Official Publication of the National Center for Trauma Research Trauma Monthly 2251-7464 31 1 2026 01 01 Development of a Predictive Model for Hip Dislocation Following Total Hip Arthroplasty in Patients with Spinal Disorders 1676 1685 243073 10.30491/tm.2025.532396.1851 EN Mehrdad Zamani Faculty member of Tabriz University of medical science, Shohada Hospital, Tabriz University of medical science, Tabriz, Iran Aran Nikpay Faculty member of Tabriz University of medical science, Shohada Hospital, Tabriz University of medical science, Tabriz, Iran 0000-0003-3155-878X Mohammadreza Hashemi Aghdam Faculty member of Tabriz University of medical science, Shohada Hospital, Tabriz University of medical science, Tabriz, Iran 0000-0003-0658-031X Ali Dezhpasand Faculty member of Tabriz University of medical science, Shohada Hospital, Tabriz University of medical science, Tabriz, Iran Alireza Sadeghpour Faculty member of Tabriz University of medical science, Shohada Hospital, Tabriz University of medical science, Tabriz, Iran 0000-0003-0585-4470 Journal Article 2025 07 05 Introduction: Total hip arthroplasty (THA) is an effective treatment for advanced hip conditions, yet postoperative dislocation remains a significant complication, especially in patients with spinal disorders. Altered spinopelvic alignment and reduced spinal mobility can lead to prosthetic instability. Given the growing prevalence of coexisting conditions, this study aimed to develop a predictive model to identify individuals at increased risk of hip dislocation after THA with spinal abnormalities. Method: This descriptive cross-sectional study was conducted over 10 years, until 2023, at Shohada Hospital, including 225 patients (75 with spinal disorders and 150 controls) who experienced hip dislocation after total hip arthroplasty. Key variables, including demographic data, surgical factors, comorbidities, and medication history, were analyzed. Result: In this study, two predictive models were developed to assess the postoperative risk of hip dislocation in patients with spinal disorders. Model I, based on logistic regression, included 14 variables and showed moderate discrimination (C-index=0.67) but limited calibration and low R² (0.04). Model II, using elastic net regression, selected nine key predictors—including hip rotation, anemia, BMI 30–35, and certain medications—and achieved better discrimination (AUC=0.73), though with similarly low explanatory power (R²=0.02). Conclusion: This study identified demographic variables (age, BMI), clinical factors (history of psychosis, preoperative anemia), surgical parameters (type of femoral fixation, preoperative hip internal rotation, surgical indication), and medication use (antiepileptic drugs, muscle relaxants, antidiabetic medications) as significant predictors of postoperative hip dislocation risk following total hip arthroplasty in patients with spinal disorders.

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