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4,789 results on '"Noel, C"'

102. Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)

Author

Gutman, David, Codella, Noel C. F., Celebi, Emre, Helba, Brian, Marchetti, Michael, Mishra, Nabin, and Halpern, Allan

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

In this article, we describe the design and implementation of a publicly accessible dermatology image analysis benchmark challenge. The goal of the challenge is to sup- port research and development of algorithms for automated diagnosis of melanoma, a lethal form of skin cancer, from dermoscopic images. The challenge was divided into sub-challenges for each task involved in image analysis, including lesion segmentation, dermoscopic feature detection within a lesion, and classification of melanoma. Training data included 900 images. A separate test dataset of 379 images was provided to measure resultant performance of systems developed with the training data. Ground truth for both training and test sets was generated by a panel of dermoscopic experts. In total, there were 79 submissions from a group of 38 participants, making this the largest standardized and comparative study for melanoma diagnosis in dermoscopic images to date. While the official challenge duration and ranking of participants has concluded, the datasets remain available for further research and development.

Published
2016

103. Large spatially-resolved rectification in a donor-acceptor molecular heterojunction

Author

Smerdon, Joseph A., Giebink, Noel C., Guisinger, Nathan P., Darancet, Pierre, and Guest, Jeffrey R.

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics
Abstract

We demonstrate that rectification ratios (RR) of >250 (>1000) at biases of 0.5 V (1.2 V) are achievable at the two-molecule limit for donor-acceptor bilayers of pentacene on fullerene on Cu using scanning tunneling spectroscopy and microscopy. Using first-principles calculations, we show that the system behaves as a molecular Schottky diode with a tunneling transport mechanism from semiconducting pentacene to Cu-hybridized metallic fullerene. Low-bias RRs vary by two orders-of-magnitude at the edge of these molecular heterojunctions due to increased Stark shifts and confinement effects.

Published
2016
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110. Pharmacist-Driven Strategies for Hypertension Management in Los Angeles: A Community and Stakeholder Needs Assessment, 2014–2015

Author

Barragan, Noel C, DeFosset, Amelia R, Torres, Jennifer, and Kuo, Tony

Subjects
Health Services and Systems, Health Sciences, Clinical Research, Health Services, Adult, Community Participation, Community Pharmacy Services, Female, Health Policy, Humans, Hypertension, Legislation, Pharmacy, Los Angeles, Male, Middle Aged, Pharmacists, Public Health and Health Services, Epidemiology, Health services and systems, Public health
Abstract

In 2014, the Los Angeles County Department of Public Health received federal funding to improve the prevention and control of hypertension in the population through team-based health care delivery models, such as pharmacist-led medication therapy management. To inform this work, the department conducted a 3-part needs assessment consisting of 1) a targeted context scan of regional policies and efforts, 2) a key stakeholder survey, and 3) a public opinion internet-panel survey of Los Angeles residents. Results suggest that political will and professional readiness exists for expansion of pharmacist-led medication management strategies in Los Angeles. However, several infrastructure and economic barriers, such as a lack of sufficient payment or reimbursement mechanisms for these services, impede progress. The department is using assessment results to address barriers and shape efforts in scaling up pharmacist-led programming in Los Angeles.

Published
2017

112. BCN20000: dermoscopic lesions in the wild

Author

Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. IDEAI-UPC - Intelligent Data sciEnce and Artificial Intelligence Research Group, Hernández Pérez, Carlos, Combalia Escudero, Marc, Podlipnik, Sebastian, Codella, Noel C. F., Rotemberg, Veronica, Halpern, Allan C., Reiter, Ofer, Carrera Álvarez, Cristina, Barreiro Capurro, Alicia, Helba, Brian, Puig Sardá, Susana, Vilaplana Besler, Verónica, Malvehy Guilera, Josep, Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. IDEAI-UPC - Intelligent Data sciEnce and Artificial Intelligence Research Group, Hernández Pérez, Carlos, Combalia Escudero, Marc, Podlipnik, Sebastian, Codella, Noel C. F., Rotemberg, Veronica, Halpern, Allan C., Reiter, Ofer, Carrera Álvarez, Cristina, Barreiro Capurro, Alicia, Helba, Brian, Puig Sardá, Susana, Vilaplana Besler, Verónica, and Malvehy Guilera, Josep

Abstract

Advancements in dermatological artificial intelligence research require high-quality and comprehensive datasets that mirror real-world clinical scenarios. We introduce a collection of 18,946 dermoscopic images spanning from 2010 to 2016, collated at the Hospital Clínic in Barcelona, Spain. The BCN20000 dataset aims to address the problem of unconstrained classification of dermoscopic images of skin cancer, including lesions in hard-to-diagnose locations such as those found in nails and mucosa, large lesions which do not fit in the aperture of the dermoscopy device, and hypo-pigmented lesions. Our dataset covers eight key diagnostic categories in dermoscopy, providing a diverse range of lesions for artificial intelligence model training. Furthermore, a ninth out-of-distribution (OOD) class is also present on the test set, comprised of lesions which could not be distinctively classified as any of the others. By providing a comprehensive collection of varied images, BCN20000 helps bridge the gap between the training data for machine learning models and the day-to-day practice of medical practitioners. Additionally, we present a set of baseline classifiers based on state-of-the-art neural networks, which can be extended by other researchers for further experimentation., We acknowledge the support of the International Skin Imaging Collaboration (ISIC). This research was supported by the Spanish Research Agency (AEI) under project PID2020-116907RB-I00 of the call MCIN/ AEI /10.13039/501100011033 and the project 718/C/2019 with id 201923-30 and 201923-31, funded by Fundació la Marató de TV3, iTOBOs grant from the European Union’s Horizon 2020 research and innovation programme num 965221. Other funding sources include the Melanoma Research Alliance Young Investigator Award 614197. This research was funded in part through the NIH/NCI Cancer Center Support Grant P30 CA008748., Peer Reviewed, Postprint (published version)

Published
2024

113. The Effects of COVID-19 Pandemic to the Career Expectation in Hospitality Industry among the Hospitality Management Students of Bestlink College of the Philippines: Vol.3, No.1B

Author

Camacho, John Rex C., Catuira, John Ferdinand M., Garcia Jr., Noel C., Madrideo, Monica G., Ponce, Jolina E., Camacho, John Rex C., Catuira, John Ferdinand M., Garcia Jr., Noel C., Madrideo, Monica G., and Ponce, Jolina E.

Abstract

In today's world, the hospitality industry has experienced massive declines due to the uncertainties of the COVID-19 pandemic, affecting people's lives in various ways. The pandemic has unexpectedly impacted the hospitality industry worldwide, including in the Philippines. The industry relies heavily on business and leisure travel for revenue, but due to the pandemic's travel restrictions it has caused the displacement of tourists and hospitality professionals. According to the Official Airline Guide (OAG) Aviation Worldwide, the travel restrictions on international flights have caused the global airline industry's losses of $880 billion. The COVID-19 pandemic could result in the loss of 50 million jobs globally in the travel and tourism sector, according to a warning from the World Travel & Tourism Council.    A descriptive research design using the quantitative method was utilized in this research to identify the effects of the COVID-19 pandemic on the career expectations of Hospitality Management students in the hospitality industry. The study was conducted at Bestlink College of the Philippines, with 100 respondents chosen from each level from first to fourth year. According to the survey's findings, the lack of learning resources and the need for additional training and skills are the two biggest impacts of the COVID-19 pandemic on students' expectations for their future careers in the hospitality sector. The researchers noted that instructors should guide their students in their career choices by providing efficient and effective learning materials to be more competent and productive. In addition, they need to build industry links and collaborate with them to take the National Certificate (NC ll) in a more accessible manner. The researchers recommend students read and learn on their own effectively. Students should also be familiar with their possible careers and analyze what skills they can possess or not.

