文摘
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Objectives
The goal of this study was to determine whether aortic pulse wave velocity (aPWV) improves prediction of cardiovascular disease (CVD) events beyond conventional risk factors.Background
<p>Several studies have shown that aPWV may be a useful risk factor for predicting CVD, but they have been underpowered to examine whether this is true for different subgroups.Methods
<p>We undertook a systematic review and obtained individual participant data from 16 studies. Study-specific associations of aPWV with CVD outcomes were determined using Cox proportional hazard models and random effect models to estimate pooled effects.Results
<p>Of 17,635 participants, a total of 1,785 (10%) had a CVD event. The pooled age- and sex-adjusted hazard ratios (HRs) per 1-SD change in loge aPWV were 1.35 (95% confidence interval [CI]: 1.22 to 1.50; p聽< 0.001) for coronary heart disease, 1.54 (95% CI: 1.34 to 1.78; p聽< 0.001) for stroke, and 1.45 (95% CI: 1.30 to 1.61; p聽< 0.001) for CVD. Associations stratified according to sex, diabetes, and hypertension were similar but decreased with age (1.89, 1.77, 1.36, and 1.23 for聽age 鈮?0, 51 to 60, 61 to 70, and >70 years, respectively; pinteraction聽<0.001). After adjusting for conventional risk factors, aPWV remained a predictor of coronary heart disease (HR: 1.23 [95% CI: 1.11 to 1.35]; p聽< 0.001), stroke (HR: 1.28 [95% CI: 1.16 to 1.42]; p聽< 0.001), and CVD events (HR: 1.30 [95% CI: 1.18 to 1.43]; p聽< 0.001). Reclassification indices showed that the addition of aPWV improved risk prediction (13% for 10-year CVD risk for intermediate risk) for some subgroups.Conclusions
<p>Consideration of aPWV improves model fit and reclassifies risk for future CVD events in models that include standard risk factors. aPWV may enable better identification of high-risk populations that might benefit from more aggressive CVD risk factor management.
