Associations between heart failure-related quality of life and clinical parameters in patients with hypertrophic cardiomyopathy: a cross-sectional analysis of data from a multicentre Japanese registry.

Saotome, Masao; Akita, Keitaro; Kageyama, Shigetaka; Suzuki, Sayumi; Ohno, Kazuto; Kamakura, Masamitsu; Nawada, Ryuzo; Takanaka, Chiei et al. · BMJ Open · 2025

cross_sectional · Level IV

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Abstract

To investigate the relationship between a quality of life (QOL) score and clinical parameters in patients with hypertrophic cardiomyopathy (HCM). A multicentre cross-sectional study. We analysed data from the Searching for Atrial Fibrillation and Early Recruitment of Heart Failure in HCM registry, collected between 2018 and 2023. Patients with HCM (n=499) aged ≥18 years from 12 institutions (Shizuoka Prefecture, Japan) were consecutively enrolled. Clinical parameters, along with data from a short form of the Kansas City Cardiomyopathy Questionnaire (KCCQ-12), were collected. The association between each clinical parameter and the KCCQ-12 score was analysed. Clinical parameters with a significant univariable association (p<0.05) were used in a multiple regression model to investigate independent clinical parameters associated with the KCCQ-12 score. The coefficients and relative importance of each parameter included in the multiple regression model were also evaluated. In the univariable analysis, KCCQ-12 scores exhibited significant associations with 21 clinical parameters, including sex, left ventricular morphology and the Pittsburgh Sleep Quality Index (PSQI). The multiple regression model with 12 parameters that had a significant univariable association exhibited an adjusted R<sup>2</sup> of 0.48. In this model, the PSQI (standardised coefficient -0.39; p<0.001), history of sustained ventricular tachycardia or fibrillation, history of atrial fibrillation (-0.23; p<0.001), female sex (-0.19; p=0.035), systolic blood pressure (0.17; p=0.040), lateral E/e prime (-0.17; p=0.049) and A wave (-0.14, p=0.049) were independently associated with the KCCQ-12 score with high relative importance. In patients with HCM, we investigated the association between the KCCQ-12 score and various clinical parameters. PSQI, as well as known heart failure-related clinical parameters, was significantly associated with the KCCQ-12 score. Visualising the associations of various clinical parameters with the KCCQ-12 score will help physicians to consider factors linked to the decline in QOL in patients with HCM.

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