Published
2024

114. Three-Dimensional Multi-Task Deep Learning Model to Detect Glaucomatous Optic Neuropathy and Myopic Features From Optical Coherence Tomography Scans: A Retrospective Multi-Centre Study

Author

An Ran Ran, Xi Wang, Poemen P. Chan, Noel C. Chan, Wilson Yip, Alvin L. Young, Mandy O. M. Wong, Hon-Wah Yung, Robert T. Chang, Suria S. Mannil, Yih Chung Tham, Ching-Yu Cheng, Hao Chen, Fei Li, Xiulan Zhang, Pheng-Ann Heng, Clement C. Tham, and Carol Y. Cheung

Subjects
artificial intelligence, deep learning, multi-task, glaucomatous optic neuropathy, glaucoma, myopic features, Medicine (General), R5-920
Abstract

PurposeWe aim to develop a multi-task three-dimensional (3D) deep learning (DL) model to detect glaucomatous optic neuropathy (GON) and myopic features (MF) simultaneously from spectral-domain optical coherence tomography (SDOCT) volumetric scans.MethodsEach volumetric scan was labelled as GON according to the criteria of retinal nerve fibre layer (RNFL) thinning, with a structural defect that correlated in position with the visual field defect (i.e., reference standard). MF were graded by the SDOCT en face images, defined as presence of peripapillary atrophy (PPA), optic disc tilting, or fundus tessellation. The multi-task DL model was developed by ResNet with output of Yes/No GON and Yes/No MF. SDOCT scans were collected in a tertiary eye hospital (Hong Kong SAR, China) for training (80%), tuning (10%), and internal validation (10%). External testing was performed on five independent datasets from eye centres in Hong Kong, the United States, and Singapore, respectively. For GON detection, we compared the model to the average RNFL thickness measurement generated from the SDOCT device. To investigate whether MF can affect the model’s performance on GON detection, we conducted subgroup analyses in groups stratified by Yes/No MF. The area under the receiver operating characteristic curve (AUROC), sensitivity, specificity, and accuracy were reported.ResultsA total of 8,151 SDOCT volumetric scans from 3,609 eyes were collected. For detecting GON, in the internal validation, the proposed 3D model had significantly higher AUROC (0.949 vs. 0.913, p < 0.001) than average RNFL thickness in discriminating GON from normal. In the external testing, the two approaches had comparable performance. In the subgroup analysis, the multi-task DL model performed significantly better in the group of “no MF” (0.883 vs. 0.965, p-value < 0.001) in one external testing dataset, but no significant difference in internal validation and other external testing datasets. The multi-task DL model’s performance to detect MF was also generalizable in all datasets, with the AUROC values ranging from 0.855 to 0.896.ConclusionThe proposed multi-task 3D DL model demonstrated high generalizability in all the datasets and the presence of MF did not affect the accuracy of GON detection generally.

Published
2022
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120. An examination of a juvenile justice diversion program for youth with mental health needs and traumatic stress symptoms: a strengths-based approach.

Author

Summersett Williams, Faith, Sax, Rachel M., Slesinger, Noel C., Jordan, Neil, Sharp, Doug, Yazin, Noshwerwan, Martinovich, Zoran, and Fehrenbach, Tracy

Subjects
CRIMINALS with mental illness, MENTAL illness, PROTECTIVE factors, YOUTH health, MENTAL health, JUVENILE offenders
Abstract

Mental health and traumatic stress symptoms are prevalent in juvenile offenders, yet research on diversion programs rarely examine these important outcomes. Program duration and the role of protective factors are also understudied in this literature. This study examined the impact of program duration and youth protective factors on mental health and traumatic stress symptoms of 713 youth participating in an Illinois diversion program. Overall, the more time youth spent in the diversion program, the more improvement they demonstrated in mental health and trauma symptoms. Both program duration and number of youth strengths at program entry were significantly associated with improvement in mental health and traumatic stress symptoms. Findings highlight the importance of program duration and suggest that youth protective factors should be identified early on and targeted to maximize the impact of juvenile justice diversion programs on mental health and trauma symptoms. [ABSTRACT FROM AUTHOR]

Published
2024
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121. Partnering with Local Schools of Traditional Chinese Medicine to Provide Accessible Acupuncture Services for Pain Management in a Group of Low-Income Hispanics/Latinos.

Author

Dionicio, Patricia, Gonzalez, Eloisa, Menendez, Telma, Barragan, Noel C., Mendoza, Cynthia, Kuo, Tony, and Robles, Brenda

Subjects
CHRONIC pain treatment, CHINESE medicine, HEALTH services accessibility, SCALE analysis (Psychology), SELF-evaluation, HISPANIC Americans, SCHOOLS, EDUCATIONAL outcomes, MEDICAL care, ACUPUNCTURE, DESCRIPTIVE statistics, CHI-squared test, PAIN management, CONCEPTUAL structures, SOCIODEMOGRAPHIC factors, DATA analysis software, POVERTY, ADULTS
Abstract

This field report describes the accessibility and perceived effectiveness of a free acupuncture program among a group of predominantly low-income Hispanic/Latino adults. Surveys, developed based on the Levesque Conceptual Framework of Access to Health Care, were administered to clients. Baseline (n = 245) and 6-week follow-up (n = 79) surveys were analyzed to document early program findings. A majority of clients were Hispanic/Latino (72.7%) and female (73.1%). Most reported their original pain complaint was treated very well/well (98.7%). Clients reported an average 1.2 points pain level decrease (scale 1–10) at follow-up (p < 0.0001). Early program results suggest this acupuncture program was accessible and well received by low-income Hispanics/Latinos. [ABSTRACT FROM AUTHOR]

Published
2024
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122. Developing a privacy-preserving deep learning model for glaucoma detection: a multicentre study with federated learning.

Author

An Ran Ran, Xi Wang, Chan, Poemen P., Wong, Mandy O. M., Yuen, Hunter, Nai Man Lam, Chan, Noel C. Y., Yip, Wilson W. K., Young, Alvin L., Hon-Wah Yung, Chang, Robert T., Mannil, Suria S., Yih-Chung Tham, Ching-Yu Cheng, Tien Yin Wong, Chi Pui Pang, Pheng-Ann Heng, Tham, Clement C., and Cheung, Carol Y.

Abstract

Background Deep learning (DL) is promising to detect glaucoma. However, patients' privacy and data security are major concerns when pooling all data for model development. We developed a privacy-preserving DL model using the federated learning (FL) paradigm to detect glaucoma from optical coherence tomography (OCT) images. Methods This is a multicentre study. The FL paradigm consisted of a 'central server' and seven eye centres in Hong Kong, the USA and Singapore. Each centre first trained a model locally with its own OCT optic disc volumetric dataset and then uploaded its model parameters to the central server. The central server used FedProx algorithm to aggregate all centres' model parameters. Subsequently, the aggregated parameters are redistributed to each centre for its local model optimisation. We experimented with three three-dimensional (3D) networks to evaluate the stabilities of the FL paradigm. Lastly, we tested the FL model on two prospectively collected unseen datasets. Results We used 9326 volumetric OCT scans from 2785 subjects. The FL model performed consistently well with different networks in 7 centres (accuracies 78.3%-98.5%, 75.9%-97.0%, and 78.3%-97.5%, respectively) and stably in the 2 unseen datasets (accuracies 84.8%-87.7%, 81.3%-84.8%, and 86.0%-87.8%, respectively). The FL model achieved non-inferior performance in classifying glaucoma compared with the traditional model and significantly outperformed the individual models. Conclusion The 3D FL model could leverage all the datasets and achieve generalisable performance, without data exchange across centres. This study demonstrated an OCT-based FL paradigm for glaucoma identification with ensured patient privacy and data security, charting another course toward the real-world transition of artificial intelligence in ophthalmology. [ABSTRACT FROM AUTHOR]

Published
2024
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123. Vacuum deposition of χ(2) nonlinear organic single crystal films on silicon.

