U.S., March 3 -- ClinicalTrials.gov registry received information related to the study (NCT07443969) titled 'Pre-Symptomatic Detection of Impending Decompensation in Heart Failure Through Voice Data' on Jan. 25, 2024.
Brief Summary: PRE-DETECT-HF is a prospective, single-arm observational study evaluating a voice-based machine learning algorithm for early detection of heart failure decompensation. 123 patients hospitalized for acute decompensated or de-novo heart failure will be enrolled across three sites in the Netherlands and Spain.
Patients make daily voice recordings via a smartphone app and answer symptom questions for 6 months. The algorithm analyzes voice patterns compared to a baseline recording at discharge. Treatment decisions ...