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The Romhilt-Estes left ventricular hypertrophy score and its components predict all-cause mortality in the general population.

Abstract：

BACKGROUND:The same electrocardiographic (ECG) criteria that have been used for detection of left ventricular hypertrophy (LVH) have recently been recognized as predictors of adverse clinical outcomes, but this predictive ability is inadequately explored and understood. METHODS:A total of 14,984 participants from the ARIC study were included in this analysis. Romhilt-Estes (R-E) LVH score was measured from the automatically processed baseline (1987-1989) ECG data. All-cause mortality was ascertained up to December 2010. Cox proportional hazard models were used to examine the association between baseline R-E score, overall and each of its 6 individual components separately, with all-cause mortality. The associations between change in R-E score between baseline and first follow-up visit with mortality were also examined. RESULTS:During a median follow-up of 21.7 years, 4,549 all-cause mortality events occurred during follow-up. In multivariable-adjusted models, increasing levels of the R-E score was associated with increasing risk of mortality both as a baseline finding and as a change between the baseline and the first follow-up visit. Of the 6 ECG components of the score, 4 were predictive of all-cause mortality (P-terminal force, QRS amplitude, LV strain, and intrinsicoid deflection), whereas 2 of the components were not (left axis deviation and prolonged QRS duration). Differences in the strengths of the associations between the individual components of the score and mortality were observed. CONCLUSIONS:The R-E score, traditionally used for detection of LVH, could be used as a useful tool for predication of adverse outcomes.

journal_name

Am Heart J

journal_title

American heart journal

authors

Estes EH,Zhang ZM,Li Y,Tereschenko LG,Soliman EZ

doi

10.1016/j.ahj.2015.04.004

subject

Has Abstract

pub_date

2015-07-01 00:00:00

pages

104-9

issue

1

eissn

0002-8703

issn

1097-6744

pii

S0002-8703(15)00236-7

journal_volume

170

pub_type

杂志文章

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