Author

Krainova, Nina, Johnson, Holly M., Lampande, Raju, Gao, Siyu, Marom, Noa, Rand, Barry P., and Giebink, Noel C.

Subjects
SINGLE crystals, VACUUM deposition, SILICON films, SILICON crystals, SECOND harmonic generation
Abstract

Integrating second order nonlinear ( χ (2) ) optical materials on chip is an ongoing challenge for Si photonics. Noncentrosymmetric molecular crystals have the potential to deliver high χ (2) nonlinearity with good thermal stability, but so far have been limited to growth from solution or the melt, which are both difficult to control and scale up in manufacturing. Here, we show that large (>100 μm) single crystal domains of the nonlinear molecule 2-[3-(4-hydroxystyryl)-5,5-dimethylcyclohex-2-enylidene] malononitrile (OH1) can be grown monolithically on either glass or Si via vacuum evaporation, followed by a short thermal annealing step. The crystallites are tens of nanometer thick and exhibit strong second harmonic generation with their primary χ (2) tensor component lying predominantly in plane. Remarkably, we find that a single domain can grow uninterrupted through nearby channels etched on a Si wafer, which may provide a path to integrate OH1 on Si or Si3N4 waveguides for a broad range of χ (2) -based photonic integrated circuit functionality. [ABSTRACT FROM AUTHOR]

Published
2024
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126. Delivery of Comprehensive Medication Management and Other Clinical Services via Telehealth by Pharmacy Type.

Author

Green, Gabrielle, Barragan, Noel C., Abraham, Jessica, Chen, Steven, and Kuo, Tony

Subjects
*RESEARCH funding, *MEDICAL care, *TELEMEDICINE, *PHARMACISTS, *MEDICATION therapy management, *DRUGSTORES, *PSYCHOSOCIAL factors, *COVID-19 pandemic
Abstract

Background: The recent coronavirus pandemic accelerated the need to deliver pharmacy-related services remotely. Objective: To describe experiences with providing comprehensive medication management (CMM) and other clinical services via telehealth by pharmacy type, before and during the COVID-19 pandemic. Methods: An online survey of pharmacists, representing 27 pharmacies, was conducted to capture telehealth usage in three pharmacy types: independently owned, integrated into a clinical setting, and retail chain. A sub-analysis was performed to assess if providing CMM services via telehealth helped, resulted in no change, or worsened the care of different patient groups (e.g., those with diabetes, were low-income, aged 65+ years). Results: During the pandemic, telehealth usage among independently owned pharmacies and those integrated into a clinical setting increased, but no change occurred among retail chain pharmacies. This usage increase in the first two pharmacy types occurred despite limited investments in connectivity-related resources to support telehealth services. Pharmacists from both independently owned pharmacies (63%) and those integrated into a clinical setting (89%) reported CMM via telehealth reached patients they would not otherwise have been able to reach during the pandemic. Most pharmacists/pharmacies found telehealth to be a feasible and acceptable method of delivering CMM. Conclusion: Pharmacists and pharmacies are now experienced with and have interest in continuing CMM via telehealth, even as the pandemic recedes. However, investments in telecommunications resources, training support, technical assistance, and continued telehealth reimbursement from health plans are needed to sustain this service delivery model. [ABSTRACT FROM AUTHOR]

Published
2024
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128. Women’s health in Serbia - past, present, and future

Author

Parapid Biljana, Kanjuh Vladimir, Kostić Vladimir, Polovina Snežana, Dinić Milan, Lončar Zlatibor, Lalić Katarina, Gojnić-Dugalić Miroslava, Nedeljković Milan, Lazić Branka, Milošević Maja, Simić Dragan, Nešković Aleksandar, Harrington Robert A., Valentine Michael C., Santos Volgman Annabelle, Lewis Sandra J., Đukić-Dejanović Slavica, Mitchell Stephen Ray, Bond Rachel M., Waksman Ron, Alasnag Mirvat, Bairey-Merz Noel C., Gaita Dan, Mischie Alexandru, Karamarković Nemanja, Rakić Snežana, Mrkić Mirko, Tasovac Marija, Devrnja Vuk, Bubanja Dragana, and Kass Wenger Nanette

Subjects
covid-19, sex differences, pregnancy, women in cardiology, discrimination, diversity, inclusion, Medicine
Abstract

Cardiovascular and reproductive health of women have been going hand in hand since the dawn of time, yet links have been poorly studied. Still, once basis of their connections started to be established, it depended on local regional abilities and level of progressive thinking to afford women comprehensive care beyond the “bikini medicine”. Further research identified different associations rendering more conditions sex-specific and launching therefore a slow, yet initial turn around in clinical trials’ concept as the majority of global cardiovascular guidelines rely on the results of research conducted on a very modest percentage of women and even less on the women of color. Currently, the concept of women’s heart centers varies depending on the local demographics’ guided needs, available logistics driven by budgeting and societal support of a broad-minded thinking environment, free of bias for everyone: from young adults questioning their gender identity, via women of reproductive age both struggling to conceive or keep working part time when healthy and line of work permits it during pregnancy, up to aging and the elderly. Using “Investigate-Educate-Advocate-Legislate” as the four pillars of advancing cardiovascular care of women, we aimed to summarize standing of women’s health in Serbia, present ongoing projects and propose actionable solutions for the future.

Published
2021
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137. Guidance for the gastrointestinal evaluation and management of iron deficiency in Sub-Saharan Africa

Author

Simmonds, W M, primary, Awuku, Y, additional, Barrett, C, additional, Brand, M, additional, Davidson, K, additional, Epstein, D, additional, Fredericks, E, additional, Gabriel, S, additional, Grobler, S, additional, Gounden, C, additional, Katsidzira, L, additional, Louw, V J, additional, Naidoo, V, additional, Noel, C, additional, Ogutu, E, additional, Ramonate, N, additional, Seabi, N, additional, Setshedi, M, additional, Van Zyl, J, additional, Watermeyer, G, additional, and Kassianides, C, additional

Published
2024
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143. Sex differences in non-alcoholic fatty liver disease: hints for future management of the disease

Author

Noel C. Salvoza, Pablo J. Giraudi, Claudio Tiribelli, and Natalia Rosso

Subjects
nonalcoholic fatty liver disease, sex differences, hormones, inflammation, oxidative stress, insulin resistance, lipid metabolism, gut microbiota, metabolites, Other systems of medicine, RZ201-999
Abstract

Non-alcoholic fatty liver disease (NAFLD) remains a major cause of chronic liver disease worldwide. Despite extensive studies, the heterogeneity of the risk factors as well as different disease mechanisms complicate the goals toward effective diagnosis and management. Recently, it has been shown that sex differences play a role in the prevalence and progression of NAFLD. In vitro, in vivo, and clinical studies revealed that the lower prevalence of NAFLD in premenopausal as compared to postmenopausal women and men is mainly due to the protective effects of estrogen and body fat distribution. It has been also described that males and females present differential pathogenic features in terms of biochemical profiles and histological characteristics. However, the exact molecular mechanisms for the gender differences that exist in the pathogenesis of NAFLD are still elusive. Lipogenesis, oxidative stress, and inflammation play a key role in the progression of NAFLD. For NAFLD, only a few studies characterized these mechanisms at the molecular level. Therefore, we aim to review the reported differential molecular mechanisms that trigger such different pathogenesis in both sexes. Differences in lipid metabolism, glucose homeostasis, oxidative stress, inflammation, and fibrosis were discussed based on the evidence reported in recent publications. In conclusion, with this review, we hope to provide a new perspective for the development of future practice guidelines as well as a new avenue for the management of the disease.

