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Cardiovasc Diabetol
January 2025
State Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background: Among hypertensive cohorts across different nations, the relationship between the triglyceride-glucose index (TyG) and its conjunction with obesity metrics in relation to cardiovascular disease (CVD) incidence and mortality remains to be elucidated.
Methods: This study enrolled 9,283, 164,357, and 5,334 hypertensives from the National Health and Nutrition Examination Survey (NHANES), UK Biobank (UKBB), and Shanghai Pudong cohort. The related outcomes for CVD were defined by multivariate Cox proportional hazards models, Generalized Additive Models and Mendelian randomization analysis.
Sci Rep
January 2025
School of Computer Science and Engineering, VIT-AP University, Vijayawada, India.
In recent years, the healthcare data system has expanded rapidly, allowing for the identification of important health trends and facilitating targeted preventative care. Heart disease remains a leading cause of death in developed countries, often leading to consequential outcomes such as dementia, which can be mitigated through early detection and treatment of cardiovascular issues. Continued research into preventing strokes and heart attacks is crucial.
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January 2025
Department of Ultrasound Medicine, The Affiliated Nanhua Hospital, Hengyang Medical school, University of South China, Hengyang, 421002, China.
The association between the recently updated cardiovascular health (CVH) assessment algorithm, the Life's Essential 8 (LE8), and all-cause mortality among adults with depression remains unknown. From the National Health and Nutrition Examination Survey (NHANES) spanning 2005-2018, a cohort of 2,935 individuals diagnosed with depression was identified. Their CVH was evaluated through the LE8 score system.
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January 2025
Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Subject-specific parameters in lumped hemodynamic models of the cardiovascular system can be estimated using data from experimental measurements, but the parameter estimation may be hampered by the variability in the input data. In this study, we investigate the influence of inter-sequence, intra-observer, and inter-observer variability in input parameters on estimation of subject-specific model parameters using a previously developed approach for model-based analysis of data from 4D Flow MRI acquisitions and cuff pressure measurements. The investigated parameters describe left ventricular time-varying elastance and aortic compliance.
View Article and Find Full Text PDFBackground And Aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) has a global prevalence of 25%. Studies on incident liver and cardiovascular outcomes in lean (Body mass index: BMI < 25 kg/m, or < 23 kg/m for Asians) vs. non-lean individuals with MASLD have reported mixed results.
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