Literature DB >> 25943611

Predicting intensive care and hospital outcome with the Dalhousie Clinical Frailty Scale: a pilot assessment.

C Fisher1, D K Karalapillai2, M Bailey3, N G Glassford4, R Bellomo5, D Jones6.   

Abstract

Frailty may help to predict intensive care unit (ICU) patient outcome. The Dalhousie Clinical Frailty Scale (DCFS) is validated to assess frailty in ambulatory settings but has not been investigated in Australian ICUs. We conducted a prospective three-month study of patients admitted to a tertiary level ICU. Within 24 hours of ICU admission, the next of kin or nurse in charge assigned a DCFS score to the patient. Data were obtained to assess the association between frailty and patient outcome. The DCFS score was completed in 205 of 348 (59%) of eligible patient admissions. The mean DCFS score was 3.2 (±1.6). Overall frailty (DCFS>4) occurred in 28 of 205 patients (13%, confidence interval 9% to 17%), 13 of 93 (15%, confidence interval 10% to 25%) in patients aged >65 years and 5 of 11 (45%, confidence interval 21% to 71%) in those>85 years. Patients with chronic liver disease (P<0.001) and end-stage renal failure (P=0.009) were more likely to be frail. The DCFS score was not significantly associated with ICU or hospital mortality: odds ratio 0.98 (95% confidence interval 0.6 to 1.6) and odds ratio 1.07 (95% confidence interval 0.8 to 1.4), respectively. However, after adjustment for illness severity and requirement for palliative care, the DCFS score was significantly associated with increased (log) hospital length-of-stay (P=0.04) and age (P=0.001). Approximately 1 in 10 ICU patients were frail and this frequency increased with age. The DCFS was associated with patient age and comorbidities and potentially predicts increased hospital length-of-stay but not other outcomes. Strategies to improve compliance with DCFS completion are needed.

Entities:  

Keywords:  critical illness; frailty

Mesh:

Year:  2015        PMID: 25943611     DOI: 10.1177/0310057X1504300313

Source DB:  PubMed          Journal:  Anaesth Intensive Care        ISSN: 0310-057X            Impact factor:   1.669


  13 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.  The Association between Prehospital Vulnerability, ARDS Development, and Mortality among At-Risk Adults. Results from the LIPS-A Clinical Trial.

Authors:  Aluko A Hope; Jen-Ting Chen; David A Kaufman; Daniel S Talmor; Daryl J Kor; Ognjen Gajic; Michelle N Gong
Journal:  Ann Am Thorac Soc       Date:  2019-11

3.  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

Review 4.  [Ethics in intensive care and euthanasia : With respect to inactivating defibrillators at the end of life in terminally ill patients].

Authors:  H-J Trappe
Journal:  Med Klin Intensivmed Notfmed       Date:  2015-11-17       Impact factor: 0.840

5.  Association of frailty with short-term outcomes, organ support and resource use in critically ill patients.

Authors:  Fernando G Zampieri; Theodore J Iwashyna; Elizabeth M Viglianti; Leandro U Taniguchi; William N Viana; Roberto Costa; Thiago D Corrêa; Carlos Eduardo N Moreira; Marcelo O Maia; Giulliana M Moralez; Thiago Lisboa; Marcus A Ferez; Carlos Eduardo F Freitas; Clayton B de Carvalho; Bruno F Mazza; Mariza F A Lima; Grazielle V Ramos; Aline R Silva; Fernando A Bozza; Jorge I F Salluh; Marcio Soares
Journal:  Intensive Care Med       Date:  2018-08-13       Impact factor: 17.440

6.  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.

Authors:  David Hewitt; Malcolm G Booth
Journal:  J Intensive Care Soc       Date:  2019-05-14

7.  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

8.  Survivors of intensive care with type 2 diabetes and the effect of shared care follow-up clinics: study protocol for the SWEET-AS randomised controlled feasibility study.

Authors:  Yasmine Ali Abdelhamid; Liza Phillips; Michael Horowitz; Adam Deane
Journal:  Pilot Feasibility Stud       Date:  2016-10-13

Review 9.  The impact of frailty on intensive care unit outcomes: a systematic review and meta-analysis.

Authors:  John Muscedere; Braden Waters; Aditya Varambally; Sean M Bagshaw; J Gordon Boyd; David Maslove; Stephanie Sibley; Kenneth Rockwood
Journal:  Intensive Care Med       Date:  2017-07-04       Impact factor: 17.440

Review 10.  What do we know about frailty in the acute care setting? A scoping review.

Authors:  Olga Theou; Emma Squires; Kayla Mallery; Jacques S Lee; Sherri Fay; Judah Goldstein; Joshua J Armstrong; Kenneth Rockwood
Journal:  BMC Geriatr       Date:  2018-06-11       Impact factor: 3.921

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