Published
2020
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144. Can a Single Measurement of Apixaban Levels Identify Patients at Risk of Overexposure? A Prospective Cohort Study

Author

Tim A.C. de Vries, Jack Hirsh, Vinai C. Bhagirath, Jeffrey S. Ginsberg, Ron Pisters, Martin E.W. Hemels, Joris R. de Groot, John W. Eikelboom, and Noel C. Chan

Subjects
biological variation, individual, biological variation, population, blood coagulation tests, drug monitoring, factor xa inhibitors, off-label use, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

Background Patients with atrial fibrillation (AF) are frequently treated with apixaban 2.5-mg twice daily (BID) off-label, presumably to reduce the bleeding risk. However, this approach has the potential to increase the risk of ischemic stroke. If a single measurement could reliably identify patients with high drug levels, the increased stroke risk may be mitigated by confining off-label dose reduction to such patients. Objectives This study aimed to determine whether a single high apixaban level is predictive of a similarly high level when the test is repeated in 2 months. Methods In this prospective cohort study of clinic patients receiving apixaban 5-mg BID for AF or venous thromboembolism, peak and trough apixaban levels were measured using the STA-Liquid anti-Xa assay at baseline and 2 months. We calculated the proportions of patients with levels that remained in the upper quintile. Results Of 100 enrolled patients, 82 came for a second visit, 55 of whom were treated with apixaban 5-mg BID. Seven (63.6%, 95% confidence interval [CI]: 35.4–84.8%) and nine (81.8%, 95% CI: 52.3–94.9%) of 11 patients with a baseline trough and peak level in the upper quintile, respectively, had a subsequent level that remained within this range. Only one (9.1%, 95% CI: 1.6–37.7%) patient had a subsequent level that fell just lower than the median. Conclusion The trough and peak levels of apixaban in patients who have a high level on a single occasion, usually remain high when the assay is repeated in 2 months. Accordingly, the finding of a high apixaban level in patients deemed to be at high risk of bleeding, allows physicians contemplating off-label use of the 2.5-mg BID dose to limit its use to selected patients who are less likely to be exposed to an increased risk of thrombosis.

Published
2022
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148. Infected pancreatic necrosis: outcomes and clinical predictors of mortality. A post hoc analysis of the MANCTRA-1 international study

