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Predictive value of electrocardiographic left ventricular hypertrophy in the general population: A meta-analysis.

Abstract：

BACKGROUND:Conflicting results have been reported on the predictive value of the electrocardiographic left ventricular hypertrophy (LVH) in the general population. This meta-analysis sought to compare the predictive value of different electrocardiographic criteria of LVH in the general population. METHODS:We comprehensively searched PubMed and Embase databases until May 9, 2020 to identify observational studies investigating the predictive value of different electrocardiographic criteria for LVH (Sokolow-Lyon voltage, Cornell voltage or Cornell product) in the general population. Outcome measures were major adverse cardiovascular events (MACEs), cardiovascular or all-cause mortality. RESULTS:Ten studies enrolling 58,400 individuals were included. Comparison with and without electrocardiographic LVH, the pooled risk ratio (RR) of MACEs was 1.62 (95% confidence interval [CI] 1.40-1.89) for the Sokolow-Lyon voltage criteria, 1.70 (95% CI 1.27-2.29) for the Cornell voltage criteria, and 1.56 (95% CI 1.17-2) for the Cornell product criteria. The pooled RR of all-cause mortality was 1.47 (95% CI 1.10-1.97) for the Sokolow-Lyon voltage criteria and 1.87 (95% CI 1.29-2.71) for the Cornell voltage criteria. Furthermore, the pooled RR of cardiovascular mortality was 1.38 (95% CI 1.19-1.60) for the Sokolow-Lyon criteria, 1.66 (95% CI 1.24-2.33) for the Cornell voltage criteria, and 1.82 (95% CI 0.65-5.09) for the Cornell product criteria. CONCLUSIONS:Different electrocardiographic criteria for evaluating LVH had a similar value in predicting MACEs among the general population. LVH detected by the Cornell voltage appeared to have a stronger predictive value in prediction of cardiovascular or all-cause mortality.

journal_name

J Electrocardiol

journal_title

Journal of electrocardiology

authors

You Z,He T,Ding Y,Yang L,Jiang X,Huang L

doi

10.1016/j.jelectrocard.2020.07.001

subject

Has Abstract

pub_date

2020-01-01 00:00:00

pages

14-19

eissn

0022-0736

issn

1532-8430

pii

S0022-0736(20)30492-1

journal_volume

62

pub_type

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