HeartLogic Multisensor Algorithm Identifies Patients During Periods of Significantly Increased Risk of Heart Failure Events
Triage
Risk Stratification
DOI:
10.1161/circheartfailure.117.004669
Publication Date:
2018-07-12T09:12:36Z
AUTHORS (12)
ABSTRACT
Background: Care of heart failure (HF) patients results in a high burden on healthcare resources, and estimating prognosis is becoming increasingly important to triage resources wisely. Natriuretic peptides are recommended prognosticators chronic HF. Our objective was evaluate whether multisensor HF index alert algorithm (HeartLogic) replaces or augments current risk stratification. Methods Results: MultiSENSE (Multisensor Chronic Evaluation Ambulatory Heart Failure Patients) enrolled 900 with cardiac resynchronization therapy defibrillators enabled for collection sounds, respiration, thoracic impedance, rate, activity data. The HeartLogic automatically calculated daily identified periods IN OUT an active state relative configurable threshold. Patients experienced 192 independently adjudicated events (average 0.20/patient-year [pt-yr]) during 1 year follow-up. event rates while 10-fold higher than (0.80 versus 0.08 events/pt-yr). Combined NT-proBNP (N-terminal pro-B-type natriuretic peptide) at enrollment (relative 1000 pg/mL threshold, rate 0.42 [HIGH] 0.07 [LOW] events/pt-yr), substratification found the lowest group (LOW alert) 0.02 events/pt-yr, whereas highest (HIGH associated 50-fold increased (1.00 events/pt-yr) group. Conclusions: Dynamic assessment using implantable device sensors within by itself conjunction measurements can identify time-intervals when significantly worsening potentially better this vulnerable patient population. Clinical Trial Registration: https://www.clinicaltrials.gov . Unique identifier: NCT01128166.
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