Voice Analysis to Detect Pulmonary Arterial Pressure Changes in Heart Failure (NCT07443670) | Clinical Trial Compass
RecruitingNot Applicable
Voice Analysis to Detect Pulmonary Arterial Pressure Changes in Heart Failure
United States, Germany60 participantsStarted 2024-12-12
Plain-language summary
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.
Who can participate
Age range
18 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Inclusion Criteria:
* 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 Criteria:
* Pregnant, breastfeeding, or unwilling to practice birth control during participation
* Condition that in the opinion of the investigator would compromise patient safety or data quality
* Pathological voice changes due to surgery or injury
* Planned invasive cardiac procedures during the study period
* COPD requiring home oxygen therapy
* Chronic kidney disease requiring dialysis
* Cognitive dysfunction limiting ability to perform daily voice recording
* Inability to read English or German
* Physical inability to use the recording device
Questions worth asking your doctor
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
1Based on my diagnosis and history, is this trial worth exploring for me — or is there a standard treatment we should try first?
2What does this trial's phase tell us about how much is already known about its safety and benefit?
3What would taking part actually involve for me — visits, tests, time, and travel?
4What are the known and possible risks or side effects I should weigh, and how would they be monitored?
5If this trial isn't the right fit, what other options or trials would you suggest I look into?
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
Questions for the trial coordinator
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
1What does taking part actually involve week to week — how many visits, where, and how long does each one take?
2What costs are covered by the study, and what might I have to pay for myself, including travel, parking, or time off work?
3What happens during screening, and what happens if the study team confirms I don't meet the criteria after those tests?
4Who pays for the scans, blood work, and other tests the trial requires — the study, my insurance, or me?
5How will being in the trial affect my regular care, and will my own doctor stay informed and involved?
6Can I leave the trial at any point if I change my mind, and what would happen to my care if I do?
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
What they're measuring
1
Sensitivity of AI Voice Analysis in Detecting PA Pressure Changes