Literature DB >> 31096100

Contributors to frailty in critical illness: Multi-dimensional analysis of the Clinical Frailty Scale.

Jai N Darvall1, Kate Greentree2, Ms Sabine Braat3, David A Story4, Wen K Lim5.   

Abstract

PURPOSE: Frailty in critical illness is common and associated with poor outcomes, however little is known about contributing factors. We compared the Clinical Frailty Scale (CFS) with a multi-dimensional validated tool, the Edmonton Frail Scale (EFS), and investigated which health domains are affected by frailty in ICU.
MATERIALS AND METHODS: This prospective cohort study enrolled patients aged ≥50 years admitted between February-June 2017, comparing the CFS and EFS using Spearman correlation and Kappa coefficients, assessing frailty status across health domains, and examining outcomes including mortality.
RESULTS: One hundred and sixty patients were enrolled, 33.8% were frail. Frail patients had greater in-hospital and 6-month mortality [25.9% vs. 8.5%; adjusted OR (95% CI) = 3.31 (1.17, 9.39), p = .024; and 40.4% vs. 17.3%; OR (95% CI) = 2.84 (1.18, 6.83), p = .020 respectively]. CFS and EFS scales were highly correlated [Spearman correlation coefficient = 0.85 (95% CI 0.81-0.88)], with high agreement [kappa coefficient = 0.78 (95% CI: 0.68-0.88)]. Frail patients had worse health status across the spectrum of frailty domains, in particular functional dependence, malnutrition, and prior hospital admissions.
CONCLUSIONS: Frailty in the critically ill affects a range of health deficits, adequately measured via the CFS.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Critical care; Frailty; Risk assessment

Year:  2019        PMID: 31096100     DOI: 10.1016/j.jcrc.2019.04.032

Source DB:  PubMed          Journal:  J Crit Care        ISSN: 0883-9441            Impact factor:   3.425


  5 in total

1.  Comparing the Clinical Frailty Scale and an International Classification of Diseases-10 Modified Frailty Index in Predicting Long-Term Survival in Critically Ill Patients.

Authors:  Ashwin Subramaniam; Ryo Ueno; Ravindranath Tiruvoipati; Jai Darvall; Velandai Srikanth; Michael Bailey; David Pilcher; Rinaldo Bellomo
Journal:  Crit Care Explor       Date:  2022-10-13

2.  Comparison of the predictive ability of clinical frailty scale and hospital frailty risk score to determine long-term survival in critically ill patients: a multicentre retrospective cohort study.

Authors:  Ashwin Subramaniam; Ryo Ueno; Ravindranath Tiruvoipati; Velandai Srikanth; Michael Bailey; David Pilcher
Journal:  Crit Care       Date:  2022-05-03       Impact factor: 19.334

3.  The Clinical Frailty Scale (CFS) employment in the frailty assessment of patients suffering from Non-Communicable Diseases (NCDs): A systematic review.

Authors:  Nicolò Granata; Martina Vigoré; Andrea Steccanella; Luca Ranucci; Simona Sarzi Braga; Paola Baiardi; Antonia Pierobon
Journal:  Front Med (Lausanne)       Date:  2022-08-16

4.  Impact of frailty on clinical outcomes in patients with and without COVID-19 pneumonitis admitted to intensive care units in Australia and New Zealand: a retrospective registry data analysis.

Authors:  Ashwin Subramaniam; Kiran Shekar; Christopher Anstey; Ravindranath Tiruvoipati; David Pilcher
Journal:  Crit Care       Date:  2022-10-03       Impact factor: 19.334

5.  Validation of the revised 9-scale clinical frailty scale (CFS) in Greek language.

Authors:  Ioannis Vrettos; Panagiota Voukelatou; Stefani Panayiotou; Andreas Kyvetos; Andreas Kalliakmanis; Konstantinos Makrilakis; Petros P Sfikakis; Dimitris Niakas
Journal:  BMC Geriatr       Date:  2021-06-29       Impact factor: 3.921

  5 in total

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