The risk factors for early conversion to total knee arthroplasty after high tibial osteotomy
Hong-bo Li,
Si Nie,
Min Lan,
Zhi-ming Tang and
Xin-gen Liao
Computer Methods in Biomechanics and Biomedical Engineering, 2021, vol. 24, issue 7, 721-727
Abstract:
The primary aim was to identify potential risk factors for early conversion to total knee arthroplasty (TKA) in patients with high tibial osteotomy (HTO) surgery. A retrospective study was conducted and 240 patients received HTO surgery between January 2008 and January 2014 were included in this study. The associations between different clinical factors and HTO survivorship were analyzed. A logistic regression analysis was performed to detect independent risk factors for HTO survivorship. The cut-off value, sensitivity and specificity of these independent factors were calculated by receiver operating characteristic (ROC) curve. In this study, thirty-five (14.6%) patients were early conversion to TKA within a 5-year follow-up. These results indicated that age, body mass index (BMI), preoperative Kellgren-Lawrence (K-L) grade and preoperative visual analogue scale (VAS) score were potential risk factors for HTO survivorship. The cut-off values of those factors were 60 years, 25.35 kg/m2, 2 and 5, respectively. The combination of age, BMI, preoperative K-L grade and preoperative VAS score has the highest predictive value for HTO survivorship (AUC = 0.896, P 60 years, BMI >25.35 kg/m2, preoperative K-L grade >2 and preoperative VAS score >5 as independent risk factors for early conversion to TKA in patients with HTO surgery, and those factors combined had the highest predictive value for predicting early conversion to TKA.
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/10255842.2020.1849155 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:gcmbxx:v:24:y:2021:i:7:p:721-727
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/gcmb20
DOI: 10.1080/10255842.2020.1849155
Access Statistics for this article
Computer Methods in Biomechanics and Biomedical Engineering is currently edited by Director of Biomaterials John Middleton
More articles in Computer Methods in Biomechanics and Biomedical Engineering from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().