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Predictive Value of Ocular Fundus Hemorrhage for Severe Coronary Artery Disease Assessed via SYNTAX Score.
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Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
The relationship between retinal fundus hemorrhage and the severity of coronary artery lesions remains unclear. This study aimed to explore the incidence of fundus hemorrhage in patients at high risk of coronary heart disease (CHD) and to examine its correlation with the SYNTAX score, a tool used to assess the complexity of coronary artery disease. This retrospective study consecutively enrolled patients undergoing coronary angiography (CAG) at Beijing Anzhen Hospital Hospital from June 2019 to January 2020.
View Article and Find Full Text PDFComparison of Different Thromboprophylaxis Regimens in Elderly Patients Following Hip Arthroplasty.
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Department of Osteoarthritis, Yantai City Yantai Shan Hospital, Yantai, Shandong, China.
Deep venous thrombosis (DVT) represents a significant postoperative complication after artificial femoral head replacement, with the incidence increasing proportionally with patient age. This study aimed to evaluate the effect of early postoperative use of intermittent pneumatic compression devices (IPC), followed by the combined use of low molecular weight heparin (LMWH) after 48 hours, for the prevention of postoperative lower limb DVT in elderly patients undergoing hip arthroplasty. The retrospective study included 100 elderly patients who underwent unilateral femoral head replacement.
View Article and Find Full Text PDFCaution when using network partners for target identification in drug discovery.
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Lady Davis Institute, Jewish General Hospital, McGill University, Montréal, Québec, Canada; Department of Human Genetics, McGill University, Montréal, Québec, Canada; 5 Prime Sciences Inc, Montréal, Quebec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada; Department of Medicine, McGill University, Montréal, Québec, Canada; Department of Twin Research, King's College London, London, UK. Electronic address:
Identifying novel, high-yield drug targets is challenging and often results in a high failure rate. However, recent data indicates that leveraging human genetic evidence to identify and validate these targets significantly increases the likelihood of success in drug development. Two recent papers from Open Targets claimed that around half of FDA-approved drugs had targets with direct human genetic evidence.
View Article and Find Full Text PDFLow-Level Zoonotic Transmission of Clade C MERS-CoV in Africa: Insights from Scoping Review and Cohort Studies in Hospital and Community Settings.
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Global Health Program, Washington State University Global Health-Kenya, Nairobi 00200, Kenya.
Human outbreaks of Middle East respiratory syndrome coronavirus (MERS-CoV) are more common in Middle Eastern and Asian human populations, associated with clades A and B. In Africa, where clade C is dominant in camels, human cases are minimal. We reviewed 16 studies (n = 6198) published across seven African countries between 2012 and 2024 to assess human MERS-CoV cases.
View Article and Find Full Text PDFInterpretation of COVID-19 Epidemiological Trends in Mexico Through Wastewater Surveillance Using Simple Machine Learning Algorithms for Rapid Decision-Making.
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School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico.
Detection and quantification of disease-related biomarkers in wastewater samples, denominated Wastewater-based Surveillance (WBS), has proven a valuable strategy for studying the prevalence of infectious diseases within populations in a time- and resource-efficient manner, as wastewater samples are representative of all cases within the catchment area, whether they are clinically reported or not. However, analysis and interpretation of WBS datasets for decision-making during public health emergencies, such as the COVID-19 pandemic, remains an area of opportunity. In this article, a database obtained from wastewater sampling at wastewater treatment plants (WWTPs) and university campuses in Monterrey and Mexico City between 2021 and 2022 was used to train simple clustering- and regression-based risk assessment models to allow for informed prevention and control measures in high-affluence facilities, even if working with low-dimensionality datasets and a limited number of observations.
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