Aortic pulse wave velocity improves cardiovascular event prediction: An individual participant meta-analysis of prospective observational data from 17,635 subjects

Yoav Ben-Shlomo, Melissa Spears, Chris Boustred, Margaret May, Simon G. Anderson, Emelia J. Benjamin, Pierre Boutouyrie, James Cameron, Chen Huan Chen, J. Kennedy Cruickshank, Shih Jen Hwang, Edward G. Lakatta, Stephane Laurent, João Maldonado, Gary F. Mitchell, Samer S. Najjar, Anne B. Newman, Mitsuru Ohishi, Bruno Pannier, Telmo PereiraRamachandran S. Vasan, Tomoki Shokawa, Kim Sutton-Tyrell, Francis Verbeke, Kang Ling Wang, David J. Webb, Tine Willum Hansen, Sophia Zoungas, Carmel M. McEniery, John R. Cockcroft, Ian B. Wilkinson

    Research output: Contribution to journalArticlepeer-review

    Abstract

    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 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 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 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 <0.001) for coronary heart disease, 1.54 (95% CI: 1.34 to 1.78; p <0.001) for stroke, and 1.45 (95% CI: 1.30 to 1.61; p <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 age ≤50, 51 to 60, 61 to 70, and >70 years, respectively; pinteraction
    Original languageEnglish
    Pages (from-to)636-646
    Number of pages10
    JournalJournal of the American College of Cardiology
    Volume63
    Issue number7
    DOIs
    Publication statusPublished - 25 Feb 2014

    Keywords

    • cardiovascular disease
    • meta-analysis
    • prognostic factor
    • pulse wave velocity

    Fingerprint

    Dive into the research topics of 'Aortic pulse wave velocity improves cardiovascular event prediction: An individual participant meta-analysis of prospective observational data from 17,635 subjects'. Together they form a unique fingerprint.

    Cite this