Can individual functional improvements be predicted in osteoarthritic patients after total knee arthroplasty?

Autor: Sung Eun Kim, Du Hyun Ro, Myung Chul Lee, Hyuk-Soo Han
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Knee Surgery & Related Research, Vol 36, Iss 1, Pp 1-10 (2024)
Druh dokumentu: article
ISSN: 2234-2451
DOI: 10.1186/s43019-024-00238-1
Popis: Abstract Purpose Total knee arthroplasty (TKA) is an effective treatment for advanced osteoarthritis, and achieving optimal outcomes can be challenging due to various influencing factors. Previous research has focused on identifying factors that affect postoperative functional outcomes. However, there is a paucity of studies predicting individual postoperative improvement following TKA. Therefore, a quantitative prediction model for individual patient outcomes is necessary. Materials and methods Demographic data, radiologic variables, intraoperative variables, and physical examination findings were collected from 976 patients undergoing TKA. Preoperative and 1-year postoperative Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores were assessed, and multivariate regression analysis was conducted to identify significant factors influencing one-year WOMAC scores and changes in WOMAC scores. A predictive model was developed on the basis of the findings. Results The predictive accuracy of the model for 1-year WOMAC scores was poor (all adjusted R 2 0.75). Preoperative WOMAC scores, sex, and postoperative knee range of motion significantly affected all pain, stiffness, and physical function aspects of the WOMAC scores (all P
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