ArticleJournal of frailty, sarcopenia and falls2024
Modified Hospital Frailty Risk Score (mHFRS) as a Tool to Identify and Predict Outcomes for Hospitalised Older Adults at Risk of Frailty.
Article in Journal of frailty, sarcopenia and falls, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Perceptions of frailty pathway implementation in an acute setting among healthcare professionals: a qualitative study using the CFIR 2.0.BMC geriatrics · 2026Article
- Frailty in acute coronary syndrome: From risk stratification to clinical decision-making.World journal of cardiology · 2026Review
- Bio-Inspired Artificial Intelligence Multimorbidity Score for Human-Machine Clinical Risk Stratification.Cyborg and bionic systems (Washington, D.C.) · 2026Article
- Association between hospital frailty risk score, risk of sepsis and adverse outcomes across all adult ages.PloS one · 2026Article
- Article
- Real-World Effectiveness of Boosting Against Omicron Hospitalization in Older Adults, Stratified by Frailty.Vaccines · 2025Article
- Prognostic Value of Frailty in Patients With Takotsubo Cardiomyopathy.Clinical cardiology · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: This study aims to determine whether modified Hospital Frailty Risk Score (mHFRS) can identify frail hospitalised older adults by comparing mHFRS to HFRS and Clinical Frailty Scale (CFS). Methods: A retrospective review was undertaken in patients =>65 years hospitalised following an Emergency Department attendance between 1 Results: Of 3042 patients, CFS categorised 1635 (53.7%) patients as non-frail (CFS 1-4) and 1407 (46.3%) as frail (CFS 5-9,p<0.001). Frail patients were more likely to be female (55.9%), older (81.8 years, SD 8.41 vs 75.3 years, SD 7.20, p<0.001), with longer LOS (52.5% % vs 31.5%, p<0.001), higher 30-day emergency re-admission (18.5% vs 9.9%, p<0.001) and higher mortality at all time points. We could compute mHFRS for 1623 (53.4%) patients, of whom, 37.5% were low risk, 40.5% intermediate risk and 22.1% high frailty risk. mHFRS showed significant correlation with CFS (p<0.001) and HFRS (p<0.001), respectively and achieved comparable association with clinical outcomes. Conclusion: mHFRS was better at identifying non-frail patients and provides a novel, standardised and comparable frailty risk stratification tool for screening older hospitalised patients.
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