Author

Podda, M, Pellino, G, Di Saverio, S, Coccolini, F, Pacella, D, Cioffi, S, Virdis, F, Balla, A, Ielpo, B, Pata, F, Poillucci, G, Ortenzi, M, Damaskos, D, De Simone, B, Sartelli, M, Leppaniemi, A, Jayant, K, Catena, F, Giuliani, A, Di Martino, M, Pisanu, A, Gerardi, C, Gourgiotis, S, Riboni, C, Giordano, A, Ferrario, L, Agnoletti, V, Kruger, Y, Mole, D, Agresta, F, Prieto Calvo, M, Wilson, M, Soggiu, F, Hamdan, A, Gomes, C, Fraga, G, Ioannidis, A, Demetrashvili, Z, Sahani, S, Bains, L, Khamees, A, Ababneh, H, Aljaiuossi, O, Pimentel, S, Mohamad, I, Yusoff, A, Zarnescu, N, Calu, V, Litvin, A, Lesko, D, Elmehrath, A, Elshami, M, de Santibanes, M, Gundara, J, Alawadhi, K, Lui, R, Julianov, A, Ralon, S, Garzali, I, Machain, G, Villalabeitia, I, Quispe-Cruz, D, Orantia, A, Waledziak, M, de Sa, T, Ali, S, Kovacevic, B, Noel, C, Abdalah, H, Kchaou, A, Isik, A, Ansaloni, L, Biffl, W, Guerrieri, M, Sartori, A, Abradelo, M, Nigri, G, Di Lorenzo, N, Mingoli, A, Chiarugi, M, Di Menno Stavron, J, Mazza, O, Valenzuela, J, Pachajoa, D, Alvarez, F, Liano, J, Tefay, J, Alshaikh, A, Hasan, L, Couto Gomes, F, Calderan, T, Hirano, E, Dardanov, D, Saroglu, A, Atanasov, B, Belev, N, Kovachev, N, Chan, S, Lok, H, Salcedo, D, Robayo, D, Trivino, M, Manak, J, de Araujo, J, Sethi, A, Awad, A, Elbadawy, M, Farid, A, Hanafy, A, Nafea, A, Sherief, G, Salah Alzhraa, A, Abdelsalam, W, Emile, S, Elfallal, A, Elfeki, H, Elghadban, H, Shoma, A, Shetiwy, M, Elbahnasawy, M, Mohamed, S, Hamed, E, Khalil, U, Chouillard, E, Gumbs, A, Police, A, Mabilia, A, Khutsishvili, K, Tvaladze, A, Ioannidis, O, Anestiadou, E, Loutzidou, L, Konstantinidis, K, Konstantinidou, S, Manatakis, D, Acheimastos, V, Tasis, N, Michalopoulos, N, Kokoropoulos, P, Papadoliopoulou, M, Sotiropoulou, M, Kapiris, S, Metaxas, P, Tsouknidas, I, Kefili, D, Petrakis, G, Synekidou, E, Dakis, K, Alexandridou, E, Papadopoulos, A, Chouliaras, C, Mouzakis, O, Mulita, F, Maroulis, I, Vailas, M, Triantafyllou, T, Theodorou, D, Lostoridis, E, Nagorni, E, Tourountzi, P, Baili, E, Charalabopoulos, A, Liakakos, T, Schizas, D, Kozadinos, A, Syllaios, A, Machairas, N, Kykalos, S, Stamopoulos, P, Delis, S, Farazi-Chongouki, C, Kalaitzakis, E, Giannarakis, M, Lasithiotakis, K, Petra, G, Gupta, A, Medappil, N, Muthukrishnan, V, Kamar, J, Lal, P, Agarwal, R, Magnoli, M, Aonzo, P, Serventi, A, Di Lascio, P, Pinto, M, Bergamini, C, Bottari, A, Fortuna, L, Martellucci, J, Cicako, A, Miglietta, C, Morino, M, Delogu, D, Picchetto, A, Assenza, M, D'Ambrosio, G, Argenio, G, Armellino, M, Ioia, G, Occhionorelli, S, Andreotti, D, Domenico, L, Luppi, D, Casadei, M, Di Donato, L, Manoochehri, F, Marchese, T, Sergi, W, Manca, R, Murgia, R, Piras, E, Conti, L, Gianazza, S, Rizzi, A, Segalini, E, Monti, M, Iiritano, E, Mariani, N, De Nicola, E, Scifo, G, Pignata, G, Andreuccetti, J, Fleres, F, Clarizia, G, Spolini, A, Biloslavo, A, Germani, P, Mastronardi, M, Bogoni, S, Palmisano, S, De Manzini, N, Marino, M, Martines, G, Trigiante, G, Lagouvardou, E, Anania, G, Bombardini, C, Oppici, D, Pilia, T, Murzi, V, Gessa, E, Bracale, U, Di Nuzzo, M, Peltrini, R, Salvetti, F, Vigano, J, Sganga, G, Bianchi, V, Fransvea, P, Fontana, T, Sarro, G, Dinuzzi, V, Scaravilli, L, Papa, M, Jovine, E, Ciabatti, G, Mastrangelo, L, Rottoli, M, Ricci, C, Russo, I, Aiolfi, A, Bona, D, Lombardo, F, Cianci, P, Sederino, M, Bini, R, Chiara, O, Cantafio, S, Coretti, G, Licitra, E, Savino, G, Grimaldi, S, Porfidia, R, Moggia, E, Garino, M, Marafante, C, Pesce, A, Fabbri, N, Feo, C, Marra, E, Troian, M, Drigo, D, Nagliati, C, Muratore, A, Danna, R, Murgese, A, Crespi, M, Guerci, C, Frontali, A, Ferrari, L, Favi, F, Picariello, E, Rampini, A, D'Acapito, F, Ercolani, G, Solaini, L, Palmieri, F, Cali, M, Ferrara, F, Muttillo, I, Muttillo, E, Picardi, B, Galleano, R, Badran, A, Ghazouani, O, Cervellera, M, Campanella, G, Papa, G, Di Bella, A, Perrone, G, Petracca, G, Prioriello, C, Giuffrida, M, Cozzani, F, Rossini, M, Inama, M, Butturini, G, Moretto, G, Morelli, L, Candio, G, Guadagni, S, Cicuttin, E, Cremonini, C, Tartaglia, D, Genovese, V, Cillara, N, Cannavera, A, Deserra, A, Picciariello, A, Papagni, V, Vincenti, L, Bagaglini, G, Sica, G, Lapolla, P, Brachini, G, Bono, D, Nicotera, A, Zago, M, Sammartano, F, Benuzzi, L, Stella, M, Rossi, S, Cerioli, A, Puccioni, C, Olmi, S, Rubicondo, C, Uccelli, M, Guida, A, Lepiane, P, Sasia, D, Giraudo, G, Salomone, S, Belloni, E, Cossa, A, Lancellotti, F, Caronna, R, Chirletti, P, Saullo, P, Troiano, R, Mucilli, F, Barone, M, Ippoliti, M, Grande, M, Sensi, B, Siragusa, L, Santini, A, Di Carlo, I, Veroux, M, Gioco, R, Veroux, G, Curro, G, Ammendola, M, Komaei, I, Navarra, G, Tonini, V, Sartarelli, L, Ceresoli, M, Perrone, S, Roccamatisi, L, Millo, P, Brachet Contul, R, Ponte, E, Zuin, M, Portale, G, Tonello, A, Fratini, G, Bianchini, M, Perotti, B, Doria, E, Lunghi, E, Visconti, D, Al-Shami, K, Awadi, S, Buwaitel, M, Naffa', M, Samhouri, A, Sawalha, H, Ani, M, Fathil, I, Huei, J, Beristain-Hernandez, J, Garcia-Meza, A, Sepulveda-Rdriguez, R, Hernandez, E, Pinzon, C, Condoy, J, Garcia, F, Sadik, M, Kadir, B, Devi, J, Seerani, N, Zainab, Sohail-Asghar, M, Afzal, A, Akbar, A, Lohse, H, Cabrera, Z, Seto, G, Chiuyari, J, Ordemar, J, Rodriguez, M, Orantia-Carlos, A, Quitoy, M, Kwiatkowski, A, Mawlichanow, M, Rocha, M, Soares, C, Stoian, A, Draghici, A, Grigorean, V, Radulescu, R, Costea, R, Zarnescu, E, Kurtenkov, M, Gendrikson, G, Alla-Angelina, V, Arina, T, Kaldarov, A, Gachabayov, M, Abdullaev, A, Milentijevic, M, Karamarkovic, M, Panyko, A, Radonak, J, Soltes, M, Moran, L, Garcia, H, Vega, P, Estevez, S, Ausania, F, Farguell, J, Gonzalez-Abos, C, Sanchez-Cabus, S, Martin, B, Molina, V, Oms, L, Ilzarbe, L, Feijoo, E, Perra, E, Rojas-Bonet, N, Penalba-Palmi, R, Perez-Bru, S, Tur-Martinez, J, Alvarez-Torrado, A, Domingo-Gonzalez, M, Tejedor-Tejada, J, del Alamo, Y, Mendoza-Moreno, F, Garcia-Moreno-Nisa, F, Matias-Garcia, B, Duran, M, Calleja-Lozano, R, de Villar, J, Sanchez-Guillen, L, Caravaca, I, Triguero-Canovas, D, Aparicio, A, Melendez, B, Palacios, A, Landaluce-Olavarria, A, De Francisco, M, Estraviz-Mateos, B, Alconchel, F, Nicolas-Lopez, T, Ramirez, P, Munoz-Cruzado, V, Ciuro, F, del Pozo, E, Pizarro, S, Cabrera, V, Bayo, J, Hamid, H, Roesel, R, Cristaudi, A, Abbas, K, Ali, I, Tlili, A, Bayhan, H, Turkoglu, M, Uzunoglu, M, Azamat, I, Omarov, N, Uymaz, D, Altintoprak, F, Akin, E, First, N, Das, K, Ozer, N, Seker, A, Kara, Y, Bozkurt, M, Kocatas, A, Atici, S, Akalin, M, Calik, B, Colak, E, Altinel, Y, Meric, S, Aktimur, Y, Hudson, V, Duval, J, Khan, M, Saad, A, Kaur, M, Bradley, A, Fox, K, Tomasi, I, Beasley, D, Prasanti, A, Kotecha, P, Ebied, H, Paul, M, Sheth, H, Gerogiannis, I, Gaber, M, Sheikh, Z, Seth, S, Kunitsyna, M, Leo, C, Bellato, V, Zafar, N, Elserafy, A, Bond-smith, G, Tebala, G, Mathur, P, Abid, I, Chidumije, N, Sandhar, P, Ullah, S, Lezama, T, Anwaar, M, Magee, C, Ahmed, S, Davies, B, Apollos, J, Mccormack, K, Choudhary, H, Doulias, T, Morrison, T, Palepa, A, Cal, F, Sanchez, L, Dominguez, F, Al-Raimi, I, Alshargabi, H, Meead, A, Chooklin, S, Chuklin, S, Bilyak, A, Podda