Jef Van den Eynde, Raf Van den Eynde, Ahmed, M Chaoui, Marcellin, Akpla, Souliath, Lawani, Hermann, Agossou, Hulrich Aouagbe Behanzin, Covalic, Bokossa, Hubert, Dewanon, Hugues, Yome, Alassan, Boukari, Oswald, Gbehade, Labissi Francois Amossou, Francis, Dossou, Tatjana, Barišić, Miran, Boras, Zdrinko, Brekalo, Ivana Čuljak Blagojević, Ana, Damjanović, Vedran, Dragisic, Ana Dugandžić Šimić, Filip, Gunaric, Martin, Kajic, Darko, Knežević, Tanja, Krešić, Valentina, Lasić, Ludvig, Letica, Vlatka, Martinovic, Iva, Mikulic, Josip, Miskovic, Hrvoje, Pehar, Pejana, Rastović, Irena, Sesar, Violeta, Šetka-Čuljak, Martina, Soljic, Dejan, Tiric, Vajdana, Tomić, Anja, Vasilj, Igor, Hudic, Renato Aguera Oliver, Felipe Azenha Lamonica, Jorge De Medeiros, Henrique Donizetti Bianchi Florindo, Rodolfo Jose Favaretto Filho, Fernanda Costa Pereira, Rodrigo, Rodrigues, Antonio Antunes Rodrigues Junior, Fernanda Ruiz de Andrade, Maisa, Salvetti, Débora Schalge Campioto, Mayra Tuboi Lamonica, Gustavo, Urbano, Ricardo Villela Prado, Nivaldo, Alonso, Carlos Ferreira Dos Santos, Cristiano, Tonello, Robinson Esteves Pires, Ricardo Fernandes Rezende, Igor, Reis, Fernando Augusto Lima Marson, Erick Pires Ferreira, Camila Vantini Capasso Palamim, Marcelo, Brandao, Tiago Henrique de Souza, Rebecca, Maunsell, Alfeu Accorsi Neto, Guilherme, Accorsi, Murilo Francisco Fernandes, Camila, Machareth, Barbara Viegas Moura, Vanessa, Dias, Luciano, Guarienti, Lia Regina de Sampaio, Cristiano, Vendrame, Tatiane Amorim Coelho, Karin, Becker, Andre, Dias, Camila Girardi Fachin, Monica Maria Gomes-da-Silva, Isabela, Moraes, Amanda, Pinto, Adriano Seikiti Stychnicki, Nathalia Siqueira Julio, José Mauro Dos Santos, Humberto Fenner Lyra Junior, João Carlos Costa de Oliveira, Tiago Rafael Onzi, Marlus Tavares Gerber, Filipe Osni Coelho, Janaína Carla da Silva, Carolina, Panis, Daniel, Rech, Melissa, Avelino, Lais, Botacin, Mateus Capuzzo Gonçalves, Amanda Lira Dos Santos Leite, Laercio, Pol-Fachin, Tainá Santos Bezerra, Alcimar Lavareda Dos Santos Junior Alcimar, Robson, Amorim, Maria Eduarda Bellotti Leão, João José Corrêa Bergamasco, Cintia Cardoso Pinheiro, Rubem Alves Da Silva Neto, Elaine Francisca De Araújo, Lilian, Guimaraes, Tatiana, Liborio-Kimura, Isabelle Melo da Camara, Victor Ripardo Siqueira, Juan, Rodriguez, Jeancarllo, Silva, Rubem Alves Silva Junior, Cláudio, Cardoso, Andre, Guimaraes, Wislene Sarajane Moreira Alves, Agna Soares Da Silva Menezes, Marcelo, Araujo, Kattiucy, Brito, Josie Marcelle Lira Albuquerque, Jairo Alberto Dussan-Sarria, Andressa, Souza, Andre Ricardo Stüker, Tiago, Bresciani, Luciana Cadore Stefani, Leandro Totti Cavazzola, Tainá, Costa, Matheus, Dasqueve, Gustavo De Bacco Marangon, Otávio Ritter Silveira Martins, Josy, Rodrigues, Guilherme Roloff Cardoso, Brasil Silva Neto, Tilaê, Soares, Aline, Zanella, Lucas Torelly Filippi, Enilde Eloena Guerra, Ricardo Pedrini Cruz, Antonio Nocchi Kalil, Gustavo, Laporte, Moacyr, Salem, Murilo de Lima Brazan, Caio Antonio de Campos Prado, Elaine Christine Dantas Moises, Hilda Satie Suto, Alice Gadotti Yasuda, Ana Carolina Tagliatti Zani, Roberto Cardoso Cardoso Dos Santos, Geraldo, Duarte, Edwaldo Edner Joviliano, Carolina Lourenço Gomes Dos Santos, Silvana Maria Quintana, Edwin, Tamashiro, Fabiana Cardoso Pereira Valera, Marília Veccechi Bijos Zaccaro, Isis, Andreotti, Leonardo, Lima, Wilson Salgado Jr, Alonço da Cunha Viana Júnior, Lana, Moutinho, Cora Pichler de Oliveira, Isabela Trindade Martins, Isabela Vieira Toledo, Marco Antonio Correa Guimaraes-Filho, Rodrigo, Arrivabeno, Claudio Bovolenta Murta, Danniel Frade Said, Jose Pontes Junior, Felipe Guimarães Pugliesi, Paulo, Gregorio, Alessandro, Mariani, Fabio, Minamoto, Juliana Lourenço da Silva, Bruno, Muller, Caio, Zanon, Vladimir, C Carvalho, Ana Lucia Munhoz Lima, Priscila, R Oliveira, Jorge Dos Santos Silva, Mariana Faccini Teixeira, Marco, Kulcsar, Leandro, Matos, Kamilla Schmitz Nunes, Joel Abdala Junior, Emne, Abdallah, Genival Barbosa Carvalho, Igor Correia de Farias, Cassia da Silva, Fabio Fernando Eloi Pinto, Luciana, Facure, André, Godoy, Bruna, Kupper, Fernanda, Leite, Matheus de Melo Lôbo, Henrique, Mantoan, Narimã, Marques, Tomas, Marques, João Paulo Medici, Silvio Melo Torres, Katheryne Merlos Garcia, Rafael Ribeiro Meduna, Ana Carolina Scintini Herbst, Silvana Soares Dos Santos, Bruna Tirapelli Gonçalves, Marcelo, Antonini, Carolina, Brienze, José Francisco Farah, Rodrigo, Gonçalves, Vinicius, Machado, Luis Roberto Nadal, Danilo Nadal Rodrigues, Adrieli, Pansani, Maria Luiza Rocha, Marcelo, Simonsen, Daniela, Tsuchiya, Rafaela, Vasques, Jorge, Amorim, Ana Alyra Carvalho, Rebeca, Correia, Brena Costa Dos Santos, Henrique Jorge Guedes Neto, Luis, Nakano, Mariana, Pereda, Vladimir, Vasconcelos, Jamile Barakat Awada, Guilherme, Gava, Tiago Riuji Ijichi, Nam Jin Kim, Rafael, Nunes, Fabio, Pinto, Thiago Henrique Sigoli Pereira, Gustavo Jardim Volpe, Arthur, Gatti, Caroline, Nardi, Ramon, Oliva, Layze Braz de Oliveira, Herica Emilia Félix de Carvalho, Ivonizete Pires Ribeiro, Gabriel Renan Soares Rodrigues, Álvaro Francisco Lopes de Sousa, Michel, Chebel, Paulo Henrique de Sousa Fernandes, Marcelo Augusto Faria Freitas, Juliano Rodrigues da Cunha, Zeenia, Ather, Dobromir, Dimitrov, Emil, Filipov, Elitsa, Gyokova, Ivelina, Ilieva, Tsvetomir, Ivanov, Martin, Karamanliev, Vasil, Neykov, Boyko, Atanasov, Nikolay, Belev, Paolina, Kamenova, Kaloyan, Tonev, Tsanko, Yotsov, Evguenia, Hristova, Kolyo, Spassov, Tsanko, Tsankov, Dragomir, Dardanov, Petar, Gribnev, Manol, Sokolov, James, Brown, John, Tanyi, Heather, Hurdle, Anthony, Maclean, Michael, Sander, Salim Al Riyami, Krittika, Bali, David, Bigam, Khaled, Dajani, Mehran, Anvari, Rafik, Bolis, David, Choi, Susan, Ellis, Michael, Gupta, Wael, Hanna, Dennis, Hong, Cynthia, Horner, Lea, Luketic, Peter, Moisiuk, Yaron, Shargall, Hilda, Alfaro, Nawar, Alkhamesi, Laura, Allen, Muriel, Brackstone, Eunice, Chan, Davy, Cheng, Jason, Chui, Nelson, Gonzalez, Brent, Lanting, S Danielle MacNeil, Robert, Mayer, Jacob, Mcgee, Mahesh, Nagappa, Nicholas, Power, Agya, Prempeh, Mehdi, Qiabi, Hassan, Razvi, Emil, Schemitsch, Herman, Sehmbi, Ushma, Shah, Yamini, Subramani, Edward, Vasarhelyi, Kelly, Vogt, Homer, Yang, Ali Ghorbani Abdehgah, Saba, Balvardi, Liane, Feldman, Julio Flavio Fiore Jr, Melissa, Hanson, Brent, Hopkins, Pepa, Kaneva, Lawrence, Lee, Julia, Leonard, Jad, Abou-Khalil, Andre, Martel, James, Stevenson, Susan, Lee, Richard, Merchant, Samuel, Avoine, Laurence, Belanger, Mathieu, Belanger, Etienne, Belzile, Anne-Sophie, Blais, Sofia, Boucher-Kovalik, Cindy, Boulanger-Gobeil, Etienne, Cardinal, Pierre-Olivier, Champagne, Jonathan, Cloutier, Simon, Corriveau-Durand, Mathieu, Cote, Maxime, Cote, Mathilde, Côté, Valérie, Courval, Suzanne, Demers, Christine, Desbiens, Mehdi El Ouazzani, Karine, Girard, Ève-Marie, Girard, Karo, Gosselin, Helene, Khuong, Nathalie, Labrecque, Eve-Lyne, Langlais, Audrey, Larouche, Andréane, Lavallée, Madeleine, Lemyre, Sarah, Maheux-Lacroix, Melissa, Marien, Patrick, Marin, Julie, Mauger, Genevieve, Milot, Sylvie, Nadeau, Sebastien, Nguyen, Mélinda, Paris, Stéphane, Pelet, Marie, Plante, Carole, Plante, Frederic, Pouliot, Marie Claude Renaud, Mathilde, Sarlabous, Isabelle, Schmit, Raphaël, St-Germain, Brian, Johnston, Nicole, Labine, Amit, Persad, Hong, Pham, Melissa, Wood, Riordan, Azam, Amit, Atrey, Andrew, Beckett, Daniel, Cohen, Sunit, Das, Julian, Daza, Cheryl, Dunkerton, Yosef, Ellenbogen, Ciara, Hanley, Sorcha, Kellett, Amir, Khoshbin, Karim, Ladha, Amanda, Mcfarlan, Spencer, Montgomery, Janneth, Pazmino-Canizares, Hrishikesh, Suresh, Ravleen, Vasdev, Maira, Ahmed, Fred, Gentili, Aristotelis, Kalyvas, Matthias, Millesi, Can, Sarica, Taariq, Shaikh, Leslie, St, Jacques, Raha, Tabasinejad, Gelareh, Zadeh, Marvin, Hsiao, Nicole, Jedrzejko, Peter, Black, Claire, Broe, Charlotte, Dandurand, Rebecca, Grey, Philemon, Leung, Andrew, Lindberg, Juan Mata Gutierrez, Kelly, Mayson, Adam, Meneghetti, Drew, Phillips, John, Street, Carolina Carvajal Calderón, Daniel Alejandro Donoso Pizarro, Esteban, Fernández, Ángela, Molero, Nastassja, Mutarello, Jorge Núñez Lucic, Katherine Ochoa Gaete, Catalina Ruiz Lopez, Rina, Sepúlveda, Camila, Ulloa, Mauricio, Barreda, Matias, Dallaserra, Matías Günther Wood, Mauricio Sandoval Tobar, Francisco, Garcia-Huidobro, Jimena, Dona, Carolina Soto Diez, Daniel, Igor, Javier, Mena, José Tomás Reyes, Catalina Arredondo Soto, Jose, Campos, Javier, Gonzalez, Barbara, Rivera, Jaime, Altamirano-Villarroel, David, Cohn, Luis Marin de Amesti, Pedro, Recabal, Camilo, Sandoval, Bruno Catoia Fonseca, Monica, Contador, Andres, Hodali, Camila, Pincheira, Andrea Ramos Mantilla, Claudio Salas Garrido, Janina, Torres, Marco, Valenzuela, Zehua, Chen, Jiankun, Hu, Jin, Tao, Kun, Yang, Yuexin, Zhang, Yuan, Chen, Wang, Cunchuan, Wah, Yang, Xueli, Bai, Tingbo, Liang, Tao, Ma, Ning, Pu, Hanlin, Yin, Camilo, Caicedo, Diego Felipe Tellez Beltran, Alejandro, Escobar, Carolina Perez Granados, Lisbeth Alexandra Urueña Pinzon, Carlos, Bonilla, Diana, Santana, Oscar, Serrano, Andrea, Garcia, Fernando Giron Luque, Nasly, G Patino-Jaramillo, Laura Giselle Contreras Baquero, Nestor Augusto Muñoz Botero, Jhoana Andrea Murillo Castellanos, Andrea Juliana Vega Calvera, Lina, M Acosta Buitrago, Maria Paz Bohórquez-Tarazona, Paulo Andrés Cabrera Rivera, J Felipe Casas, Valeria Cormane Alfaro, Julian, Corso, Bayron, Guerra, Albert Franz Guerrero-Becerra, Akram Kadamani Abiyomaa, Felix Ramon Montes, Manuel Santiago Mosquera Paz, Camilo Andrés Polanía Sandoval, Natalia, Quintana, Carlos Fernando Roman Ortega, Carlos, Santacruz, Manuela, Téllez, Camilo Alejandro Velandia Sánchez, Fernando, Arias-Amézquita, Luis Felipe Cabrera Vargas, Natalia Cortes Murgueitio, Elkin, Escorcia, Kemel Ahmed Ghotme Ghotme, Jorge Luis Gomez-Mayorga, Alvaro Felipe Guerrero Vergel, Gabriel, Herrera-Almario, Eduardo, Londono-Schimmer, Juan, A Mejia, Guillermo, Monsalve, Camilo, Rodriguez, Juan Nicolas Rodriguez Niño, Luis Martín Rodríguez Ortegón, Daniel, Sanabria, Andres, Alvarez, Arnulfo, Andrade, Javier, Ardila-Montealegre, David, Baquero, Edgar Mauricio Barrios Vidales, María Alejandra Caicedo Giraldo, María Camila Carvajal, Maria, Castillo, Maria Carolina Castillo Florez, María Angelica Cendales, Danny Conde Monroy, Henry, Cortes, Mario, Daniel, Jairo De la Peña, Elena Leonor Delgado-Nieto, Hernando, Espitia, Carlos Figueroa Avendaño, Edgar Oswaldo Hernandez Burgos, Andres, Isaza-Restrepo, German, Londono, Margarita Maria Maldonado, Andrea, Montenegro, Juan Carlos Navarro, Jorge, Navarro-Alean, Katherine Parra Abaunza, Eliana, Pulido, Erika, M Ramírez Amaya, Carlos Eduardo Rey Chaves, Natalia Andrea Rivera Rincón, William Mauricio Riveros Castillo, Lizeth Rodriguez Sanchez, Wilson, Rubiano, Maria, Russi, Juan Carlos Sabogal Olarte, Javier Mauricio Salgado Tovar, Maria Juliana Sanchez, David Mauricio Solano Varela, Paula Torres Gomez, Marcial, Trillos, Ana María Vargas Patiño, Felipe, Vargas-Barato, Juan Pablo Villate Leon, María Alejandra Wagner Useche, Jesus, Acosta, Adriana, Almeciga, Luis Becerra Mendez, Rafael Jose Beltran, Ana, Bonilla, Miguel, Buitrago, Marino, Cabrera, Pedro Hernando Calderon Quiroz, Diego, Camacho-Nieto, Carlos Andrés Carvajal Fierro, Sergio Cervera Bonilla, Sandra, Diaz, Helena, Facundo, Jorge, Forero, Mauricio Garcia Mora, Karena Victoria Garcia Tirado, German Fabian Godoy Perez, Felipe, Gonzalez, Oscar, Guevara, Jairo Alonso Hernandez, David Ricardo Herrera Mora, Juan David Lalinde, Carlos, Lehmann, Eduardo Leon Llanos, Byron Eduardo Lopez De Mesa Lopez, Ivan, Mariño, Monica, Medina, Raúl Eduardo Pinilla Morales, Angela, Puerto, Andrea, Quintero-Ortíz, Juliana Rendón Hernández, Elio Fabio Sánchez Cortés, Alvaro Eduardo Sánchez Hernández, Raul, Suarez, Oscar, Suescun, Marco, Vanegas, Rodolfo, Varela, Jorge Luis Velez Bernal, David, Viveros-Carreño, Daniela Camargo Gómez, Angelica, Fletcher, Abel, Merchan, Euler Javier Burbano Luna, Indira, Cujiño, Mauricio Velasquez Galvis, Lina Maria Vergara Galliadi, Orlando Abonia Gonzalez Abonia Gonzalez, Maria Fernanda Acuna Saravia, Roberto, Arroyave, Jose Maria Barreto Angulo, Francisco Javier Bonilla-Escobar, Uriel, Cardona, Ivan Castañeda Giacometto, José Luis Castillo, Diego Fernando Castillo-Cobaleda, Diego Jose Caycedo Garcia, Brenda Marcela Coll Tello, Juan Carlos Dueñas-Ramirez, Oscar Andres Escobar Vidarte, Luis, Figueroa, Herney, Garcia-Perdomo, Alden, Gomez, Laura, Gomez, Alejandro, Gomez, Ana María Grande-Gil, David, Guarin, Natalia, Guzman, Enrique Herrera Castañeda, Marisol, Hinaoui, Anuar Armando Idrobo Escobar, Christian Kammerer Kammerer, Sergio, Leon, Carlos Antonio Llanos Lucero, Angie, López, Alexander Maximiliano Martinez-Blanco, Antonio José Montoya Casella, Ricardo Andres Niño Corredor, Sebastian, Ordoñez, Diego Alfredo Palta Uribe, 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Baelum, Mark Bremholm Ellebaek, Signe Bremholm Ellebaek, Anders, Hogh, Maria, Acosta, Yancy, Acosta, Pedro, Baez, Luis Alfredo Betances, Luis Rodolfo Bonilla, Daniel, Cabreja, Wilton Cabrera Cruz, María Mabel Collado Expósito, Aldo, Crespo, Octavio, Cruz-Pineda, Claudio Samuel D'óleo García, Pedro, Díaz, Remberto, Escoto, Jatnna, Figueroa, Luis, Garcia, U Garcia-Dubus Rodriguez, Humberto, Gomez, Adrian, Grullon, Fatherin, Guerrero, Lillian, Guzman, Thelma Rocío Jiménez Mosquea, Engels, Lazala, Ariela, Lopez, Leeany Maletta Francisco, Jhomayri, Mercado, Herisardy, Munoz, Jeffrey, Paulino, Maricely Ambar Perez Fernandez, Rudeily, Reyes, Lilia Rosa Reyes Guilamo, Ruben, Rivas, Claudia Alejandra Rivas Torres, Ada, Rodríguez, Madelin Tamar Rosario Villa, Eleazar, Santana, Joel, Soto, Nassin, Tactuk, Cristina Kristel Tonos Sardiñas, Raul, Ubinas, Jose, Victoria, Aaron, Villegas, Ricardo, Acra-Tolari, Larissa, Beltran, Luis Fernand Betances, Alejandro, Blaubach, Denisse Idalia Campos Mejía, Nathalia, Capellan, María Fernanda Cedeño Bruzual, Saray Cordero Spencer, Gabriella Cuevas Lantigua, Luis De Jesus, Gabriela, Díaz, Pedro Pablo Díaz Vásquez, Karla, Disla, Jesús Antonio Echavarría Uceta, Paola Irina Eusebio Jimenez, Damaris, Fernandez, Marlin Fernandez Camilo, Jiomar Manuel Figueroa Germosen, Maruel, Fortunato, Leyla Gabriel Fernández, Alicia German Dihmes, Héctor, Herrera, Elizabeth Leon Cuevas, Jose Alejandro Mata, Mirian Mateo De La Cruz, Dolores Mejia De la Cruz, Marcos, Mirambeaux, Fabio Ortiz De La Cruz, Henry, Paulino, Gabriela, Pelletier, Merycarla, Pichardo, Rodriguez Pumarol Próspero Enrique, Julio, Rivas, Ann Stephany Sanchez Marmolejos, Roman Santana Santana, Irina Suero Almanzar, María Magdalena Vásquez Sánchez, Nicolás, Campuzano, José Ricardo Negrete Ocampo, Maria, Armas, Alvaro Santiago LeMarie Guerra, Gustavo León Vizcaya, Omar Ahmed Abdelwahab, Ahmed, O Elmehrath, Mohammed Ezzat Mostafa, Gamal, Amira, Ibrahim, Sallam, Mohamed, Sherief, Ahmed, Abdelmajeed, Mostafa, Abdou, Ahmed Abo Shanab, Aya, Abodeeb, Roger, Aboelkhel, Nour Eldin Abosamak, Amna Abou Bakr, Samar, Aboubakr, Yossof, Abouelnagah, Omar, Aboumadawy, Dina, Adel, Nermeen, Afifi, Sara, Ahmed, Abedelrahman, Ahmed, Mohamed Al Sayed, Abdelrahman, Alberkamy, Mohamed, Aldahma, Ahmed, Ali, Mostafa, Ali, Mohamed Amin Bakr, Alaa, Anter, Doaa, Asal, Fouad, Ashoush, Olfat, Ashraf, Abdel Rahman Ashraf, Rewan, Atta, Salma, Badr, Mohamed, Bahaaeldin, Mostafa, Bastawesy, Sara, Darwish, Rasha El Kharashy, Ziad, Elassar, Seifeldin, Elbadawy, Dina, Elkhity, Alromisaa, Elsaka, Manal, Elsayed, Mostafa Elsayed Elsayed Hewalla, Mohamed, Elshafey, Youssof, Eshac, Fares, Eshac, Amr, Essameldin, Moataz, Ewedah, Yara, Ezz, Mohamed, Farag, Inas, Gadelkarim, Ziyad, Gadelrab, Dina, Gamal, Mira, Ghaly, Nathalie, Girgis, Omar, Gouda, Nancy, H El Goweini, Nour, Hafez, Youssef, Hafez, Abdelkader Hamed Abdin, Rodina, Hanno, Aliaa, Hassanin, Mohamed, Hassanin, Hanan, M Hemead, Abdelrahman, Hemida, Maher, Hosain, Ahmed, Hossam, Hamza Hussein Aly Salama Aly, Mohamed, Ibrahim, Abdelrahman, Ibrahim, Nourhan, Ibrahim, Noha Mohamed Salah Ibrahim Moussa Hamouda, Monica, Iskander, Islam, Khalifa, Mostafa, Kotb, Nada, Mahmoud, Alaa Mahmoud Abo Shabana, Nora, Mamdouh, Maram, Metwalli, Khaled, Metwally, Mahmoud, Moghazy, Moustafa, Mohamed, Mohamed, Mourad, Esraa, Moustafa, Kamilia, Mubarek, Nour Eldin Nader, Ahmed, Nasser, Samaa, Omar, Mostafa Shehata Qatora, Mohamed, Ragab, Marawan, Ragal, Dina, Ramadan, Rana, Ramadan, Sara, Ramadan, John, Romany, Ahmed, Sabry, Yasmeen, Said, Sara, Salamah, Ahmed Mostafa Saleh, Mona Saleh Mesbah Mohamed Elkaffas, Alaa, Salem, Hashem, Salim, Ahmed, Samih, Ahmed Samir Abdelaal, Ahmed, Shaheen, Yassmeen Sharafeldin Mohammed, Abdelrahman, Shehata, Mohamed, Shemeis, Karim, Shenit, Mennatallah, Sheta, Asmaa, Soffar, Yousef, Tanas, Ahmed, Tarek, Nermin, Yehia, Omar Khaled Mohamed Eid, Ammar Yasser Abdulfattah, Ahmed, Elsaghir, Mohamed Fouad Elganainy, Omar Ibrahim Elsayed, Omar, Elmandouh, Omar, Hamam, Mostafa Ahmed Shehata, Areej, A Abdelaziz, Ahmed, M Abbas, Wael Abd El-Ghani, Hossam Aldein, S Abd Elazeem, Mustafa Abd Elsayed, Ahmed Yassien Abd-Elkariem, Shimaa, Abdalla, Mahmoud, Abdel-Aleem, Khaled, Abdelazeem, Mahmoud, Abdelfattah, Mohammed, Abdelhafez, Mohamed, M Abdelkarem, Ali, Abdelraouf, Lamess, Abdullaha, Hossam, Abubeih, Moaiad Eldin Ahmed, Nagm Eldin Abu Elnga Ahmed, Ahmed, Ahmed, Sarah Ahmed Saad, Sherif, Alaa, Ali, Alhussaini, Abdelrahman Ahmed Abdelrahman Ali, Ibrahim, Ali, Wagdi, Ali, Mohamed Ali Mohamed, Mohamed, Ashraf, Muhammad, Bassiouni, Mohamed, G El-Adawy, Mohammad, El-Sharkawi, Hussein, Elkhayat, Khaled, Elmaghraby, Shady, Elsdfy, Mohamed, Elsharkawy, Almoutaz, Eltayeb, Mohamed Esmat Mohamed, Esraa, Essam, Mahmoud, Fahd, Osama, Farouk, Rabea, Gadelkareem, Ahmed, Ghoneim, Mohammed Hamada Takrouney, Ahmed, Hamdan, Abd El-Rahman Hamed, Ahmad, Hasan, Mohamed Abdelghafor Hassanin, Islam, Hawal, Kerollos, Henes, Mohamed Omar Herdan, Helal, F Hetta, Omar, Ibrahem, Mostafa, Ibrahim, Islam, H Ibrahim, Mahmoud, Kamel, Mohamed, Khallaf, Shrouk, M Elghazaly, Abobakr, Mahfouz, Osman, Mahmoud, Wesam, Mahran, Doha, Mahrous, Abadeer, Marsis, Ayman, Mohamed, Aliae Mohamed Hussein, Amr Mohamed Sayed, Mahmoud, M Mohammed, Ahmed, Mokhtar, Fatma, A Monib, Ahmed, Nageeb, Mariam Albatoul Nageh, Mohammed, Nageh, Nehal Gamal Omar, Abdelrahman, Ragab, Abdelrahman, Ramadan, Abdallah Rashad Temerik, Aya, Sabry, Hadeer, Safwat, Omar, Salah, Ahmed Elhussiny Salah Mahmoud, Ahmed, Saleh, Mahmoud, Sallam, Ahmed, Samir, Reem, Sayad, Esraa, Sayed, Ahmed, S Sedik, Mohammed, Shahine, Antonios, Soliman, Wael, Soliman, Mohamed Gamal Taher, Randa, Wanees, Ebrahim Ahmed Yousof, Ahmed, Youssef, Omar Zein Elabedeen, Ahmed Emad Sayed Hassan, Shrouk Abdel Fattah, Ahmed, Abostate, Samar, Ali, Saad Ali Saad Salama, Mohamed, Allam, Ahmed, Alsadek, Ebrahim, Arafa, Ahmed, Barakat, Mohammed El Sherpiny, Gehad, Elbehairy, Mahmoud, Eleisawy, 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Krause, Frank, Meyer, Salmai, Turial, Bilal, Al-Nawas, Marco Johannes Battista, Jan, Goedeke, Annette, Hasenburg, Julia, Heider, Lena Katharina Mueller, Simon, Zeller, Sina Louisa Patrizia Jentschura, Karl-Friedrich, Kowalewski, Maximilian, Kriegmair, David, Männle, Christoph, Reissfelder, Nicole, Rotter, Claudia, Scherl, Steffen, Seyfried, Andreas, Kirschniak, Jens, Rolinger, Peter, Wilhelm, Franz, G Bader, Stephanie, Ottl, Alexandra Viktoria Behr, Alexandros, Diamantis, Andreas, Fichter, Florian, Grill, Matthias, Heck, Daniel, Jira, Michael, Kallmayer, Florestan, Koll, Stefan, Luhne, Bernhard, Meyer, Robert, Patachia, Ilaria, Pergolini, Seyer, Safi, Christoph, Schäffer, Moritz, Schirren, Helmut, Wegmann, Markus, Wirth, Zhaojun, Zhu, Ughur, Aghamaliyev, Mahmoud, Almaghrabi, Wolfgang, Böcker, Jan, Bruder, Konstantin, Frank, Viktoria, Herterich, Verena, Huber, Matthias, Ilmer, Christian, Kammerlander, Carl, Neuerburg, Viktor, H von Ehrlich-Treuenstätt, Jens, Werner, Nikolaus, Börner, 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Enrico, Gelarda, Giorgio, Giraudo, Maria Carmela Giuffrida, Alessandra, Marano, Elena, Olearo, Vincenzo Pruiti Ciarello, Andrea, Puppo, Valentina, Testa, Marco, Giacometti, Sandro, Zonta, Eleonora, Monti, Andrea, Porta, Daniele, Sambucci, Arianna, Birindelli, Barbara, Carrara, Bruno, Compagnoni, Roberto Del Giudice, Sara Elisabetta Dester, Daniele, Lomiento, Silvia, Ruggiero, Lucio, Taglietti, Fabio, Viotti, Domenico, Lacavalla, Savino, Occhionorelli, Michele, Rubbini, Massimiliano, Bernabei, Nicolò, Fabbri, Marta, Fazzin, Carlo, V Feo, Marco, Torchiaro, Renato, Costi, Edoardo, Virgilio, Lorenzo, Arlia, Giuseppe, Barbato, Ilenia, Bartolini, Andrea, Bottari, Chiara, Bruno, Alessandro, Bruscino, Carlotta, Checcucci, Fabio, Cianchi, Francesco, Coratti, Rosita De Vincenti, Annamaria Di Bella, Massimiliano, Fambrini, Laura, Fortuna, Oreste, Gallo, Giacomo, Gigliucci, Luca Giovanni Locatello, Gherardo, Maltinti, Jacopo, Martellucci, Paolo, Prosperi, Maria Novella Ringressi, Flavia, Sorbi, 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Massimiliano, Gennaro, Lorenzo, Giannini, Marcello, Guaglio, Marco, Guzzo, Andrea, Leva, Alberto, Macchi, Elena, Manzo, Fabio, Martinelli, Ilaria, Mattavelli, Vincenzo Maria Mazzaferro, Francesco, Raspagliesi, Luigi, Rolli, Laura, Sala, Roberto, Salvioni, Mario, Santinami, Silvia, Segattini, Luca, Sorrentino, Carlotta, Zaborra, Alexandre, Anesi, Gianmaria Casoni Pattacini, Mattia Di Bartolomeo, Francesca, Pecchini, Arrigo, Pellacani, Micaela, Piccoli, Federico, Fusini, Andrea, Gattolin, Marco, Migliore, Roberto, Rimonda, Diego, Sasia, Elisabetta, Travaglio, Federica, Brunetti, Marco, Cereda, Marco, Ceresoli, Luca, Cigagna, Cristina, Dell'Oro, Alessandro, Fogliati, Robert, Fruscio, Tommaso, Grassi, Maini Marzia Isabella, Luca Carlo Nespoli, Massimo, Oldani, Sara, Ornaghi, Nicolò, Tamini, Carmine, Antropoli, Antonio, Castaldi, Alessio, Palumbo, Gaia, Altieri, Umberto, Bracale, Francesco, Corcione, Marcello De Luca, Giovanni Domenico De Palma, Maria Michela Di Nuzzo, Ruggero, Lionetti, 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Matteo, Filardo, Marika Sharmayne Milani, Franco, Ragni, Andrea de Manzoni Garberini, Edoardo, Baldini, Diana, Carpaneto, Michele, Cauteruccio, Corrado, Ciatti, Luigi, Conti, Serena, Gattoni, Pietro, Maniscalco, Gerardo, Palmieri, Calogero Puma Pagliarello, Giuseppe, Caristo, Raffaele, Galleano, Michele, Malerba, Marcello, Calabrò, Francesca, Farnesi, Elia Giuseppe Lunghi, Andrea, Muratore, Nicoletta Sveva Pipitone Federico, Joel Reuben Abel, Lorenzo, Andreani, Darienzo, Antonio, Vittorio, Aprile, Riccardo, Balestri, Giacomo, Benettini, Stefano, Berrettini, Luca, Bruschini, Massimo, Chiarugi, Federico, Coccolini, Simone, Colangeli, Camilla, Cremonini, Lodovica Cristofani Mencacci, Iacopo, Dallan, Silvia De Santi, Gregorio Di Franco, Lorena Di Girolami, Giacomo, Fiacchini, Niccolò, Furbetta, Stylianos, Korasidis, Marco, Lucchi, Andrea, Morandi, Luca, Morelli, Serena, Musetti, Carlo Maria Neri, Matteo, Palmeri, Miriana, Picariello, Francesco, Porcelli, Marco, Puccini, Nicolo, Roffi, 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Bianchi, Giuseppe, Bianco, Alberto, Biondi, Paola, Campennì, Valerio, Cozza, Sabatino, D'Archi, Domenico, D'Ugo, Veronica De Simone, Marta Di Grezia, Sofia Di Lorenzo, Federica, Ferracci, Valeria, Fico, Gianluca, Franceschini, Pietro, Fransvea, Giulio, Gasparini, Luca, Gordini, Antonio La Greca, Francesco, Litta, Celestino Pio Lombardi, Angelo Alessandro Marra, Angelo, Parello, Marco Maria Pascale, Romeo, Patini, Gilda, Pepe, Roberto, Persiani, Caterina, Puccioni, Carlo, Ratto, Fausto, Rosa, Gianmarco, Saponaro, Lorenzo, Scardina, Tedesco, Silvia, Giuseppe, Tropeano, Maria, Benevolo, Daniele, Bugada, Flaminia, Campo, Maria Gabriella Dona, Valentina, Manciocco, Paolo, Marchesi, Riccardo, Mastroianni, Francesco, Mazzola, Silvia, Moretto, Raul, Pellini, Gerardo, Petruzzi, Barbara, Pichi, Giuseppe, Simone, Gabriele, Tuderti, Jacopo, Zocchi, Luigi Marino