Key result
HeartInsight remote monitoring alerts predict HF hospitalization with a ~20% positive predictive value.
Why the study?
The applicability and predictive accuracy of the HeartInsight remote monitoring system for predicting heart failure hospitalization remained underexplored in Asian populations, including Japan.
Does the HeartInsight remote monitoring system alert predict heart failure hospitalization in Japanese patients with severe heart failure?
Cohort (n=140)
Yes
Does the HeartInsight remote monitoring system alert predict heart failure hospitalization in Japanese patients with severe heart failure?
The HeartInsight remote monitoring system demonstrates a high negative predictive value (96%) for heart failure events in Japanese patients with severe heart failure, reliably identifying low-risk patients.
Supports high NPV for ruling out HF events in Japanese ICD patients; extends SELENE-HF but leaves open need for prospective validation.
Background In Japan, the HeartInsight (HI) remote monitoring system became available for Biotronik Implantable Cardioverter Defibrillator (ICD) and Cardiac Resynchronization Therapy Defibrillator (CRT-D) users in November 2023. The HI score is designed to predict heart failure (HF) hospitalization and has shown utility in the SELENE-HF trial conducted in Italy. However, its applicability and predictive accuracy in Asian populations, including Japan, remain underexplored. Purpose To evaluate the usefulness of the HI system in predicting worsening heart failure in Japanese patients with severe heart failure. Methods We analyzed 293 patients who underwent Biotronik ICD or CRT-D implantation at two institutions between March 2019 and February 2025. Of those, 140 patients with heart failure and left ventricular ejection fraction (LVEF) ≤35% were retrospectively analyzed (female: [%]; age: 72 ± 5 years; non-ischemic cardiomyopathy: 80 [57%]). The mean LVEF was 27.4%. 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 HI scores were available for 101 patients. Between September 2024 and February 2025, 30 patients experienced HI score alerts and 6 patients required HF hospitalization, including 1 appropriate ICD shock therapy due to ventricular fibrillation, or outpatient treatment, yielding a positive predictive value of 20%. Among 68 patients without HI alerts, only 3 required HF hospitalization, yielding a negative predictive value of 96%. Conclusions In Japanese patients with severe heart failure, the HI system demonstrated a high negative predictive value, similar to the SELENE-HF trial, confirming its reliability in identifying patients at low risk for HF events. Heart failure management using the HI score guide with remote monitoring may have the potential to improve patient outcomes. A large-scale study in Asia to predict worsening HF using the HI system is needed.
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Kuji et al. (2025) conducted a cohort in Severe heart failure (n=140). HeartInsight (HI) remote monitoring system vs. No HI alert was evaluated on Heart failure hospitalization or outpatient treatment. The HeartInsight remote monitoring system predicted heart failure hospitalization with a positive predictive value of 20% and a negative predictive value of 96% in Japanese patients.
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