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A comparative analysis of three frailty assessment tools for hospitalized patients with stroke
by
Zhang, Xiao-Min
, Yang, Juan
, Yu, Ling
, Tang, Qiu-Yue
, Gu, Ping
, Tang, Xin-Xin
, Wang, Hao
in
Aged
/ Aged, 80 and over
/ Chronic illnesses
/ Clinical medicine
/ Comparative analysis
/ Cronbach's alpha
/ Disease
/ Female
/ Frail Elderly
/ Frail scale
/ Frailty
/ Frailty - complications
/ Frailty - diagnosis
/ Frailty assessment
/ Frailty index
/ Fried’s frailty phenotype
/ Genotype & phenotype
/ Geriatric Assessment - methods
/ Hospitalization
/ Humans
/ Ischemia
/ Male
/ Middle Aged
/ Mortality
/ Neurology
/ Neurosurgery
/ Nursing
/ Older people
/ Phenotypes
/ Questionnaires
/ Risk Assessment - methods
/ Stroke
/ Stroke - complications
/ Stroke - diagnosis
/ Tilburg’s frailty scale
/ Variables
2024
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A comparative analysis of three frailty assessment tools for hospitalized patients with stroke
by
Zhang, Xiao-Min
, Yang, Juan
, Yu, Ling
, Tang, Qiu-Yue
, Gu, Ping
, Tang, Xin-Xin
, Wang, Hao
in
Aged
/ Aged, 80 and over
/ Chronic illnesses
/ Clinical medicine
/ Comparative analysis
/ Cronbach's alpha
/ Disease
/ Female
/ Frail Elderly
/ Frail scale
/ Frailty
/ Frailty - complications
/ Frailty - diagnosis
/ Frailty assessment
/ Frailty index
/ Fried’s frailty phenotype
/ Genotype & phenotype
/ Geriatric Assessment - methods
/ Hospitalization
/ Humans
/ Ischemia
/ Male
/ Middle Aged
/ Mortality
/ Neurology
/ Neurosurgery
/ Nursing
/ Older people
/ Phenotypes
/ Questionnaires
/ Risk Assessment - methods
/ Stroke
/ Stroke - complications
/ Stroke - diagnosis
/ Tilburg’s frailty scale
/ Variables
2024
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A comparative analysis of three frailty assessment tools for hospitalized patients with stroke
by
Zhang, Xiao-Min
, Yang, Juan
, Yu, Ling
, Tang, Qiu-Yue
, Gu, Ping
, Tang, Xin-Xin
, Wang, Hao
in
Aged
/ Aged, 80 and over
/ Chronic illnesses
/ Clinical medicine
/ Comparative analysis
/ Cronbach's alpha
/ Disease
/ Female
/ Frail Elderly
/ Frail scale
/ Frailty
/ Frailty - complications
/ Frailty - diagnosis
/ Frailty assessment
/ Frailty index
/ Fried’s frailty phenotype
/ Genotype & phenotype
/ Geriatric Assessment - methods
/ Hospitalization
/ Humans
/ Ischemia
/ Male
/ Middle Aged
/ Mortality
/ Neurology
/ Neurosurgery
/ Nursing
/ Older people
/ Phenotypes
/ Questionnaires
/ Risk Assessment - methods
/ Stroke
/ Stroke - complications
/ Stroke - diagnosis
/ Tilburg’s frailty scale
/ Variables
2024
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A comparative analysis of three frailty assessment tools for hospitalized patients with stroke
Journal Article
A comparative analysis of three frailty assessment tools for hospitalized patients with stroke
2024
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Overview
The aim of this study is to assess the effectiveness of three frailty assessment tools in determining frailty risk among hospitalized patients with stroke and to offer a reference framework for selecting appropriate clinical frailty assessment tools in stroke management.
A group of 203 hospitalized patients who had stroke were selected through convenience sampling and assessed for frailty using the Frailty Index, Fried Frailty Phenotype, FRAIL Scale, and Tilburg Frailty Scale. The efficacy of the three frailty assessment tools in assessing frailty risk in hospitalized patients with stroke was compared via Bayes discrimination and ROC curve analysis by using the Frailty Index as the diagnostic criterion for stroke-related frailty.
The incidence of frailty among patients with stroke ranged from 21.2 % to 23.6 %. The Kappa values indicating the agreement between the Frailty Index and Fried’s Frailty Phenotype, FRAIL Scale, and Tilburg Frailty Scale were 0.826, 0.928, and 0.707, respectively (all P < 0.01). The cross-validation accuracy for frailty risk prediction in patients with stroke was 94.1 %, 97.5 %, and 89.7 %, respectively. The areas under the ROC curves for these tools were 0.884, 0.955, and 0.896, respectively.
The effectiveness of the three assessment tools in assessing frailty risk in patients with stroke ranked from highest to lowest, was as follows: FRAIL Scale, Fried Frailty Phenotype, and Tilburg Frailty Scale. Considering both assessment efficacy and convenience, the FRAIL Scale is recommended for widespread use in frailty screening among hospitalized patients with stroke.
•High Agreement with Frailty Index:FRAIL, FFP and TFI align closely with Frailty Index, Kappa=0.928, 0.826, 0.707.•High Predictive Accuracy:The tools demonstrated high accuracy in predicting frailty risk,cross-validation accuracy rates:FRAIL=97.54%,FFP=94.09%, TFI=89.66%.•Recommendation for Use:FRAIL advised for wide use: high efficacy (ROC AUC 0.955) and ease in frailty screening of stroke patients.
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