M., Pellino G., Di Saverio S., Coccolini F., Pacella D., Cioffi S. P. B., Virdis F., Balla A., Ielpo B., Pata F., Poillucci G., Ortenzi M., Damaskos D., De Simone B., Sartelli M., Leppaniemi A., Jayant K., Catena F., Giuliani A., Di Martino M., Pisanu A., Gerardi C., Gourgiotis S., Riboni C., Giordano A., Ferrario L., Agnoletti V., Kruger Y., Mole D., Agresta F., Prieto Calvo M., Wilson M., Soggiu F., Hamdan A., Gomes C. A., Fraga G., Ioannidis A., Demetrashvili Z., Sahani S., Bains L., Khamees A., Ababneh H., Aljaiuossi O., Pimentel S., Mohamad I. S., Yusoff A. R., Zarnescu N. O., Calu V., Litvin A., Lesko D., Elmehrath A., Elshami M., de Santibanes M., Gundara J., Alawadhi K., Lui R., Julianov A., Ralon S., Garzali I. -U., Machain G. M., Villalabeitia I., Quispe-Cruz D. A., Orantia A. C. C., Waledziak M., de Sa T. C., Ali S. M., Kovacevic B., Noel C., Abdalah H. M., Kchaou A., Isik A., Ansaloni L., Biffl W., Guerrieri M., Sartori A., Abradelo M., Nigri G., Di Lorenzo N., Mingoli A., Chiarugi M., Di Menno Stavron J., Mazza O., Valenzuela J. I., Pachajoa D. A. P., Alvarez F. A., Liano J. E., Tefay J., Alshaikh A., Hasan L., Couto Gomes F., Calderan T. R. A., Hirano E. S., Dardanov D., Saroglu A., Atanasov B., Belev N., Kovachev N., Chan S. M., Lok H. -T., Salcedo D., Robayo D., Trivino M. A., Manak J., de Araujo J., Sethi A., Awad A., Elbadawy M., Farid A., Hanafy A., Nafea A., Sherief G., Salah Alzhraa A., Abdelsalam W., Emile S., Elfallal A., Elfeki H., Elghadban H., Shoma A., Shetiwy M., Elbahnasawy M., Mohamed S., Hamed E. F., Khalil U. A., Chouillard E., Gumbs A., Police A., Mabilia A., Khutsishvili K., Tvaladze A., Ioannidis O., Anestiadou E., Loutzidou L., Konstantinidis K., Konstantinidou S., Manatakis D., Acheimastos V., Tasis N., Michalopoulos N., Kokoropoulos P., Papadoliopoulou M., Sotiropoulou M., Kapiris S., Metaxas P., Tsouknidas I., Kefili D., Petrakis G., Synekidou E., Dakis K., Alexandridou E., Papadopoulos A., Chouliaras C., Mouzakis O., Mulita F., Maroulis I., Vailas M., Triantafyllou T., Theodorou D., Lostoridis E., Nagorni E. -A., Tourountzi P., Baili E., Charalabopoulos A., Liakakos T., Schizas D., Kozadinos A., Syllaios A., Machairas N., Kykalos S., Stamopoulos P., Delis S., Farazi-Chongouki C., Kalaitzakis E., Giannarakis M., Lasithiotakis K., Petra G., Gupta A., Medappil N., Muthukrishnan V., Kamar J., Lal P., Agarwal R., Magnoli M., Aonzo P., Serventi A., Di Lascio P., Pinto M., Bergamini C., Bottari A., Fortuna L., Martellucci J., Cicako A., Miglietta C., Morino M., Delogu D., Picchetto A., Assenza M., D'Ambrosio G., Argenio G., Armellino M. F., Ioia G., Occhionorelli S., Andreotti D., Domenico L., Luppi D., Casadei M., Di Donato L., Manoochehri F., Marchese T. R. L., Sergi W., Manca R., Murgia R., Piras E., Conti L., Gianazza S., Rizzi A., Segalini E., Monti M., Iiritano E., Mariani N. M., De Nicola E., Scifo G., Pignata G., Andreuccetti J., Fleres F., Clarizia G., Spolini A., Biloslavo A., Germani P., Mastronardi M., Bogoni S., Palmisano S., De Manzini N., Marino M. V., Martines G., Trigiante G., Lagouvardou E., Anania G., Bombardini C., Oppici D., Pilia T., Murzi V., Gessa E., Bracale U., Di Nuzzo M. M., Peltrini R., Salvetti F., Vigano J., Sganga G., Bianchi V., Fransvea P., Fontana T., Sarro G., Dinuzzi V. P., Scaravilli L., Papa M. V., Jovine E., Ciabatti G., Mastrangelo L., Rottoli M., Ricci C., Russo I. S., Aiolfi A., Bona D., Lombardo F., Cianci P., Sederino M., Bini R., Chiara O., Cioffi S., Cantafio S., Coretti G., Licitra E., Savino G., Grimaldi S., Porfidia R., Moggia E., Garino M., Marafante C., Pesce A., Fabbri N., Feo C. V., Marra E., Troian M., Drigo D., Nagliati C., Muratore A., Danna R., Murgese A., Crespi M., Guerci C., Frontali A., Ferrari L., Favi F., Picariello E., Rampini A., D'Acapito F., Ercolani G., Solaini L., Palmieri F., Cali M., Ferrara F., Muttillo I. A., Muttillo E. M., Picardi B., Galleano R., Badran A., Ghazouani O., Cervellera M., Campanella G., Papa G., Di Bella A., Perrone G., Petracca G. L., Prioriello C., Giuffrida M., Cozzani F., Rossini M., Inama M., Butturini G., Moretto G., Morelli L., Candio G., Guadagni S., Cicuttin E., Cremonini C., Tartaglia D., Genovese V., Cillara N., Cannavera A., Deserra A., Picciariello A., Papagni V., Vincenti L., Bagaglini G., Sica G., Lapolla P., Brachini G., Bono D., Nicotera A., Zago M., Sammartano F., Benuzzi L., Stella M., Rossi S., Cerioli A., Puccioni C., Olmi S., Rubicondo C., Uccelli M., Guida A., Lepiane P., Sasia D., Giraudo G., Salomone S., Belloni E., Cossa A., Lancellotti F., Caronna R., Chirletti P., Saullo P., Troiano R., Mucilli F., Barone M., Ippoliti M., Grande M., Sensi B., Siragusa L., Santini A., Di Carlo I., Veroux M., Gioco R., Veroux G., Curro G., Ammendola M., Komaei I., Navarra G., Tonini V., Sartarelli L., Ceresoli M., Perrone S., Roccamatisi L., Millo P., Brachet Contul R., Ponte E., Zuin M., Portale G., Tonello A. S., Fratini G., Bianchini M., Perotti B., Doria E., Lunghi E. G., Visconti D., Al-Shami K., Awadi S., Buwaitel M. M. K., Naffa' M. F. N., Samhouri A., Sawalha H., Ani M. F. C., Fathil I. N. A., Huei J., Beristain-Hernandez J. -L., Garcia-Meza A., Sepulveda-Rdriguez R., Hernandez E. E. L., Pinzon C. L. A., Condoy J. N., Garcia F. C. B., Sadik M., Kadir B., Devi J., Seerani N., Sohail-Asghar M., Afzal A., Akbar A., Lohse H. S., Cabrera Z. S. L., Seto G. S. Y., Chiuyari J. R., Ordemar J., Rodriguez M., Orantia-Carlos A. C. C., Quitoy M. A., Kwiatkowski A., Mawlichanow M., Rocha M., Soares C., Stoian A. R., Draghici A. D., Grigorean V. T., Radulescu R. B., Costea R. V., Zarnescu E. C., Kurtenkov M., Gendrikson G., Alla-Angelina V., Arina T., Kaldarov A., Gachabayov M., Abdullaev A., Milentijevic M., Karamarkovic M., Panyko A., Radonak J., Soltes M., Moran L. A., Garcia H. C., Vega P. S., Estevez S., Ausania F., Farguell J., Gonzalez-Abos C., Sanchez-Cabus S., Martin B., Molina V., Oms L., Ilzarbe L., Feijoo E. P., Perra E. S., Rojas-Bonet N., Penalba-Palmi R., Perez-Bru S., Tur-Martinez J., Alvarez-Torrado A., Domingo-Gonzalez M., Tejedor-Tejada J., del Alamo Y. G., Mendoza-Moreno F., Garcia-Moreno-Nisa F., Matias-Garcia B., Duran M., Calleja-Lozano R., de Villar J. M. P., Sanchez-Guillen L., Caravaca I., Triguero-Canovas D., Aparicio A. C. M., Melendez B. D., Palacios A. M., Landaluce-Olavarria A., De Francisco M., Estraviz-Mateos B., Alconchel F., Nicolas-Lopez T., Ramirez P., Munoz-Cruzado V. D., Ciuro F. P., del Pozo E. P., Pizarro S. O., Cabrera V. H., Bayo J. M., Hamid H. K. S., Roesel R., Cristaudi A., Abbas K., Ali I., Tlili A., Bayhan H., Turkoglu M. A., Uzunoglu M. Y., Azamat I. F., Omarov N., Uymaz D. S., Altintoprak F., Akin E., First N., Das K., Ozer N., Seker A., Kara Y., Bozkurt M. A., Kocatas A., Atici S. D., Akalin M., Calik B., Colak