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Background: This 12-year study aimed to compare the longitudinal change in left ventricular diastolic dysfunction (LVDD) between healthy elderly, coronary artery disease (CAD), and hypertension (HTN) patients. Methods: From 2008 to 2020, 1476 patients were included, and 3181 echocardiography examinations were conducted. Finally, 130 participants (36 healthy elderly (79.39 ± 9.51 years old), 51 with CAD (68.31 ± 12.09 years old), and 43 with HTN (68.31 ± 12.09 years old)) with more than a 10-year follow-up period were included in the final analysis. Results: The change in diastolic function was different among these subjects according to the integrated score index (elderly vs. HTN, p = 0.01; CAD vs. HTN, p = 0.01), septal E/e′ ratio (elderly vs. HTN, p < 0.001; CAD vs. HTN, p = 0.01), lateral E/e′ ratio (elderly vs. HTN, p < 0.001; CAD vs. HTN, p < 0.001), and NYHA functional class (elderly vs. HTN, p = 0.03; CAD vs. HTN, p < 0.001). Additionally, per one-year increase in age, the integrated score index increased 0.2 in the healthy elderly, 0.15 in the CAD, and 0.06 in the HTN patients (all p < 0.05). Conclusion: Under aggressive treatment, diastolic function was relatively preserved in HTN subjects with aging in comparison with elderly and CAD subjects.
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http://dx.doi.org/10.3390/jpm12030415 | DOI Listing |
J Korean Med Sci
September 2025
Department of Preventive Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Background: Clinics and hospitals in South Korea are often perceived as competitors to each other. This study examines the overlapping roles in providing primary care provision between clinics and hospitals by analyzing the healthcare facility type where patients first receive diagnoses of hypertension (HTN) or diabetes mellitus (DM). We also explore the characteristics of patients that influence their choice of healthcare facility and compare healthcare utilization patterns in the first year post-diagnosis by facility type.
View Article and Find Full Text PDFVasc Health Risk Manag
September 2025
Department of Biotechnology and Genetic Engineering, Jordan University of Science and Technology, Irbid, 22110, Jordan.
Purpose: Hypertension (HTN) is a complex disorder regulated by multiple physiological systems. Each individual's underlying genetic architecture strongly influences inter-individual variability in therapeutic responses to HTN. Consequently, identifying candidate genes that contribute to the genetic basis of HTN remains a significant challenge.
View Article and Find Full Text PDFMedicine (Baltimore)
September 2025
Department of Community Medicine and Public Health, Maharajgunj Medical Campus, Institute of Medicine, Tribhuvan University, Kathmandu, Nepal.
Chronic diseases, such as diabetes mellitus (DM) and hypertension (HTN), are growing public health concerns globally, with notably low management rates in low- and middle-income countries. This study aimed to assess the care-related outcomes of DM and HTN in Bidur Municipality, Nepal. This cross-sectional study was conducted in Bidur Municipality in Nuwakot District of Nepal.
View Article and Find Full Text PDFHeart
September 2025
Tianjin Medical University, Tianjin, China
Background: Accelerated biological ageing has been linked to elevated risks of hypertension (HTN) and cardiovascular diseases (CVDs), yet its role in shaping the dynamic progression from health to HTN, to CVDs, and ultimately to mortality remains poorly understood. We aimed to investigate these transitions using biological ageing measures and to assess the mediating role of intermediate disease states.
Methods: We analysed data from 136 614 UK Biobank participants aged 38-73 years, all free of HTN and CVDs at baseline.
PLoS One
September 2025
Facultad de Medicina, Universidad de Colima, Colima, México.
Uncontrolled hypertension (HTN) increases the risk of adverse health events. This study aimed to identify key predictors of uncontrolled HTN in 1,308 Mexican adults with a prior diagnosis of HTN who were undergoing pharmacological treatment. We utilized data from the 2022 National Health and Nutrition Survey and applied data-driven algorithms within an artificial intelligence framework to enhance predictive accuracy and interpretability.
View Article and Find Full Text PDF