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 — OTHER
    Patients 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 a
    Heart 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

Locations (1)

FacilityCityStateZIPSite coordinators
University of California, San Francisco (UCSF)San FranciscoCalifornia94143
Shweta Motiwala, MD
(415) 502-4243

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