E., Altinel Y., Meric S., Aktimur Y. E., Hudson V., Duval J. -L., Khan M., Saad A., Kaur M., Bradley A., Fox K., Tomasi I., Beasley D., Prasanti A. K., Kotecha P., Ebied H., Paul M., Sheth H., Gerogiannis I., Gaber M., Sheikh Z., Seth S., Kunitsyna M., Leo C. A., Bellato V., Zafar N., Elserafy A., Bond-smith G., Tebala G., Mathur P., Abid I., Chidumije N., Sandhar P., Ullah S. O. Z., Lezama T., Anwaar M. H., Magee C., Ahmed S., Davies B., Apollos J., McCormack K., Choudhary H., Doulias T., Morrison T., Palepa A., Cal F. B., Sanchez L., Dominguez F., Al-Raimi I., Alshargabi H., Meead A., Chooklin S., Chuklin S., Bilyak A., Podda, M, Pellino, G, Di Saverio, S, Coccolini, F, Pacella, D, Cioffi, S, Virdis, F, Balla, A, Ielpo, B, Pata, F, Poillucci, G, Ortenzi, M, Damaskos, D, De Simone, B, Sartelli, M, Leppaniemi, A, Jayant, K, Catena, F, Giuliani, A, Di Martino, M, Pisanu, A, Gerardi, C, Gourgiotis, S, Riboni, C, Giordano, A, Ferrario, L, Agnoletti, V, Kruger, Y, Mole, D, Agresta, F, Prieto Calvo, M, Wilson, M, Soggiu, F, Hamdan, A, Gomes, C, Fraga, G, Ioannidis, A, Demetrashvili, Z, Sahani, S, Bains, L, Khamees, A, Ababneh, H, Aljaiuossi, O, Pimentel, S, Mohamad, I, Yusoff, A, Zarnescu, N, Calu, V, Litvin, A, Lesko, D, Elmehrath, A, Elshami, M, de Santibanes, M, Gundara, J, Alawadhi, K, Lui, R, Julianov, A, Ralon, S, Garzali, I, Machain, G, Villalabeitia, I, Quispe-Cruz, D, Orantia, A, Waledziak, M, de Sa, T, Ali, S, Kovacevic, B, Noel, C, Abdalah, H, Kchaou, A, Isik, A, Ansaloni, L, Biffl, W, Guerrieri, M, Sartori, A, Abradelo, M, Nigri, G, Di Lorenzo, N, Mingoli, A, Chiarugi, M, Di Menno Stavron, J, Mazza, O, Valenzuela, J, Pachajoa, D, Alvarez, F, Liano, J, Tefay, J, Alshaikh, A, Hasan, L, Couto Gomes, F, Calderan, T, Hirano, E, Dardanov, D, Saroglu, A, Atanasov, B, Belev, N, Kovachev, N, Chan, S, Lok, H, Salcedo, D, Robayo, D, Trivino, M, Manak, J, de Araujo, J, Sethi, A, Awad, A, Elbadawy, M, Farid, A, Hanafy, A, Nafea, A, Sherief, G, Salah Alzhraa, A, Abdelsalam, W, Emile, S, Elfallal, A, Elfeki, H, Elghadban, H, Shoma, A, Shetiwy, M, Elbahnasawy, M, Mohamed, S, Hamed, E, Khalil, U, Chouillard, E, Gumbs, A, Police, A, Mabilia, A, Khutsishvili, K, Tvaladze, A, Ioannidis, O, Anestiadou, E, Loutzidou, L, Konstantinidis, K, Konstantinidou, S, Manatakis, D, Acheimastos, V, Tasis, N, Michalopoulos, N, Kokoropoulos, P, Papadoliopoulou, M, Sotiropoulou, M, Kapiris, S, Metaxas, P, Tsouknidas, I, Kefili, D, Petrakis, G, Synekidou, E, Dakis, K, Alexandridou, E, Papadopoulos, A, Chouliaras, C, Mouzakis, O, Mulita, F, Maroulis, I, Vailas, M, Triantafyllou, T, Theodorou, D, Lostoridis, E, Nagorni, E, Tourountzi, P, Baili, E, Charalabopoulos, A, Liakakos, T, Schizas, D, Kozadinos, A, Syllaios, A, Machairas, N, Kykalos, S, Stamopoulos, P, Delis, S, Farazi-Chongouki, C, Kalaitzakis, E, Giannarakis, M, Lasithiotakis, K, Petra, G, Gupta, A, Medappil, N, Muthukrishnan, V, Kamar, J, Lal, P, Agarwal, R, Magnoli, M, Aonzo, P, Serventi, A, Di Lascio, P, Pinto, M, Bergamini, C, Bottari, A, Fortuna, L, Martellucci, J, Cicako, A, Miglietta, C, Morino, M, Delogu, D, Picchetto, A, Assenza, M, D'Ambrosio, G, Argenio, G, Armellino, M, Ioia, G, Occhionorelli, S, Andreotti, D, Domenico, L, Luppi, D, Casadei, M, Di Donato, L, Manoochehri, F, Marchese, T, Sergi, W, Manca, R, Murgia, R, Piras, E, Conti, L, Gianazza, S, Rizzi, A, Segalini, E, Monti, M, Iiritano, E, Mariani, N, De Nicola, E, Scifo, G, Pignata, G, Andreuccetti, J, Fleres, F, Clarizia, G, Spolini, A, Biloslavo, A, 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Ullah, S, Lezama, T, Anwaar, M, Magee, C, Ahmed, S, Davies, B, Apollos, J, Mccormack, K, Choudhary, H, Doulias, T, Morrison, T, Palepa, A, Cal, F, Sanchez, L, Dominguez, F, Al-Raimi, I, Alshargabi, H, Meead, A, Chooklin, S, Chuklin, S, Bilyak, A, Podda M., Pellino G., Di Saverio S., Coccolini F., Pacella D., Cioffi S. P. B., Virdis F., Balla A., Ielpo B., Pata F., Poillucci G., Ortenzi M., Damaskos D., De Simone B., Sartelli M., Leppaniemi A., Jayant K., Catena F., Giuliani A., Di Martino M., Pisanu A., Gerardi C., Gourgiotis S., Riboni C., Giordano A., Ferrario L., Agnoletti V., Kruger Y., Mole D., Agresta F., Prieto Calvo M., Wilson M., Soggiu F., Hamdan A., Gomes C. A., Fraga G., Ioannidis A., Demetrashvili Z., Sahani S., Bains L., Khamees A., Ababneh H., Aljaiuossi O., Pimentel S., Mohamad I. S., Yusoff A. R., Zarnescu N. O., Calu V., Litvin A., Lesko D., Elmehrath A., Elshami M., de Santibanes M., Gundara J., Alawadhi K., Lui R., Julianov A., Ralon S., Garzali I. -U., Machain G. M., Villalabeitia I., Quispe-Cruz D. A., Orantia A. C. C., Waledziak M., de Sa T. C., Ali S. M., Kovacevic B., Noel C., Abdalah H. M., Kchaou A., Isik A., Ansaloni L., Biffl W., Guerrieri M., Sartori A., Abradelo M., Nigri G., Di Lorenzo N., Mingoli A., Chiarugi M., Di Menno Stavron J., Mazza O., Valenzuela J. I., Pachajoa D. A. P., Alvarez F. A., Liano J. E., Tefay J., Alshaikh A., Hasan L., Couto Gomes F., Calderan T. R. A., Hirano E. S., Dardanov D., Saroglu A., Atanasov B., Belev N., Kovachev N., Chan S. M., Lok H. -T., Salcedo D., Robayo D., Trivino M. A., Manak J., de Araujo J., Sethi A., Awad A., Elbadawy M., Farid A., Hanafy A., Nafea A., Sherief G., Salah Alzhraa A., Abdelsalam W., Emile S., Elfallal A., Elfeki H., Elghadban H., Shoma A., Shetiwy M., Elbahnasawy M., Mohamed S., Hamed E. F., Khalil U. A., Chouillard E., Gumbs A., Police A., Mabilia A., Khutsishvili K., Tvaladze A., Ioannidis O., Anestiadou E., Loutzidou L., Konstantinidis K., Konstantinidou S., Manatakis D., Acheimastos V., Tasis N., Michalopoulos N., Kokoropoulos P., Papadoliopoulou M., Sotiropoulou M., Kapiris S., Metaxas P., Tsouknidas I., Kefili D., Petrakis G., Synekidou E., Dakis K., Alexandridou E., Papadopoulos A., Chouliaras C., Mouzakis O., Mulita F., Maroulis I., Vailas M., Triantafyllou T., Theodorou D., Lostoridis E., Nagorni E. -A., Tourountzi P., Baili E., Charalabopoulos A., Liakakos T., Schizas D., Kozadinos A., Syllaios A., Machairas N., Kykalos S., Stamopoulos P., Delis S., Farazi-Chongouki C., Kalaitzakis E., Giannarakis M., Lasithiotakis K., Petra G., Gupta A., Medappil N., Muthukrishnan V., Kamar J., Lal P., Agarwal R., Magnoli M., Aonzo P., Serventi A., Di Lascio P., Pinto M., Bergamini C., Bottari A., Fortuna L., Martellucci J., Cicako A., Miglietta C., Morino M., Delogu D., Picchetto A., Assenza M., D'Ambrosio G., Argenio G., Armellino M. 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K., Kotecha P., Ebied H., Paul M., Sheth H., Gerogiannis I., Gaber M., Sheikh Z., Seth S., Kunitsyna M., Leo C. A., Bellato V., Zafar N., Elserafy A., Bond-smith G., Tebala G., Mathur P., Abid I., Chidumije N., Sandhar P., Ullah S. O. Z., Lezama T., Anwaar M. H., Magee C., Ahmed S., Davies B., Apollos J., McCormack K., Choudhary H., Doulias T., Morrison T., Palepa A., Cal F. B., Sanchez L., Dominguez F., Al-Raimi I., Alshargabi H., Meead A., Chooklin S., Chuklin S., and Bilyak A.

