
Novel Approach to the Detection of Left Ventricular Hypertrophy Using Body Mass Index–Corrected Electrocardiographic Voltage Criteria in a Group of African Ancestry
Author(s) -
Robinson Chanel,
Woodiwiss Angela J.,
Libhaber Carlos D.,
Norton Gavin R.
Publication year - 2016
Publication title -
clinical cardiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.263
H-Index - 72
eISSN - 1932-8737
pISSN - 0160-9289
DOI - 10.1002/clc.22560
Subject(s) - left ventricular hypertrophy , medicine , qrs complex , cardiology , body mass index , muscle hypertrophy , obesity , electrocardiography , overweight , blood pressure
Background Electrocardiographic (ECG) QRS voltages used to generate criteria for left ventricular hypertrophy (LVH) detection are considerably attenuated by obesity. This effect renders the utility of ECG criteria to detect LVH in obese individuals of African ancestry to be of limited value. Hypothesis A novel approach to correcting QRS voltages for the attenuating effect of body mass index (BMI) will improve the ability of ECG criteria to detect LVH in a group of African descent. Methods Left ventricular mass was determined from echocardiography in 661 randomly selected participants (43.0% obese) of black African ancestry in South Africa. Results As compared with Cornell and Sokolow‐Lyon voltage criteria, BMI best correlated with R aVL , Gubner‐Ungerleider, and Lewis QRS complex voltages, but these relations were noted only in those with BMI <29 kg/m 2 . Correcting R aVL and Lewis voltages by the difference in the slope of BMI‐voltage relations in those with BMI <29 kg/m 2 vs those with BMI ≥29 kg/m 2 showed the greatest performance for LVH detection (uncorrected R aVL : 0.695 ± 0.025, corrected R aVL : 0.733 ± 0.022; P < 0.0001), and also increased the sensitivity (uncorrected R aVL : 30.6%, corrected R aVL : 42.4%; P < 0.0005) with no significant change in specificity (uncorrected R aVL : 86.3%, corrected R aVL : 83.0%; P = 0.28). Conclusions We offer a novel approach to correcting ECG voltages for the attenuating effects of obesity in individuals of African ancestry, and this improves the performance and sensitivity for LVH detection.