Voice Analysis to Detect Pulmonary Arterial Pressure Changes in Heart Failure
Part of paid clinical trials in San Francisco, California.
- Sponsor
- Noah Labs
- Study ID
- NCT07443670
- Status
- Recruiting
Conditions
Eligibility Criteria
- Sex
- ALL
- Age
- 18 Years - N/A
- Healthy Volunteers
- Not accepted
Interventions
- Daily Voice Recording — OTHERPatients record daily voice samples (sustained vowels and a standardized reading passage) using the Noah Labs mobile app. PA pressure readings are collected daily per standard care using the implanted sensor. Voice recordings are analyzed retrospectively using machine learning algorithms after study completion.
Study Details
VAPP-HF is a prospective, multi-center, observational study assessing whether daily voice recordings analyzed by a machine learning algorithm can detect changes in pulmonary arterial (PA) pressure in heart failure patients with implanted PA pressure sensors (e.g., CardioMEMS, Cordella). Patients across three sites in Germany and the United States provide daily voice recordings via a mobile app for 12 weeks while continuing standard PA pressure monitoring and heart failure care. Voice data is analyzed retrospectively after study completion; no clinical decisions are based on voice analysis during the study. The primary endpoint is the sensitivity and specificity of the AI-based voice analysis in detecting PA pressure changes at defined thresholds.
Key Dates
- Start date
- Dec 12, 2024
- Status verified
- Feb 2026
- Primary completion
- May 31, 2026
- Completion
- Sep 30, 2026
Study Design
- Enrollment
- 60 participants (estimated)
Arms
- Arm: Groups and Interventions Use this module to add a description of each group or cohort in the study aHeart failure patients with implanted PA pressure sensors providing daily voice recordings via a mobile app for 12 weeks while continuing standard PA pressure monitoring and heart failure care. Voice data is analyzed retrospectively; no clinical decisions are based on voice analysis during the study.
Primary Outcome Measure
Sensitivity of AI Voice Analysis in Detecting PA Pressure Changes [ Time Frame: 12 weeks ]
Central Contacts
- Leonhard Riehle, MD+491715547970
Locations (1)
| Facility | City | State | ZIP | Site coordinators |
|---|---|---|---|---|
| University of California, San Francisco (UCSF) | San Francisco | California | 94143 |
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