PRecision Event Monitoring for PatienTs with Heart Failure using HeartLogic (PREEMPT-HF) study design and enrolment

John Boehmer1, Andrew J Sauer2, Roy Gardner3

  • 1Penn State Hershey Medical Center, Hershey, PA, USA.

ESC Heart Failure
|September 23, 2023
PubMed

Insights

The PREEMPT-HF study explored the HeartLogic multisensor index and its sensors for predicting heart failure (HF) readmissions. This research aims to improve HF management by analyzing sensor data trends.

Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Medical Device Technology

Background:

  • The HeartLogic multisensor index is a known sensitive predictor of worsening heart failure (HF).
  • Limited data exists on the association between the HeartLogic index, its constituent sensors, and HF readmissions.
  • Understanding these associations is crucial for refining HF management strategies.

Purpose of the Study:

  • To explore the association between the HeartLogic multisensor index and its sensors with heart failure readmissions.
  • To characterize sensor changes in relation to HF readmission, tachyarrhythmias, and other event subgroups.
  • To provide clinical data that may refine the use of HeartLogic for improved patient outcomes.

Main Methods:

  • The PREEMPT-HF study was a global, prospective, observational, post-market study involving 2183 HF patients with specific implantable devices.
  • HeartLogic sensor data and alerts were blinded to clinicians.
  • Data on all-cause hospitalizations and HF outpatient visits were collected over 12 months.

Main Results:

  • 2183 patients were enrolled across 103 sites between June 2018 and June 2020.
  • The patient cohort included a significant proportion with cardiac resynchronization therapy with defibrillator (61%), over 65 years old (61%), and with NYHA class II or III HF (53% and 33%).
  • Key patient characteristics included ejection fraction <25% (21%), ischemic heart disease (50%), and history of renal dysfunction (23%).

Conclusions:

  • The PREEMPT study will yield clinical data and blinded sensor trends.
  • These data will aid in characterizing sensor changes associated with HF readmission and other events.
  • The findings are expected to refine the clinical application of HeartLogic and enhance patient outcomes.
Abstract

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