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Simple Method of Screening for Frailty in Older Adults Using a Chronometer and Tape Measure in Clinic
Objectives Detecting frailty in older adults scheduled for surgery is important to predict the occurrence of adverse outcomes, but because of its complexity, frailty screening is not commonly performed. The objective of the current study was to assess whether frailty can be screened for using automa...
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Published in: | Journal of the American Geriatrics Society (JAGS) 2018-01, Vol.66 (1), p.157-160 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Objectives
Detecting frailty in older adults scheduled for surgery is important to predict the occurrence of adverse outcomes, but because of its complexity, frailty screening is not commonly performed. The objective of the current study was to assess whether frailty can be screened for using automatically measured usual gait speed (UGS) and mid‐arm circumference (MAC) in the outpatient clinic.
Design
Prospective, cross‐sectional study.
Setting
Geriatric center of a tertiary hospital.
Participants
Outpatients aged 65 and older (N = 113).
Measurements
Frailty status was evaluated according to a multidimensional frailty score (MFS) using a comprehensive geriatric assessment, and participants were classified into 5 categories. UGS was evaluated by having participants walk through the clinic using an automated laser‐gated chronometer. MAC was recorded using a tape measure on a blood pressure cuff. Correlations between these two physical measurements and MFS were assessed.
Results
The mean age of the 93 participants who successfully underwent UGS evaluation was 75.8 ± 4.7; 35 were male. In this population, the mean Charlson Comorbidity Index was 2.2 ± 1.4, mean MFS was 4.1 ± 2.0, and 20 participants were considered to be at high risk of experiencing adverse outcomes. Mean UGS was 0.75 ± 0.16 m/s, and mean MAC was 31.2 ± 1.9 cm); both physical parameters were correlated with MFS (UGS: standardized beta = −0.420, P < .001; MAC: standardized beta = −0.457, P < .001). Using UGS and MFS, the area under curve of receiver operating curve for determining which participants were at high risk of experiencing adverse outcomes was 0.809 (P < .001).
Conclusion
UGS and MAC are viable methods of clinically screening for frailty. |
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ISSN: | 0002-8614 1532-5415 |
DOI: | 10.1111/jgs.15204 |