Literature DB >> 35615231

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

David Hewitt1, Michael Ratcliffe1, Malcolm G Booth1.   

Abstract

Background: Frailty is a multi-dimensional syndrome of reduced reserve, resulting from overlapping physiological decrements across multiple systems. The contributing factors, temporality and magnitude of frailty's effect on mortality after ICU admission are unclear. This study assessed frailty's impact on mortality and life sustaining therapy (LST) use, following ICU admission.
Methods: This single-centre retrospective observational cohort study analysed data collected prospectively in Glasgow Royal Infirmary ICU. Of 684 eligible patients, 171 were frail and 513 were non-frail. Frailty was quantified using the Rockwood Clinical Frailty Scale (CFS). All patients were followed up 1-year after ICU admission. The primary outcome was all-cause mortality at 30-days post-ICU admission. Key secondary outcomes included mortality at 1-year and LST use.
Results: Frail patients were significantly less likely to survive 30-days post-ICU admission (61.4% vs 81.1%, p < 0.001). This continued to 1-year (48.5% vs 68.2%, p < 0.001). Frailty significantly increased mortality hazards in covariate-adjusted analyses at 30-days (HR 1.56; 95%CI 1.14-2.15; p = 0.006), and 1-year (HR 1.35; 95%CI 1.03-1.76; p = 0.028). Single-point CFS increases were associated with a 30-day mortality hazard of 1.23 (95%CI 1.13-1.34; p < 0.001) in unadjusted analyses, and 1.11 (95%CI 1.01-1.22; p = 0.026) after covariate adjustment. Frail patients received significantly more days of LST (median[IQR]: 5[3,11] vs 4[2,9], p = 0.008).
Conclusion: Frailty was significantly associated with greater mortality at all time points studied, but most notably in the first 30-days post-ICU admission. This was despite greater LST use. The accrual effect of frailty increased adverse outcomes. Point-by-point use of frailty scoring could allow for more informed decision making in ICU. © The Intensive Care Society 2021.

Entities:  

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

Year:  2021        PMID: 35615231      PMCID: PMC9125452          DOI: 10.1177/1751143720985164

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


  37 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.  Combining multiple comorbidities with Acute Physiology Score to predict hospital mortality of critically ill patients: a linked data cohort study.

Authors:  K M Ho; J Finn; M Knuiman; S A R Webb
Journal:  Anaesthesia       Date:  2007-11       Impact factor: 6.955

3.  Frailty and Subsequent Disability and Mortality among Patients with Critical Illness.

Authors:  Nathan E Brummel; Susan P Bell; Timothy D Girard; Pratik P Pandharipande; James C Jackson; Alessandro Morandi; Jennifer L Thompson; Rameela Chandrasekhar; Gordon R Bernard; Robert S Dittus; Thomas M Gill; E Wesley Ely
Journal:  Am J Respir Crit Care Med       Date:  2017-07-01       Impact factor: 21.405

4.  Is frailty a prognostic factor for critically ill elderly patients?

Authors:  Muhammet Cemal Kizilarslanoglu; Ramazan Civelek; Mustafa Kemal Kilic; Fatih Sumer; Hacer Dogan Varan; Ozgur Kara; Gunes Arik; Melda Turkoglu; Gulbin Aygencel; Zekeriya Ulger
Journal:  Aging Clin Exp Res       Date:  2016-03-22       Impact factor: 3.636

5.  APACHE II: a severity of disease classification system.

Authors:  W A Knaus; E A Draper; D P Wagner; J E Zimmerman
Journal:  Crit Care Med       Date:  1985-10       Impact factor: 7.598

6.  Frailty in the age of VIPs (very old intensive care patients).

Authors:  Carmel Montgomery; Sean M Bagshaw
Journal:  Intensive Care Med       Date:  2017-10-30       Impact factor: 17.440

7.  Treatment intensity and outcome of patients aged 80 and older in intensive care units: a multicenter matched-cohort study.

Authors:  Ariane Boumendil; Philippe Aegerter; Bertrand Guidet
Journal:  J Am Geriatr Soc       Date:  2005-01       Impact factor: 5.562

8.  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

9.  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

Review 10.  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

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