Literature DB >> 36210379

Development of a Frailty Index in the Irish Hip Fracture Database.

Mary Walsh1, Helena Ferris2, Louise Brent3, Emer Ahern4, Tara Coughlan5, Roman Romero-Ortuno6.   

Abstract

INTRODUCTION: In older people, hip fracture can lead to adverse outcomes. Frailty, capturing biological age and vulnerability to stressors, can indicate those at higher risk. We derived a frailty index (FI) in the Irish Hip Fracture Database (IHFD) and explored associations with prolonged length of hospital stay (LOS ≥ 30 days), delirium, inpatient mortality and new nursing home admission. We assessed whether the FI predicted those outcomes independently of age, sex and pre-operative American Society of Anaesthesiology (ASA) score.
MATERIALS AND METHODS: A 21-item FI was constructed with 17 dichotomous co-morbidities, three 4-level ordinal pre-morbid functional variables (difficulty with indoor mobility, outdoor mobility, and shopping) and nursing home provenance (yes/no). The FI was computed as the proportion of items present and divided into tertiles (low, medium, high risk). Independent associations between FI and outcomes were explored with logistic regression, from which we extracted adjusted Odds Ratios (aOR) and Areas Under the Curve (AUC).
RESULTS: From 2017 to 2020, the IHFD included 14,615 hip fracture admissions, mean (SD) age 80.4 (8.8), 68.9% women. Complete FI data were available for 12,502 (85.5%). By FI tertile (low to high risk), prolonged LOS proportions were 5.9%, 16.1% and 23.1%; delirium 5.5%, 13.5% and 17.6%; inpatient mortality 0.6%, 3.3% and 10.1%; and new nursing home admission 2.2%, 5.9% and 11.3%. All associations were statistically significant (p < 0.001) independently of age and sex. AUC analyses showed that the FI score, added to age, sex, and ASA score, significantly improved the prediction of delirium and new nursing home admission (p < 0.05), and especially prolonged LOS and inpatient mortality (p < 0.001).
CONCLUSIONS: A 21-item FI in the IHFD was a significant predictor of outcomes and added value to traditional risk markers. The utility of a routinely derived FI to more effectively direct limited orthogeriatric resources requires prospective investigation.
© 2022. The Author(s).

Entities:  

Keywords:  Frailty; Frailty Index; Hip fracture; Irish Hip Fracture Database; National clinical audit

Year:  2022        PMID: 36210379     DOI: 10.1007/s00402-022-04644-6

Source DB:  PubMed          Journal:  Arch Orthop Trauma Surg        ISSN: 0936-8051            Impact factor:   2.928


  45 in total

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2.  Frailty: different tools for different purposes?

Authors:  Finbarr C Martin; Philip Brighton
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3.  The frailty phenotype and the frailty index: different instruments for different purposes.

Authors:  Matteo Cesari; Giovanni Gambassi; Gabor Abellan van Kan; Bruno Vellas
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4.  Unstable disability and the fluctuations of frailty.

Authors:  A J Campbell; D M Buchner
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Review 5.  Frailty in elderly people.

Authors:  Andrew Clegg; John Young; Steve Iliffe; Marcel Olde Rikkert; Kenneth Rockwood
Journal:  Lancet       Date:  2013-02-08       Impact factor: 79.321

6.  Frailty, fitness and late-life mortality in relation to chronological and biological age.

Authors:  Arnold B Mitnitski; Janice E Graham; Alexander J Mogilner; Kenneth Rockwood
Journal:  BMC Geriatr       Date:  2002-02-27       Impact factor: 3.921

7.  Dementia and delirium, the outcomes in elderly hip fracture patients.

Authors:  Christina A Mosk; Marnix Mus; Jos Pam Vroemen; Tjeerd van der Ploeg; Dagmar I Vos; Leon Hgj Elmans; Lijckle van der Laan
Journal:  Clin Interv Aging       Date:  2017-03-10       Impact factor: 4.458

8.  Frailty and Short-Term Outcomes in Patients With Hip Fracture.

Authors:  Elizabeth A Kistler; Joseph A Nicholas; Stephen L Kates; Susan M Friedman
Journal:  Geriatr Orthop Surg Rehabil       Date:  2015-09

9.  Frailty is Associated with an Increased Risk of Major Adverse Outcomes in Elderly Patients Following Surgical Treatment of Hip Fracture.

Authors:  Chiu-Liang Chen; Chun-Min Chen; Chun-Yi Wang; Po-Wei Ko; Chung-Hwan Chen; Chen-Pu Hsieh; Herng-Chia Chiu
Journal:  Sci Rep       Date:  2019-12-13       Impact factor: 4.379

10.  Disparities in the pace of biological aging among midlife adults of the same chronological age have implications for future frailty risk and policy.

Authors:  Maxwell L Elliott; Avshalom Caspi; Renate M Houts; Antony Ambler; Jonathan M Broadbent; Robert J Hancox; HonaLee Harrington; Sean Hogan; Ross Keenan; Annchen Knodt; Joan H Leung; Tracy R Melzer; Suzanne C Purdy; Sandhya Ramrakha; Leah S Richmond-Rakerd; Antoinette Righarts; Karen Sugden; W Murray Thomson; Peter R Thorne; Benjamin S Williams; Graham Wilson; Ahmad R Hariri; Richie Poulton; Terrie E Moffitt
Journal:  Nat Aging       Date:  2021-03-15
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