Voice analysis with an app that uses artificial intelligence may provide early warning of acute decompensated heart failure (HF).
The proprietary HearO system and app (Cordio Medical) showed a sensitivity of about 70% for predicting impending acute decompensation about 3 weeks before it occurred in high-risk outpatients with HF in the HearO Community Study.
William T. Abraham, MD, Ohio State University Wexner Medical Center, Columbus, Ohio, reported the findings in a press briefing and a late-breaking trial session on November 13 at the American Heart Association (AHA) 2023 Scientific Sessions.
They show that "novel speech analysis technology may be useful in remote monitoring of HF patients, providing early warning of worsening HF events including impending decompensation," Abraham said. "This approach has the potential to reduce acute decompensated HF hospitalizations and improve patient quality of life and economic outcomes."
The assigned discussant for the trial, David T. Ouyang, MD, the Department of Cardiology and Division of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los Angeles, said he is "cautiously optimistic," but notes that "it is still quite early" research.
This trial was a multicenter, noninterventional, single-arm, unblinded study that enrolled 263 outpatients with HF into a "development" group, used to refine the development of an algorithm that predicts imminent worsening HF, and 153 similar patients in a "test" group that would validate the algorithm at six sites in Israel.
