Compared with the lowest tertile, the highest tertile of estimated pulse wave velocity was associated with an 89% increased risk of incident cardiometabolic multimorbidity (HR 1.89).
Cohort (n=6,551)
Does higher estimated pulse wave velocity (ePWV) increase the risk of incident cardiometabolic multimorbidity in middle-aged and older adults?
Higher estimated pulse wave velocity is significantly associated with an increased risk of incident cardiometabolic multimorbidity, suggesting its potential utility as a simple screening tool in resource-limited settings.
Hazard Ratio: 1.89 (95% CI 1.35–2.64)
p-value: p=<0.001
Cardiometabolic multimorbidity (CMM) is a growing global public health challenge. Early identification of CMM is crucial for preventive management and reducing disease burden. The aim of this study was to investigate the association between estimated pulse wave velocity (ePWV), a convenient measure derived from age and blood pressure, and risk of incident CMM in middle-aged and older adults. This study used data from Health and Retirement Study (HRS). Cox proportional hazards regression models and restricted cubic spline (RCS) regression models were used to explore the association between ePWV and incident CMM. A total of 6551 participants were included in the analysis. The median age of the participants at baseline was 66 years IQR: 58—73 years, and 2396 (36.57%) were men. Participants were stratified into three groups according to tertiles of ePWV, with median (IQR) values of 8.69 (8.01—9.19), 10.58 (10.11—11.08), and 12.82 (12.18—13.89) m/s, respectively. After multivariate adjustment, compared with the lowest tertile, the middle and highest tertiles were associated with a 80% (HR: 1.80, 95% CI: 1.38—2.34) and 89% (HR: 1.89, 95% CI: 1.35—2.64) increased risk of CMM. The RCS regression model revealed a significant positive association between ePWV and the incidence of CMM ( P = 0.0004). Subgroup analyses and competing risk analysis confirmed the robustness of the main results. A positive association was observed between ePWV and incident CMM in middle-aged and older adults. This simplified approach holds notable value in resource-limited settings, highlighting the potential of integrating ePWV into routine screenings for early CMM identification.
Zhang et al. (Sat,) conducted a cohort in Cardiometabolic multimorbidity (n=6,551). Estimated pulse wave velocity (ePWV) vs. Lowest tertile of ePWV was evaluated on Incident cardiometabolic multimorbidity (CMM) (HR 1.89, 95% CI 1.35-2.64, p=<0.001). Compared with the lowest tertile, the highest tertile of estimated pulse wave velocity was associated with an 89% increased risk of incident cardiometabolic multimorbidity (HR 1.89).
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