Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1056/NEJM196107132650203 | DOI Listing |
PLoS One
January 2025
Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, United States of America.
Complex systems, such as in brains, markets, and societies, exhibit internal dynamics influenced by external factors. Disentangling delayed external effects from internal dynamics within these systems is often difficult. We propose using a Vector Autoregressive model with eXogenous input (VARX) to capture delayed interactions between internal and external variables.
View Article and Find Full Text PDFEur Heart J Acute Cardiovasc Care
January 2025
Department of Medical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.
Background: Acute heart failure (AHF) poses significant diagnostic challenges in the emergency room (ER) because of its varied clinical presentation and limitations of traditional diagnostic methods. This study aimed to develop and evaluate a deep-learning model using electrocardiogram (ECG) data to enhance AHF identification in the ER.
Methods: In this retrospective cohort study, we analyzed the ECG data of 19,285 patients who visited ERs of three hospitals between 2016 and 2020; 9,119 with available left ventricular ejection fraction and N-terminal prohormone of brain natriuretic peptide level data and who were diagnosed with AHF were included in the study.
QJM
January 2025
HRB Clinical Research Facility Galway, School of Medicine, University of Galway, Galway, Ireland.
Background: The optimal approach to the diagnosis of atrial fibrillation in primary care is unclear.
Aim: To determine if external loop recorder (ELR) screening improves atrial fibrillation detection in community dwelling adults with a CHA2DS2-VASc score of greater than two.
Design: Randomised cross-over clinical trial.
J Cardiovasc Transl Res
January 2025
Clinical Laboratory of Tianjin Chest Hospital, 261 Taierzhuang South Road, Tianjin, 300222, Jinnan District, China.
The prognostic value of differentially expressed senescence-related genes(DESRGs) in ST-segment elevation myocardial infarction(STEMI) patients is unclear. We used GEO2R to identify DESRGs from GSE60993 and performed functional enrichment analysis. We built an optimal prognostic model with LASSO penalized Cox regression via GSE49925.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
School of Public Health, the Second Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Background: To estimate the additive associations of cardiometabolic multimorbidity (CMM) and depression on long-term cognitive trajectory in multi-regional cohorts and validate the generalizability of the findings in varying clinical settings.
Method: Data harmonization was performed across 14 longitudinal cohort studies within the Cohort Studies of Memory in an International Consortium (COSMIC) group, spanning North America, South America, Europe, Africa, Asia, and Australia. Three external validation studies with distinct settings were employed to assess generalizability.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!