Why the study?
The study aimed to characterize implantable device-based sensor values in patients with heart failure during clinically stable periods compared with the time course of acute decompensation and recovery from HF events.
Do implantable device-based multiparameter sensors differentiate heart failure patients at increased risk of events during clinically stable periods and detect worsening status leading up to events?
Population
900 patients implanted with a COGNIS CRT-D
Comparison
Clinically stable periods vs timeframes leading up to and following HF events
Design
Prospective cohort study (MultiSENSE trial)
Follow-up
Up to 1 year
Key result
Device-based physiologic sensors, including the HeartLogic index (11.07 vs 5.31, P=0.001), differentiated patients at increased risk of HF events when presumed to be clinically stable.
Authors
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Sensor data should not yet guide interventions in stable HF; leaves open utility pending randomized outcome trials.
Observational (n=900)
Do implantable device-based multiparameter sensors differentiate heart failure patients at increased risk of events during clinically stable periods and detect worsening status leading up to events?
Implantable multiparameter sensors can detect progressive worsening leading up to heart failure events and identify high-risk patients even during presumed clinically stable periods.
Gardner et al. (2021) conducted an observational in Heart failure (n=900). Implantable device-based physiologic sensors (COGNIS CRT-D) vs. Patients without HF events was evaluated on Sensor values during clinically stable periods in patients with vs without HF events. Device-based physiologic sensors, including the HeartLogic index (11.07 vs 5.31, P=0.001), differentiated patients at increased risk of HF events when presumed to be clinically stable.