The American journal of medicine
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Machine learning algorithms are essential for predicting severe outcomes during public health crises like COVID-19. However, the dynamic nature of diseases requires continual evaluation and updating of these algorithms. This study aims to compare three update strategies for predicting severe COVID-19 outcomes postdiagnosis: "naive" (a single initial model), "frequent" (periodic retraining), and "context-driven" (retraining informed by clinical insights). The goal is to determine the most effective timing and approach for adapting algorithms to evolving disease dynamics and emerging data. ⋯ A context-driven approach, guided by clinical insights, can enhance predictive performance and offer cost-effective solutions for dynamic public health challenges. These findings have significant implications for efficiently managing healthcare resources during evolving disease outbreaks.
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National heart failure guidelines recommend quadruple therapy with renin-angiotensin system inhibitors, beta-blockers, mineralocorticoid receptor antagonists, and sodium-glucose cotransporter 2 inhibitors for patients with heart failure with reduced ejection fraction (HFrEF), most of whom also receive loop diuretics. However, the guidelines are less clear about the safe approaches to discontinuing older drugs whose decreasing or residual benefit is less well understood. The objective of this study was to examine whether digoxin can be safely discontinued in patients with HFrEF receiving beta-blockers. ⋯ Digoxin can be discontinued without increasing the risk of adverse outcomes in patients with HFrEF receiving beta-blockers. Future studies need to examine the residual benefit of older heart failure drugs to ensure their safe discontinuation in patients with HFrEF receiving newer guideline-directed medical therapy.
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Characteristics of Vaccine Safety Observational Studies and Authors' Attitudes: A Systematic Review.
Postlicensure observational studies are the mainstay of vaccine safety evaluation. However, these studies have well-known methodological limitations, rendering them particularly vulnerable to unmeasured confounding. We sought to describe high-impact observational studies of vaccine safety, investigate the authors' attitudes toward their study's findings and limitations, and report on spin practices. ⋯ Although our findings are somewhat limited by subjectivity in study assessments, they suggest that editors and reviewers of high-impact journals should ensure that the language used in reporting observational studies accurately reflects the findings and their limitations.
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Post-acute COVID-19 syndrome (PACS) has been linked to microvascular endothelial dysfunction as a potential underlying pathomechanism and can manifest even following a mild course of the initial infection. Prevalence of microvascular endothelial dysfunction and circulating natriuretic peptides in such PACS patients remains unknown. ⋯ Peripheral microvascular endothelial dysfunction was prevalent in a symptomatic PACS population long after recovery from a mild acute infection. Increases in NT-proBNP levels were associated with microvascular endothelial dysfunction, suggesting a link between, and providing a foundation for, future studies on post viral microvascular endothelial dysfunction in PACS.