Cosentino, Andrea, Sagnotta, Roberta, Angelico, Vittoria, Bellato, Michela, Campanelli, Marzia, Franceschilli, Michele, Grande, Giorgio, Lisi, Tommaso Maria Manzia, Lorenzo, Petagna, Bruno, Sensi, Giuseppe, Sica, Leandro, Siragusa, Giuseppe, Tisone, Marco, Assenza, Barbara, Binda, Massimo, Biondi, Gioia, Brachini, Placido, Bruzzaniti, Mauro, Casagrande, Flavia, Ciccarone, Pierfranco Maria Cicerchia, Bruno, Cirillo, Daniele, Crocetti, Giancarlo, D'Ambrosio, Vito, D'Andrea, Francesca De Felice, Giorgio De Toma, Carlo Della Rocca, Giulia, Duranti, Pietro, Familiari, Enrico, Fiori, Giovanni Battista Fonsi, Alessandro, Frati, Stefania La Rocca, Filippo La Torre, Pierfrancesco, Lapolla, Giovanni, Marruzzo, Simona, Meneghini, Andrea, Mingoli, Andrea, Picchetto, Antonella, Polimeni, Diego, Ribuffo, Maurizio, Salvati, Antonio, Santoro, Paolo, Sapienza, Luigi, Simonelli, Valentino, Valentini, Martina, Zambon, Giuseppa, Zancana, Emma, Zuppi, Simone, D'Annunzio, Cosimo De Nunzio, Silvia, Fiorelli, Mohsen, Ibrahim, Chiara, Loffredo, Domenico, Massullo, Cecilia, Menna, Rocco, Monica, Massimiliano, Pelli, Erino Angelo Rendina, Leonardo, Teodonio, Andrea, Tubaro, Giulio, Argenio, Giulio, Accarino, Accarino, Giancarlo, Antonio Nicola Giordano, Luca, Cardinali, Elisa, Sebastiani, Grazia, Travaglini, Erika, Andreatta, Emanuele Luigi Giuseppe Asti, Daniele, Bernardi, Luigi, Bonavina, Caterina, Froiio, Andrea, Lovece, Chiara, Copelli, Alfonso, Manfuso, Pasquale Di Maio, Marco, Giudice, Oreste, Iocca, Rosario, Cennamo, Tommaso, Cornali, Francesco Di Marzo, Cristian, Altana, Francesco, Bussu, Giampiero, Capobianco, Anna Giacomina Carta, Sandro, Ciccarello, Maria Laura Cossu, Pietrina, Cottu, Giacomo De Riu, Salvatore, Dessole, Francesco, Dessole, Salvatora, Dettori, Carlo, Doria, Alessandro, Fancellu, Claudio, F Feo, Giorgio Carlo Ginesu, Giuliana, Giuliani, Marco Giuseppe Iannuccelli, Massimo, Madonia, Roberto, Mancino, Olindo, Massarelli, Gianfranco, Meloni, Fabio, Milia, Andrea, Mulliri, Teresa, Perra, Marco, Petrillo, Antonio, Piras, Franco, Piredda, Francesco, Pisanu, Alberto, Porcu, Davide, Rizzo, Angelino, Sanna, Antonio Mario Scanu, Fabrizio, Scognamillo, Damiano, Soma, Anna Rita Tanca, Alessandro, Tedde, Matteo, Tedde, Luigi Angelo Vaira, Andrea Bartalini Cinughi de Pazzi, Osvaldo Carpineto Samorani, Daniele, Fusario, Luigi, Marano, Gaia, Oldrà, Anna Lisa Pesce, Stefania Angela Piccioni, Luca, Resca, Vincenzo, Ricchiuti, Franco, Roviello, Vinno, Savelli, Alberto, Abrate, Pierpaolo, Bordoni, Lorenzo, Bosio, Guglielmo, Clarizia, Francesco, Fleres, Marco, Franzini, Antonio, Fratto, Pierluigi, Giumelli, Alessandro, Grechi, Alessandro, Longhini, Fabrizio, Lorusso, Elisa, Scarnecchia, Federica, Scolari, Alessandro, Spolini, Vincenzo, Maiuri, Matteo, Papandrea, Arturo, Roncone, Lorenzo, Conti, Andrea, Rizzi, Marco, Rovagnati, Alberto, Brolese, Tommaso, Cai, Francesco Antonio Ciarleglio, Francesca, Dalprà, Gianni, Malossini, Liliana, Mereu, Irene, Tamanini, Saverio, Tateo, Giovanni, Viel, Enrico, Battistella, Paolo Boscolo Rizzo, Cristoforo, Fabbris, Marco, Massani, Giacomo, Spinato, Roberta, Tutino, Ugo, Grossi, Alessandro, Iacomino, Simone, Novello, Maurizio, Romano, Serena, Rossi, Giulio, Santoro, Giacomo, Zanus, Sokol, Trungu, Giada, Aizza, Gabriele, Bellio, Selene, Bogoni, Marina, Bortul, Biagio, Casagranda, Sara, Cortinovis, Nicolò de Manzini, Davide, Drigo, Paola, Germani, Manuela, Mastronardi, Lucia, Paiano, Silvia, Palmisano, Pier Luigi Filosso, Francesco, Guerrera, Matteo, Marro, Mauro, Rinaldi, Enrico, Ruffini, Stefano, Salizzoni, Laura, Bardelli, Mattia, Berselli, Giacomo, Borroni, Eugenio, Cocozza, Matteo, Desio, Bottazzoli, Elisa, Giuseppe, Ietto, Valentina, Iori, Domenico, Iovino, Lorenzo, Livraghi, Valentina, Marchionini, Stefano, Megna, Emma Amal Nahal, Mara, Palumbo, Valeria, Quintodei, Alessandra, Zullo, Lucrezia, D'Alimonte, Giovanni, Pirozzolo, Chiara, Vignotto, Tommaso, Campagnaro, Andrea, Caravati, Simone, Conci, Carlotta De Cristofaro, Gabriele, Gecchele, Tommaso, Giuliani, Jacopo, Graziosi, Alfredo, Guglielmi, Salvatore, Paiella, Corrado, 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Mubaydeen, Husam, Sarayrah, Mohammad Abdel Elah, A Tarawneh, Mohammad Yousef Karasneh, Amany, Zurgan, Mohammad, Alassaf, Sayel, H Alzraikat, Justin, Z Amarin, Ahmed, Hijjawi, Haya, H Suradi, Louay, Y Zaghlol, Ahmad, Abdalah, Ghaida, Abdallah, Ammar Abu Tarieh, Tareq, Abu-Libdeh, Faisal, Abualteen, Murad Al Abdallah, Zakaria Al Bdour, Seif Al Dahabrh, Farah, Al-Kasaji, Zaid Al-Sheikh Ali, Mohammad, Al-Thaher, Tareq, Alnajjar, Mohannad, Alqedrh, Mohammad, Alsaleh, Mohammad, Alzaatreh, Ghandi, Amayreh, Yazeed, Ayasra, Ahmad, Eid, Ibrahim, Ghayada, Khaled Moh'd Ahmed Hasanein, Anas, Hassouneh, Raid, Hijazeen, Majedah, Hmeidan, Ahmed, Khaled, Barihan, Khasawneh, Omar, Kifayeh, Yasser, Lafi, Jasem, Seba, Qusai, Semrin, Fda, Sma, Mohammad, Theab, Haitham, Tumeh, Muna Aba Zaid, Alaa, Abazeed, Bader, Abbad, Osaid, Abbadi, Nizar, Abu-Ishkerih, Malk, Al-Osta, Reham, Al-Zyadat, Bashar Omar Falah Alawneh, Majd, Alhattab, Mohd Mujahed Alkurdieh, Ziad, Awwad, Mohammad, Hammouri, Hamzeh, Hussein, 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Mohammedali, Claude, Mwaria, Ralph, Obure, Sayed Shah Nur Hussein Shah, Chetan, Hirani, Muthoni, Kibunyi, Claire, Mailu, Victor, Mwangi, Roy, Ogenya, Lydia, Osea, Davies, Cheruiyot, Omar, Hirsi, Carolyne, Muiru, Samuel, Wanjara, Chang Woo Kim, Suk Hwan Lee, Ahmad, Almulla, Mustafa, Dashti, Omar, Elghany, Abdullah, Sultan, Husain, Al-Mahmeed, Jasim, Alabbad, Ibtisam, Albader, Shuaib, Aldalal, Mahdi, Baba, Fareed, Abdulsalam, Naser, Alhajri, Athari, Alwael, Brook, Ayele, Hatem, Marie, Ahmed, Zaitoun, Ahmad, M AlAli, Ahmed, Alkhamis, Ous, Alozairi, Sulaiman, Almazeedi, Salman, Alsabah, Mostafa, Abdelkarim, Asmaa Al Rashed, Saud Al Subaie, Tariq, Al-Shaiji, Abdullatif, Al-Terki, Omar, Alhunaidi, Ali, Aljewaied, Khaled, Alzamel, Ahmed, Farag, Hussein, Hayati, Salah, Termos, Sarah, Wood, Maha, Al-Gilani, Mutlaq, Al-Sihan, Haifa, Alotaibi, Dmitrijs, Lobovs, Andrejs, Pcolkins, Armands, Sivins, Ingus Arnolds Apse, Annija Evelīna Berga, Anna, Ivanova, Jevgenijs, Demicevs, Igors, Ivanovs, 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Alameen, Rehab, Alarabi, Alarabi, Alarabi, Aisha, Alelwany, Abdulkarim, Alesmail, Noran, Algadi, Khuloud, Almaqrahi, Hadel, Alosta, Mohamed, Alsharedi, Rasha, Bashir, Mahmoud Ben Ghrema, Sari Bin Nour, Sofian, Elbarouni, Ahmed, Elhadi, Abdulmohimen, A Elkhadar, Esraa, Elkouba, Nabiha, Elmsherghi, Abdulmohimen, Gammoudi, Abdulraouf, Ghariba, Fatima Zayed Gjam, Arwa, Haidar, Hala, Helal, Mohammed, Huwaysh, Ahmed Khalid Alhadheeri, Eslam, Kriem, Halim, Osman, Mohamed Ali Ossman, Marwah, Shilfeet, Laila, Turshani, Nouran, Albishty, Abdulmueti, Alhadi, Salem, Ali, Manal Ahmed Altoumi, Sumayyah Ghayth Bahroun, Eman, Younes, Hana, Atarabulsi, Mohamed, Elshaibi, Abdullmujeeb, Othman, Hayat Ben Hasan, Najat Shaban Ben Hasan, Rabab Shaban Ben Hasan, Vidmantas, Barauskas, Edvinas, Dainius, Zilvinas, Dambrauskas, Albertas, Dauksa, Inga, Dekeryte, Rita, Gudaityte, Kristijonas, Jasaitis, Akvilė, Koženiauskaitė, Virgilijus, Krasauskas, Ausra, Lukosiute-Urboniene, Almantas, Maleckas, Romualdas, Riauka, Vygintas, Šlenfuktas, Saulius, Svagzdys, Kestutis, Urbonas, Tomas, Vanagas, Linas, Venclauskas, Donatas, Venskutonis, Justas, Zilinskas, Marijus, Ambrazevicius, Vilius, Syminas, Oleg, Aliosin, Agne, Cizauskaite, Vitalijus, Eismontas, Jonas, Jurgaitis, Vytenis, Mikutaitis, Donatas, Petrauskas, Narimantas Evaldas Samalavicius, Dainius, Simcikas, Algirdas, Slepavicius, Albinas, Tamosiunas, Vaidotas, Turskis, Bernardas, Vasiliauskas, Laura, Aniukstyte, Audrius, Dulskas, Gediminas, Januška, Justas, Kuliavas, Margarita, Montrimaite, Albertas, Cekauskas, Azuolas Algimantas Kaminskas, Sarunas, Kozenevskis, Tomas, Poskus, Kestutis, Strupas, Arunas, Zelvys, Georges, Decker, Audrey, Noël, Maheriandrianina Fanambinana Voahary Rajaonarivony, Randimbinirina Zakarimanana Lucas, Herimampionona, E Andriantsoa, Mamisoa, B Rasamoelina, Rakotonarivo Aina Andrianina Vatosoa, Liantsoa, Andriamanana, Casimir Fp Rahantasoa Finaritra, Aristide Romain Raherison, Tsirimalala, Rajaobelison, Haritiana, Rakotoarisoa, Maharo, Ramifehiarivo, Solonirina Harinarindra Ranaivoson, Hajamihamina Marina Parfaite Randriantsoa, Narindra Njarasoa Mihaja Razafimanjato, Jeannie Ba Razafindrahita, Solofoarimanana, Solofoarimanana, Guillaume Odilon Tsiambanizafy, Rakotonaivo Mamisoa Judicaël, Corinne Eulalie Solo, Tojomamy Herinjaka Ralaizafindraibe, Fanonjomahasoa Safiry Andofenohasina, Hanta, Rasataharifetra, Vanona Barijaona Razafindraibe, Angelin Sablon Herinirina, Andre, Das, Thanga, Ganapathy, Yohesuwary, Gunarasa, Kalyani, Mariapan, Maathichsudhaar, Muniandy, Mohd Firdauss Osman, Mohd Azem Fathi Mohammad Azmi, Jien Yen Soh, Wan Zainira Wan Zain, Andee Dzulkarnaen Zakaria, Zaidi, Zakaria, Kheng Hooi Chan, Firdaus, Hayati, Syamim, Johan, Jin Jiun Mah, Ratha Krishnan Sriram, Sentilnathan, Subramaniam, Nur Shahirah Binti Muhammad Shahimi, Khairul Hazim Hamdan, Mohd Razali Ibrahim, Guhan, Muthkumaran, Ju Ann Tan, Mohana Raj Thanapal, Dayang Anita Abdul Aziz, Mae-Lynn, Bastion, Mohd Hairul Nizam Harun, Farrah-Hani, Imran, Norshamsiah Md Din, Ayesha Mohd Zain, Mushawiahti, Mustapha, Syed, Nabil, Ainal Adlin Naffi, Abd Jabar Nazimi, Roszalina, Ramli, Bee Hong Soon, Pavin, Bal, Joo Qing Cheng, Mohd Rusdi Draman, Ahmad Nazran Fadzli, Sakina, Ghauth, Weipin, Hung, Suniza, Jamaris, Peng Soon Koh, Sivakumar, Krishnasamy, Yeong Sing Lee, Yew Toong Liew, Jeffery Zk Lim, Raymond Chung Siang Lim, Hiong Chin Lim, Siti Farhan Moh Pauzi, Shireen Anne Nah, Ashvin Krishna Nair, Doris Sin Wen Ng, Yuki Julius Ng We Yong, Kamarajan, Ramayah, Rahmah, Saaid, Anand, Sanmugam, Mee Hoong See, Kanesh Kumaran Seevalingam, Neha, Sethi, Srihari, Singaravel, Syeda Nureena Syed Jafer Hussain Zaidi, Chu Yik Tang, Li Ying Teoh, Kian Boon Wong, Ruben, Xavier, Ahmad Shuib Yahaya, Norhafiza, Ab, Rahman, Islah Munjih Ab, Rashid, Mohd Fahmi Abd Aziz, Mohd Norhisham Azmi Abdul Rahman, Nasser Muhammad Amjad, Shahidah Che Alhadi, Faisal, Elagili, Mohd Nazli Kamarulzaman, Azmi Md Nor, Ahmad Faidzal Othman, Mohd Yusof Sainal, Mat Salleh Sarif, Richelle, Chua, Aini Fahriza Ibrahim, Abdul Rauf Bin Ahmad, Yii Ling Lau, Ka Yee Liew, Kandasami, Palayan, Hui Yu Wong, Jasiah, Zakaria, Nor Azimah Abd Aziz, Norazila Abdul Rahim, Noorneza Abdul Rahman, Bahiyah, Abdullah, Mohamed Faizal Bin Sikkandar, Fatin, Firman, Nik Mohd Hazleigh, Intan Kartika Kamarudin, Shahril, Khalid, Mohd Fairudz Mohd Miswan, Akmal Zulayla Mohd Zahid, Norasyikin, Mustafa, Kadhim, Obaid, Mohd Yusoff Bin Yahaya Yahaya, Ahmad Ramzi Yusoff, Predrag, Andrejevic, Jeremy Borg Myatt, Svetlana, Brincat, Clifford, Caruana, Kurt Lee Chircop, Francesca, Chircop, Daniel Mario Chircop, Charles, Cini, Viktoria, Czok, Melanie, Farrugia, Gabriella, Grima, Fatimah Mj Hassan Almukhariq, Esther, Muscat, Darryl, Pisani, Mohsin Hassan Khan Roshan, Nicholas, Schembri, Mohamed, Shoukry, Neville, Spiteri, Gilbert, Tanti, Ziad Aboharp Hasan, Alberto Bazan Soto, Cedillo Rodrìguez Jonathan Rubén, Gustavo Esteban Lugo Zamudio, David Gerardo Miranda Gómez, José Alfredo Pérez Meave, Victor Pinto Angulo, Antonio Rojas Aguilar, Erik Efrain Sosa Duran, Alejandro Vàzquez Perez, Diego, Arroyo, Jose, Corona-Cruz, Hector, Martinez-Said, Heriberto, Medina-Franco, Manuel, Mendez, Teresa Moreno, Y Suárez Ma, Dolores Orta Díaz, Martha Patricia Pérez de León Vázquez, Angélica Azucena Soto Carvajal, Fidel Soto Hernández, Juan Ignacio Stenner, Adriana Valenzuela López, Mauricio Rene Hernandez, Rey Jesus Romero, Aldo Bernal Hernandez, Ana Olivia Cortes-Flores, Carlos Jose Zuloaga Fernandez Del Valle, Carlos Andres Colunga Tinajero, Jaime, Orozco-Perez, Laura Gabriela Peña Balboa, Guillermo, Yanowsky-Reyes, Víctor Hugo Alcalá Torres, Francisco José Barbosa Camacho, Irma Valeria Brancaccio Perez, Miguel Angel Calderon-Llamas, Aldo Camacho Gomez, Edgar-Joaquin, Cortes-Torres, Esteban, Cueva-Martinez, Oscar Durán Anguiano, Isaac Esparza Estrada, Roberto, Fierro-Rizo, Paola Flores Becerril, Clotilde Fuentes Orozco, Miguel García Castillo, Alejandro Gonzalez Ojeda, Ana Sofia Gonzalez Rubio, Erick Alonso González-García de Rojas, Luis Humberto Govea-Camacho, Jose Aldo Guzman Barba, Juan Carlos Ibarrola Peña, César Íñiguez Martínez, Francisco Javier Llamas-Macias, Ruben Eduardo Morán Galaviz, Cesar, Nuño-Escobar, Oscar-Everardo, Olvera-Flores, Jaqueline, Osuna-Rubio, Jose Victor Pérez-Navarro, Rodrigo, Prieto-Aldape, Luis Ricardo Ramirez Gonzalez, Marco Vinicio Ramírez Sánchez, Emilio, Reyes, Olaya Moramay Romero-Limón, Carlos Beas Ruiz-Velasco, José Antonio Sánchez Martínez, Guillermo, Sanchez-Villaseñor, Ismael, Sedano-Portillo, Gabriela Ambriz Gonzalez, Pedro Berrones Moreno Berrones Moreno, Ana Beatriz Calderon Alvarado, José de Jesús Cárdenas Barón, Araceli, Hernández, Francisco Javier León Frutos, Edgard Efren Lozada Hernandez, Eduardo Morales Valencia, Karla Daniela Pérez, Francina, Bolanos-Morales, Julio, Herrera-Zamora, Patricio, Santillan-Doherty, David Omar Arriaga Zavala, Salvador Francisco Campos Campos, Lizette, Carmona, Antonio Galindo Nava, Blanca, Santos, Juan Roberto Torres Cisneros, Katya, Bozada-Gutiérrez, Jose Jesus Herrera, Mucio Moreno Portillo, Francisco Pérez López, Mario, Trejo-Avila, Carlos Valenzuela Salazar, Maria Regina Alvarez, Fernando, Cordera, Marco Antonio de la Rosa Abaroa, Antonio, Gómez-Pedraza, Roberto, Hernandez, Antonio, Maffuz-Aziz, José Antonio Posada, Carlos Robles Vidal, Jose-Luis, Beristain-Hernandez, Blas Eduardo Quintero Sada, Nicolás Uxmal Soruco Heredia, Ernesto, Anaya, Ricardo, Arceo-Olaiz, Bernardo Gutiérrez Sougarret, Sonia Lopez Flores, Francisco, J Ochoa Carrillo, Raymundo Alfredo Pérez Uribe, Ludwigvan Adriano Bustamante Silva, Arianne, I Lupián-Angulo, Christian Enrique Soulé Martínez, Francisco César Becerra García, Ernesto Javier Guerrero Casillas, Edgar, Uribe, Nereida Esparza Arias, J Mindy Hernández-Nava, David, Isla-Ortiz, Javier, Melchor-Ruan, Esmeralda Romero Bañuelos, Rosa, Salcedo-Hernández, Diana, Vilar-Compte, Paola Zinser Peniche, Jorge, L Aguilar 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Sanchez Barrueco, Maria Dieguez López, Isabel López García, Pilar López-Toribio López, Marina, Bosch, Carolina Curtis Martínez, Alba Fernández Candela, Sandra Lario Pérez, Cristina Lillo García, Clara López de Lerma Martínez de Carneros, Francisco López Rodríguez-Arias, Inmaculada, Oller, Saray, Quinto, Luis, Sánchez-Guillén, Antonio Sanchís López, Álvaro, Soler-Silva, Daniel Triguero Cánovas, Victoria Garcia Peces, Estefania, Hernández-García, Guillermo, Plaza, Rafael Abad Alonso, Francisca Aranda Lozano, Marta Calvo Fernández, Eneko Del Pozo Andres, Josune Etxabe Gurrutxaga, Francisco Javier Fernández Pablos, Francisco Javier Ibáñez-Aguirre, Begoña Ochoa Villalabeitia, Natalia, Ortega, Amaia Sanz Larrainzar, Irune Vicente Rodriguez, Javier Jimenez Miramón, Jose, M Jover, Tamara, Llamero, Jose Luis Ramos Rodriguez, Ainhoa Valle Rubio, Maria Teresa Albiol, Codina, Antonio, Clara, Codony, Ramon Farres Coll, Cristina Farrés Pla, Nuria Gomez Romeu, Santiago, Lopez-Ben, Marcel, Pujadas, 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Marqueta De Salas, Paula Martinez Pascual, Almudena Ortiz Simón, Laura, Osuna, Marta Perez Gonzalez, Antonio Ramos Bonilla, Lorena Rodríguez Gómez, Jose Luis Uquillas, Miguel Angel Alonso Prieto, Marta, Ballesteros-Pomar, Sara Busto Suarez, Mario, Castaño, Laura Castillo Pardo, Mario De Arriba Alonso, Fernando Diez Burón, Anna Farrés Rabanal, Diego Fernández-Samos Fernández, David, Garcia, Cristina García Pérez, Miguel García Sanz, Cesar, Gracia, Javier, Gualis, Gonzalo Gutiérrez Carrillo, Mateo, Hevia, Eva Higuera Miguélez, Gregorio, Laguna, Cristina Lombardia Gonzalez de Lera, Pablo López Martínez, Pasquale, Maiorano, Sergio Marcos Contreras, Elio Martín Gutiérrez, Marta, Molina, Irene, Perez, Teresa Renedo Villar, Luis Angel Suarez Gonzalez, Eva Alvarez Torres, Luz Bueno Rey, Zulay Adriana Calderon Barajas, Ana, M Castaño-Leon, Aida, Fernández, Pablo Garcia Pimentel, Luis, Jimenez-Roldan, Meta, Levstek, Rosalia Navarro Casado, Claudia Olea Vielba, Ana Maria Parada Rodriguez, Igor, Paredes, Patricia, Pascual-Cambero, Miguel Saiz Sánchez-Buitrago, Claudia Sarrais Polo, Victor Zarza Fernandez de Alegria, Mireya, Bonet, Alberto Encinas Vicente, Jose Miguel Villacampa Auba, Maria Dolores Burgueño, Patricia Serrano Méndez, Thomas, W Jorgensen, Mercedes, Martin, Mónica, Huecas, Felipe, Velasco, Verónica Alen Villamayor, Santiago Alonso Bartolomé, Miguel Alonso Juarranz, Luis Felipe Ávila-Ramírez, Javier Buendia Pérez, Barbara, Burgos-Blasco, Enrique Camarero Rodríguez, Paula Campelos Fernández, Claudia, Celotti, Marco Ciappara Paniagua, Ignacio, Cristobal, Alejandro Encinas Bascones, Elena, Fernandez-Martin, Inés Gil Prados, Jesus Gimeno Hernandez, Maria Alejandra Giraldo, Manuel Gomez Cervantes, Noemi Guemes Villahoz, Araceli Hernández Ramos, Maria Cruz Iglesias Moreno, Bibiana Lasses Martínez, Francisco Leyva Rodríguez, Leyre López Antoñanzas, Javier Martín Monterrubio, Jose Maria Martinez-de-la-Casa, Lourdes Montero Cruces, Jesús Moreno Sierra, Jose Maria Muguerza, Alexia Victoria Paluso Montero, Natalia Pérez Romero, Adriana, Poch, Jaime Rodríguez de Alarcón, Adriana Ruano Campos, Rebeca Ruiz Roman, Patricia Saez Carlin, Cristina Sánchez Del Pueblo, Lidia Sotillo Valenzuela, Armando, Galvan, Miguel Ángel García Ureña, Enrique, González, Manuel Medina Pedrique, Alvaro Robin Valle de Lersundi, Carlos San Miguel, Juan, Aragón-Chamizo, Monica, Ballon, Jose, M Barrio, Beatriz Castro Catalan, Laura Cebolla Rojas, Renan Carlo Colombari, Miguel Cuende Diez, Paula Dujovne Lindenbaum, Oscar, Gil-de-Sagredo, Silvia Kayser Mata, Pablo Lozano Lominchar, Yeniffer Tatiana Moreno Salazar, Angela, Moreno-Gutierrez, Melanie, Morote, Uxue, Murgoitio, Nikolas Palma Caucig, Lucía Polanco Pujol, Alejandro, Prosperi, María Belén Ramírez Senent, Diego Fernando Ruiz Chiriboga, Mercedes, Sanz, Maria, Tudela, María Adrien Lara, Raquel, Alarza, Isabel Alonso Sebastian, Mariano Artés Caselles, Laura, Calles-Sastre, Marcos Casas Sánchez, Aritz Equisoain Azcona, Lucía, Fuentes, Lucia Gil Cidoncha, Sofía Herrero Gámiz, Eva Iglesias Garcia, Jose Luis Lucena De La Poza, Mª Eugenia Marín Martínez, Pilar Martín Rodrigo, Joaquin Manuel Muñoz Rodríguez, Verónica, Polaino, Alberto Pueyo Rabanal, Xabier Remirez Arriaga, Xiana, Rial, Miguel Sánchez Suárez, Maria Eugenia Torguet Muñoz, Borja Bazán Inostroza, Lara Blanco Terés, Alba Correa Bonito, Angela de la Hoz, Gustavo, Eisenberg, Javier Garcia Septiem, Jose Maria Lopesino, Rocio, Maqueda, Elena, Martin-Perez, Jose Luis Muñoz de Nova, Julia Revuelta Ramírez, Ana Rodríguez Sánchez, Álvaro Valdés de Anca, Laura Colao García, David Díaz Pérez, Enrique Esteban Agustí, Pablo Galindo Jara, Ana Belén Gallardo, Cesar, Garcia, Maria Gutierrez Samaniego, Miguel Angel Hernandez Bartolome, Lorenzo, Rabadan, Barriga Sánchez Raquel, Beatriz, Diéguez, Miguel, Hernández-García, Carolina Alfonso Carrillo, María Belén Alonso Bartolomé, Estibaliz, Alvarez, Mario, Alvarez-Gallego, Paula, Aragón-Ramos, Pablo Cesar Arteaga Asensio, Luis Asensio Gomez, Diego, Carrion, Nuria, Chavarrias, Alvaro de Arriba, Jose Antonio Gazo Martínez Gazo, Alberto Gegúndez Simón, Juan Gómez Rivas, Natalia Gonzalez Alcolea, Carolina, Gonzalez-Gomez, Sara Gortázar de Las Casas, María Alexandra Heras Garceau, Alicia Hernández Gutierrez, Luis, Lassaletta, Fuad Samir Lopez Fernández, Marta, Mancheño, Blanca, Mateos-Serrano, Isabel Pascual Miguelañez, Maria Fernanda Pedrero Escalas, Julio, Peñarrocha, Yolanda, Perez, Maria Isabel Prieto-Nieto, Teresa Rivera Schmitz, Laura, Rodrigáñez, Ines, Rubio-Perez, Isabel Sanchez Cuadrado, José Ignacio Sánchez Méndez, Jorge Fernando Tone, Carlos Toribio Vazquez, Aitor, Urbieta, Diego Córdova García, Francisca Garcia-Moreno Nisa, Laura, Jiménez, Inmaculada, Lasa, Belen, Matías-García, Fernando, Mendoza-Moreno, Marina Pérez González, Ana Sánchez Gollarte, Alejandro Sanchez Pellejero, Cristina Vera Mansilla, Rafael, Barberá, Lourdes, Montes-Jovellar, Sara Fra Fernández, Nicolas Moreno Mata, Barbara, Algar-Yañez, Gutiérrez, Bérénice, Olga De La Varga-Martínez, Paula, Fernandez-Valdes-Bango, Sandra Maria Gadin-Lopez, José María Martínez-Gómiz, Elena, Nieto-Moreno, Ana, Nieto-Moreno, Montserrat Ocampos Hernandez, Maria Laura Pelegrina-Lopez, Alicia Ruiz Escobar, Elena, Sáez-Ruiz, Beatriz, Vazquez-Rivero, Antonio, Lara, Belén Vielva Del Campo, Fernando Alcaide Matas, Simbad, Costas-Ochoa, José María García Pérez, Elizabeth, Marmol, Paula Troncoso Pereira, Maria Del Pilar Concejo Cutoli, Juan Ramón Gómez López, Juan Carlos Martín Del Olmo, Paloma Guillamot Ruano, Javier Páramo Zunzunegui, Antonio Albarracín Marín Blázquez, Alfonso, Aliaga-Sanchez, Marta María Arroyo Domingo, Miriam Artés Artés, Ana Isabel Avellaneda Camarena, Aida, Blaya, Emny Rochell Bobadilla Romero, Pedro Vicente Fernández-Fernández, Lorena Galindo Iñiguez, Víctor Javier García Porcel, Clara Giménez Francés, Antonio Javier Gomez Poveda, Rebeca Gonzalez Celdran, Francisco Miguel González Valverde, Laura Guillamon Vivancos, Elena, Gurrea-Almela, Alejandra Jara Maquilón, Jose David Jimenez Parra, Abd Al Aziz Lanagrán Torres, Raquel Lax Perez, Carmen Maria Lopez Lopez, Francisco, Machado, Alfonso Marco Garrido, Florencio Manuel Marin Martinez, Victoria Martínez Muñoz, Esther, Medina, Olimpia, Molina, José Manuel Muñoz Camarena, Julian, Onate, Pedro Antonio Parra Baños, Emilio Peña Ros, Enrique, Rubio, Marina Sánchez Robles, Carlos Sanchez Rodriguez, María Valero Soriano, María Teresa Yepes García, Felipe, Alconchel, Andrés Balaguer Román, Valentín, Cayuela, Ana, Conesa, Ana Delegido García, Pedro José Gil Vázquez, Paula Gómez Valles, Francisco, Gómez-Bosch, Vicente, J León-Muñoz, Francisco, Martínez, Alvaro, Navarro-Barrios, Tatiana, Nicolás-López, Pablo Ramirez Romero, Emiliano, Cano-Trigueros, María Concepcion Alonso González, Leticia Gómez Viana, Ana Pastor Zapata, Elisa Contreras Saiz, Tamara Díaz Vico, Maria, Fernandez-Hevia, Luis Joaquín García Flórez, Raquel, Rodríguez-Uria, Sandra, Sanz, Lorena, Solar-Garcia, Aida Suárez Sánchez, Jaume, Gelonch, Dietmar, Reinaldo, Miriam Abdulkarim Polo, Asier, Aguirre, Marta Alomar Bofill, Santiago, Baena, Ashish, Bartakke, Carmen Cabeza Oliver, Marta Castro Suárez, José Andrés Cifuentes Rodenas, Olga Claramonte Bellmunt, Ant Onia Crespí Mir, Anabel De La Llave Serralvo, Mar, Escales, Isabel Rosa Fernández Burgos, Pablo Gandia Gonzalez, Juan Lliteras Jorge, María Cristina Martínez Canto, Javier, Mata, Andreu, Morell, Naila, Pagès, Sara Pérez Palao, Cristian Plaza Valiente, Catalina Ramon Barcelo, Carmen Reyero Fernández, Albert Reyes Claret, Leticia Rodriguez Vaquero, Maialen Saez de Vicuña Salinas, Pilar Santos Cidon, Concepcion, Segura, Aina, Serra, Maria Serra Guivernau, Maria Soler Pedrola, Marta, Tasende, Marta Torrent Lluch, María Inmaculada Valldeperas Hernández, Rosa-Maria, Yañez-Lpez, Andrea, Craus-Miguel, Laura Fernández Vega, Natalia Pujol Cano, Juan José Segura-Sampedro, Laura Colet Oliver, Ivan Dot Pascuet, Mireia, Duart, Isabel Tello Galindo, Eduardo Arrea Salto, Jaume Cámara Cabrera, Marta Camats Terré, Juan Gabriel Castro Ríos, Marta de la Rosa-Estadella, Anna, Fernandez-Colorado, Anna, Gasulla-Rodriguez, Antonio, Gimenez-Gaibar, Elena, Gonzalez, Yeray Maldonado Sotoca, Matilde, Molina-Corbacho, Montserrat Monfort Mira, Josep, Rodoreda, Marta Santos Espí, Arnau Verdaguer Figuerola, Elisa Angela Diego-Alonso, Jaime, López-Sánchez, Luis, Muñoz-Bellvis, Jacobo, Trebol, Borja, Aguinagalde, Cristina Gabriela Alzate Arsuaga, Ainhoa Andres Imaz, Iñigo, Arana, Coro Aranzabal Urrutia, Mikel, Armendariz, Lorena, Arrabal, Iñigo, Augusto, Adolfo, Beguiristain, Laura, Busto, Ainhoa, Cuevas, Itziar De Ariño, Alejandro, Elúa, Leticia, Fernandez, Arantza, Fernandez-Monge, Lander, Gallego, Alba, Garcia, Amaia Garcia Dominguez, Gregorio, Garmendia, Carmen, Grañén, Pelayo Hevia