Literature DB >> 10954373

Race- and sex-specific ECG models for left ventricular mass in older populations. Factors influencing overestimation of left ventricular hypertrophy prevalence by ECG criteria in African-Americans.

P M Rautaharju1, L P Park, J S Gottdiener, D Siscovick, R Boineau, V Smith, N R Powe.   

Abstract

The validity of the reported high prevalence of left ventricular hypertrophy (LVH) among African-American men and women has been questioned owing to conflicting echocardiographic evidence. We used echocardiographic left ventricular mass (LVM) from M-mode measurements to evaluate associations between LVM, body size, and electrocardiographic (ECG) variables in 3,627 white and African-American men and women 65 years of age and older who were participants of the Cardiovascular Health Study (CHS), a multicenter cohort study of risk factors for coronary heart disease and stroke. ECG amplitudes used in LVH criteria were substantially higher in African-Americans, with apparent LVH prevalence 2 to 3 times higher in African American men and women than in white men and women, although there was no significant racial difference in echocardiographic LVM. The higher apparent LVH prevalence by Sokolow-Lyon criteria in African-American men is in part owing to smaller lateral chest diameter. In women, reasons for racial differences in ECG LVH prevalence remain largely unexplained although a small part of the excess LVH in African-American women by the Sokolow-Lyon criteria appears to be owing to a larger lateral chest semidiameter in white women. ECG variables alone were too inaccurate for LVM prediction, and it was necessary to incorporate in all ECG models body weight that was properly adjusted for race and sex. This resulted in modest LVM prediction accuracy, with R-square values ranging from .22 to .36. Race- and sex-specific ECG models introduced for LVM estimation with an appropriate adjustment for body size differences are expected to facilitate evaluation of LVH status in contrasting racial population groups.

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Year:  2000        PMID: 10954373     DOI: 10.1054/jelc.2000.7667

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  26 in total

1.  Prevalence of electrocardiographic abnormalities in a middle-aged, biracial population: Coronary Artery Risk Development in Young Adults study.

Authors:  Joseph A Walsh; Ronald Prineas; Martha L Daviglus; Hongyan Ning; Kiang Liu; Cora E Lewis; Steven Sidney; Pamela J Schreiner; Carlos Iribarren; Donald M Lloyd-Jones
Journal:  J Electrocardiol       Date:  2010-04-05       Impact factor: 1.438

Review 2.  Increased prevalence of concentric left ventricular hypertrophy in African-Americans: will an epidemic of heart failure follow?

Authors:  Sandeep Kamath; David Markham; Mark H Drazner
Journal:  Heart Fail Rev       Date:  2006-12       Impact factor: 4.214

3.  Association of electrocardiographic and imaging surrogates of left ventricular hypertrophy with incident atrial fibrillation: MESA (Multi-Ethnic Study of Atherosclerosis).

Authors:  Jonathan Chrispin; Aditya Jain; Elsayed Z Soliman; Eliseo Guallar; Alvaro Alonso; Susan R Heckbert; David A Bluemke; João A C Lima; Saman Nazarian
Journal:  J Am Coll Cardiol       Date:  2014-03-19       Impact factor: 24.094

4.  Fibroblast growth factor 23, left ventricular mass, and left ventricular hypertrophy in community-dwelling older adults.

Authors:  Anna Jovanovich; Joachim H Ix; John Gottdiener; Kim McFann; Ronit Katz; Bryan Kestenbaum; Ian H de Boer; Mark Sarnak; Michael G Shlipak; Kenneth J Mukamal; David Siscovick; Michel Chonchol
Journal:  Atherosclerosis       Date:  2013-09-13       Impact factor: 5.162

5.  Diagnostic and prognostic utility of electrocardiography for left ventricular hypertrophy defined by magnetic resonance imaging in relationship to ethnicity: the Multi-Ethnic Study of Atherosclerosis (MESA).

Authors:  Aditya Jain; Harikrishna Tandri; Darshan Dalal; Harjit Chahal; Elsayed Z Soliman; Ronald J Prineas; Aaron R Folsom; João A C Lima; David A Bluemke
Journal:  Am Heart J       Date:  2010-04       Impact factor: 4.749

6.  Assessing and Mitigating Bias in Medical Artificial Intelligence: The Effects of Race and Ethnicity on a Deep Learning Model for ECG Analysis.

Authors:  Peter A Noseworthy; Zachi I Attia; LaPrincess C Brewer; Sharonne N Hayes; Xiaoxi Yao; Suraj Kapa; Paul A Friedman; Francisco Lopez-Jimenez
Journal:  Circ Arrhythm Electrophysiol       Date:  2020-02-16

7.  Genetic influences on resting electrocardiographic variables in older women: a twin study.

Authors:  Sara Mutikainen; Alfredo Ortega-Alonso; Markku Alén; Jaakko Kaprio; Jouko Karjalainen; Taina Rantanen; Urho M Kujala
Journal:  Ann Noninvasive Electrocardiol       Date:  2009-01       Impact factor: 1.468

8.  Electrocardiographic and Echocardiographic Left Ventricular Hypertrophy in the Prediction of Stroke in the Elderly.

Authors:  Wesley T O'Neal; Mohamed F Almahmoud; Waqas T Qureshi; Elsayed Z Soliman
Journal:  J Stroke Cerebrovasc Dis       Date:  2015-07-04       Impact factor: 2.136

9.  Thresholds in the relationship between mortality and left ventricular hypertrophy defined by electrocardiography.

Authors:  Edward P Havranek; Caroline D B Emsermann; Desiree N Froshaug; Frederick A Masoudi; Mori J Krantz; Rebecca Hanratty; Raymond O Estacio; L Miriam Dickinson; John F Steiner
Journal:  J Electrocardiol       Date:  2008-03-14       Impact factor: 1.438

10.  Usefulness of Left Ventricular Mass and Geometry for Determining 10-Year Prediction of Cardiovascular Disease in Adults Aged >65 Years (from the Cardiovascular Health Study).

Authors:  Chintan S Desai; Traci M Bartz; John S Gottdiener; Donald M Lloyd-Jones; Julius M Gardin
Journal:  Am J Cardiol       Date:  2016-06-14       Impact factor: 2.778

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