Article Text
Abstract
Objectives To evaluate the role of the ECG in the differential diagnosis between Anderson-Fabry disease (AFD) and hypertrophic cardiomyopathy (HCM).
Methods In this multicentre retrospective study, 111 AFD patients with left ventricular hypertrophy were compared with 111 patients with HCM, matched for sex, age and maximal wall thickness by propensity score. Independent ECG predictors of AFD were identified by multivariate analysis, and a multiparametric ECG score-based algorithm for differential diagnosis was developed.
Results Short PR interval, prolonged QRS duration, right bundle branch block (RBBB), R in augmented vector left (aVL) ≥1.1 mV and inferior ST depression independently predicted AFD diagnosis. A point-by-point ECG score was then derived with the following diagnostic performances: c-statistic 0.80 (95% CI 0.74 to 0.86) for discrimination, the Hosmel-Lemeshow χ2 6.14 (p=0.189) for calibration, sensitivity 69%, specificity 84%, positive predictive value 82% and negative predictive value 72%. After bootstrap resampling, the mean optimism was 0.025, and the internal validated c-statistic for the score was 0.78.
Conclusions Standard ECG can help to differentiate AFD from HCM while investigating unexplained left ventricular hypertrophy. Short PR interval, prolonged QRS duration, RBBB, R in aVL ≥1.1 mV and inferior ST depression independently predicted AFD. Their systematic evaluation and the integration in a multiparametric ECG score can support AFD diagnosis.
- cardiomyopathy
- hypertrophic
- electrocardiography
- metabolic diseases
- genetic diseases
- inborn
Data availability statement
All data relevant to the study are included in the article or uploaded as supplementary material. The authors from each center guarantee the integrity of data from their institution. All provided data included in the article cannot be traced back to individuals that participated in the study.
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Data availability statement
All data relevant to the study are included in the article or uploaded as supplementary material. The authors from each center guarantee the integrity of data from their institution. All provided data included in the article cannot be traced back to individuals that participated in the study.
Supplementary materials
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Footnotes
Twitter @RosaLillo14, @elena.biagini73@gmail.com
GV and RD contributed equally.
Contributors GV and RD contributed equally to this work. Study design: EB and NT. Collection of data: GV and FDN. Data analysis: GV, RD, FDN, NT and EB. Statistical analysis: GV, RD, NT and EN. Drafting of the manuscript: GV, RD, NT and EB. Critical revision for important intellectual content: IO, AL and CR. Revision, editing and approval of the final manuscript: all authors.
Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Competing interests None declared.
Provenance and peer review Not commissioned; externally peer reviewed.
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