This study aimed to evaluate the prevalence and the association between hypertension (HTN) and atrial fibrillation (AF) in hemodialysis (HD) patients. A chart review-based, cross-sectional study was conducted on HD patients who had received HD for at least 6 months. Demographic, hemodynamic, and laboratory data were retrieved from the BestCare system, and the main outcomes were blood pressure before and after dialysis, and the presence of AF. Our sample consisted of 304 HD patients; 162 (53%) were male, and the mean age was 63 ± 18 years. Sixty-eight (20%) had AF, of whom 44 (64.7%) were male, with a mean age of 73 ± 12 years. The risk of AF increased by 0.4 [odds ratio: 1.04; 95% confidence interval (CI): 1.02-1.06; P <0.001] for every year of age. Almost the entire sample (66.45%, n = 202) was hypertensive, and those patients had a mean age of 64 ± 17 years, and nearly one-third had a body mass index in the obese category (28.7%, n = 58). In addition, with every increase in the Charlson comorbidity index score by two points, there was a 40% increased risk of developing HTN (OR: 2.47; 95% CI: 1.17-5.18; P = 0.017). The risk factors for the development of HTN and AF in HD patients were found to be increasing age for AF and female sex for HTN. The presence of HTN and diabetes increased the risk of developing AF seven-fold after HD.
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http://dx.doi.org/10.4103/1319-2442.395447 | DOI Listing |
Diabetes Obes Metab
January 2025
Department of Hypertension and Vascular Disease, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Aims: Previous studies have shown that eGDR and TyG, as indicators of insulin resistance (IR), were key risk factors for cardiovascular disease (CVD). Our study further explored the relationship between eGDR change and new-onset CVD, and compared the predictive value of eGDR change, eGDR and TyG.
Materials And Methods: A total of 2895 participants without CVD at baseline from the China Health and Retirement Longitudinal Study (CHARLS) were included, using K-means clustering and cumulative eGDR to measure eGDR change between 2012 and 2015.
Diabetol Metab Syndr
January 2025
The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, No. 910, Hengshan Rd., Shanghai, 200030, China.
Background: Triglyceride-glucose (TyG) index was suggested as a possible surrogate for insulin resistance and a predictor for cardiovascular diseases and diabetes in the non-pregnant population. However, the relationship between TyG index in early pregnancy and adverse pregnancy outcomes (APOs), and the contribution of pre-pregnancy body mass index (BMI) was still illusive.
Methods: A large retrospective cohort study involving 67,936 pregnant Chinese women between 2017 and 2022 was conducted.
BMC Pulm Med
January 2025
Pulmonary and Critical Care Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Background: Research indicates that obesity can worsen the clinical manifestations of chronic obstructive pulmonary disease (COPD). Timely detection of COPD has the potential to enhance treatment results. This study seeks to investigate the association between a new metabolic indicator, the lipid accumulation product (LAP), and the risk of developing COPD.
View Article and Find Full Text PDFBMC Public Health
January 2025
School of Public Health, Heinz Mehlhorn Academician Workstation, Hainan Medical University, Haikou, 571199, Hainan, People's Republic of China.
Background: Hainan is a tropical island in China with a large migratory population. Study have reported that the blood pressure of Hainan elderly hypertensive migratory population decreased significantly, which may be related to the improvement of environment and quality of life (QoL). Understanding the changes of QoL of these people before and after coming to Hainan and its influencing factors can provide a basis for the prevention and control of hypertension.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Trauma Surgery, Hannover Medical School, Carl-Neuberg St. 1, 30625, Hannover, Lower Saxony, Germany.
Treatment of severely injured patients represents a major challenge, in part due to the unpredictable risk of major adverse events, including death. Preemptive personalized treatment aimed at preventing these events is a crucial objective of patient management; however, the currently available scoring systems provide only moderate guidance. Biomarkers from proteomics/peptidomics studies hold promise for improving the current situation, ultimately enabling precision medicine based on individual molecular profiles.
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