Using the Hospital Frailty Risk Score to Predict In-Hospital Mortality Across All Ages
This study investigates the relationship between the Hospital Frailty Risk Score (HFRS) and in-hospital mortality in adult patients. A retrospective cohort analysis of patients aged 16 and older admitted to Queen Alexandra Hospital, Portsmouth (2010-2019), was conducted. HFRS was calculated for those with prior hospitalizations within two years. Logistic regression models (crude and adjusted) were developed for nine mortality prediction periods, comparing HFRS and the Charlson Comorbidity Index (CCI) using AUROC. The proportion of patients at intermediate or high frailty risk increased with longer prediction periods. HFRS models (AUROC: 0.782-0.829) outperformed CCI (AUROC: 0.690-0.708), with the combination of both yielding the highest predictive accuracy. These findings highlight HFRS as an effective predictor of in-hospital mortality across all adult age groups, particularly when combined with CCI.
Authors
- Claire Spice
- Huda Kutrani (ORCID: https://orcid.org/0000-0002-0576-876X)
- David Prytherch (ORCID: https://orcid.org/0000-0003-2621-6451)
- Jim Briggs (ORCID: https://orcid.org/0000-0003-1559-4879)
- Elisavet Andrikopoulou (ORCID: https://orcid.org/0000-0002-4614-2907)
Institutions
- Queen Alexandra Hospital (GB)
- Portsmouth Hospitals NHS Trust (GB)
- University of Portsmouth (GB)
Publication Details
- Journal
- Studies in health technology and informatics
- Published
- 2025-05-15
- DOI
- https://doi.org/10.3233/shti250400
- Citations
- 1
- Primary Topic
- Frailty in Older Adults
- Type
- article
- Field-Weighted Citation Impact
- 30.57