Abstract

The identification of high-risk patients in the early stages of infected pancreatic necrosis (IPN) is critical, because it could help the clinicians to adopt more effective management strategies. We conducted a post hoc analysis of the MANCTRA-1 international study to assess the association between clinical risk factors and mortality among adult patients with IPN. Univariable and multivariable logistic regression models were used to identify prognostic factors of mortality. We identified 247 consecutive patients with IPN hospitalised between January 2019 and December 2020. History of uncontrolled arterial hypertension (p = 0.032; 95% CI 1.135–15.882; aOR 4.245), qSOFA (p = 0.005; 95% CI 1.359–5.879; aOR 2.828), renal failure (p = 0.022; 95% CI 1.138–5.442; aOR 2.489), and haemodynamic failure (p = 0.018; 95% CI 1.184–5.978; aOR 2.661), were identified as independent predictors of mortality in IPN patients. Cholangitis (p = 0.003; 95% CI 1.598–9.930; aOR 3.983), abdominal compartment syndrome (p = 0.032; 95% CI 1.090–6.967; aOR 2.735), and gastrointestinal/intra-abdominal bleeding (p = 0.009; 95% CI 1.286–5.712; aOR 2.710) were independently associated with the risk of mortality. Upfront open surgical necrosectomy was strongly associated with the risk of mortality (p < 0.001; 95% CI 1.912–7.442; aOR 3.772), whereas endoscopic drainage of pancreatic necrosis (p = 0.018; 95% CI 0.138–0.834; aOR 0.339) and enteral nutrition (p = 0.003; 95% CI 0.143–0.716; aOR 0.320) were found as protective factors. Organ failure, acute cholangitis, and upfront open surgical necrosectomy were the most significant predictors of mortality. Our study confirmed that, even in a subgroup of particularly ill patients such as those with IPN, upfront open surgery should be avoided as much as possible.

Published
2023

149. Surface traps for freely rotating ion ring crystals

Author

Wang, Po-Jen, Li, Tongcang, Noel, C, Chuang, A, Zhang, Xiang, and Häffner, H

Subjects
ion trap, ring traps, quantum simulations, physics.atom-ph, Optics
Abstract

Rings of trapped ions are an attractive system to study quantum-many body dynamics with closed boundary conditions as well as symmetry breaking. One of the biggest challenges towards such experiments is to sufficiently suppress rotational imperfections of the trapping potential and to allow for instance freely rotating ring structures. We show how to overcome this challenge with a surface trap design and perform numerical calculations to analyze the consequences of various imperfections in detail. We conclude that trap electrode imperfections, external stray electric fields, and local charging of the trap electrodes can be controlled sufficiently well to allow ion rings to rotate freely even near their rotational ground state.

Published
2015

150. The relationship between amount of soda consumed and intention to reduce soda consumption among adults exposed to the Choose Health LA 'Sugar Pack' health marketing campaign.

Author

Robles, Brenda, Blitstein, Jonathan L, Lieberman, Alicea J, Barragan, Noel C, Gase, Lauren N, and Kuo, Tony

Subjects
Humans, Obesity, Dietary Sucrose, Logistic Models, Cross-Sectional Studies, Health Knowledge, Attitudes, Practice, Feeding Behavior, Health Behavior, Energy Intake, Social Marketing, Carbonated Beverages, Adolescent, Adult, Aged, Middle Aged, Los Angeles, Female, Male, Young Adult, Self Report, Health disparities, Health marketing intervention, Programme evaluation, Soda consumption, Prevention of disease and conditions, and promotion of well-being, 3.1 Primary prevention interventions to modify behaviours or promote wellbeing, Quality Education, Medical and Health Sciences, Nutrition & Dietetics
Abstract

ObjectiveTo examine behavioural intention to reduce soda consumption after exposure to the Choose Health LA 'Sugar Pack' campaign in Los Angeles County, California, USA.DesignA cross-sectional street-intercept survey was conducted to assess knowledge, attitudes, health behaviours and behavioural intentions after exposure to the 'Sugar Pack' campaign. A multivariable regression analysis was performed to examine the relationships between the amount of soda consumed and self-reported intention to reduce consumption of non-diet soda among adults who saw the campaign.SettingThree pre-selected Los Angeles County Metro bus shelters and/or rail stops with the highest number of 'Sugar Pack' campaign advertisement placements.SubjectsRiders of the region's Metro buses and railways who were the intended audience of the campaign advertisements.ResultsThe overall survey response rate was 56 % (resulting n 1041). Almost 60 % of respondents were exposed to the advertisements (619/1041). The multivariable logistic regression analysis suggested that the odds of reporting intention to reduce soda consumption among moderate consumers (1-6 sodas/week) were 1·95 times greater than among heavy consumers (≥1 soda/d), after controlling for clustering and covariates. Respondents with less than a high-school education and who perceived sugary beverage consumption as harmful also had higher odds; in contrast, respondents aged ≥65 years had lower odds.ConclusionsResults suggest that future campaigns should be tailored differently for moderate v. heavy consumers of soda. Similar tailoring strategies are likely needed for younger groups, for those with less educational attainment and for those who do not perceive consumption of soda as harmful.

Published
2015

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