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Prevalence and factors associated with potential clinically significant drug-drug interactions in patients with cardiovascular diseases at hospital admission.
Acta Pharm
December 2024
Department of Clinical Pharmacy, University Hospital Dubrava, 10000 Zagreb Croatia.
Cardiovascular diseases (CVDs) are the leading cause of mortality and morbidity globally. It is estimated that 17.9 million people died from CVDs in 2019, which represents 32 % of all deaths worldwide.
View Article and Find Full Text PDFEnhancing stroke disease classification through machine learning models via a novel voting system by feature selection techniques.
PLoS One
January 2025
Institute for Physical Activity and Nutrition, Deakin University, Melbourne, VIC, Australia.
Heart disease remains a leading cause of mortality and morbidity worldwide, necessitating the development of accurate and reliable predictive models to facilitate early detection and intervention. While state of the art work has focused on various machine learning approaches for predicting heart disease, but they could not able to achieve remarkable accuracy. In response to this need, we applied nine machine learning algorithms XGBoost, logistic regression, decision tree, random forest, k-nearest neighbors (KNN), support vector machine (SVM), gaussian naïve bayes (NB gaussian), adaptive boosting, and linear regression to predict heart disease based on a range of physiological indicators.
View Article and Find Full Text PDFAir pollution and coronary atherosclerosis.
Future Cardiol
January 2025
Department of Cardiovascular Medicine, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
The recently introduced concept of 'exposome' emphasizes the impact of non-traditional threats onto cardiovascular health. Among these, air pollutants - particularly fine particulate matter < 2.5 μm (PM2.
View Article and Find Full Text PDFCirculating metabolomic biomarkers of 5-year body weight and composition change in a biracial cohort of community-dwelling older adults.
Geroscience
January 2025
Center for Aging and Population Health, School of Public Health, University of Pittsburgh, 310 BelPB, 130 N. Bellefield Avenue, Pittsburgh, PA, 15213, USA.
Unintentional weight loss in older populations is linked to greater mortality and morbidity risks. This study aims to understand the metabolic mechanisms of unintentional weight loss and their relationship with body composition changes in older adults. We investigated plasma metabolite associations with weight and body composition changes over 5 years in 1335 participants (mean age 73.
View Article and Find Full Text PDFHospitalized upper extremity artery disease patients: treatment and long-term outcomes.
Eur Heart J
December 2024
Institute of Biostatistics and Clinical Research, University of Muenster, Muenster, Germany.
Background And Aims: Current knowledge about upper extremity artery disease (UEAD) is scarce. This study aimed to evaluate the prevalence, treatment patterns, and short- and long-term outcomes of patients suffering from UEAD.
Methods: Retrospective health claims data of patients who were hospitalized with a primary diagnosis of UEAD between 2010 and 2017 were analysed.
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