Literature DB >> 28558806

A critical age: can we reliably measure frailty in critical care?

Richard J Pugh1, Chris M Thorpe2, Christian P Subbe3,4.   

Abstract

Entities:  

Keywords:  Clinical Frailty Scale; Critical care; Critically ill; Frailty; Frailty assessment; Reliability

Mesh:

Year:  2017        PMID: 28558806      PMCID: PMC5450079          DOI: 10.1186/s13054-017-1704-3

Source DB:  PubMed          Journal:  Crit Care        ISSN: 1364-8535            Impact factor:   9.097


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As populations age, the proportion of older patients admitted to critical care units has risen in a number of nations [1]. Age remains an independent predictor of poorer short- and long- term outcomes following critical care admission [1], but the distinction between “physiological” and “chronological” age has long been apparent to critical care clinicians. For the critically ill, assessment of frailty (“a condition characterised by loss of biological reserve and vulnerability to poor resolution of homeostasis following a stressor event” [2]) offers the potential both to inform discussions when escalation of care is being considered, and to identify those who may need a higher level of support in their recovery from critical illness. Although several reports regarding the predictive validity of frailty assessment tools in the critically ill have been published recently [3], study of the reliability of such assessments is virtually absent from the critical care literature. We therefore undertook a prospective study of consecutive patients admitted to a single UK critical care unit. Frailty was assessed with regards to condition 2 weeks prior to hospital admission using the Clinical Frailty Scale (CFS) [4]. Assessments were performed independently by a medical student and a critical care doctor following interviews with the patient and/or family. Inter-rater reliability was assessed using linear-weighted kappa. Assessments of frailty were made for 30 patients (median age 70.5 years, 60% male, median Acute Physiology and Chronic Health Evaluation (APACHE) II score 16, median CFS 3 (interquartile range (IQR) 2–5). The frequency distribution of CFS scores is presented in Fig. 1. Linear weighted kappa was 0.64 (95% confidence intervals 0.40 to 0.87; p < 0.0001), suggesting a good level of agreement.
Fig. 1

Frequency distribution of Clinical Frailty Scale (CFS) scores. Frequency distribution of assessments of CFS (30 patients, each undergoing an assessment by Group 1 (Medical Students) and an assessment by Group 2 (Critical Care doctors))

Frequency distribution of Clinical Frailty Scale (CFS) scores. Frequency distribution of assessments of CFS (30 patients, each undergoing an assessment by Group 1 (Medical Students) and an assessment by Group 2 (Critical Care doctors)) The major limitations of our preliminary study are that the study population was small, it was single-centre, and that patients with higher CFS scores were relatively under-represented (in line with previous reports [3]). There are potential difficulties in assessing frailty in the context of acute illness [5]; however, in spite of a reliance on proxies (e.g. family members) to make the assessment we have found that with appropriate training the application of frailty assessment tools in the critically ill can be reliable. Given the potential utility of frailty assessment in clinical practice, administration and research, there is a need to evaluate the clinimetric properties of frailty assessment tools in the critically ill with larger, multi-centred studies.
  4 in total

1.  Association between frailty and short- and long-term outcomes among critically ill patients: a multicentre prospective cohort study.

Authors:  Sean M Bagshaw; H Thomas Stelfox; Robert C McDermid; Darryl B Rolfson; Ross T Tsuyuki; Nadia Baig; Barbara Artiuch; Quazi Ibrahim; Daniel E Stollery; Ella Rokosh; Sumit R Majumdar
Journal:  CMAJ       Date:  2013-11-25       Impact factor: 8.262

2.  A global clinical measure of fitness and frailty in elderly people.

Authors:  Kenneth Rockwood; Xiaowei Song; Chris MacKnight; Howard Bergman; David B Hogan; Ian McDowell; Arnold Mitnitski
Journal:  CMAJ       Date:  2005-08-30       Impact factor: 8.262

Review 3.  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

4.  Very old patients admitted to intensive care in Australia and New Zealand: a multi-centre cohort analysis.

Authors:  Sean M Bagshaw; Steve A R Webb; Anthony Delaney; Carol George; David Pilcher; Graeme K Hart; Rinaldo Bellomo
Journal:  Crit Care       Date:  2009-04-01       Impact factor: 9.097

  4 in total
  5 in total

1.  Frailty assessment in the ICU: translation to 'real-world' clinical practice.

Authors:  J R Falvey; L E Ferrante
Journal:  Anaesthesia       Date:  2019-03-11       Impact factor: 6.955

2.  Interrater Reliability of the Clinical Frailty Scale by Geriatrician and Intensivist in Patients Admitted to the Intensive Care Unit.

Authors:  Megan Surkan; Naheed Rajabali; Sean M Bagshaw; Xiaoming Wang; Darryl Rolfson
Journal:  Can Geriatr J       Date:  2020-09-01

3.  Sex-specific prevalence and outcomes of frailty in critically ill patients.

Authors:  Erin Hessey; Carmel Montgomery; Danny J Zuege; Darryl Rolfson; Henry T Stelfox; Kirsten M Fiest; Sean M Bagshaw
Journal:  J Intensive Care       Date:  2020-09-29

4.  Metabolomics Coupled with Transcriptomics Approach Deciphering Age Relevance in Sepsis.

Authors:  Dingqiao Xu; Shanting Liao; Pei Li; Qian Zhang; Yan Lv; Xiaowei Fu; Minghua Yang; Junsong Wang; Lingyi Kong
Journal:  Aging Dis       Date:  2019-08-01       Impact factor: 6.745

5.  Utility and reliability of the Clinical Frailty Scale in patients scheduled for major vascular surgery: a prospective, observational, multicentre observer-blinded study.

Authors:  Reema Ayyash; Joanne Knight; Elke Kothmann; Mohamed Eid; Katie Ayyash; Kerry Colling; David Yates; Aileen Mill; Gerard Danjoux
Journal:  Perioper Med (Lond)       Date:  2022-01-31
  5 in total

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