Heart failure & cardiomyopathies
PRecision Event Monitoring for PatienTs with Heart Failure Using HeartLogic (PREEMPT-HF) Study Design and Enrolment
Authors' conclusion
The PREEMPT study will provide clinical data and blinded sensor trends for the characterization of sensor changes with HF readmission, tachyarrhythmias, and event subgroups.
Study context
- Population
- Heart failure (HF) patients with an ICD or CRT-D with HeartLogic capabilities (sensor data collection on, HeartLogic feature not enabled)
- Participants
- 2,183 patients103 sites
- Outcome
- Baseline characteristics of enrolled patients
Methodological detailsstudy design and enrolment, global, multicentre, single-arm, post-market, blinded sensor data, exploratory, no formal hypothesis tests, Enrolment June 2018 to June 2020, Medical record evaluation at 6 months and final in-clinic visit at 12 months for all-cause hospitalizations and HF outpatient visits, HeartLogic Index/alert and heart sounds trends unavailable to clinicians via LATITUDE (blinded)
- Study design and enrolment
- Global
- Multicentre
- Single-arm
- Post-market
- Blinded sensor data
- Exploratory, no formal hypothesis tests
- Enrolment June 2018 to June 2020
- Medical record evaluation at 6 months and final in-clinic visit at 12 months for all-cause hospitalizations and HF outpatient visits
- HeartLogic Index/alert and heart sounds trends unavailable to clinicians via LATITUDE (blinded)
Main finding
As reported in the abstract
- ICD
- 39%
- CRT-D
- 61%
- Female
- 27%
- Over 65
- 61%
- NYHA class I
- 13%
- NYHA class II
- 53%
- NYHA class III
- 33%
- EF < 25%
- 21%
- Ischaemic
- 50%
- History of renal dysfunction
- 23%
Observational data: associations, not effects.
Original publication
PRecision Event Monitoring for PatienTs with Heart Failure Using HeartLogic (PREEMPT-HF) Study Design and Enrolment. ESC Heart Fail. Published 22 September 2023. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →