AI Article Synopsis

  • The HeartInsight multiparametric algorithm uses remote monitoring data from implantable cardioverter-defibrillators (ICDs) to calculate an HF Score, which helps predict worsening heart failure hospitalizations (WHFHs).
  • A study pooled data from 9 clinical trials involving 1,841 ICD patients, finding that a high baseline HF Score significantly correlates with increased long-term risks of death and WHFHs.
  • The analysis revealed that patients with an HF Score over 23 faced more than double the risk of experiencing death or WHFH compared to those with lower scores, emphasizing the score's potential in risk stratification for heart failure patients.

Article Abstract

Background: To predict worsening heart failure hospitalizations (WHFHs), the HeartInsight multiparametric algorithm calculates a heart failure (HF) Score based on temporal trends of physiologic parameters obtained through automatic daily remote monitoring of implantable cardioverter-defibrillators (ICDs).

Objective: We studied the association of the baseline HF Score, determined at algorithm activation, with long-term patient outcomes.

Methods: Data from 9 clinical trials were pooled, including 1841 ICD patients with a preimplantation ejection fraction ≤35%, New York Heart Association class II/III, and no long-standing atrial fibrillation. The primary end point was a composite of death or WHFH.

Results: After a median follow-up of 631 days (interquartile range, 385-865 days), there were 243 WHFHs in 173 patients (9.4%) and 122 deaths (6.6%), 52 of which (42.6%) were cardiovascular. The primary end point occurred in 265 patients (14.4%). A multivariable time-to-first-event analysis showed that a high baseline HF Score (>23, as determined by a time-dependent receiver operating characteristics curve analysis) was significantly associated with the occurrence of the primary end point (adjusted hazard ratio [HR], 2.05; 95% confidence interval [CI], 1.54-2.71; P < .0001), all-cause death (HR, 2.37; CI, 1.56-3.58; P < .0001), cardiovascular death (HR, 2.19; CI, 1.14-4.22; P = .019), and WHFH (HR, 1.91; CI, 1.35-2.71; P = .0003). In a hierarchical event analysis of all-cause death as the outcome with highest priority and WHFHs as repeated event outcomes, the win ratio was 2.47 (CI, 1.89-3.24; P < .0001).

Conclusion: Based on a retrospective analysis of clinical trial data with adjudicated events, baseline HF Score derived from device-monitored variables was able to stratify patients at higher long-term risk of death or WHFH.

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Source
http://dx.doi.org/10.1016/j.hrthm.2024.10.005DOI Listing

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