The PREEMPT-HF study represents the largest study to date evaluating HeartLogic sensors in relationship to HF hospitalization and death. It is also the first large study to include ICD and CRT-D patients .
The results will inform the real-world performance of HeartLogic for several key outcomes that have not been evaluated previously.
Heart failure readmission:
Hospitalizations due to worsening HF are associated with high post-acute re-hospitalization and mortality. Considering the large sample size, PREEMPT-HF is expected to have sufficient events that allow to evaluate sensor changes preceding hospital readmission. These data could contribute to a better understanding of discharge readiness and an improved comprehension of sensor changes within the 30-days subsequent to hospital discharge.
It is well known that arrhythmias are more common as HF progresses. Considering the association between arrhythmias and worsening heart failure, it is crucial to better understand the relation of HF-related sensor data and the risk of tachyarrhythmias and device therapy.
Heart failure is composite of multiple heterogeneous entities and different classification of acute worsening heart failure has been proposed. Physiological measurements underlying clinical classifications exhibit significant variation. PREEMPT-HF offers a large data set for using phenomapping techniques to identify subgroups of HF patients.