Rodríguez, Maria, Iraola, José Miguel Izquierdo, Aintzane, Lizarazu, Jon Ander Lizarbe, Claudia Cristina Lopes Moreira, Iker, López, Ruth Marquina González, Tania, Pastor, Adrián Recio Ayesa, Ana Paula Riverola Aso, Carballo, Rodríguez, Araceli, Rodrìguez, Maria Inmaculada Ruiz Montesinos, Patricia, Torres, Jose, Undabeitia, Ainara, Villafruela, Maria Barrionuevo Ramos, David, Blanco, Marta, Calderón, Eva Corral Rubio, Angel, Cuadrado-García, Daniela, Cubek, Ignacio, Fariña, Maria Fernandez LLorente, Natalia Flores Amador, Mariana García Virosta, Luis Garcia-Sancho Tellez, Adelina Gonzalez Martinez, María, Hernandez, Rubén Herreros Ruiz-Valdepeñas, Carmen Jimenez Sanchez, Eduardo Llamazares Cobo, María, López, Javier, López-Martin, Teresa Martínez Marivela, Luis Miguel Martinez Parra, Paloma Maté Mate, Paloma, Medrano, Manuel Moriche Carretero, Sara Núñez O'Sullivan, Manuel Ortega Oria de Rueda, María Begoña Pastor Nieto, Clara, Pérez, Antonio, L Picardo, Remedios Revilla Amores, Carmen Rodríguez Haro, Jose Alberto Rojo López, Fatima Sanchez Cabezudo Noguera, Cristina, Sanz, Daniel Serralta de Colsa, Cristina Valor Garcia, Marta Velasco Martinez, Iván Andújar Lara, Aranzazu, Calero-Lillo, Enrique, López-Ruiz, Alberto Díaz García, Alejandro Menéndez Moreno, Luis Eduardo Pérez-Sánchez, Ángela, Pascual, Miguel Adeba García, Marta Alonso Fernández, Javier Alvarez Gama, Roberto, Ballestero, Loreto Berjon De La Vega, Paola Calleja Hermosa, Mariana, Carrillo-Rivas, Alfonso, Casado, Andrea, Cerveró, Bonifacio Cimadevilla Calvo, Patricia Corriols Noval, Paloma de la Dehesa Cueto-Felgueroso, Miren Jasone Diez Zapirain, José Estevez Tesouro, José Antonio Fernández-Dívar Sánchez, Lucia Garcia Alcalde, Juan García Cardo, Tito García Moreno, Daniel, García-López, Belen Garcia-Montesinos Perea, Miren Gonzalez Benito, Rocio, Gonzalez-Aguado, Miguel Ángel Gordo Vega Gordo-Vega, Jose, Gutierrez-Banos, Jaime Jimeno Fraile, Yolanda Jubete Castañeda, Patricia Lopez Gomez, Antonia Jesús López López, David Mato Mañas, Carmelo, Morales-Angulo, Dieter, Morales-Garcia, Sara, Naranjo, Jose Luis Rabago, Jose Manuel Rabanal, Rocio Revuelta Zorrilla, Adriana Reyes Echeverría, Juan Carlos Rodríguez-Sanjuán, Juan Ramón Sanz, Isabel Simal Badiola, Guillermo, Tejón, Enrique Toledo Martínez, Raquel Varea Malo, Begoña, Fadrique, Tania, Funes, Elena González Revilla, Isaias, Alarcón, Daniel Aparicio Sánchez, Pablo Beltran Miranda, Carmen, Cepeda-Franco, María Josefa Cuevas López, Sandra, Dios-Barbeito, Virginia María Durán Muñoz-Cruzado, Carlos Gonzalez De Pedro, Rosa, M Jimenez-Rodriguez, Francisco, Manresa-Manresa, Gabriel, Marin, Cristobalina, Martin-Garcia, Sara, Martínez-Núñez, Juan Manuel Martos Martinez, Lucas, Mengíbar, Felipe Pareja Ciuro, Eduardo Perea Del Pozo, Veronica Pino Diaz, José, Pintor-Tortolero, Claudia, Quintero-Pérez, Maria Luisa Reyes Diaz, Mercedes Rubio Manzanares Dorado, Alejandro Sanchez Arteaga, Ana, Senent-Boza, Luis, Tallon-Aguilar, Jose, Tinoco-Gonzalez, Luis-Cristobal, Capitan-Morales, Juan Cintas Catena, Javier, Valdes-Hernandez, María Del Campo Lavilla, Alina López De Fernández, Miriam Abellan Lucas, Alba Diaz Padillo, Maria Gómez Romero, Linda Grace Puerto Tamayo, El Mostafa El Yaqine Er Raoudi, Melody García Domínguez, María Ángeles Gascón Domínguez, Marta González Pérez, Alba Hernáez Arzoz, Joana San Anton, Cristian, Ruminot, Hander Guillermo Acosta Diaz, Daniella, Laguado, Kristina, Aghababyan, Alba, Jr, Enrique, Artigues, Rocío, Belda, Miguel, Beltran, Jose Ignacio Blanes, Elena Campos Carot, Miriam, Cantos, Laura, Costa, Carolina Ferrer Gomez, José María Gallego Sánchez, Oscar, Gil-Albarova, Juan, Gilabert-Estellés, Emilio Lopez Alcina, Isabel López Sánchez, Severiano Marin Bertolin, Carolina, Martinez-Perez, Antonio Melero Abellán, Claudia Mulas Fernández, Beatriz, Novoa, Ruth, Nuñez, Pablo Renovell Ferrer, Guijarro-Jorge, Ricardo, Carolina Soledad Romero Garcia, Miguel Sanfeliu Giner, Silvia, M West, Enrique, Zapater, Ignacio, Miranda, Ana, Monís, Alejandro Roselló Añón, María José Sangüesa, Jorge Sanz Romera, Marcos, Adrianzén, Maria Barrios Carvajal, Mireia, Bauzá, Ana Benítez Riesco, Jose Antonio Carbonell Lopez, María-Carmen, Fernández-Moreno, Ricardo Gadea Mateo, Francisco, Garcia, Maris Luisa García-Pérez, Luisa Paola Garzon, Ana, Izquierdo, Maria Lapeña Rodríguez, Carlos, León-Espinoza, Fernando, Lopez, Rosa Martí Fernández, Sara Martínez Castro, Berta Monleón López, Isabel Mora Oliver, David, Moro-Valdezate, Ernesto Muñoz Sornosa, Sara Palomares Casasús, Leticia Pérez Santiago, Mara Albert Fort, Reyes, Balanzá, Lorena Bermell Marco, Carla Carratalá Pérez, Claudia Pilar Clemente Tomas, Marta, Córcoles, Jose Ángel Diez Ares, Carlos Domingo Del Pozo, Nuria Estellés Vidagany, Gonzalo, Garrigos, Mar Gimeno Gimeno Vicente, Blanca Alastrue Giner, Segundo, Gomez-Abril, Paloma, Gonzalez, Paula Gonzálvez Guardiola, Guillermo Sebastian Martínez Fernández, Charo Martínez García, Lucía, Martínez-Costa, Luz María Moratalla Charcos, Sergio Navarro Martínez, Carmen, Payá-Llorente, Álvaro Pérez Rubio, Nuria, Peris, Eduardo Picazo Pineda, Jordi Planelles Gómez, Francisco Ripoll Vidal, Andrea, Roca, Enrique, Salmerón-González, Raquel Segura Roselló, Ramon Trullenque Juan, Cristina Verdejo Gimeno, Jose Miguel Zaragozá García, Gema Zomeño Bravo, Marcos Bruna Esteban, Hanna, Cholewa, Milton de Jesus, Matteo, Frasson, Luis Oliver García, Héctor, J Aguado, Antonio Jose Alonso Villalba, Francisco, Ardura, Carmen Elena Badillo Bercebal, María Bedate Núnez, Alvarez-Ramos Begoña Aranzazu, Juan Beltrán de Heredia, Hugo, Bermejo, Juan Berrocal Cuadrado, Maria Bragado González, Juan, Bustamante-Munguira, Raul Calvo Gonzalez, Yolanda, Carrascal, Ana Belén Casas Marcos, María Carmen Cervera, Sergio Chávez Valladares, Ángel Cilleruelo Ramos, Susana, Cortes, Jesús, Crespo-Sanjuán, María, Cuaresma, Luis Antonio Cuellar Martin, Carlos Ferreras García, Alvaro, Fuentes-Martín, Abel, Ganso, Elena García García, Luis, Garcia-Florez, Virginia, Garcia-Virto, Juan, Gatón, Julio Alberto Gobernado Tejedor, Tania Gómez Sanz, Jose Ignacio González Martín, María Begoña Gregorio Crespo, Ana Herranz Arriero, Jose, Herreros, Marta Ibáñez Nieto, César, Infante, Carlos, Jezieniecki, Moises, Juarez, Gregorio de Jesus Labrador Hernandez, Ana Patricia Legido Morán, Ricardo León Fernández, Alejandro, Leon-Andrino, Almudena, Llorente, Maria Lopez Pais, Mauricio Loucel Bellino, Sergio, Martin, Miguel Angel Martin-Ferrero, Gonzalo Martinez Municio, Elvira Mateos Alvarez, José María Matilla, Luis María Merino Peñacoba, Mario, Montes-Manrique, Fernando Natal Álvarez, David, C Noriega, Henar Nuñez Del Barrio, Francisco Javier Ortiz de Solórzano Aurusa, Lucía, Pañeda, Victoria Pascual Escudero, Miguel Pascual Samaniego, Adela, Pereda, Marta Pérez Febles, Laura, Pesquera, Maria, Plata, Emma Puertas Ruiz, Mario, Rodriguez-Lopez, Alejandro Romero de Diego, Ana, Ruano, María Ruiz Soriano, Cristina Sánchez Torralvo, Silvia Santiago Maniega, Bárbara, Segura-Méndez, Clarisa Simon Perez, José, Soro-García, Paula Suárez Mansilla Suárez-Mansilla, Jeancarlos Trujillo Díaz, Mª Esther Valsero Herguedas, Andrea Vazquez Fernandez, Eduardo Velasco García, Ana, Zabalza, Álvaro Zamora Horcajada, Fernando Acebes García, Enrique Asensio Díaz, Martín, Bailón, Alejandro David Bueno Cañones, Alvaro Centeno Velasco, Ekta Choolani Bhojwani, Fernando Labarga Rodríguez, Sara, Mambrilla, Pablo, Marcos-Santos, Toledano, Miguel, David Pacheco Sánchez, Baltasar, Pérez-Saborido, Pilar, Pinto, Katherine, Plua, Javier Sanchez Gonzalez, Vicente, Simo, Rosalía Velasco López, Sandra Veleda Belanche, Fabiola Eugenia Michel Campos, Iciar Muñoz Lindez, Maria, Balluerca, Maite, Camuera, Pablo, Helguera, Imanol, Herrero, Patricia Paunero Vazquez, María, Sánchez-Rubio, Isami, Soeda, María Dolores Arribas Del Amo, Vicente Manuel Borrego Estella, Estefania, Casas, Néstor Castán Villanueva, Daniel Delfau Lafuente, Elena Delgado Blanco, María, Domingo, Ismael Gil Romea, Azucena, Gonzalo, Emilio Lagunas Lostao, Noelia Lete Aguirre, Yaiza Martinez Lahoz, Jesús Víctor Pérez-Tierra Ruiz, Maria Del Mar Soriano, Isabel Valero Lázaro, Esmeralda Carnicer Escusol, Guillermo Pola Bandres, Juan Luis Blas Laina, Beatriz, Cros, Patricio Andrés Freile Pazmiño, David, Garcia-Aguilera, Ana Mejía Casado, Ana, Nogués, Issa Talal El-Abur, Carlos, Yánez, Isabel Gascon Ferrer, Carlos, Gracia-Roche, Ursula María Jariod Ferrer, María Victoria Simón Sanz, Tomas, Uson, Waseem, Ahamed, Sumudu, Jayasinghe, Eranda, Karunadasa, Prathibha, Nelihela, Sujeewa Priyantha Bandara Thalgaspitiya, Dickson, Wickramarathna, Nagenthiram, Harivallavan, Pirashanthan, Nagarasa, Eranga, Perera, Kanapathipillai, Piratheep, Vithranage Srimantha Dewsiri Rodrigo, Meera, Thayalan, Rajendram, Thayaparren, Arulprashanth, Arulanantham, Kanishka De Silva, Gagana, Ganga, Anuja Nadeeshan Kumarasinghe, Mahanada, Udukala, Koculen, Vimaleswaran, Prashanthan, Yogarajah, Ravindri, Jayasinghe, Probhodana, Ranaweera, Mohamed, Rishard, Dharmabandhu, N Samarasekera, Sanjeewa, Seneviratne, Sivasuriya, Sivaganesh, Chamal, Fernando, Nishantha, Mendis, Balasingam, Balagobi, Balasupramaniam, Sathesan, Lanka, Dasanayake, Malitha, Patabendige, Wickramasooriya, Dj, Kugarajh, Ganeshapillai, Sathyamoorthy, Prasanna, Dileepa, Ediriweera, Sumudu, Kumarage, Asanka, Jayawardane, Athula, Kaluarachchi, Pituwala Liyanage Adithya Sirisena, Abubakr, Abubakr, Hozifa, Mohamed, Ismail, Mustafa, Mogahid, Sharfeldein, Samir, Ismail, Reem, Musa, Monira, Sarih, Mussab, Abaker, Eman Adam Abdalla, Mohamad, Abdelbagi, Alsafe, Adlan, Ahmed, Alnaeem, Safa, Atyah, Yasir, Awad, Rsheeda, Dawelbait, Mohamed El Hag, Ibrahim, Elbashir, Sami, Eldirdiri, Samwal, Eldirdiri, Mohammed Eltahier Abdalla Omer, Lana Abdalgadir Ahmed Mohamed, Hiba Hassan Rehmtallah Ahmed, Mohammed Balla Yousif Balla, Abdulmoiz, Aljafari, Abdulmalek, Aljafari, Elsagad, Mohamed, Abdulkader, Mohammad, Abdulkader, Shaar, Mohamed Nafea Shaar, Maab Hussein Yousif Elhafiz, Mohammed Husien Yosif Elhafiz, Abubakr Ali Mohammed Alhassan Humidan, Almigdad, Ali, Hisham, Eljack, Mohamedyasin, Elrashid, Manhal, Ahmed, Albrra, Alhag, Douaa, Ali, Mohammed Ahmed Babikir, Imad, Bakheit, Hytham K, S Hamid, Sami, Mohamed, Walid, Shaban, Nidhal, Siddig, Mohamed, Suliman, Rihab Yasir Abdelmagid, Abubaker, Yassin, Omer, Abbas, Eltahir, Abdelrahim, Muhammed, Ahmed, Mohamed, Elobaid, Adil, Hashim, Ali, Mohamed, Omer, Mohamed, Khalid, Osman, Abdallah, Yousif, Safaa, Abdulaal, Marwa, Elsadig, Mohammed, Hussain, Malaz Amir Ataalmanan, Doha Amir AtaAlmanan, Tebyan Amir AtaAlmanan, Alaa, Elgaili, Maria, Mohamed, Usra, Omara, Alkhansa, Osman, Amna, Osman, Safaa, Saad, Abdelkareem, Ahmed, Ali Adil Ali Karar, Aya, Alhassan, Mohanad, Alsidig, Mohamed, Eljack, Mohammed Ibrahim Mohammed Ali, Awad Kamal Awad Osman, Liena, Mohamed, Samah Ibrahim Omer Mohamed Osman Mohamed Osman, Altayeb, Mohammed, Ayman, Mohammed, Khadija, Muhmmed, Eltahir, Musa, Egbal Sahal Abdelmajed, Khalid Z M, Y Hamid, Omnia M, M Yousif, Mahmoud, Saleh, Osman, Bashir, Yassein, Elhussein, Omar, Madani, Eva, Angenete, Jennifer, Park, Lars, Gillberg, Monir, Jawad, Linas, Pieteris, Yousif, Saeed, Sergej, Safonov, Martin, Spångfors, Henrik, Andersson, Hans, Bahlmann, Karin Björnström Karlsson, Michelle, Chew, Lara, Daham, Lina De Geer, Helen, Didriksson, Gunilla, Gagnö, Carina, Jonsson, Anna, Oscarsson, Pamela, Buchwald, Mathilde, Delorme, Marie-Louise, Lydrup, Shahin, Mohseni, Arvid, Pourlotfi, Souheil, Reda, Kajsa, Anderin, Nina, Blomme, Josefin, Segelman, Malin, Simlund, Anders, Thorell, Fredrik, Wogensen, Daniel, Danielsson, Peter, Elbe, Rebecka, Hultgren, Boel, Hynning, Fredrik, Klevebro, Karin, Lind, Ebba, K Lindqvist, Carl, Montan, Ernesto, Sparrelid, Clara Svenberg Lind, Jeremy, Wales, Andreas, Älgå, Martin, Nordberg, Emil, Pieniowski, Ioannis, Gkekas, Niklas, Löfgren, Karolina, Niska, Robert, Zürner, Silvio, Däster, Otto, Kollmar, Savas, Soysal, Stephanie, Taha-Mehlitz, Athanasios, Tampakis, Dominik Valentin Flury, Marie, Heyne-Pietschmann, 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Travis, Grotz, James, Jakub, Rahul, Kanade, David, Larson, Sherief, Shawki, Dennis, Wigle, Haradeen, Dhillon, Avni, Suri, Leonardo Weber Graeff, Ahmed, Elshabrawy, Grace Ihsiu Todd, Mark, Davies, Yan, Qi, Walter, Biffl, Kathryn, Schaffer, Sarah, Averbach, Terry, Curry, Alexandra, Schwartz, Mary Kathryn Abel, Veronica, Andaya, Kristina, Benirschke, Katherine, Bigay, Marissa, Boeck, Lee-Lynn, Chen, Lee-May, Chen, Huey-Lan, Chern, Amanda, Compadre, Patricia, Conroy, Alexa, Glencer, Patrick, Ha, Barbara Cs Hamilton, Johannes, R Kratz, Rondall, Lane, Rex, H Lee, Brenda, Nunez-Garcia, Richard, O'Donnell, Doruk, Ozgediz, Paul, Park, Ankit, Sarin, Ipsit, Shah, Bonnie, Sheu, Madhulika, Varma, Katherine, Wai, Rosanna, Wustrack, Mary Jue Xu, Melissa, Zimel, Pedro, Escobar, Meredid Maldonado Santiago, Mohammad, Azam, Asad, Choudhry, Eric, Hammond, William, Marx, Jihad, Abbas, Somya, Al-Embideen, Carol, Angel, Bailea, Bobich, Raul, Bosio, Gregory, Georgiadis, Tahir, Jamil, Maria, Kenner, Meghan, Lark, Tamara, Maghathe, Sonia, Masih, Gabriel, Naimy, Kristin, O'Mara-Gardner, Emily, Rady, Roberta, Redfern, Jack, Sample, Joseph, Sferra, Kaitlyn, Sharp, Jessica, Shoemaker, Stephen, Stanek, John, Stengle, Hibba, Sumra, Jeffrey, M Sutton, Faris, Azar, Anne, Fischer, Jaymie, Henry, Lawrence, Lottenberg, Mario, Rueda, Sasha, Thiel, Adel, Bozorgzadeh, John, Kelly, Armando Salim Munoz Abraham, Erin, Scott, Camila, Haro, Andrés, Pouy, Gastón, Acuña, Sofia, Álvarez, Ana Carmen Carbajal, Fabiola, Castedo, Diego, Pereiranuñez, Helena, Sobrero, Josefina, Tarigo, Rafat, Al-Saban, Fatima, Al-Eryani, Siham Al Maqtari, Sahar, Al-Maqtari, Mahmmoud, Abdualqader, Majed, Aeed, Ghadeer Al Sanany, Anwaar Al Dhafif, Buthina Al Jarmozi, Saba, Al-Ameri, Awsan, Al-Dhaheri, Dhyia Alhuq Al-Surimi, Amira, Alakhdury, Sabreen, Alashmali, Zainab, Alattas, Manar, Alduba'Ai, Hamdan, Aldumaini, Wafa, Alhaddad, Abdelrahman, Alharazi, Nawal, Alhemyari, Adnan, Alhumaida, Maniee, Aljabri, Hassan, Almarashi, Zuhoor, Almohanady, Marwa, Alodine, Nooraldin, Alqasemi, Basma, Alqudaimi, Ansam Mohammed Ghaleb Alrobaiee, Mohammed, Alsabri, Radfan, Alsalal, Ramzi, Alsayadi, Musaed, Alsayadi, Reem, Alshaipani, Ebrahim, Alsharabi, Nora, Atiah, Hadeel, Bajjah, Muhib, Esmael, Asma, Ghallab, Rana, Ghannam, Adwa'A, Hamid, Lina, Hashem, Sara, Saif, Shaima, Sayad, Nawras, Shaban, Amatallah Hadi Shamsan, Sarah, Shream, Amal, Shukri, Shahd, Zeid, Nabila, Abdullah, Abdulrahman Faisal Al-Garadi, Ahmed, M Ali Al-Radhi, Norhan, Naji, Shaima'A, Nasser, Areej Taha Al Anaib, Ebrahim, Abdurab, Fadhl Al Muhtadi, Amer, Al-Hebbah, Ahmed, Al-Madhrahi, Shehab, Al-Mahdi, Sakhr Abdulhakeem Al-Maswari, Ayman, Al-Oqabi, Zakarya Abdullah Al-Zaazaai, Karim, Al-Zazay, Ali, Alafif, Asem, Albzzaz, Lina, Alqalisi, Mohammed, Alrezami, Haneen, Alshargabi, Mokhtar, Alshargabi, Hossam, Ghanem, Kareem, Saeed, Rasheed, Shalabi, Fareed, Showqi, Miriam, Maimbo, Catherine, Mkandawire, Mulaya, Mubambe, Theresa, Nkole, Vanessa, Savopoulos, Patricia, Shinondo, Chabwera, Shumba, Penias, Tembo, Shelton, Chivanga, Ngqabutho, Dube, Handsome, Dube, Daniel, Dzinotyiwei, Ronald, Makanda, Moses, Mangena, Partson, Maphosa, Derek, Matsika, Proud, Mawere, Nkosikhona, Moyo, Assel, Moyo, Arnold, Muguwu, Simbarashe, Mungazi, Garikai, Mwale, Gamuchirai, Ndabvonga, Mambote Crispin Olivier Ntoto, Hardlife, Ranganai, Ernesto Sánchez Castillo, Oltah, Tshuma, Grace, Gwini, Vimbai Moyana Muguto, Gilbert, Moyo, Trust, Mushawarima, Tinashe, Shoko, Rorisang, Jamela, Marvellous, Machiri, Eric, Shumba, Antony, Chengahomwe, Yemurai, Bikwa, Maxwell, Chimhina, Jeremy, Marume, Kudzayi, Munanzvi, Precious G, T Mutambanengwe, Federico, Ferrari, Marco, Fontanella, Franco, Odicino, Romano, Vito, Nepogodiev D, Emanuele Cammarata, Sofia Campanella, Daniela Canzonieri, Adriana Cordova, Federico De Michele, Ettore Dinoto, Mara Franza, Leo Licari, Daniele Matta, Domenico Mirabella, Felice Pecoraro, Roberto Pirrello, Pierfrancesco Pugliese, Fernando Rosatti, Giuseppe Salamone, Francesca Toia, Massimiliano Tripoli, Nepogodiev, D, Rosati, R, Surgery, Medicine and Pharmacy academic/administration, Basic (bio-) Medical Sciences, Surgical clinical sciences, Faculty of Medicine and Pharmacy, Gastroenterology, Medical Oncology, Clinical sciences, Breda, João, ARD - Amsterdam Reproduction and Development, Paediatric Surgery, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, AGEM - Endocrinology, metabolism and nutrition, Graduate School, Tytgat Institute for Liver and Intestinal Research, Laura Alberici, Filippo Antonacci, Alessandro Arena, Angela Belvedere, Fabio Bernagozzi, Paolo Bernante, Pietro Bertoglio, Lorenzo Bianchi, Maria Bisulli, Barbara Bonfanti, Safia Boussedra, Jury Brandolini, Crescenzo Cacciapuoti, Stefano Cardelli, Riccardo Casadei, Matteo Cescon, Alessandro Cipolli, Riccardo Cipriani, Alfredo Conti, Luca Contu, Francesco Costa, Niccolo’ Daddi, Eugenia De Crescenzo, Pierandrea De Iaco, Alessandra De Palma, Massimo Del Gaudio, Anna Nunzia Della Gatta, Giampiero Dolci, Giulia Dondi, Matteo Droghetti, Sergio Nicola Forti Parri, Elena Garelli, Chiara Gelati, Giuliana Germinario, Federico A. Giorgini, Carlo Ingaldi, Elio Jovine, Kenji Kawamukai, Antonio Lanci Lanci, Raffaele Lombardi, Maria Elisa Lozano Miralles, Claudio Marchetti, Michele Masetti, Francesco Minni, Daniele Morezzi, Daniele Parlanti, Alice Pellegrini, Anna Myriam Perrone, Anna paola Pezzuto, Marco Pignatti, Gianluigi Pilu, Valentina Pinto, Gilberto Poggioli, Silvana Bernadetta Puglisi, Diego Raimondo, Matteo Ravaioli, Claudio Ricci, Sara Ricciardi, Francesco Ricotta, Roberta Rizzo, Angela Romano, Matteo Rottoli, Riccardo Schiavina, Renato Seracchioli, Matteo Serenari, Margherita Serra, Piergiorgio Solli, Gioia Sorbi, Mario Taffurelli, Marta Tanzanu, Achille Tarsitano, Marco Tesei, Gabriele Vago, Tommaso Violante, Simone Zanotti, Tommaso Frisoni, leonardo solaini, giorgio ercolani, Fruscio, R, Ornaghi, S, Collaborative, Covidsurg, Collaborative, Globalsurg, Palmisano, Silvia, de Manzini, Nicolo', Žundienė, Laura, Dulskas, Audrius, Kuliavas, Justas, Čekauskas, Albertas, Kielaitė-Gulla, Aistė, Poškus, Tomas, Strupas, Kęstutis, Želvys, Arūnas, COVIDSurg Collaborative, GlobalSurg Collaborative, Department of Surgery, HUS Abdominal Center, Simoes, Jff, Li, E, Picciochi, M, Glasbey, Jc, Baiocchi, G, Blanco-Colino, R, Chaudhry, D, Alameer, E, El-Boghdadly, K, Wuraola, F, Ghosh, D, Gujjuri, Rr, Harrison, Em, Lule, H, Kaafarani, H, Khosravi, M, Kronberger, I, Leventoglu, S, Mann, H, Mclean, Ka, Mengistu, Gm, Modolo, Mm, Ntirenganya, F, Norman, L, Outani, O, Pius, R, Pockney, P, Qureshi, Au, Roslani, Ac, Satoi, S, Shaw, C, Bhangu, A, Omar, Om, Ahmed, Wur, Argus, L, Ball, A, Bywater, Ep, Brar, A, Dawson, Be, Duran, I, Elhadi, M, Jones, C, Kamarajah, Sk, Keatley, Jm, Lawday, S, Marson, Ej, Ots, R, Santos, I, Taylor, Eh, Trout, Im, Varghese, C, Venn, Ml, Xu, W, Dajti, I, Gjata, A, Kacimi, Seo, Boccalatte, L, Cox, D, Townend, P, Aigner, F, Kronberger, Ie, Samadov, E, Alderazi, A, Hossain, K, Padmore, G, van Ramshorst, G, Lawani, I, Cerovac, A, Delibegovic, S, Gomes, Gma, Buarque, Il, Gohar, M, Slavchev, M, Nwegbu, C, Agarwal, A, Martin, J, Ng-Kamstra, J, Olivos, M, Lou, Wh, Ren, Dl, Calvache, Ja, Rivera, Cjp, Hadzibegovic, Ad, Kopjar, T, Mihanovic, J, Jimenez, Pma, Gouvas, N, Klat, J, Novysedlak, R, Amisi, N, Christensen, P, El-Hussuna, A, Batista, S, Lincango-Naranjo, E, Emile, S, Sandoval, Daa, Dhufera, H, Hailu, S, Mengesha, Mg, Kauppila, Jh, Arnaud, Ap, Demetrashvili, Z, Albertsmeier, M, Lederhuber, H, Loffler, Mw, Acquah, Dk, Ofori, B, Tabiri, S, Metallidis, S, Tsoulfas, G, Aguilera-Arevalo, Ml, Recinos, G, Mersich, T, Wettstein, D, Kembuan, G, Milan, Pb, Khosravi, Mh, Mozafari, M, Hilmi, A, Mohan, H, Zmora, O, Gallo, G, Pata, F, Pellino, G, Fujimoto, Y, Kuroda, N, Abou Chaar, Mk, Ayasra, F, Fakhradiyev, I, Hamdun, Ih, Jin-Young, J, Jamal, M, Karout, L, Gulla, A, Rasoaherinomenjanahary, F, Samison, Lh, Sanchez, Iid, Gonzalez, D, Martinez, L, Martinez, Mj, Nayen, A, and Ramos-De la Medina, A
Subjects: Male, Vascular damage Radboud Institute for Health Sciences [Radboudumc 16], MULTICENTER, infectious diseases, 0302 clinical medicine, 030202 anesthesiology, Anesthesiology, Cirugía, 80 and over, Prospective Studies, Young adult, Child, Lung, Aged, 80 and over, COVID-19, delay, SARS-CoV-2, surgery, timing, SARS‐CoV‐2 infection, Operative, Child, Preschool, Pneumonia & Influenza, Infection, Cohort study, Human, medicine.medical_specialty, Clinical Sciences, Sars-cov-2, GlobalSurg Collaborative, Settore MED/28 - MALATTIE ODONTOSTOMATOLOGICHE, 03 medical and health sciences, Clinical Research, Biodefense, Correspondence, Humans, PULMONARY COMPLICATIONS, CRIANÇAS EM IDADE PRÉ-ESCOLAR, Aged, Science & Technology, Cirurgia, Prevention, Infant, Odds ratio, Pneumonia, Prospective Studie, Clinical research, Surgery, Human medicine, 610 Medizin und Gesundheit, 1109 Neurosciences, Internationality, Settore MED/29 - CHIRURGIA MAXILLOFACCIALE, Settore MED/18 - CHIRURGIA GENERALE, Adolescent, Adult, Cohort Studies, Female, Middle Aged, Surgical Procedures, Operative, Time, Young Adult, Practice Guidelines as Topic, gastroenterology, Medicine and Health Sciences, 030212 general & internal medicine, Prospective cohort study, Mortality rate, Covid19, Infectious Diseases, Patient Safety, medicine.symptom, 6.4 Surgery, Life Sciences & Biomedicine, 610 Medicine & health, COVID-19, SARS-CoV-2, delay, surgery, timing, Asymptomatic, NO, COVIDSurg Collaborative, Vaccine Related, All institutes and research themes of the Radboud University Medical Center, medicine, Mortalitat, ddc:610, Mortality, Preschool, LS7_4, Surgical Procedures, business.industry, Neurosciences, Evaluation of treatments and therapeutic interventions, 1103 Clinical Sciences, 3126 Surgery, anesthesiology, intensive care, radiology, Reconstructive and regenerative medicine Radboud Institute for Health Sciences [Radboudumc 10], Anesthesiology and Pain Medicine, Emerging Infectious Diseases, Good Health and Well Being, Mortalidad, Cohort Studie, business
Abstract: Peri-operative SARS-CoV-2 infection increases postoperative mortality. The aim of this study was to determine the optimal duration of planned delay before surgery in patients who have had SARS-CoV-2 infection. This international, multicentre, prospective cohort study included patients undergoing elective or emergency surgery during October 2020. Surgical patients with pre-operative SARS-CoV-2 infection were compared with those without previous SARS-CoV-2 infection. The primary outcome measure was 30-day postoperative mortality. Logistic regression models were used to calculate adjusted 30-day mortality rates stratified by time from diagnosis of SARS-CoV-2 infection to surgery. Among 140,231 patients (116 countries), 3127 patients (2.2%) had a pre-operative SARS-CoV-2 diagnosis. Adjusted 30-day mortality in patients without SARS-CoV-2 infection was 1.5% (95%CI 1.4-1.5). In patients with a pre-operative SARS-CoV-2 diagnosis, mortality was increased in patients having surgery within 0-2 weeks, 3-4 weeks and 5-6 weeks of the diagnosis (odds ratio (95%CI) 4.1 (3.3-4.8), 3.9 (2.6-5.1) and 3.6 (2.0-5.2), respectively). Surgery performed ≥ 7 weeks after SARS-CoV-2 diagnosis was associated with a similar mortality risk to baseline (odds ratio (95%CI) 1.5 (0.9-2.1)). After a ≥ 7 week delay in undertaking surgery following SARS-CoV-2 infection, patients with ongoing symptoms had a higher mortality than patients whose symptoms had resolved or who had been asymptomatic (6.0% (95%CI 3.2-8.7) vs. 2.4% (95%CI 1.4-3.4) vs. 1.3% (95%CI 0.6-2.0), respectively). Where possible, surgery should be delayed for at least 7 weeks following SARS-CoV-2 infection. Patients with ongoing symptoms ≥ 7 weeks from diagnosis may benefit from further delay. ispartof: ANAESTHESIA vol:76 issue:6 pages:748-758 ispartof: location:England status: published
Published: 2021

26. Role of Dedicated Cardiac Emergency Unit in Early Identification and Management of Acute Myocardial Infarction in a Developing Country of South Asia

Author: Aamir Hameed Khan, Shiraz Hashmi, Ashmal Kabani, Mazeera Aslam, Farhala Baloch, Saulat H. Fatimi, Javed Tai, and Amina Khan
Subjects: medicine.medical_specialty, Acute coronary syndrome, Cardiology, Developing country, acute myocardial infarction, key performance indicators, 030204 cardiovascular system & hematology, Chest pain, 03 medical and health sciences, 0302 clinical medicine, medicine, Myocardial infarction, business.industry, General Engineering, Emergency department, acute st-elevation myocardial infarction, medicine.disease, cardiac emergency unit, Triage, Quality Improvement, Emergency medicine, Door-to-balloon, Emergency Medicine, Performance indicator, medicine.symptom, business, 030217 neurology & neurosurgery
Abstract: Background The care of patients presenting with chest pain to multidisciplinary services hospital gets compromised due to the busy triage system. A separate and specialized equipped cardiac emergency unit (CAR-ERU) can improve patient's outcomes. Objectives To enhance early recognition and treatment of acute myocardial infarction (AMI) patients. To sustain key performance quality indicators (KPIs) for AMI. Methods In October 2016, a separate CAR-ERU was established inside the multidisciplinary emergency department (MED). A dedicated specialized heart-lung and vascular teams were hired under the supervision of service line leadership. The KPIs that were identified benchmark with international practice guidelines. Data were collected and stored for analysis. Exemption from the ethical review committee was obtained. Results A total of 2914 patients visited CAR-ERU from October 2016 to September 2017 for a period of one year. Out of which 30% were diagnosed with acute coronary syndrome (ACS) and this included 8% diagnosis with ST-segment elevation myocardial infarction (STEMI). Over 98.8% of the electrocardiogram (ECG) was done within 10 minutes of arrival while aspirin was given to 96.5% of patients within one hour. The door to balloon time (DBT) of
Published: 2020

27. Comparing Outcomes in Patients Undergoing Coronary Artery Bypass Grafting With and Without Using the Internal Mammary Artery in a Tertiary Care Hospital

Author: Syed Shahabuddin, Yasir Khan, Shiraz Hashmi, and Shahid Sami
Subjects: medicine.medical_specialty, Bypass grafting, Cardiology, Subgroup analysis, 030204 cardiovascular system & hematology, 03 medical and health sciences, fluids and secretions, 0302 clinical medicine, parasitic diseases, medicine, Stroke, Left internal mammary artery, business.industry, developing country, General Engineering, medicine.disease, Comorbidity, Surgery, Cardiac surgery, medicine.anatomical_structure, left internal mammary artery, Cardiac/Thoracic/Vascular Surgery, Mammary artery, population characteristics, business, geographic locations, 030217 neurology & neurosurgery, Artery
Abstract: Purpose The left internal mammary artery in coronary artery bypass grafting (CABG) is considered to be an important intraoperative quality indicator with excellent long-term results. The purpose of this study is to compare the early outcomes of CABG with and without the left internal mammary artery (LIMA) in the South Asian population and to look for the utilization of LIMA as per the recommendations of the Society of Thoracic Surgeons in a developing country. Materials and methods A retrospective review was carried out for all patients who underwent CABG from 2010 to 2015. Patients were divided into two groups on the basis of whether LIMA was used (Group I) or not used (Group II) as a conduit. Both groups were further subdivided into elective and urgent. Preoperative, intraoperative, and postoperative variables were recorded and compared. Results After exclusion, a total of 2619 patients underwent isolated CABG surgery during the required duration. The LIMA was used in 94% of the patients (n=2472) while 147 patients underwent CABG without LIMA. The use of LIMA was associated with significantly lower mortality (2% LIMA vs 8.8% no LIMA), as well as a decrease in major comorbidity, stroke, and prolonged ventilation. In the subgroup analysis, LIMA usage in elective and urgent cases was associated with significantly lower mortality (elective 1.6% LIMA vs 7.4% No LIMA) (urgent 4.8% LIMA vs 15.7 % no LIMA)) and major morbidity. Conclusion The outcomes of CABG procedures without LIMA were not encouraging. Our results support compliance with standard adult cardiac surgery quality-of-care guidelines.
Published: 2020

