Differentiating hypertrophic cardiomyopathy from athlete's heart: An electrocardiographic and echocardiographic approach

J Electrocardiol. 2016 Jul-Aug;49(4):539-44. doi: 10.1016/j.jelectrocard.2016.03.005. Epub 2016 Mar 5.

Abstract

Differential diagnosis of hypertrophic cardiomyopathy (HCM) vs athlete's heart is challenging in individuals with mild-moderate left-ventricular hypertrophy. This study aimed to assess ECG and echocardiographic parameters proposed for the differential diagnosis of HCM. The study included 75 men in three groups: control (n=30), "gray zone" athletes with interventricular septum (IVS) measuring 13-15mm (n=25) and HCM patients with IVS of 13-18mm (n=20). The most significant differences were found in relative septal thickness (RST), calculated as the ratio of 2 x IVS to left ventricle end-diastolic diameter (LV-EDD) (0.37, 0.51, 0.71, respectively; p<0.01) and in spatial QRS-T angle as visually estimated (9.8, 33.6, 66.2, respectively; p<0.01). The capacity for differential HCM diagnosis of each of the 5 criteria was assessed using the area under the curve (AUC), as follows: LV-EDD<54 (0.60), family history (0.61), T-wave inversion (TWI) (0.67), spatial QRS-T angle>45 (0.75) and RST>0.54 (0.92). Pearson correlation between spatial QRS-T angle>45 and TWI was 0.76 (p 0.01). The combination of spatial QRS-T angle>45 and RST>0.54 for diagnosis of HCM had an AUC of 0.79. The best diagnostic criteria for HCM was RST>0.54. The spatial QRS-T angle>45 did not add sensitivity if TWI was present. No additional improvement in differential diagnosis was obtained by combining parameters.

Keywords: Athlete's heart; Echocardiography; Hypertrophic cardiomyopathy; Spatial QRS-T angle.

MeSH terms

  • Adult
  • Algorithms
  • Cardiomegaly / diagnosis*
  • Cardiomegaly, Exercise-Induced*
  • Cardiomyopathy, Hypertrophic / diagnosis*
  • Diagnosis, Computer-Assisted / methods*
  • Diagnosis, Differential
  • Echocardiography / methods*
  • Electrocardiography / methods*
  • Humans
  • Male
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Sports / statistics & numerical data