Dataset Information

Association between ideal cardiovascular health metrics and risk of cardiovascular events or mortality: A meta-analysis of prospective studies.

ABSTRACT:

Background

Observational studies evaluating the relationship between ideal cardiovascular health (CVH) metrics and risk of cardiovascular (CV) events and mortality yielded inconsistent results.

Hypothesis

Improvement in CVH metrics can result in substantial reductions in the risk of cardiovascular disease (CVD), stroke, and mortality.

Methods

We examined associations between ideal CVH metrics and CV events and mortality by conducting a meta-analysis of data from prospective cohort studies identified by searching PubMed and Web of Science from their inception to February 2017 and reviewing the reference lists of the retrieved articles.

Results

Thirteen prospective studies involving a total of 193 126 cohort members were included in this meta-analysis. When comparing the most to the least category of ideal CVH metrics, the overall relative risks (RRs) were 0.54 (95% confidence interval [CI]: 0.41-0.69) for all-cause mortality, 0.30 (95% CI: 0.18-0.51) for CV mortality, 0.22 (95% CI: 0.11-0.42) for CVD, and 0.33 (95% CI: 0.20-0.55) for stroke, respectively. A linear dose-response relationship was seen in all-cause and CV mortality. The risk decreased by 11% and 19% for each increase in ideal CVH metrics. For the analyses of ideal health status in relation to all-cause and CV mortality, significant results were obtained from smoking, diet, physical activity, plasma glucose levels, and blood pressure.

Conclusions

Ideal CVH status, or even 1 point increase in CVH metrics, can result in substantial reductions in the risk of CVD, stroke, and mortality. Improving metrics of smoking, diet, physical activity, plasma glucose levels, and blood pressure will achieve the highest benefits.

SUBMITTER: Guo L

PROVIDER: S-EPMC6490399 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Association between ideal cardiovascular health metrics and risk of cardiovascular events or mortality: A meta-analysis of prospective studies.

Guo Leilei L Zhang Shangshu S

Clinical cardiology 20171226 12

<h4>Background</h4>Observational studies evaluating the relationship between ideal cardiovascular health (CVH) metrics and risk of cardiovascular (CV) events and mortality yielded inconsistent results.<h4>Hypothesis</h4>Improvement in CVH metrics can result in substantial reductions in the risk of cardiovascular disease (CVD), stroke, and mortality.<h4>Methods</h4>We examined associations between ideal CVH metrics and CV events and mortality by conducting a meta-analysis of data from prospective ...[more]

PMID: 29278429

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Project description:ImportanceWhether optimal cardiovascular health metrics may counteract the risk of cardiovascular events among patients with prediabetes or diabetes is unclear.ObjectiveTo investigate the associations of ideal cardiovascular health metrics (ICVHMs) with subsequent development of cardiovascular disease (CVD) among participants with prediabetes or diabetes as compared with participants with normal glucose regulation.Design, setting, and participantsThe China Cardiometabolic Disease and Cancer Cohort Study was a nationwide, population-based, prospective cohort study of 20 communities from various geographic regions in China. The study included 111 765 participants who were free from CVD or cancer at baseline. Data were analyzed between 2011 and 2016.ExposuresPrediabetes and diabetes were defined according to the American Diabetes Association 2010 criteria. Seven ICVHMs were adapted from the American Heart Association recommendations.Main outcomes and measuresThe composite of incident fatal or nonfatal CVD, including cardiovascular death, myocardial infarction, stroke, and hospitalized or treated heart failure.ResultsOf the 111 765 participants, 24 881 (22.3%) had normal glucose regulation, 61 024 (54.6%) had prediabetes, and 25 860 (23.1%) had diabetes. Mean (SD) age ranged from 52.9 (8.6) years to 59.4 (8.7) years. Compared with participants with normal glucose regulation, among participants with prediabetes, the multivariable-adjusted hazard ratio for CVD was 1.34 (95% CI, 1.16-1.55) for participants who had 1 ICVHM or less and 0.57 (95% CI, 0.43-0.75) for participants who had at least 5 ICVHMs; among participants with diabetes, the hazard ratios for CVD were 2.05 (95% CI, 1.76-2.38) and 0.80 (95% CI, 0.56-1.15) for participants who had 1 ICVHM or less and at least 5 ICVHMs, respectively. Such pattern of association between ICVHMs and CVD was more prominent for participants younger than 55 years (prediabetes and at least 5 ICVHMs: hazard ratio [HR], 0.32; 95% CI, 0.16-0.63; 1 ICVHM or less: HR, 1.58; 95% CI, 1.13-2.21; diabetes and at least 5 ICVHMs: HR, 0.99; 95% CI, 0.44-2.26; 1 ICVHM or less: HR, 2.46; 95% CI, 1.71-3.54; compared with normal glucose regulation) than for participants 65 years or older (prediabetes and at least 5 ICVHMs: HR, 0.80; 95% CI, 0.50-1.26; 1 ICVHM or less: HR, 1.01; 95% CI, 0.79-1.31; diabetes and at least 5 ICVHMs: HR, 0.79; 95% CI, 0.46-1.35; 1 ICVHM or less: HR, 1.73; 95% CI, 1.36-2.22, compared with normal glucose regulation; P values for interaction ≤.02). Additionally, the hazard ratio for CVD per additional ICVHM was 0.82 (95% CI, 0.79-0.86) among participants with prediabetes and was 0.85 (95% CI, 0.80-0.89) among participants with diabetes.Conclusions and relevanceParticipants with prediabetes or diabetes who had 5 or more ICVHMs exhibited lower or no significant excess CVD risks compared with the participants with normal glucose regulation.

Dataset Information

Association between ideal cardiovascular health metrics and risk of cardiovascular events or mortality: A meta-analysis of prospective studies.

Background

Hypothesis

Methods

Results

Conclusions

Publications

Association between ideal cardiovascular health metrics and risk of cardiovascular events or mortality: A meta-analysis of prospective studies.

Similar Datasets

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