作者
Hamid Rahmatullah Bin Abd Razak, Chuen-Seng Tan, Yongqiang Jerry Delphi Chen, Hee-Nee Pang, Keng-Jin Darren Tay, Pak-Lin Chin, Shi-Lu Chia, Ngai-Nung Lo, Seng-Jin Yeo
发表日期
2016/5/4
期刊
JBJS
卷号
98
期号
9
页码范围
735-741
出版商
LWW
简介
Background:
The ability to predict patients’ functional outcomes will add value to preoperative counseling. The purpose of this study was to evaluate predictors of good outcomes following total knee arthroplasty (TKA) among Asian patients.
Methods:
Registry data from 2006 to 2010 were extracted. The Oxford Knee Score (OKS) and the Short Form (SF)-36 physical component summary (PCS) were used to evaluate outcomes. A “good outcome” was defined as an improvement in scores of greater than or equal to the minimal clinically important difference (MCID) in the primary analysis. The MCID for the OKS was 5, and the MCID for the PCS was 10. For the sensitivity analyses, a “good outcome” was defined as an OKS of< 30 and a PCS score of> 50. Clinical variables were used to develop a multiple logistic regression model for a good outcome following total knee arthroplasty at 5 years.
Results:
Follow-up data were …
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HRB Abd Razak, CS Tan, YJD Chen, HN Pang… - JBJS, 2016