Why the study?
The ability of the Cordio HearO System, a software medical device analyzing daily voice recordings, to detect impending HF events in ambulatory HF patients needed prospective evaluation.
Population
563 ambulatory HF patients performing daily smartphone voice recordings
Comparison
Daily voice-based monitoring using the Cordio HearO System algorithm (single-arm exposure)
Design
Prospective, international, multicenter, single-arm, blinded, noninterventional study
Answers are grounded in this paper and cite their sources.
Voice monitoring may aid impending HF event detection; leaves open whether it improves outcomes in randomized trials.
Background The Cordio HearO System is a software medical device that analyzes daily voice recordings to identify changes associated with worsening HF. Objective The objective of the DETECT-HF study was to evaluate the ability of the HearO System to detect impending HF events (HFEs) using a voice-based monitoring algorithm. Methods DETECT-HF was a prospective, international, multicenter, single-arm, blinded, noninterventional study in HF patients who performed daily voice recordings on their smartphones. Co-primary endpoints were sensitivity for detecting adjudicated first HFEs (HF hospitalization or outpatient HFE requiring intravenous therapy) and the unexplained priority notification rate (UPNR). Performance was assessed against predefined criteria of a lower 95% confidence interval (CI) ≥60% for sensitivity and <3 notifications/person-year for UPNR. Analyses were also performed using all HFEs (first and recurrent events). Secondary endpoints included safety and usability assessments, including patient adherence to daily voice recordings. Results Between March 2021 and July 2025, 563 patients were enrolled. Mean age was 67.6±11.5 years, and 70.9% were male. The HearO System detected 52 of 76 first HFEs, yielding a sensitivity of 68.4% (95% CI: 58.0%-78.9%; p=0.0573), which was below the pre-specified performance target. For all HFEs (n=112), sensitivity was 70.5% (95% CI: 60.8%-78.7%). On average, HFEs were detected 24.1 days before clinical presentation. UPNR was 2.65 notifications/patient-year (95% CI: 2.53-2.76; P<0.001) for first HFEs, meeting the pre-specified performance criterion, and 2.59 notifications/patient-year (95% CI: 2.48-2.70) for all HFEs. Sensitivity and UPNR estimates were consistent across prespecified subgroups. A questionnaire demonstrated excellent usability (mean scores ranging from 4.7 to 4.9 on a 5-point scale across usability questions). Mean adherence to daily recordings was 85%, and no device-related adverse events occurred. Conclusions Voice-based monitoring with the HearO System detected impending HFEs weeks before clinical presentation with reasonable sensitivity, low alert burden, high adherence, and an excellent safety profile.
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Abraham et al. (2026) studied this question.
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