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 Pereira; Ramachandran 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

doi:10.1016/j.jacc.2013.09.063

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 journal › Article › peer-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 language	English
Pages (from-to)	636-646
Number of pages	10
Journal	Journal of the American College of Cardiology
Volume	63
Issue number	7
DOIs	https://doi.org/10.1016/j.jacc.2013.09.063
Publication status	Published - 25 Feb 2014

Keywords

cardiovascular disease
meta-analysis
prognostic factor
pulse wave velocity

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.jacc.2013.09.063

Cite this

Ben-Shlomo, Y., Spears, M., Boustred, C., May, M., Anderson, S. G., Benjamin, E. J., Boutouyrie, P., Cameron, J., Chen, C. H., Cruickshank, J. K., Hwang, S. J., Lakatta, E. G., Laurent, S., Maldonado, J., Mitchell, G. F., Najjar, S. S., Newman, A. B., Ohishi, M., Pannier, B., ... Wilkinson, I. B. (2014). Aortic pulse wave velocity improves cardiovascular event prediction: An individual participant meta-analysis of prospective observational data from 17,635 subjects. Journal of the American College of Cardiology, 63(7), 636-646. https://doi.org/10.1016/j.jacc.2013.09.063

@article{2f05cd1e672d47179ecaf01b4162e692,

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

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",

keywords = "cardiovascular disease, meta-analysis, prognostic factor, pulse wave velocity",

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

year = "2014",

month = feb,

day = "25",

doi = "10.1016/j.jacc.2013.09.063",

language = "English",

volume = "63",

pages = "636--646",

journal = "Journal of the American College of Cardiology",

issn = "0735-1097",

publisher = "Elsevier BV",

number = "7",

}

Ben-Shlomo, Y, Spears, M, Boustred, C, May, M, Anderson, SG, Benjamin, EJ, Boutouyrie, P, Cameron, J, Chen, CH, Cruickshank, JK, Hwang, SJ, Lakatta, EG, Laurent, S, Maldonado, J, Mitchell, GF, Najjar, SS, Newman, AB, Ohishi, M, Pannier, B, Pereira, T, Vasan, RS, Shokawa, T, Sutton-Tyrell, K, Verbeke, F, Wang, KL, Webb, DJ, Willum Hansen, T, Zoungas, S, McEniery, CM, Cockcroft, JR & Wilkinson, IB 2014, 'Aortic pulse wave velocity improves cardiovascular event prediction: An individual participant meta-analysis of prospective observational data from 17,635 subjects', Journal of the American College of Cardiology, vol. 63, no. 7, pp. 636-646. https://doi.org/10.1016/j.jacc.2013.09.063

Aortic pulse wave velocity improves cardiovascular event prediction: An individual participant meta-analysis of prospective observational data from 17,635 subjects. / Ben-Shlomo, Yoav; Spears, Melissa; Boustred, Chris et al.

In: Journal of the American College of Cardiology, Vol. 63, No. 7, 25.02.2014, p. 636-646.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Aortic pulse wave velocity improves cardiovascular event prediction: An individual participant meta-analysis of prospective observational data from 17,635 subjects

AU - Ben-Shlomo, Yoav

AU - Spears, Melissa

AU - Boustred, Chris

AU - May, Margaret

AU - Anderson, Simon G.

AU - Benjamin, Emelia J.

AU - Boutouyrie, Pierre

AU - Cameron, James

AU - Chen, Chen Huan

AU - Cruickshank, J. Kennedy

AU - Hwang, Shih Jen

AU - Lakatta, Edward G.

AU - Laurent, Stephane

AU - Maldonado, João

AU - Mitchell, Gary F.

AU - Najjar, Samer S.

AU - Newman, Anne B.

AU - Ohishi, Mitsuru

AU - Pannier, Bruno

AU - Pereira, Telmo

AU - Vasan, Ramachandran S.

AU - Shokawa, Tomoki

AU - Sutton-Tyrell, Kim

AU - Verbeke, Francis

AU - Wang, Kang Ling

AU - Webb, David J.

AU - Willum Hansen, Tine

AU - Zoungas, Sophia

AU - McEniery, Carmel M.

AU - Cockcroft, John R.

AU - Wilkinson, Ian B.

PY - 2014/2/25

Y1 - 2014/2/25

N2 - 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

AB - 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

KW - cardiovascular disease

KW - meta-analysis

KW - prognostic factor

KW - pulse wave velocity

U2 - 10.1016/j.jacc.2013.09.063

DO - 10.1016/j.jacc.2013.09.063

M3 - Article

VL - 63

SP - 636

EP - 646

JO - Journal of the American College of Cardiology

JF - Journal of the American College of Cardiology

SN - 0735-1097

IS - 7

ER -

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

Abstract

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this