28. Major Septal Defects: Comparative Study of Down Syndrome and Non-Down Syndrome Infants, Before and After Surgery

Author: Shiraz Hashmi, Rukhsana Hameed, Laiba Masood, Waris Ahmad, Saleha Aziz, Muneer Amanullah, and Maaha Ayub
Subjects: congenital, hereditary, and neonatal diseases and abnormalities, Down syndrome, medicine.medical_specialty, Atrioventricular, 030204 cardiovascular system & hematology, 03 medical and health sciences, 0302 clinical medicine, 030225 pediatrics, medicine, Risk of mortality, Atrioventricular Septal Defect, Body surface area, Endocardial Cushion Defect, business.industry, Septal Defects, Retrospective cohort study, General Medicine, Odds ratio, Creative commons, medicine.disease, Surgery, Inlet VSD, Aortic cross-clamp, Original Article, Down Syndrome, business, AVSD
Abstract: Objective: To compare pre-operative, intra-operative, and post-operative parameters in Down syndrome (DS) and non-DS patients with atrioventricular septal defects (AVSD) and inlet ventricular septal defects (VSD) in a tertiary care hospital in Pakistan. Methods: We conducted a retrospective study at Aga Khan University, Pakistan. All complete atrioventricular septal defect (CAVSD), partial atrioventricular septal defect (PAVSD), and VSD with inlet extension surgical cases from January 2007 to January 2019 were included. Patients with congenital heart diseases other than those listed above were excluded. Results: In 61 cases, 18 had DS. Median age, mean body surface area (BSA), and height were lower in DS patients compared to non-DS patients: 7.0 vs 23.0 months, 0.311 vs 0.487 m2, and 63 vs 82 cm, respectively. Bypass duration, aortic cross clamp time, post-operative ventilator hours, dose of inotropes, CICU stay, and total hospital stay were all significantly higher in the DS group. The odds ratio (95% CI) for mortality in DS babies was 6.2 (1.4, 27.1), p=0.015, after adjusting for age, weight, and height. The overall morbidity was comparable between the two groups, demonstrating no significant difference after adjusting for confounders. Conclusion: DS babies with AVSD and inlet VSD are at a greater risk of mortality compared to non-DS babies, particularly those with CAVSD. Furthermore, DS babies undergo surgery at a younger age and require more aggressive post-operative therapy and monitoring due to the development of complications. doi: https://doi.org/10.12669/pjms.36.5.1743 How to cite this:Aziz S, Ayub M, Masood L, Amanullah M, Hameed R, Hashmi S, et al. Major Septal Defects: Comparative study of Down Syndrome and Non-Down Syndrome Infants, before and after surgery. Pak J Med Sci. 2020;36(5):925-929. doi: https://doi.org/10.12669/pjms.36.5.1743 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Published: 2020

