Literature DB >> 32489408

The FRAIL-FIT study: Frailty's relationship with adverse-event incidence in the longer term, at one year following intensive care unit treatment - A retrospective observational cohort study.

David Hewitt1, Malcolm G Booth2.   

Abstract

INTRODUCTION: Frailty is a syndrome of decreased reserve and heightened vulnerability. Frailty scoring has potential to facilitate more informed decisions in the intensive care unit. To validate this, its relationship with outcomes must be tested extensively. This study aimed to investigate frailty's impact on adverse outcomes after intensive care unit admission, primarily one-year mortality.
METHODS: This single-centre retrospective observational cohort study examined prospectively collected data from 400 intensive care unit patients. Frailty was assessed using the Clinical Frailty Scale and defined as Clinical Frailty Scale ≥ 5. Unadjusted and adjusted analyses tested the relationships of frailty, covariates and outcomes.
RESULTS: Of 400 eligible patients, 111 (27.8%) were frail and 289 (72.3%) were non-frail. Compared to non-frail patients, frail patients were older (62 vs. 56, p < 0.001) and had higher Acute Physiology and Chronic Health Evaluation II scores (22 vs. 19, p < 0.001). Females were more likely to be frail than males (34.1% vs. 22.9% frail, p = 0.018). Frail patients were less likely to survive the intensive care unit (p = 0.03), hospital (p = 0.003) or to one year (p < 0.001). Frailty significantly increased one-year mortality hazards in unadjusted analyses (hazard ratio 1.96; 95% confidence interval 1.41-2.72; p < 0.001) and covariate adjusted analyses (hazard ratio 1.41; 95% confidence interval 1.00-1.98; p = 0.0497). Frail patients had more hospital admissions (p = 0.014) and longer hospital stays within both one year before (p = 0.002) and one year after intensive care unit admission (p = 0.012).
CONCLUSIONS: Frailty was common and associated with greater age, female gender, higher sickness severity and more healthcare use. Frailty was significantly associated with greater risks of mortality in both unadjusted and adjusted analyses. Frailty scoring is a promising tool which could improve decision making in intensive care. © The Intensive Care Society 2019.

Entities:  

Keywords:  Clinical Frailty Scale; frail; intensive care unit; mortality

Year:  2019        PMID: 32489408      PMCID: PMC7238472          DOI: 10.1177/1751143719838212

Source DB:  PubMed          Journal:  J Intensive Care Soc        ISSN: 1751-1437


  22 in total

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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.  APACHE II: a severity of disease classification system.

Authors:  W A Knaus; E A Draper; D P Wagner; J E Zimmerman
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3.  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
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4.  The feasibility of measuring frailty to predict disability and mortality in older medical intensive care unit survivors.

Authors:  Matthew R Baldwin; M Cary Reid; Amanda A Westlake; John W Rowe; Evelyn C Granieri; Hannah Wunsch; Thuy-Tien Dam; Daniel Rabinowitz; Nathan E Goldstein; Mathew S Maurer; David J Lederer
Journal:  J Crit Care       Date:  2014-01-06       Impact factor: 3.425

5.  Recovery after critical illness in patients aged 80 years or older: a multi-center prospective observational cohort study.

Authors:  Daren K Heyland; Allan Garland; Sean M Bagshaw; Deborah Cook; Kenneth Rockwood; Henry T Stelfox; Peter Dodek; Robert A Fowler; Alexis F Turgeon; Karen Burns; John Muscedere; Jim Kutsogiannis; Martin Albert; Sangeeta Mehta; Xuran Jiang; Andrew G Day
Journal:  Intensive Care Med       Date:  2015-08-26       Impact factor: 17.440

Review 6.  Frailty in the critically ill: a novel concept.

Authors:  Robert C McDermid; Henry T Stelfox; Sean M Bagshaw
Journal:  Crit Care       Date:  2011-02-04       Impact factor: 9.097

7.  Prevalence of frailty in Canadians 18-79 years old in the Canadian Health Measures Survey.

Authors:  Dustin Scott Kehler; Thomas Ferguson; Andrew N Stammers; Clara Bohm; Rakesh C Arora; Todd A Duhamel; Navdeep Tangri
Journal:  BMC Geriatr       Date:  2017-01-21       Impact factor: 3.921

8.  A prospective multicenter cohort study of frailty in younger critically ill patients.

Authors:  M Bagshaw; Sumit R Majumdar; Darryl B Rolfson; Quazi Ibrahim; Robert C McDermid; H Tom Stelfox
Journal:  Crit Care       Date:  2016-06-06       Impact factor: 9.097

9.  Mortality in Relation to Frailty in Patients Admitted to a Specialized Geriatric Intensive Care Unit.

Authors:  An Zeng; Xiaowei Song; Jiahui Dong; Arnold Mitnitski; Jian Liu; Zhenhui Guo; Kenneth Rockwood
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2015-09-22       Impact factor: 6.053

10.  Accumulation of deficits as a proxy measure of aging.

Authors:  A B Mitnitski; A J Mogilner; K Rockwood
Journal:  ScientificWorldJournal       Date:  2001-08-08
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  1 in total

1.  The FRAIL-FIT 30 Study - Factors influencing 30-day mortality in frail patients admitted to ICU: A retrospective observational cohort study.

Authors:  David Hewitt; Michael Ratcliffe; Malcolm G Booth
Journal:  J Intensive Care Soc       Date:  2021-01-08
  1 in total

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