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Patient reported outcome measures in anterior cruciate ligament rupture and reconstruction: The significance of outcome score prediction

Lookup NU author(s): Oday Al-Dadah



This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).


© The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.BACKGROUND Numerous anterior cruciate ligament (ACL) clinical outcome measures exist. However, the result of one score does not equate to the findings of another even when evaluating the same patient group. AIM To investigate if statistically derived formulae can be used to predict the outcome of one knee scoring system when the result of another is known in patients with ACL rupture before and after reconstruction. METHODS Fifty patients with ACL rupture were evaluated using nine clinical outcome measures. These included Tegner Activity Score, Lysholm Knee Score, Cincinnati Knee Score, International Knee Documentation Committee (IKDC) Objective Knee Score, Tapper and Hoover Meniscal Grading Score, IKDC Subjective Knee Score, Knee Outcome Survey - Activities of Daily Living Scale (KOS-ADLS), Short Form-12 Item Health Survey and Knee Injury and Osteoarthritis Outcome Score. Thirtyfour patients underwent an ACL reconstruction and were reassessed post operatively. RESULTS The mean total of each of the nine outcome scores appreciably differed from each other. Significant correlations and regressions were found between most of the outcome scores and were stronger post-operatively. The strongest correlation was found between Cincinnati and KOS-ADLS (r = 0.91, P < 0.001). The strongest regression formula was also found between Cincinnati and KOSADLS (R2 = 0.84, P < 0.001). CONCLUSION The formulae produced from this study can be used to predict the outcome of one knee score when the results of the other are known. These formulae could facilitate the conduct of systematic reviews and meta-analysis in studies relating to ACL injuries by allowing the pooling of substantially more data

Publication metadata

Author(s): Al-Dadah O, Shepstone L, Donell ST

Publication type: Article

Publication status: Published

Journal: World Journal of Clinical Cases

Year: 2022

Volume: 10

Issue: 30

Pages: 10939-10955

Online publication date: 26/10/2022

Acceptance date: 19/09/2022

Date deposited: 08/11/2022

ISSN (electronic): 2307-8960

Publisher: Baishideng Publishing Group Inc.


DOI: 10.12998/wjcc.v10.i30.10939


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