Key result
HeartLogic remote monitoring achieves ~78% sensitivity for detecting HF hospitalizations and outpatient visits.
Why the study?
Improved patient monitoring and management after heart failure hospitalizations are needed to significantly reduce readmissions, prompting investigation into the association between monitoring data and readmissions.
Does remote monitoring with the HeartLogic index predict readmissions in adult heart failure patients with ICD/CRT-D devices?
Observational (n=2,155)
Double-blind
Yes
Does remote monitoring with the HeartLogic index predict readmissions in adult heart failure patients with ICD/CRT-D devices?
The HeartLogic index can identify heart failure patients at higher risk for readmission, suggesting its potential utility in post-discharge monitoring and management.
HeartLogic trends may identify postdischarge readmission risk in HF; leaves open whether alert-guided management reduces events in randomized trials.
BACKGROUND: Improved patient monitoring and management after heart failure (HF) hospitalizations are needed to reduce readmissions significantly. OBJECTIVES: The aim of this study was to investigate the association between monitoring data and readmissions. METHODS: PREEMPT-HF (PRecision Event Monitoring for PatienTs with Heart Failure using HeartLogic) was a global, observational, single-arm study enrolling adult HF patients remotely monitored with HeartLogic-capable implantable cardioverter-defibrillator and cardiac resynchronization therapy devices. Patients and clinicians were blinded to the index and alerts. Participants were followed for 12 months for site reporting of events. RESULTS: A total of 2,155 patients were enrolled at 103 sites and were monitored remotely (39% implantable cardioverter-defibrillators and 61% cardiac resynchronization therapy-defibrillators). There were 243 hospitalizations for HF, of which 156 (64%) were index hospitalizations. There were 25 (28%) unplanned all-cause readmissions in the 30 days after discharge and 45 (46%) all-cause readmissions within 90 days. Alert sensitivity for outpatient visits and hospitalizations for HF was 78.3%, and the false-positive rate was 1.18/year. The HeartLogic index was higher before index hospitalizations for HF when followed by HF or readmission for all causes. Index hospitalizations for HF were also more likely to be followed by readmission for HF in 90 days if the patient was in an alert state (vs out-of-alert state) 1 or 2 weeks before or 2 weeks after the index admission. CONCLUSIONS: HeartLogic index trends were significantly different for patients who were readmitted for HF. These trends suggest that individuals at risk for readmission have had a more sustained worsening and/or insufficient intervention during the initial hospitalization for HF. (PRecision Event Monitoring for PatienTs with Heart Failure using HeartLogic [PREEMPT-HF]; NCT03579641).
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Sauer et al. (2025) conducted an observational in Heart failure (n=2,155). HeartLogic index remote monitoring vs. Out-of-alert state was evaluated on Alert sensitivity for outpatient visits and hospitalizations for HF. Remote monitoring using the HeartLogic index achieved 78.3% sensitivity for outpatient visits and heart failure hospitalizations, with a false-positive rate of 1.18/year.
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