SAFETYLIT WEEKLY UPDATE

We compile citations and summaries of about 400 new articles every week.
RSS Feed

HELP: Tutorials | FAQ
CONTACT US: Contact info

Search Results

Journal Article

Citation

Amano T, Tamari K, Suzuki N. Arch. Phys. Med. Rehabil. 2020; ePub(ePub): ePub.

Copyright

(Copyright © 2020, Elsevier Publishing)

DOI

10.1016/j.apmr.2020.12.001

PMID

33309679

Abstract

OBJECTIVE: This study aimed to cross-validate a previously developed knee osteoarthritis falls (KOAF) screening tool to distinguish between fallers and non-fallers in community-dwelling older adults with knee osteoarthritis (OA).

DESIGN: A cross-sectional survey study.

SETTING: Three independent orthopedic clinics.

PARTICIPANTS: Eighty-six older outpatients with knee OA (71 females, 15 males; mean age, 75.2 ± 6.2 years) participated in this study.

INTERVENTION: Not applicable.

MAIN OUTCOME MEASURES: The primary outcome was to identify fallers and non-fallers among outpatients with OA based on their history of falls within the past year. We investigated factors including sex, age, body mass index, Kellgren-Lawrence grade, affected side (bilateral or unilateral knee OA), number of comorbidities, pharmacotherapy, physical therapy, pain, and activity as individual predictors of falls. Participants performed one-leg standing test, and five times sit-to-stand test to determine motor function. Sensitivity, specificity, likelihood ratio, and post-test probability of the KOAF screening tool were calculated using receiver operating characteristic (ROC) curve analysis.

RESULTS: The results of one-leg standing test and five times sit-to-stand test differed significantly between the two groups (p < 0.05). ROC curve analysis showed that the area under the curve was 0.88 (95% confidence interval 0.80-0.96, p < 0.001). The post-test probability of falls was 83.3% (positive likelihood ratio, 11.54) when the total score of KOAF screening tool was 2 points and 2.6% (negative likelihood ratio, 0.06) when the total score of KOAF screening tool was <1 point.

CONCLUSIONS: Cross-validation results for the KOAF screening tool were better, confirming that the screening tool could distinguish between fallers and non-fallers with high accuracy. Our findings suggest that this simple screening tool could be readily used in clinical practice and could aid in clinical decision-making through providing choices for physical therapy evaluation and recommendations for physical therapy programs.


Language: en

Keywords

falls; knee; clinical prediction rule; osteoarthritis; physical and rehabilitation medicine

NEW SEARCH


All SafetyLit records are available for automatic download to Zotero & Mendeley
Print