Literature DB >> 29153536

Frailty in Hospitalized Older Adults: Comparing Different Frailty Measures in Predicting Short- and Long-term Patient Outcomes.

Edward Chong1, Esther Ho2, Jewel Baldevarona-Llego2, Mark Chan2, Lynn Wu2, Laura Tay3, Yew Yoong Ding2, Wee Shiong Lim2.   

Abstract

OBJECTIVES: Data for the assessment of frailty in acutely ill hospitalized older adults remains limited. Using the Frailty Index (FI) as "gold standard," we compared (1) the diagnostic performance of 3 frailty measures (FRAIL, Clinical Frailty Scale [CFS], and Tilburg Frailty Indicator [TFI]) in identifying frailty, and (2) their ability to predict negative outcomes at 12 months after enrollment.
DESIGN: Prospective cohort study. PARTICIPANTS: We recruited 210 patients (mean age 89.4 ± 4.6 years, 69.5% female), admitted to the Department of Geriatric Medicine in a 1300-bed tertiary hospital. MEASUREMENTS: Premorbid frailty status was determined. Data on comorbidities, severity of illness, functional status, and cognitive status were gathered. We compared area under receiver operator characteristic curves (AUC) for each frailty measure against the reference FI. Multiple logistic regression was used to examine the independent association between frailty and the outcomes of interest.
RESULTS: Frailty prevalence estimates were 87.1% (FI), 81.0% (CFS), 80.0% (TFI), and 50.0% (FRAIL). AUC against FI ranged from 0.81 (95% confidence interval [CI] 0.72-0.90: FRAIL) to 0.91 (95% CI 0.87-0.95: CFS). Only FRAIL was associated with higher in-hospital mortality (6.7% vs 1.0%, P = .031). FRAIL and CFS were significantly associated with increased length of hospitalization (10 [6.0-17.5] vs 8 [5.0-14.0] days, P = .043 and 9 [5.0-17.0] vs 7 [4.25-11.75] days, P = .036, respectively). CFS and FI were highly associated with mortality at 12-month (CFS, frail vs nonfrail: 32.9% vs 2.5%, P < .001, and FI, frail vs nonfrail: 30.6% vs 3.7%, P < .001). CFS also conferred the greatest risk of 12-month mortality (odds ratio [OR] 5.78, 95% CI 3.19-10.48, P < .001) and composite outcomes of institutionalization and/or mortality (OR 3.69, 95% CI 2.31-5.88, P < .001), adjusted for age, sex, and severity of illness.
CONCLUSION: Our study affirms the utility of frailty assessment tools among older persons in acute care. FRAIL conferred highest risk of in-hospital mortality. However, CFS had greatest risk of mortality and institutionalization within 12 months.
Copyright © 2017 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Frailty; acute; geriatric; inpatient; risk

Mesh:

Year:  2017        PMID: 29153536     DOI: 10.1016/j.jamda.2017.10.006

Source DB:  PubMed          Journal:  J Am Med Dir Assoc        ISSN: 1525-8610            Impact factor:   4.669


  19 in total

1.  Frailty as a Prognostic Indicator in Intensive Care.

Authors:  Christian Jung; Raphael Romano Bruno; Bernhard Wernly; Georg Wolff; Michael Beil; Malte Kelm
Journal:  Dtsch Arztebl Int       Date:  2020-10-02       Impact factor: 5.594

2.  Older women are frailer, but less often die then men: a prospective study of older hospitalized people.

Authors:  Nicola Veronese; Giacomo Siri; Alberto Cella; Julia Daragjati; Alfonso J Cruz-Jentoft; Maria Cristina Polidori; Francesco Mattace-Raso; Marc Paccalin; Eva Topinkova; Antonio Greco; Arduino A Mangoni; Stefania Maggi; Luigi Ferrucci; Alberto Pilotto
Journal:  Maturitas       Date:  2019-08-03       Impact factor: 4.342

3.  Comparing Diagnostic Properties of the FRAIL-NH Scale and 4 Frailty Screening Instruments among Chinese Institutionalized Older Adults.

Authors:  H Si; Y Jin; X Qiao; X Tian; X Liu; C Wang
Journal:  J Nutr Health Aging       Date:  2020       Impact factor: 4.075

4.  Efficiently stratifying mid-term death risk in femoral fractures in the elderly: introducing the ASAgeCoGeCC Score.

Authors:  C Trevisan; G Gallinari; A Carbone; R Klumpp
Journal:  Osteoporos Int       Date:  2021-04-03       Impact factor: 4.507

5.  Comparison of Creatinine and Cystatin C to Estimate Renal Function in Geriatric and Frail Patients.

Authors:  Erik Dahlén; Linda Björkhem-Bergman
Journal:  Life (Basel)       Date:  2022-06-07

6.  Frailty in Portuguese Older Patients From Convalescence Units: A Cross-Sectional Study.

Authors:  Mario Pinto; Sonia Martins; Edgar Mesquita; Lia Fernandes
Journal:  J Clin Med Res       Date:  2022-09-29

Review 7.  Interventions for Frailty Among Older Adults With Cardiovascular Disease: JACC State-of-the-Art Review.

Authors:  Naila Ijaz; Brian Buta; Qian-Li Xue; Denise T Mohess; Archana Bushan; Henry Tran; Wayne Batchelor; Christopher R deFilippi; Jeremy D Walston; Karen Bandeen-Roche; Daniel E Forman; Jon R Resar; Christopher M O'Connor; Gary Gerstenblith; Abdulla A Damluji
Journal:  J Am Coll Cardiol       Date:  2022-02-08       Impact factor: 24.094

8.  Accuracy, feasibility and predictive ability of different frailty instruments in an acute geriatric setting.

Authors:  Rafael Bielza; Cristina Balaguer; Francisco Zambrana; Estefanía Arias; Israel J Thuissard; Ana Lung; Carlos Oñoro; Patricia Pérez; Cristina Andreu-Vázquez; Marta Neira; Noemi Anguita; Carmen Sáez; Eva María Fernández de la Puente
Journal:  Eur Geriatr Med       Date:  2022-04-23       Impact factor: 3.269

9.  Accounting for frailty and multimorbidity when interpreting high-sensitivity troponin I tests in oldest old.

Authors:  Andrea Ticinesi; Antonio Nouvenne; Nicoletta Cerundolo; Beatrice Prati; Alberto Parise; Claudio Tana; Martina Rendo; Angela Guerra; Tiziana Meschi
Journal:  J Am Geriatr Soc       Date:  2021-11-18       Impact factor: 7.538

10.  Impact of frailty on do-not-resuscitate orders and healthcare transitions among elderly Koreans with pneumonia.

Authors:  Jung-Yeon Choi; Sun-Wook Kim; Sol-Ji Yoon; Min-Gu Kang; Kwang-Il Kim; Cheol-Ho Kim
Journal:  Clin Interv Aging       Date:  2018-11-01       Impact factor: 4.458

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