Why the study?
The study was conducted to examine the relationship between basal septal hypertrophy and left ventricular geometry in a community population.
Does basal septal hypertrophy correlate with left ventricular geometry (LVMI and RWT) in a community population?
Does basal septal hypertrophy correlate with left ventricular geometry (LVMI and RWT) in a community population?
Basal septal hypertrophy is independently associated with increased relative wall thickness and concentric remodeling in a community population, suggesting it may serve as an early marker of adverse left ventricular geometric changes.
BSH associates with concentric remodeling in community adults; leaves open prognostic value and need for prospective validation.
Background: In this study, we examined the relationship between basal septal hypertrophy (BSH) and left ventricular (LV) geometry in a Beijing community population. Methods: The clinical and echocardiographic data of 1,032 participants from a community in Beijing were analyzed. BSH was defined as a basal interventricular septal thickness of ≥14 mm and a basal septal thickness/mid-septal thickness of ≥1.3 mm. Based on their echocardiographic characteristics, patients were described as having a normal geometry, concentric remodeling, concentric hypertrophy, or eccentric hypertrophy. Multivariate logistic regression was used to analyze the relationship between BSH, LV mass index (LVMI), and relative wall thickness (RWT). Results: The prevalence of BSH was 7.4%. Basal interventricular septal thickness, LV posterior wall thickness, and RWT were greater, while LVMI and LV end-diastolic dimension were lower in the BSH group than in the non-BSH group (p < 0.05). The BSH group accounted for the highest proportion of patients with concentric remodeling. A multivariate regression analysis showed that BSH independently correlated with RWT (odds ratio 3.874, 95% confidence interval 1.983–7.571, p < 0.05), but not with LVMI (odds ratio 0.137, 95% confidence interval 0.018–1.017, p = 0.052). There was no interaction between BSH and each covariate, including age, body mass index, sex, diabetes mellitus, coronary heart disease, stroke, and smoking. Conclusions: In this study, BSH independently correlated with RWT. There was no significant difference in BSH or RWT between the BSH group and the non-BSH group.
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Gao et al. (2022) studied this question.
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