Using Daily Voice Recordings to Detect Lung Artery Pressure Changes in Heart Failure
Tests whether voice recordings can reveal pressure changes in adults with heart failure.
Plain-language title generated from the registry record
Registry title: Voice Analysis to Detect Pulmonary Arterial Pressure Changes in Heart Failure
Key facts
- Where
- Berlin and Frankfurt, GermanySee the 2 sites
Where in Germany
- BG Klinikum Unfallkrankenhaus Berlin, Dept. of CardiologyBerlin, GermanyNo longer taking part
- University Hospital Frankfurt, Dept. of Cardiology and AngiologyFrankfurt, GermanyNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Noah Labs
- Trial code
- NCT07443670
- Record updated
- 2 March 2026
- Original description
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.Read full original descriptionShow less
Voice Analysis Using Artificial Intelligence to Detect Changes in Pulmonary Arterial Pressure in Patients With Heart Failure and an Implanted Pressure Sensor
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.
Inclusion: Age 18 years or older; Successful implantation of a PA pressure sensor and monitored by a participating study center; Willingness to record a short predefined text daily for 3 months using a smartphone or tablet; Ability to comfortably read aloud the study passage in English or German; Written informed consent obtained.
Exclusion: Pathological voice changes due to surgery or injury; COPD requiring home oxygen therapy; Condition that in the opinion of the investigator would compromise patient safety or data quality; Planned invasive cardiac procedures during the study period; Chronic kidney disease requiring dialysis; Pregnant, breastfeeding, or unwilling to practice birth control during participation; Cognitive dysfunction limiting ability to perform daily voice recording; Inability to read English or German; Physical inability to use the recording device.