Condition: Heart Failure · Sponsor: Noah Labs
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.
This description comes directly from the study's public registry record.
Leonhard Riehle, MD · +491715547970 · leonhard.riehle@noah-labs.com
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| University of California, San Francisco (UCSF) | San Francisco, California, United States | Recruiting |
| BG Klinikum Unfallkrankenhaus Berlin, Dept. of Cardiology | Berlin, State of Berlin, Germany | Completed |
| University Hospital Frankfurt, Dept. of Cardiology and Angiology | Frankfurt, Germany | Completed |
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Source record: clinicaltrials.gov/study/NCT07443670