Association of the Estimated Pulse Wave Velocity with Cardio-Vascular Disease Outcomes among Men and Women Aged 40-69 Years in the Korean Population: An 18-Year Follow-Up Report on the Ansung-Ansan Cohort in the Korean Genome Environment Study.
Byung Sik KimYonggu LeeJin-Kyu ParkYoung-Hyo LimJeong-Hun ShinPublished in: Journal of personalized medicine (2022)
The estimated pulse wave velocity (ePWV) can predict adverse cardiovascular disease (CVD) outcomes in patients with increased CVD risks. However, data on its predictive capacity for CVD outcomes in the general population are limited. This study aimed to investigate the association between the ePWV and CVD outcomes among Korean adults. Ten thousand thirty patients aged 40-69 years from the Ansung-Ansan cohort in a prospective community-based cohort study were followed up for over 18 years. The ePWV was categorized into quartiles. Cox proportional hazard models were used to estimate the risk of cardiovascular (CV) mortality and CVD outcomes (composites of CV mortality, myocardial infarction, coronary artery disease, stroke, heart failure, and peripheral artery disease). The incidence of CV mortality and CVD outcomes was 7.0% and 22.1% in the fourth (highest) ePWV quartile and 0.1% and 4.5% in the first (lowest) quartile, respectively. After relevant covariate adjustments, the patients in the fourth quartile showed a significantly higher CV mortality risk (hazard ratio (HR), 7.57; 95% confidence interval (CI), 1.83-31.25). The patients in the third and fourth quartiles had higher CVD outcome risks (third: HR, 1.61; 95% CI, 1.19-2.16; fourth: HR, 1.56; 95% CI, 1.05-2.31) than those in the first quartile. This association was more clearly observed among women than among men. An elevated ePWV is associated with CV mortality and CVD outcomes. The ePWV is expected to serve as a potential marker for identifying high-risk groups for CVD events.
Keyphrases
- end stage renal disease
- heart failure
- cardiovascular disease
- coronary artery disease
- chronic kidney disease
- cardiovascular events
- newly diagnosed
- prognostic factors
- risk factors
- blood pressure
- healthcare
- pregnant women
- dna methylation
- acute coronary syndrome
- gene expression
- patient reported outcomes
- skeletal muscle
- metabolic syndrome
- artificial intelligence
- insulin resistance
- machine learning
- genome wide
- polycystic ovary syndrome
- middle aged
- drug induced