PMID- 32816314
OWN - NLM
STAT- MEDLINE
DCOM- 20210318
LR  - 20210318
IS  - 1532-5415 (Electronic)
IS  - 0002-8614 (Linking)
VI  - 68
IP  - 12
DP  - 2020 Dec
TI  - Development of a Frailty Index from Routine Hospital Data in Perioperative and 
      Critical Care.
PG  - 2831-2838
LID - 10.1111/jgs.16788 [doi]
AB  - BACKGROUND/OBJECTIVES: Frailty is common in surgical and intensive care unit 
      (ICU) populations, yet it is not routinely measured. Frailty indices are able to 
      quantify this condition across a range of health deficits. We aimed to develop a 
      frailty index (FI) from routinely collected hospital data in a surgical and ICU 
      population. DESIGN: Prospective observational single-center cohort study. 
      SETTING: Tertiary referral metropolitan Australian hospital. PARTICIPANTS: A 
      total of 336 individuals aged 65 and older undergoing surgery or aged 50 and 
      older admitted to the ICU. MEASUREMENTS: Routine admission health data were used 
      to derive an FI comprising 36 health deficits. We examined the FI correlation 
      with existing frailty tools (Clinical Frailty Scale [CFS] and Edmonton Frail 
      Scale [EFS]) and assessed its predictive ability for negative outcomes including 
      30-day mortality. RESULTS: Median FI was .17 (interquartile range 
      [IQR]) = .10-.24) for ICU patients and .17 (IQR = .11-.25) for surgical patients; 
      maximum FI was .58, and 25% (95% confidence interval [CI] = 10.4-29.6) of 
      patients overall were diagnosed with frailty (FI score >/=.25). Correlation was 
      strong between the FI and the EFS: rho = .76 (95% CI = .70-.83) for ICU patients 
      and .71 (95% CI = .64-.78) for surgical patients, and the CFS was .77 (95% 
      CI = .70-.84) for ICU patients and .72 (95% CI = .65-.79) for surgical patients. 
      The FI had good discriminative ability for prediction of 30-day mortality in ICU 
      patients (multivariate odds ratio for each increase in FI of .1 = 2.04 [95% 
      CI = 1.19-3.48]), comparable with the performance of the Acute Physiology and 
      Chronic Health Evaluation III score (ICU patients) and the Portsmouth 
      Physiological and Operative Severity Score for the Enumeration of Mortality and 
      Morbidity score (surgical patients). CONCLUSION: It is feasible to construct an 
      FI from hospital admission data in a cohort of critically ill and surgical 
      patients.
CI  - (c) 2020 The American Geriatrics Society.
FAU - Darvall, Jai N
AU  - Darvall JN
AUID- ORCID: 0000-0003-0579-8931
AD  - Department of Anaesthesia and Pain Management, Royal Melbourne Hospital, 
      Melbourne, Victoria, Australia.
AD  - Centre for Integrated Critical Care, The University of Melbourne, Melbourne, 
      Victoria, Australia.
FAU - Greentree, Kate
AU  - Greentree K
AD  - Department of Anaesthesia and Pain Management, Royal Melbourne Hospital, 
      Melbourne, Victoria, Australia.
FAU - Loth, Joel
AU  - Loth J
AD  - Department of Anaesthesia and Pain Management, Royal Melbourne Hospital, 
      Melbourne, Victoria, Australia.
FAU - Bose, Tony
AU  - Bose T
AD  - Department of Anaesthesia and Pain Management, Royal Melbourne Hospital, 
      Melbourne, Victoria, Australia.
FAU - De Silva, Anurika
AU  - De Silva A
AD  - Centre for Epidemiology and Biostatistics, Melbourne School of Population and 
      Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
FAU - Braat, Sabine
AU  - Braat S
AD  - Centre for Epidemiology and Biostatistics, Melbourne School of Population and 
      Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
FAU - Lim, Wen K
AU  - Lim WK
AD  - Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia.
FAU - Story, David A
AU  - Story DA
AD  - Centre for Integrated Critical Care, The University of Melbourne, Melbourne, 
      Victoria, Australia.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20200820
PL  - United States
TA  - J Am Geriatr Soc
JT  - Journal of the American Geriatrics Society
JID - 7503062
SB  - IM
MH  - Aged
MH  - Australia/epidemiology
MH  - *Critical Care
MH  - Critical Illness
MH  - *Data Collection
MH  - Female
MH  - Frailty/*epidemiology
MH  - *Hospitalization
MH  - Humans
MH  - *Intensive Care Units
MH  - Male
MH  - Prospective Studies
MH  - Risk Factors
MH  - Severity of Illness Index
MH  - *Surgical Procedures, Operative
MH  - Surveys and Questionnaires
OTO - NOTNLM
OT  - critical care
OT  - frailty
OT  - perioperative care
OT  - risk assessment
EDAT- 2020/08/21 06:00
MHDA- 2021/03/19 06:00
CRDT- 2020/08/21 06:00
PHST- 2020/04/04 00:00 [received]
PHST- 2020/07/18 00:00 [revised]
PHST- 2020/07/22 00:00 [accepted]
PHST- 2020/08/21 06:00 [pubmed]
PHST- 2021/03/19 06:00 [medline]
PHST- 2020/08/21 06:00 [entrez]
AID - 10.1111/jgs.16788 [doi]
PST - ppublish
SO  - J Am Geriatr Soc. 2020 Dec;68(12):2831-2838. doi: 10.1111/jgs.16788. Epub 2020 
      Aug 20.