Mortality prediction among older people in primary care: a comparison of predictive performance of the frailty index with regression-based and machine learning models
Regression-based and machine learning prediction models using single frailty deficits outperform the frailty index in predicting one- and five-year mortality. However, these models can be more complex and less interpretable. We found lower performance for people with dementia, suggesting the models are less applicable in this subpopulation.
Authors
- Iris van der Heide (ORCID: https://orcid.org/0000-0002-9709-7261)
- Karlijn J. Joling (ORCID: https://orcid.org/0000-0001-5301-6370)
- Hein PJ Van Hout
- Emiel O. Hoogendijk (ORCID: https://orcid.org/0000-0001-9660-5108)
- Robert Verheij (ORCID: https://orcid.org/0000-0003-2234-4819)
- Collin Jc Exmann (ORCID: https://orcid.org/0009-0002-1007-7282)
Institutions
- Tilburg University (NL)
- National Health Care Institute (NL)
- Netherlands Institute for Health Services Research (NL)
- Vrije Universiteit Amsterdam (NL)
- University of Amsterdam (NL)
Publication Details
- Journal
- Archives of Gerontology and Geriatrics
- Published
- 2025-11-24
- DOI
- https://doi.org/10.1016/j.archger.2025.106096
- Citations
- 1
- Primary Topic
- Frailty in Older Adults
- Type
- article
- Field-Weighted Citation Impact
- 1.22
Funders
- European Commission