The HeartInsight system showed similar positive predictive values (7% female, 20% male) and negative predictive values (~97%) for worsening HF in Japanese ICD/CRT-D patients.
Does the HeartInsight remote monitoring system accurately predict worsening heart failure comparably between female and male Japanese patients with an ICD or CRT-D?
The HeartInsight remote monitoring system demonstrates a high negative predictive value for ruling out worsening heart failure in both male and female Japanese patients with ICD/CRT-D devices, though its positive predictive value remains low.
Tasa de eventos absoluta: 0% vs 0%
Abstract Background Heart failure (HF) is a significant public health concern, and early detection of worsening HF can improve clinical outcomes. The HeartInsight (HI) system is an advanced heart failure risk prediction tool that utilizes physiological and clinical parameters to identify patients at risk of worsening HF. In November 2023, the HI remote monitoring system became available in Japan for Biotronik Implantable Cardioverter Defibrillator (ICD) and Cardiac Resynchronization Therapy Defibrillator (CRT-D) users. However, the impact of sex differences on the accuracy of HI predictions remains unclear, particularly in Japanese patients. Purpose This study aims to assess the system’s predictive accuracy in female versus male patients with HF in a Japanese cohort. Methods We retrospectively analyzed 293 patients (female: 59 20%; age: 70 ± 3 years; non-ischemic cardiomyopathy: 160 55%) who underwent Biotronik ICD or CRT-D implantation at two Japanese institutions between March 2019 and February 2025. An HI alert was defined as a score of 45 or higher sustained for three consecutive days. Patient demographics, HI alert status, and remote monitoring parameters were analyzed. Results The HI scores were available for 183 patients, including 43 with female and 140 with male. Between September 2024 and February 2025, 14 and 44 patients experienced HI score alerts and one and 9 patients required HF hospitalization or outpatient treatment, yielding a positive predictive value of 7 and 20% in patients with female and male, respectively. Among 29 and 96 patients without HI alerts, only one and 4 required HF hospitalization, yielding a negative predictive value of 97 and 96% in patients with female and male, respectively. The positive predictive value and negative predictive value were statistically equivalent between the two groups (p=0.42, p=1.00). Conclusions The HI system demonstrated comparable predictive accuracy for worsening HF in both female and male Japanese patients with an Bitronik ICD or CRT-D. These findings suggest that while the HI system effectively identifies patients at low risk of HF events regardless of sex, its ability to predict HF deterioration may vary between female and male patients. Further research with larger cohorts is warranted to explore potential sex-specific factors influencing HI score performance and to optimize predictive models for improved clinical application.
Takanashi et al. (Sat,) reported a other. The HeartInsight system showed similar positive predictive values (7% female, 20% male) and negative predictive values (~97%) for worsening HF in Japanese ICD/CRT-D patients.