Key result
Automated speech analysis distinguishes wet from dry states in 94% of ADHF patients.
Why the study?
Frequent monitoring is recommended for pulmonary edema in heart failure, but signs of decompensation are often missed.
Does automated speech analysis detect changes in fluid status in adult patients hospitalized with acute decompensated heart failure?
Observational (n=40)
Does automated speech analysis detect changes in fluid status in adult patients hospitalized with acute decompensated heart failure?
Automated speech analysis can successfully identify voice alterations reflecting fluid status changes in patients hospitalized with acute decompensated heart failure, offering a potential tool for remote monitoring.
No takes yet. Share an insight, caveat, or question.
May support remote fluid monitoring in ADHF; hypothesis-generating and leaves open need for prospective validation.
Amir et al. (2021) conducted an observational in Acute decompensated heart failure (ADHF) (n=40). HearO automated speech analysis application vs. Baseline (admission/wet status) was evaluated on Successful tagging of discharge recordings as distinctly different from baseline (wet). Automated speech analysis using the HearO app successfully differentiated discharge (dry) from admission (wet) recordings in 94% of patients with acute decompensated heart failure.
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