About MultiSENSE
Overview
MultiSENSE was an international, multicenter, non-randomized feasibility study designed to determine how ambulatory sensor measurements change with worsening heart failure (HF).
Goals
Develop and validate a multi-sensor algorithm for the early detection of worsening heart failure.
Conclusions
HeartLogic multi-sensor index and alert algorithm provide a sensitive and timely predictor of impending heart failure decompensation.1
The Journey
Research
- 10+ years research
- Data analysis from 12 clinical trials
- Extensive HF clinic customer visits
Algorithm Development
- Thousands of candidate features evaluated and down selected for optimal algorithm development
Algorithm Design
- Multiple fusion techniques evaluated
- Multiple combinations of learnings leveraged in final algorithm
70% SENSITIVITY
in Detecting Heart Failure Events
A MEDIAN OF 34 DAYS
Advance Notice of Worsening Heart Failure
<2 TOTAL ALERTS
Per Patient Per Year
“From the time an alert occurs until the heart failure event—the median time is 34 days. That gives us a great opportunity to change the course of the future.”
John P. Boehmer, MD
Identifying High-Risk Patients
The MultiSENSE study demonstrated HeartLogic Heart Failure Diagnostic’s ability to identify high-risk patients, which may allow clinicians to focus on patients at highest risk while maintaining surveillance of low-risk patients.
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References
1. Boehmer JP, Hariharan R, Devecchi FG, et al. A multisensor algorithm predicts heart failure events in patients with implanted devices: results from the MultiSENSE study. JACC Heart Fail. 2017 Mar;5(3):216-225. doi: 10.1016/j.jchf.2016.12.011
2. Gardner R, Singh J, Stancak B, et al. HeartLogic multisensor algorithm identifies patients during periods of significantly increased risk of heart failure events: results from the MultiSENSE study. Circ Heart Fail. 2018;11(7):e004669. doi: 10.1161/circheartfailure.117.004669