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.

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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
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article

Using the Hospital Frailty Risk Score to Predict In-Hospital Mortality Across All Ages

Claire Spice, Huda Kutrani, David Prytherch, Jim Briggs et al.
1 citations
Studies in health technology and informatics
Frailty in Older Adults
30.57
article

Using the Hospital Frailty Risk Score to Predict In-Hospital Mortality Across All Ages

Claire Spice, Huda Kutrani, David Prytherch, Jim Briggs, Elisavet Andrikopoulou
article en
1 citations

Abstract

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.

Studies in health technology and informaticsVol. 327
Queen Alexandra Hospital (GB), Portsmouth Hospitals NHS Trust (GB), University of Portsmouth (GB)
Openalex Percentile: Top 1%
Frailty in Older Adults
30.57
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Using the Hospital Frailty Risk Score to Predict In-Hospital Mortality Across All Ages — Claire Spice, Huda Kutrani, et al. · Studies in health technology and informatics (2025) | TGRS Research Map | TGRS