Predictive Factors for Gait Recovery in Patients Undergoing Total Hip Arthroplasty: A Propensity Score Weighting Analysis

<b>Objectives:</b> This paper's objective was to identify clinical predictors, especially modifiable ones, associated with postoperative gait recovery in total hip arthroplasty (THA) patients, utilizing propensity score weighting (PSW) to control confounding factors. <b>Methods:</b> This retrospective cohort study included 221 patients who underwent primary unilateral THA. We used PSW analysis to balance patient characteristics. Univariate and multivariate logistic regression analyses were applied to determine predictors of improved gait recovery, assessing variables such as age, gender, and postoperative muscle strength. <b>Results:</b> Independent predictors of favorable gait recovery were male gender (Odds Ratio [OR]: 1.382; 95% Confidence Interval [CI]: 1.225-1.560; <i>p</i> < 0.001), younger age (OR: 0.990 per year; 95% CI: 0.985-0.995; <i>p</i> < 0.001), and postoperative hip flexor muscle strength greater than grade 3 (OR: 1.516; 95% CI: 1.177-1.953; <i>p</i> = 0.002). Muscle strength emerged as a modifiable factor, suggesting that targeted rehabilitation may enhance functional outcomes. <b>Conclusions:</b> Enhancing hip flexor strength postoperatively could significantly improve gait recovery in THA patients. These findings support developing individualized rehabilitation strategies to optimize functional outcomes.

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Publication Details

Journal
Journal of Clinical Medicine
Published
2025-03-14
DOI
https://doi.org/10.3390/jcm14061979
Citations
1
Primary Topic
Orthopaedic implants and arthroplasty
Type
article
Field-Weighted Citation Impact
2.01

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article

Predictive Factors for Gait Recovery in Patients Undergoing Total Hip Arthroplasty: A Propensity Score Weighting Analysis

Sung Ryul Shim, Jung Keun Hyun, Seoyoung C. Kim, Yuna Kim
1 citations
Journal of Clinical Medicine
Orthopaedic implants and arthroplasty
2.01
article

Predictive Factors for Gait Recovery in Patients Undergoing Total Hip Arthroplasty: A Propensity Score Weighting Analysis

Sung Ryul Shim, Jung Keun Hyun, Seoyoung C. Kim, Yuna Kim
article en
1 citations

Abstract

<b>Objectives:</b> This paper's objective was to identify clinical predictors, especially modifiable ones, associated with postoperative gait recovery in total hip arthroplasty (THA) patients, utilizing propensity score weighting (PSW) to control confounding factors. <b>Methods:</b> This retrospective cohort study included 221 patients who underwent primary unilateral THA. We used PSW analysis to balance patient characteristics. Univariate and multivariate logistic regression analyses were applied to determine predictors of improved gait recovery, assessing variables such as age, gender, and postoperative muscle strength. <b>Results:</b> Independent predictors of favorable gait recovery were male gender (Odds Ratio [OR]: 1.382; 95% Confidence Interval [CI]: 1.225-1.560; <i>p</i> < 0.001), younger age (OR: 0.990 per year; 95% CI: 0.985-0.995; <i>p</i> < 0.001), and postoperative hip flexor muscle strength greater than grade 3 (OR: 1.516; 95% CI: 1.177-1.953; <i>p</i> = 0.002). Muscle strength emerged as a modifiable factor, suggesting that targeted rehabilitation may enhance functional outcomes. <b>Conclusions:</b> Enhancing hip flexor strength postoperatively could significantly improve gait recovery in THA patients. These findings support developing individualized rehabilitation strategies to optimize functional outcomes.

Journal of Clinical MedicineVol. 14(6)
Konyang University (KR), Konyang University Hospital (KR), Dankook University (KR)
National Research Foundation
Openalex Percentile: Top 18%
Orthopaedic implants and arthroplasty
2.01
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