29. SP244A COMPARISON OF DEFINITIONS (RIFLE, AKIN, AND KDIGO) OF ACUTE KIDNEY INJURY FOR PREDICTION OF OUTCOMES IN ADULTS AFTER ISOLATED CORONARY ARTERY BYPASS GRAFT(CABG) SURGERY

Author: Shiraz Hashmi, Hasanat Sharif, kashif Kashif Kazmi, and sonia Yaqub
Subjects: Transplantation, medicine.medical_specialty, business.industry, Acute kidney injury, Cabg surgery, medicine.disease, Coronary artery bypass surgery, medicine.anatomical_structure, Nephrology, Internal medicine, medicine, Cardiology, Rifle, business, Artery
Published: 2019

30. When surgeons are rarer than resources - our experience with improving access to thoracic surgery in an urban setting: A special report

Author: Mohammad Bin, Pervez, Shiraz, Hashmi, Mehnaz, Jabeen, and Saulat Hasnain, Fatimi
Subjects: Patient Transfer, Postoperative Care, Surgeons, Health Services Needs and Demand, Capacity Building, Echinococcosis, Pulmonary, Critical Care, Thoracic Surgery, Thoracic Surgical Procedures, Health Services Accessibility, Charities, Health Resources, Humans, Pakistan, Health Workforce, Cities, Pneumonectomy
Abstract: With progressive globalisation enabled by technology, there is an increased interest in finding viable solutions to the myriad health problems faced by developing countries. In countries like Pakistan, occasionally the challenge is not a dearth of material resources but rather unavailability of expertise. The current paper was planned to share a model that was successfully implemented in the urban setting of Karachi, Pakistan, from 2012 onwards which significantly improved access to thoracic surgery for underprivileged individuals. Our model focussed on a qualified thoracic surgeon reviving a defunct thoracic surgical unit thereby optimising the use of resources already available in the community. The key to efficient outcomes was direct managerial control by the surgeon who first educated himself in the various processes involved. The model, with its challenges and solutions, has good potential foradaptation in other urban settings in the developing world..
Published: 2019

31. Coronary artery bypass grafting in South Asian patients: Impact of gender

Author: Jamal Kabeer Khan, Shahid Ahmed Sami, Sheema Khan, Shiraz Hashmi, Syed Shahabuddin, and Gulshan Bano
Subjects: medicine.medical_specialty, South asia, Bypass grafting, Population, Coronary artery bypass grafting, Outcomes, 030204 cardiovascular system & hematology, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Medicine, South Asian, education, Original Research, education.field_of_study, business.industry, General Medicine, Surgery, medicine.anatomical_structure, 030228 respiratory system, Postoperative mortality, Asian population, Female, business, Artery
Abstract: Background Outcomes following Coronary artery bypass grafting (GABG) vary between genders, with females having a higher postoperative mortality than males. Most of the studies are on Caucasian or mixed population and it is postulated that Asian population and in particular women have higher morbidity and mortality. In this study we have compared outcomes of elective CABG in men and women of South Asian origin in terms of morbidity and mortality. Methods From January 2006 to December 2012, 1970 patients underwent isolated elective CABG at the Aga Khan University Hospital, Pakistan were selected. The prospectively collected data was analyzed retrospectively including univariate and multivariate analysis to find the association of morbidity and mortality. Results Among the study patients 1664 (85%) were male and 306 (15%) female. Hypertension and diabetes were the most common comorbid conditions seen preoperatively in female patients. Atrial fibrillation and sepsis were the most common postop complications seen in females. In hospital mortality was 3.9% in female underwent CABG as against 0.6% in male. Multivariate analysis showed older age, renal failure, dyslipidemia and prolonged cross clamp time as predictors of postoperative morbidity. Multivariate analysis showed female gender, age and renal failure as predictors of in hospital mortality. Conclusions Female gender is an independent risk factor for postoperative mortality following CABG however, female gender is not found to be independent risk factor for morbidity. The trend of higher mortality in female patients was comparable to most studies done on Caucasian patients., Highlights • This paper gives an account of coronary artery bypass grafting (CABG) surgery performed in South Asian population with special attention to female gender. • This is unique study as far as female patients are concerned in this part of the world. • The female gender itself is a predictor of adverse outcome in terms of mortality. • These results will help in preoperative counseling and suggests vigilant approach in perioperative care in female patients. • It is heartening to note that the results are comparable to international standards.
Published: 2016

32. Repair of ascending aortic pseudoaneurysm eroding through the sternum

Author: Sulaiman B. Hasan, Ghufranullah Khan, Shiraz Hashmi, Fazal Wahab Khan, and Mohammad Usman Tariq
Subjects: Adult, Male, Pulmonary and Respiratory Medicine, Aortic valve, Sternum, medicine.medical_specialty, Computed Tomography Angiography, 030204 cardiovascular system & hematology, Aortography, Left ventricular apex, 03 medical and health sciences, 0302 clinical medicine, medicine, Animals, Humans, cardiovascular diseases, Aged, Aortic pseudoaneurysm, Heart Valve Prosthesis Implantation, Pericardial patch, business.industry, General Medicine, Aortic Aneurysm, Surgery, Circulatory Arrest, Deep Hypothermia Induced, Treatment Outcome, medicine.anatomical_structure, Thoracotomy, 030228 respiratory system, Aortic Valve, cardiovascular system, Deep hypothermic circulatory arrest, Heterografts, Cattle, Female, Functional status, Radiology, Intercostal space, Cardiology and Cardiovascular Medicine, business, Aneurysm, Infected, Pericardium, Vascular Surgical Procedures, Aneurysm, False, Acinetobacter Infections
Abstract: In reoperation for an ascending aortic pseudoaneurysm eroding through the sternum, a left ventricular vent allows careful unhurried sternal division under deep hypothermic circulatory arrest. We repaired ascending aortic pseudoaneurysms in 2 patients who had undergone aortic valve implantation 6 and 21 months earlier. A minithoracotomy was made in the left 5th intercostal space, and a vent was placed in the left ventricular apex. Repair was accomplished with a bovine pericardial patch reinforced with a Teflon felt strip. Both patients made an uneventful recovery with good functional status at discharge at the 8- and 18-month follow-up.
Published: 2017

33. Ruptured mycotic reverse saphenous vein graft aneurysm: A late complication of mediastinitis

Author: Yasir Khan, Shiraz Hashmi, and Saulat H. Fatimi
Subjects: medicine.medical_specialty, medicine.diagnostic_test, business.industry, medicine.medical_treatment, Percutaneous coronary intervention, General Medicine, Mycotic aneurysm, Chest pain, medicine.disease, Mediastinitis, Surgery, Pseudoaneurysm, surgical procedures, operative, Aneurysm, medicine.anatomical_structure, Angiography, cardiovascular system, medicine, cardiovascular diseases, medicine.symptom, business, Artery
Abstract: Reverse saphenous vein graft aneurysm (RSVGA) is a rare complication that occurs after coronary bypass grafting surgery. Mycotic aneurysm of reverse saphenous vein graft is even more rare. We describe the case of a 76-year-old man who underwent coronary artery bypass grafting 10 years back and had mediastinitis four to five months after surgery. He presented with chest pain in July 2017 and was diagnosed as NSTEMI. Angiography showed left main coronary artery disease (90%) with aneurysm of reverse saphenous vein graft to right posterior descending artery(RPDA). Emergent percutaneous coronary intervention (PCI) of the left main artery was performed as the patient suffered ventricular arrhythmia for which cardiopulmonary resuscitation (CPR) was done. After CPR, haematoma appeared on the left side of the sternum subcutaneously. CT scan of the chest was conducted which showed a pseudoaneurysm measuring 35 mm in the mid-segment of reverse saphenous vein graft (RSVG) to the right posterior descending artery (RPDA) with a surrounding mediastinal haematoma communicating with subcutaneous haematoma, so RSVGA to RPDA was coiled. As blood culture grew candida, antifungal medication was started. When the patient's condition stabilised he was discharged.
Published: 2020

34. Direct true lumen versus conventional cannulation for acute type a aortic dissection

Author: Syed Shahabuddin, Shiraz Hashmi, Muhammad Muneer Amanullah, Shahid Ahmed Sami, and Asra Wahid
Subjects: Adult, Male, medicine.medical_specialty, Lumen (anatomy), Dissection (medical), Catheterization, law.invention, law, Statistical significance, medicine, Cardiopulmonary bypass, Humans, Pakistan, Surgical emergency, Retrospective Studies, Aortic dissection, Cardiopulmonary Bypass, business.industry, Mortality rate, General Medicine, Middle Aged, medicine.disease, Surgery, Aortic Dissection, Treatment Outcome, Acute type, business
Abstract: Acute type-A aortic dissection is a surgical emergency and has a high rate of short-term mortality. Aortic dissection is highly under-reported in Pakistan. With the technological developments in its management, arterial cannulation technique of direct true lumen cannulation has emerged with improved outcomes. We aimed to compare the mortality and morbidity outcomes between direct true lumen and conventional cannulation techniques for arterial access in patients with acute type- A aortic dissection under a single-centre retrospective review from 2007 to 2017. Mean age of the participants was 43.3±11.6 vs 45±12.4 years with males being dominant in both groups. Frequency of overall morbidity was high in conventional cannulation group (Group-B), though it did not attain statistical significance, (p>0.999). Mortality rate was also high in Group-B (10% vs 30%), (p=0.582). Direct true lumen cannulation is an equally reliable option for establishing cardiopulmonary bypass due to reduced mortality and morbidity and may be given preference when dissection is extending into femoral and innominate arteries.
Published: 2020

35. Penetrating cardiac trauma: A retrospective case series from Karachi

Author: Hamza Abdur, Rahim Khan, Jaleed Ahmed, Gilani, Muhammad Bin, Pervez, Shiraz, Hashmi, and Sulaiman, Hasan
Subjects: Adult, Male, Adolescent, Heart Ventricles, Wounds, Penetrating, Wounds, Stab, Middle Aged, Young Adult, Heart Injuries, Humans, Pakistan, Wounds, Gunshot, Heart Atria, Retrospective Studies
Abstract: Penetrating cardiac trauma is a medical emergency that commonly affects young men throughout the world. A retrospective review of the records of all patients presenting with cardiac injury was done from January 2000 to December 2015 at our institute. There were 10 cases of such trauma, all of whom were males, 17 to 48 years of age. The most common mechanism of injury was gunshot wounds followed by stab wounds. The Mean Revised Trauma Score was 7.23±0.855. Only 2 out of the total 10 patients died (20% mortality). The Right Ventricle followed by the Left Ventricle was the most common site of injury. Median Sternotomy was the surgical procedure of choice in managing these patients. Pericardial tamponade and Haemothorax were common intra-operative findings. Patients having penetrating cardiac injury presenting with detectable signs of life on arrival to the hospital can be rescued by early surgical intervention.
Published: 2018

36. An Optimized Density-based Algorithm for Anomaly Detection in High Dimensional Datasets

Author: Tanvir Ahmad, Mohammad Najmud Doja, and Adeel Shiraz Hashmi
Subjects: General Computer Science, 010308 nuclear & particles physics, business.industry, Computer science, Big data, 02 engineering and technology, Similarity measure, 01 natural sciences, Similarity (network science), 0103 physical sciences, Scalability, Spark (mathematics), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Anomaly detection, Sensitivity (control systems), business, Focus (optics), Algorithm
Abstract: In this study, the authors aim to propose an optimized density-based algorithm for anomaly detection with focus on high-dimensional datasets. The optimization is achieved by optimizing the input parameters of the algorithm using firefly meta-heuristic. The performance of different similarity measures for the algorithm is compared including both L1 and L2 norms to identify the most efficient similarity measure for high-dimensional datasets. The algorithm is optimized further in terms of speed and scalability by using Apache Spark big data platform. The experiments were conducted on publicly available datasets, and the results were evaluated on various performance metrics like execution time, accuracy, sensitivity, and specificity.
Published: 2018

37. REOPERATION RATES FOR OPEN AND VIDEO-ASSISTED THORACOSCOPIC DECORTICATION: ARE EMPYEMA TUBES THE ANSWER?

Author: Hina Mushtaq, Aleem Manji, M. Pervez, Shiraz Hashmi, Saulat H. Fatimi, and A. Aahil
Subjects: Pulmonary and Respiratory Medicine, medicine.medical_specialty, business.industry, medicine.medical_treatment, medicine, Video assisted, Decortication, Cardiology and Cardiovascular Medicine, Critical Care and Intensive Care Medicine, business, medicine.disease, Empyema, Surgery
Published: 2019

38. Is Grown Up Congenital Heart (GUCH) disease different in a developing country?

Author: Syed, Shahabuddin, Shiraz, Hashmi, Syed Ezze, Rakhshan, Jamal Kabeer, Khan, Shahid Ahmed, Sami, and Muneer, Amanullah
Subjects: Adult, Heart Defects, Congenital, Hospitals, University, Male, Young Adult, Humans, Female, Developing Countries, Retrospective Studies
Abstract: In the current era grown up congenital heart disease (GUCH) patients undergoing surgical interventions are increasing. Most of the interventions in the developed countries are either complex or redo-operations in patients who had previously undergone repair, palliation or correction. However, in the developing countries most of the interventions are primary and corrective. This descriptive retrospective study comprised GUCH patients who underwent surgical intervention for congenital heart disease (CHD) at Aga Khan University Hospital, Karachi, from January 2006 to December 2015. A total of 195 patients had been treated surgically with a mean age of 31.0±13.5 years. Majority of the patients underwent surgical interventions for closure of atrial 109(55.3%) and ventricular 51(26.2%) septal defect. The most common complications were prolonged ventilation 16(8.1%). Overall mortality was 4(2.1%). GUCH in our practice is for primary procedure with simple diagnosis that should have been treated before reaching adulthood as is done in the developed countries.
Published: 2016

39. Big Data Mining Techniques

Author: Tanvir Ahmad and Adeel Shiraz Hashmi
Subjects: Multidisciplinary, Computer science, business.industry, Big data, Novelty, Sampling (statistics), 02 engineering and technology, computer.software_genre, Machine learning, Data set, 030507 speech-language pathology & audiology, 03 medical and health sciences, Incremental learning, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Data mining, Artificial intelligence, 0305 other medical science, Literature survey, business, computer, Big data mining
Abstract: Objectives: The objective of this research work is to discuss the various techniques which can be used for mining of big data viz. sampling, incremental learning, and distributed learning. Methods: For this study, literature survey was done to identify the various techniques employed by different authors to handle large (and streaming) data sets. For each technique, one or more algorithm was chosen and applied on large data sets. The platform for each technique was standardized (R libraries were used for each algorithm). The algorithms were compared on accuracy and time-consumed. Findings: The findings of this research work which conform to the existing literature is that the distributed learning is the best approach in terms of accuracy and time-complexity, for large data sets. However, if the data sets are streaming data sets and we want to perform real-time analysis then sampling or incremental approach are better than distributed approach. Incremental approach provides better accuracy, whereas sampling reduces time-complexity. Novelty: This study is important in the sense that it brings all the three techniques together on a single platform, which hasn’t been done earlier.
Published: 2016

40. An FTO variant is associated with Type 2 diabetes in South Asian populations after accounting for body mass index and waist circumference

Author: Tazeen H. Jafar, Srikanth Bellary, Anthony H. Barnett, M. A. Kelly, Sudhesh Kumar, Dharambir K. Sanghera, A. S. Shera, M. Z. I. Hydrie, Simon D. Rees, Muhammad Islam, Timothy M. Frayling, J. P. O'Hare, Nish Chaturvedi, B. K. Chaudhary, Abdul Basit, Michael N. Weedon, and Shiraz Hashmi
Subjects: education.field_of_study, Waist, business.industry, Endocrinology, Diabetes and Metabolism, Population, nutritional and metabolic diseases, Type 2 Diabetes Mellitus, Type 2 diabetes, Odds ratio, medicine.disease, Obesity, Endocrinology, Diabetes mellitus, Internal Medicine, medicine, education, business, Body mass index, Demography
Abstract: Aims - A common variant, rs9939609, in the FTO (fat mass and obesity) gene is associated with adiposity in Europeans, explaining its relationship with diabetes. However, data are inconsistent in South Asians. Our aim was to investigate the association of the FTO rs9939609 variant with obesity, obesity-related traits and Type 2 diabetes in South Asian individuals, and to use meta-analyses to attempt to clarify to what extent BMI influences the association of FTO variants with diabetes in South Asians. Methods - We analysed rs9939609 in two studies of Pakistani individuals: 1666 adults aged = 40 years from the Karachi population-based Control of Blood Pressure and Risk Attenuation (COBRA) study and 2745 individuals of Punjabi ancestry who were part of a Type 2 diabetes case–control study (UK Asian Diabetes Study/Diabetes Genetics in Pakistan; UKADS/DGP). The main outcomes were BMI, waist circumference and diabetes. Regression analyses were performed to determine associations between FTO alleles and outcomes. Summary estimates were combined in a meta-analysis of 8091 South Asian individuals (3919 patients with Type 2 diabetes and 4172 control subjects), including those from two previous studies. Results - In the 4411 Pakistani individuals from this study, the age-, sex- and diabetes-adjusted association of FTO variant rs9939609 with BMI was 0.45 (95% CI 0.24–0.67) kg/m2 per A-allele (P = 3.0 × 10-5) and with waist circumference was 0.88 (95% CI 0.36–1.41) cm per A-allele (P = 0.001). The A-allele (30% frequency) was also significantly associated with Type 2 diabetes [per A-allele odds ratio (95% CI) 1.18 (1.07–1.30); P = 0.0009]. A meta-analysis of four South Asian studies with 8091 subjects showed that the FTO A-allele predisposes to Type 2 diabetes [1.22 (95% CI 1.14–1.31); P = 1.07 × 10-8] even after adjusting for BMI [1.18 (95% CI 1.10–1.27); P = 1.02 × 10-5] or waist circumference [1.18 (95% CI 1.10–1.27); P = 3.97 × 10-5]. Conclusions - The strong association between FTO genotype and BMI and waist circumference in South Asians is similar to that observed in Europeans. In contrast, the strong association of FTO genotype with diabetes is only partly accounted for by BMI.
Published: 2011

