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Lipid profile and prognosis in patients with coronary heart disease: a meta-analysis of prospective cohort studies.


ABSTRACT:

Background

This meta-analysis based on prospective cohort studies aimed to evaluate the associations of lipid profiles with the risk of major adverse cardiovascular outcomes in patients with coronary heart disease (CHD).

Methods

The PubMed, Embase, and Cochrane Library electronic databases were systematically searched for prospective cohort study published through December 2019, and the pooled results were calculated using the random-effects model.

Results

Twenty-one studies with a total of 76,221 patients with CHD met the inclusion criteria. The per standard deviation (SD) increase in triglyceride was associated with a reduced risk of major adverse cardiovascular events (MACE). Furthermore, the per SD increase in high-density lipoprotein cholesterol (HDL-C) was associated with a reduced risk of cardiac death, whereas patients with lower HDL-C were associated with an increased risk of MACE, all-cause mortality, and cardiac death. Finally, the risk of MACE was significantly increased in patients with CHD with high lipoprotein(a) levels.

Conclusions

The results of this study suggested that lipid profile variables could predict major cardiovascular outcomes and all-cause mortality in patients with CHD.

SUBMITTER: Zhao X 

PROVIDER: S-EPMC7860615 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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Lipid profile and prognosis in patients with coronary heart disease: a meta-analysis of prospective cohort studies.

Zhao Xiangmei X   Wang Dongying D   Qin Lijie L  

BMC cardiovascular disorders 20210203 1


<h4>Background</h4>This meta-analysis based on prospective cohort studies aimed to evaluate the associations of lipid profiles with the risk of major adverse cardiovascular outcomes in patients with coronary heart disease (CHD).<h4>Methods</h4>The PubMed, Embase, and Cochrane Library electronic databases were systematically searched for prospective cohort study published through December 2019, and the pooled results were calculated using the random-effects model.<h4>Results</h4>Twenty-one studie  ...[more]

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