Predicting Acute Decompensated Heart Failure Using Circadian Markers From Heart Rate Time Series
Circadian metrics from a wrist-worn device showed progressive alterations over the 3 weeks preceding ADHF, offering potential early detection of HF decompensation with moderate prediction performance. Future research should refine these metrics and results in larger, diverse populations, using various sensor types and explore early interventions.
Authors
- Hareld Kemps (ORCID: https://orcid.org/0000-0003-0272-4355)
- Mayke van Leunen (ORCID: https://orcid.org/0000-0002-5048-3747)
- Monica Betta (ORCID: https://orcid.org/0000-0002-5672-1638)
- Cindy Verstappen
- Yuan Lü (ORCID: https://orcid.org/0000-0003-2480-2051)
- Ruud F. Spee (ORCID: https://orcid.org/0000-0003-2885-8538)
- René A. Tio (ORCID: https://orcid.org/0000-0003-1164-5827)
- Giacomo Handjaras (ORCID: https://orcid.org/0000-0001-5677-8434)
- I L J De Lathauwer (ORCID: https://orcid.org/0009-0008-6639-9428)
- Valerie A. A. van Es (ORCID: https://orcid.org/0000-0002-4946-6288)
Institutions
- IMT School for Advanced Studies Lucca (IT)
- Radboud University Nijmegen (NL)
- Catharina Ziekenhuis (NL)
- Máxima Medisch Centrum (NL)
- Eindhoven University of Technology (NL)
Publication Details
- Journal
- ESC Heart Failure
- Published
- 2025-08-28
- DOI
- https://doi.org/10.1002/ehf2.15395
- Citations
- 3
- Primary Topic
- Heart Rate Variability and Autonomic Control
- Type
- article
- Field-Weighted Citation Impact
- 4.16
Funders
- Philips