A Prospective Comparison of Frailty Scores and Fall Prediction in Acutely Injured Older Adults.


Journal

The Journal of surgical research
ISSN: 1095-8673
Titre abrégé: J Surg Res
Pays: United States
ID NLM: 0376340

Informations de publication

Date de publication:
01 2021
Historique:
received: 28 02 2020
revised: 17 07 2020
accepted: 02 08 2020
pubmed: 6 9 2020
medline: 5 1 2021
entrez: 5 9 2020
Statut: ppublish

Résumé

Elderly (65 and older) fall-related injuries are a significant cause of morbidity and mortality. Although frailty predicts poor outcomes in geriatric trauma, literature comparing frailty scoring systems remains limited. Herein, we evaluated which frailty scoring system best predicts falls over time in the elderly. Acute surgical patients 65 y and older were enrolled and prospectively observed. Demographics and frailty, assessed using the FRAIL Scale, Trauma Specific Frailty Index (TSFI), and Canadian Frailty Scale (CSHA-CFS), were collected at enrollment and 3 mo intervals following discharge for 1 y. Surveys queried the total number and timing of falls. Changes in frailty over time were assessed by logistic regression and area under the curve (AUC). Fifty-eight patients were enrolled. FRAIL Scale and CSHA-CFS scores did not change over time, but TSFI scores did (P ≤ 0.01). Worsening frailty was observed using TSFI at 6 (P ≤ 0.01) and 12 mo (P ≤ 0.01) relative to baseline. Mortality did not differ based on frailty using any frailty score. Increasing frailty scores and time postdischarge was associated with increased odds of a fall. AUC estimates with 95% CI were 0.72 [0.64, 0.80], 0.81 [0.74, 0.88], and 0.76 [0.68, 0.84] for the FRAIL Scale, TSFI, and CSHA-CFS, respectively. The risk of falls postdischarge were associated with increased age, time postdischarge, and frailty in our population. No scale appeared to significantly outperform the other by AUC estimation. Further study on the longitudinal effects of frailty is warranted.

Sections du résumé

BACKGROUND
Elderly (65 and older) fall-related injuries are a significant cause of morbidity and mortality. Although frailty predicts poor outcomes in geriatric trauma, literature comparing frailty scoring systems remains limited. Herein, we evaluated which frailty scoring system best predicts falls over time in the elderly.
MATERIALS AND METHODS
Acute surgical patients 65 y and older were enrolled and prospectively observed. Demographics and frailty, assessed using the FRAIL Scale, Trauma Specific Frailty Index (TSFI), and Canadian Frailty Scale (CSHA-CFS), were collected at enrollment and 3 mo intervals following discharge for 1 y. Surveys queried the total number and timing of falls. Changes in frailty over time were assessed by logistic regression and area under the curve (AUC).
RESULTS
Fifty-eight patients were enrolled. FRAIL Scale and CSHA-CFS scores did not change over time, but TSFI scores did (P ≤ 0.01). Worsening frailty was observed using TSFI at 6 (P ≤ 0.01) and 12 mo (P ≤ 0.01) relative to baseline. Mortality did not differ based on frailty using any frailty score. Increasing frailty scores and time postdischarge was associated with increased odds of a fall. AUC estimates with 95% CI were 0.72 [0.64, 0.80], 0.81 [0.74, 0.88], and 0.76 [0.68, 0.84] for the FRAIL Scale, TSFI, and CSHA-CFS, respectively.
CONCLUSIONS
The risk of falls postdischarge were associated with increased age, time postdischarge, and frailty in our population. No scale appeared to significantly outperform the other by AUC estimation. Further study on the longitudinal effects of frailty is warranted.

Identifiants

pubmed: 32889331
pii: S0022-4804(20)30547-3
doi: 10.1016/j.jss.2020.08.007
pmc: PMC7736528
mid: NIHMS1651538
pii:
doi:

Types de publication

Comparative Study Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

326-332

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR001860
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002537
Pays : United States

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

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Auteurs

Shawn Tejiram (S)

Division of Burn Surgery, Department of Surgery, University of California, Davis, Sacramento, California.

Julia Cartwright (J)

School of Medicine, University of Michigan, Ann Arbor, Michigan.

Sandra L Taylor (SL)

Division of Biostatistics, Department of Public Health Sciences, University of California Davis, Sacramento, California.

Victor H Hatcher (VH)

Carver College of Medicine, University of Iowa, Iowa City, Iowa.

Colette Galet (C)

Division of Acute Care Surgery, Department of Surgery, University of Iowa, Iowa City, Iowa.

Dionne A Skeete (DA)

Division of Acute Care Surgery, Department of Surgery, University of Iowa, Iowa City, Iowa.

Kathleen S Romanowski (KS)

Division of Burn Surgery, Department of Surgery, University of California, Davis, Sacramento, California. Electronic address: ksromanowski@ucdavis.edu.

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