Why the study?
The study was designed to assess the effect of gender and body size on the diagnosis of HCM and prediction of clinical outcome.
Does indexation of maximal left ventricular wall thickness by body surface area or weight improve the diagnosis of HCM and prediction of clinical outcomes in genotype-positive subjects?
Does indexation of maximal left ventricular wall thickness by body surface area or weight improve the diagnosis of HCM and prediction of clinical outcomes in genotype-positive subjects?
Indexing maximal left ventricular wall thickness by body surface area or weight mitigates gender differences and improves predictive accuracy for HCM-related events in genotype-positive subjects.
May refine HCM diagnosis and risk prediction in genotype-positive patients by mitigating gender differences; extends observational evidence without supporting practice change.
BACKGROUND: Family screening for hypertrophic cardiomyopathy (HCM) is based on genetic testing and clinical evaluation (maximal left ventricular wall thickness (MWT) ≥15 mm, or ≥13 mm in first-degree relatives of HCM patients). The aim of this study was to assess the effect of gender and body size on diagnosis of HCM and prediction of clinical outcome. METHODS: This study includes 199 genotype-positive subjects (age 44 ± 15 years, 50% men) referred for cardiac screening. Gender-specific reference values for MWT indexed by body surface area (BSA), height and weight were derived from 147 healthy controls. Predictive accuracy of each method for HCM-related events was assessed by comparing areas under the receiver operating characteristic curves (AUC). RESULTS: : 58% vs 45%; ≤70 kg: 37% vs 46%; ≥85 kg: 53% vs 25%, all p < 0.05) and improved predictive accuracy (AUC 0.76 [95% CI 0.69-0.82] vs 0.78 [0.72-0.85]; and vs 0.80 [0.74-0.87]; both p < 0.05). CONCLUSIONS: In genotype-positive subjects referred for family screening, differences in MWT across gender are mitigated after indexation by BSA or weight. Indexation decreases the prevalence of HCM, particularly in larger men, and improves the predictive accuracy for HCM-related events.
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Huurman et al. (2019) studied this question.
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