Year: 2026
Type: article
Abstract: Screening of heart failure (HF) remains suboptimal. However, vocal biomarkers are an emerging tool to screen for HF and predict adverse outcomes. This article is a literature review of the current evidence, exploring the use of vocal biomarkers to screen for HF and predict hospitalisation and mortality. Voice may be utilised as a time-efficient method for the screening of HF, risk stratification, and monitoring of disease progression. Vocal biomarkers such as pause ratio and artificial neural networks can screen for HF accurately in a case-control setting. Other vocal markers like maximum phonation time, creak percent are useful to monitor disease progression. Vocal biomarkers appear to match current predictors of one-year mortality, HF related decompensation and hospitalisation. The integration of vocal biomarkers assessment in HF healthcare is promising across primary and secondary care settings. Key challenges including health data protection, regulatory compliance, and user acceptance must be addressed before these tools can be fully integrated into HF clinical care pathway.
Source: Heart Failure Reviews
Authors: Amy S. Fuller, Nduka C Okwose, Sarah J. Charman, Alban E. Voppel, Renae J. Stefanetti, Amy Groenewegen, Annamaria Del Franco, Maria Tafelmeier, Andrej Preveden, Aleksandra Milovancev, Duncan Edwards, Anne P. Nelissen, Fausto Barlocco, Alessandra Fornaro, Jose Luis Zamorano, Massimo Milli, Laura Sasso, Giulia Taborchi, Simone Bartolini, Serena Fatucchi, Prithwish Banerjee, Guy A. MacGowan, Oscar Fernandez, Marta Jimenez-Blanco Bravo, Lars S. Maier, Iacopo Olivotto, Frans H. Rutten, Jonathan Mant, Lazar Velicki, Petar M. Seferovic, Nenad Filipovic, Djordje G. Jakovljevic
Institutions: University Hospitals Coventry and Warwickshire NHS Trust, Coventry University, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle University, Douglas Mental Health University Institute, McGill University, National Institute for Health and Care Research, NIHR Newcastle Biomedical Research Centre, Utrecht University, University Medical Center Utrecht, Azienda Ospedaliero-Universitaria Careggi, University of Florence, University Hospital Regensburg, University of Regensburg, University of Novi Sad, Institute for Cardiovascular Diseases of Vojvodina, University of Cambridge, Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red, Hospital Universitario Ramón y Cajal, Santa Maria Nuova Hospital, Azienda Usl Toscana Centro, Serbian Academy of Sciences and Arts, University of Belgrade, University of Kragujevac
Language: English
Topic: Voice and Speech Disorders
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,090
OpenAlex ID: W7154598528