41. Comparing Outcomes in Patients Undergoing Coronary Artery Bypass Grafting With and Without Use of the Internal Mammary Artery in a Tertiary Care Hospital

Author: Shahid Ahmed Sami, Syed Shahabuddin, and Shiraz Hashmi
Subjects: Pulmonary and Respiratory Medicine, medicine.medical_specialty, medicine.anatomical_structure, Bypass grafting, business.industry, Mammary artery, Medicine, In patient, Tertiary care hospital, Cardiology and Cardiovascular Medicine, business, Surgery, Artery
Published: 2018

42. Prevalence of microalbuminuria and associated electrocardiographic abnormalities in an Indo-Asian population

Author: Tazeen H. Jafar, Shiraz Hashmi, and Zeeshan Qadri
Subjects: Male, medicine.medical_specialty, hypertension, microalbuminuria, Population, 030204 cardiovascular system & hematology, Overweight, Electrocardiography, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, cardiovascular disease, Internal medicine, Diabetes mellitus, Prevalence, medicine, Albuminuria, Humans, Pakistan, 030212 general & internal medicine, education, Transplantation, Creatinine, education.field_of_study, Proteinuria, business.industry, Middle Aged, medicine.disease, Obesity, 3. Good health, Endocrinology, Blood pressure, chemistry, Nephrology, Clinical Nephrology, ethnicity, Female, Microalbuminuria, medicine.symptom, business
Abstract: Background. Microalbuminuria (MA) is a known predictor of cardiovascular disease (CVD) in European origin populations, but such data are lacking in native Indo-Asian populations, where CVD risks are high. Major electrocardiographic (ECG) changes are predictive of cardiovascular mortality. We determined the association of MA with major ECG changes in the general population of Pakistan. Methods. A total of 3143 subjects aged ≥40 years from 12 randomly selected communities in Karachi participated. MA was defined as the urine albumin to creatinine (ACR) ratio of < 300 mg/g creatinine and ≥17 mg/g in men and ≥25 mg/g in women from a single-spot morning urine sample. Major changes on ECG were coded in duplicate using Minnesota classification. Results. The mean age of subjects was 51.5 (10.7) years. The median (25–75 percentile) ACR was 4.2 (2.9–7.9) mg/g in men and 6.0 (3.9–10.8) mg/g in women (P < 0.001). The overall prevalence (95% CI) of MA was 12.3% (11.1–13.5%), and 20.3% in those with major ECG changes. In a multivariable model, major ECG changes (OR, 95% CI) (1.50, 1.10–2.00), diabetes (3.57, 2.93–4.35), hypertension (2.30, 1.85–2.86), female sex (0.61, 0.53–0.69), age (1.09, 1.05–1.13, for each 5-year increase) and eGFR (0.80, 0.78–0.81, for each 10 mg/g increase) were independently associated with MA. The presence of MA increased the prevalence of major ECG changes from 21 to 31% in those with hypertension (44.9%), 15 to 28% among those with diabetes (21.4%), 14 to 26% among those with overweight or obesity (68.4%) and 14 to 26% among current users of tobacco (38.7%) (P < 0.001) each. Conclusions. The strong association between MA and major ECG changes underscores the importance of screening Indo-Asian subjects for MA for unmasking underlying CVD, especially those with hypertension, diabetes, obesity, and tobacco users.
Published: 2009

43. Predictive Model for Blood Product Use in Coronary Artery Bypass Grafting

Author: Hasanat, Sharif, Hamza Zaheer, Ansari, Awais, Ashfaq, Wasiq Faraz, Rawasia, Gulshan, Bano, and Shiraz, Hashmi
Subjects: Adult, Male, Postoperative Care, Blood Loss, Surgical, Myocardial Infarction, Plasma Substitutes, Blood Component Transfusion, Middle Aged, Models, Theoretical, Postoperative Hemorrhage, Logistic Models, Postoperative Complications, Treatment Outcome, Humans, Female, Postoperative Period, Coronary Artery Bypass, Aged, Retrospective Studies
Abstract: To build a clinical predictive model to determine the need for transfusing blood and its products in coronary artery bypass grafting (CABG) procedures in South East Asian population.Analytical study.Section of Cardiothoracic Surgery, Aga Khan University Hospital, Karachi, from January 2006 to October 2014.Information on pre-, intra- and postoperative variables were collected for all adult patients who underwent on-pump CABG. The patients grouped into those who received blood and its components, and those who did not. Aunivariate as well as multivariate logistic model was built to determine the predictors of transfusion.A total of 3,550 patients underwent CABG and males were dominant in both groups (75 vs. 93%). The transfusion rate was 56.4% (n=2001). Age (adjusted OR 1.03, p0.001), obesity (1.50, p=0.001), tobacco use (1.29, p=0.001), and male gender (4.51, p0.001) found to be a stronger predictor. Among preoperative comorbidities, diabetes (1.20, p=0.016), myocardial infarction (1.22, p=0.009), preoperative creatinine (1.12, p=0.033), and left main vessel disease of50% (1.49, p0.001) were independently associated with the outcome. Compared to elective cases, transfusion rates were high in urgent and emergent cases (OR: 1.93 and 3.36 respectively, p0.001 for both).Age, male gender, obesity, tobacco use, diabetes, myocardial infarction, high creatinine, urgent and emergent cases were independent predictors of transfusion in CABG procedure. This model can be utilized for preoperative risk stratification of patients and their management to improve the outcomes.
Published: 2014

44. Association of parental blood pressure with retinal microcirculatory abnormalities indicative of endothelial dysfunction in children

Author: Shiraz Hashmi, Tazeen H. Jafar, Alun D. Hughes, Muhammad Islam, Nish Chaturvedi, and Rasool Bux
Subjects: Male, Parents, medicine.medical_specialty, Adolescent, Physiology, Offspring, Population, Blood Pressure, Diagnostic Techniques, Ophthalmological, Essential hypertension, Risk Factors, Internal medicine, Internal Medicine, medicine, Familial predisposition, Humans, Pakistan, Endothelial dysfunction, Family history, education, Child, education.field_of_study, business.industry, Microcirculation, Retinal Vessels, medicine.disease, Low birth weight, Arterioles, Blood pressure, Endocrinology, Cross-Sectional Studies, Hypertension, Female, Endothelium, Vascular, medicine.symptom, Cardiology and Cardiovascular Medicine, business
Abstract: OBJECTIVE Microcirculatory abnormalities precede the onset of hypertension and may explain its familial nature. We examined the relationship between parental blood pressure (BP) and offspring retinal microvasculature in Pakistani trios [father, mother, and child (aged 9-14 years)]. METHODS This is a substudy of a population-based trial of BP reduction. Data were available on 358 normotensive, and 410 offspring of at least one hypertensive parent. Retinal vessel characteristics were measured from digital images. Multivariable linear regression models were built to assess the associations between maternal and paternal BP and offspring retinal microvasculature. RESULTS Optimality deviation was greatest in offspring of two hypertensive parents, compared with those with one or no hypertensive parent (P=0.030 for trend). Paternal SBP and DBP were each significantly associated with optimality deviation in offspring (P=0.023 and P=0.006, respectively). This relationship persisted after accounting for offspring cardiovascular risk factors [increase in optimality deviation (95% confidence interval, CI) 0.0053 (0.0001-0.0106, P=0.047) and 0.0109 (0.0025-0.0193, P=0.011), for each 10 mmHg increase in paternal SBP and DBP, respectively]. Maternal DBP was inversely associated with offspring arteriovenous ratio -0.0102 (-0.0198 to -0.0007, P=0.035). CONCLUSION Microvascular endothelial dysfunction in children is associated with increasing levels of parental hypertension. The association with paternal BP is independent of other cardiovascular risk factors, including the child's BP. Higher maternal DBP is associated with evidence of arteriolar narrowing in offspring. These early microcirculatory changes may help explain familial predisposition to hypertension in people of Pakistani origin at an early age. VIDEO ABSTRACT
Published: 2014

45. Big Data Mining Techniques

Author: Shiraz Hashmi, Adeel, primary and Ahmad, Tanvir, additional
Published: 2016
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46. AN OPTIMIZED DENSITY-BASED ALGORITHM FOR ANOMALY DETECTION IN HIGH DIMENSIONAL DATASETS.

Author: ADEEL SHIRAZ HASHMI, MOHAMMAD NAJMUD DOJA, and AHMAD, TANVIR
Subjects: DATA mining, MATHEMATICAL optimization, COMPUTER algorithms, SCALABILITY, ACCURACY
Abstract: In this study, the authors aim to propose an optimized density-based algorithm for anomaly detection with focus on high-dimensional datasets. The optimization is achieved by optimizing the input parameters of the algorithm using firefly meta-heuristic. The performance of different similarity measures for the algorithm is compared including both L1 and L2 norms to identify the most efficient similarity measure for high-dimensional datasets. The algorithm is optimized further in terms of speed and scalability by using Apache Spark big data platform. The experiments were conducted on publicly available datasets, and the results were evaluated on various performance metrics like execution time, accuracy, sensitivity, and specificity. [ABSTRACT FROM AUTHOR]
Published: 2018
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47. Big Data Mining: Tools & Algorithms

Author: Adeel Shiraz Hashmi and Tanvir Ahmad
Subjects: 0106 biological sciences, Complex data type, Computer engineering. Computer hardware, Computer science, Data stream mining, business.industry, Process (engineering), Science, Big data, ComputerApplications_COMPUTERSINOTHERSYSTEMS, 02 engineering and technology, computer.software_genre, 010603 evolutionary biology, 01 natural sciences, Data science, TK7885-7895, Distributed algorithm, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Data mining, business, Algorithm, computer, Big data mining
Abstract: We are now in Big Data era, and there is a growing demand for tools which can process and analyze it. Big data analytics deals with extracting valuable information from that complex data which can’t be handled by traditional data mining tools. This paper surveys the available tools which can handle large volumes of data as well as evolving data streams. The data mining tools and algorithms which can handle big data have also been summarized, and one of the tools has been used for mining of large datasets using distributed algorithms.
Published: 2016

48. Community based lifestyle intervention for blood pressure reduction in children and young adults in developing country: cluster randomised controlled trial

Author: Salma H. Badruddin, Juanita Hatcher, Ayesha Khan, Tazeen H. Jafar, Neil R Poulter, Nish Chaturvedi, M. Mazharul Islam, Rasool Bux, Shiraz Hashmi, Imperial College Healthcare NHS Trust- BRC Funding, and National Institute for Health Research
Subjects: Male, Blood Pressure, 030204 cardiovascular system & hematology, CORONARY HEART-DISEASE, law.invention, 0302 clinical medicine, Randomized controlled trial, law, Diastole, STANFORD 5-CITY PROJECT, Health care, CARDIOVASCULAR RISK-FACTORS, Cluster Analysis, Pakistan, 030212 general & internal medicine, Cluster randomised controlled trial, Child, Health Education, POPULATION, General Environmental Science, Community Health Workers, education.field_of_study, 1. No poverty, General Engineering, Child Health, General Medicine, Home Care Services, 3. Good health, 1117 Public Health And Health Services, Child, Preschool, Health education, Female, Life Sciences & Biomedicine, STROKE, Adult, medicine.medical_specialty, Adolescent, Systole, Population, Adolescent Health, NORTH-KARELIA, UNITED-STATES, Health Promotion, 03 medical and health sciences, Young Adult, Medicine, General & Internal, General & Internal Medicine, Hypertension Research Group, medicine, Humans, education, Developing Countries, Life Style, Intention-to-treat analysis, Science & Technology, HYPERTENSION, business.industry, Research, MORTALITY, Clinical Trials (Epidemiology), Clinical trial, Blood pressure, HEALTH-CARE, Physical therapy, General Earth and Planetary Sciences, business
Abstract: Objective To assess the effectiveness of a community based lifestyle intervention on blood pressure in children and young adults in a developing country setting. Design Cluster randomised controlled trial. Setting 12 randomly selected geographical census based clusters in Karachi, Pakistan. Participants 4023 people aged 5-39 years. Intervention Three monthly family based home health education delivered by lay health workers. Main outcome measure Change in blood pressure from randomisation to end of follow-up at 2 years. Results Analysed using the intention to treat principle, the change in systolic blood pressure (adjusted for age, sex, and baseline blood pressure) was significant; it increased by 1.5 (95% confidence interval 1.1 to 1.9) mm Hg in the control group and by 0.1 (−0.3 to 0.5) mm Hg in the home health education group (P for difference between groups=0.02). Findings for diastolic blood pressure were similar; the change was 1.5 mm Hg greater in the control group than in the intervention group (P=0.002). Conclusions Simple, family based home health education delivered by trained lay health workers significantly ameliorated the usual increase in blood pressure with age in children and young adults in the general population of Pakistan, a low income developing country. This strategy is potentially feasible for up-scaling within the existing healthcare systems of Indo-Asia. Trial registration Clinical trials NCT00327574.
Published: 2010

49. Community-based interventions to promote blood pressure control in a developing country: a cluster randomized trial

Author: Tazeen H. Jafar, Salma H. Badruddin, Rasool Bux, Juanita Hatcher, Neil R Poulter, Zeeshan Qadri, Nish Chaturvedi, Aamir Hameed, Shiraz Hashmi, M. Mazharul Islam, Ayesha Khan, Ata Khan, and Fahim H. Jafary
Subjects: Male, Pediatrics, medicine.medical_specialty, Hemodynamics, Sensitivity and Specificity, Prehypertension, law.invention, Randomized controlled trial, Patient Education as Topic, law, Internal Medicine, medicine, Odds Ratio, Humans, Pakistan, Cluster randomised controlled trial, Developing Countries, Antihypertensive Agents, Community Health Workers, business.industry, Physicians, Family, General Medicine, Odds ratio, Middle Aged, Clinical trial, Blood pressure, Emergency medicine, Hypertension, Patient Compliance, Health education, Education, Medical, Continuing, Female, business
Abstract: Background: Despite convincing evidence that lowering blood pressure decreases cardiovascular morbidity and mortality, the hypertension burden remains high and control rates are poor in developing countries. Objective: To assess the effectiveness of 2 community-based interventions on blood pressure in hypertensive adults. Design: Cluster randomized, 2 x 2 factorial, controlled trial. (ClinicalTrials. gov registration number: NCT00327574) Setting: 12 randomly selected communities in Karachi, Pakistan. Patients: 1341 patients 40 years or older with hypertension (systolic blood pressure ≥140 mm Hg, diastolic blood pressure ≥90 mm Hg, or already receiving treatment). Measurements: Reduction in systolic blood pressure from baseline to end of follow-up at 2 years. Intervention: Family-based home health education (HHE) from lay health workers every 3 months and annual training of general practitioners (GPs) in hypertension management. Results: The age, sex, and baseline blood pressure-adjusted decrease in systolic blood pressure was significantly greater in the HHE and GP group (10.8 mm Hg [95% CI, 8.9 to 12.8 mm Hg]) than in the GP-only, HHE-only, or no intervention groups (5.8 mm Hg [CI, 3.9 to 7.7 mm Hg] in each; P < 0.001). The interaction between the main effects of GP training and HHE on the primary outcome approached significance (interaction P = 0.004 in intention-to-treat analysis and P = 0.044 in per-protocol analysis). Limitations: Follow-up blood pressure measurements were missing for 22% of patients. No mechanism was detected by which interventions lowered blood pressure. Conclusion: Family-based HHE delivered by trained lay health workers, coupled with educating GPs on hypertension, can lead to significant blood pressure reductions among patients with hypertension in Pakistan. Both strategies in combination may be feasible for upscaling within the existing health care systems of Indo-Asian countries. Primary Funding Source: Wellcome Trust. © 2009 American College of Physicians.
Published: 2009

50. GP-ELM-RNN: Garson-pruned extreme learning machine based replicator neural network for anomaly detection

Author: Adeel Shiraz Hashmi and Tanvir Ahmad
Subjects: Anomaly detection, Big data, Garson algorithm, Replicator neural network, Extreme learning machine, Electronic computers. Computer science, QA75.5-76.95
Abstract: Replicator Neural Network (RNN) is a popular algorithm for anomaly detection, but finding optimal number of hidden layers and then finding optimal number of neurons in each hidden layer is quite a challenging and time-consuming task. Extreme Learning Machines (ELM) are neural networks with single-hidden layer but the learning algorithm is different and faster than back-propagation. ELM-based RNNs solve our problem of determining the number of hidden layers and the learning algorithm is also faster than gradient-descent based RNN. The problem of identifying the optimal number of neurons in the hidden layer can be solved by Garson algorithm. In this work, the author propose an optimal Replicator Neural Network which is optimized using ELM learning and Garson algorithm for anomaly detection. The experimental results show that the proposed method is fast as well as highly accurate.
Published: 2022
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