International Journal of Clinical Research
International Journal of Clinical Research. 2025; 9: (6) ; 10.12208/j.ijcr.20250299 .
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漯河医学高等专科学校第二附属医院 河南漯河
*通讯作者： 卢炯炯,单位：漯河医学高等专科学校第二附属医院 河南漯河；
目的 探讨距骨骨软骨损伤（OLTs）患者合并慢性踝关节不稳（CAI）的临床预测因子，建立预测模型以指导手术方案选择。方法 选择2023年7月到2024年6月收治的OLTs患者40例，收集患者临床数据，通过MRI检查和AOFAS功能评分随访1年。采用Logistic回归分析独立危险因素。结果 多因素分析确定了OLTs合并CAI的独立预测因子，构建的预测模型具有较高的灵敏度和特异度。结论 本研究建立的预测模型可有效识别OLTs合并CAI的高风险患者，指导临床选择联合韧带修复术等个性化治疗方案，改善患者预后。
Objective To explore the clinical predictive factors of chronic ankle instability (CAI) in patients with talus osteochondral injuries (OLTs), and establish a predictive model to guide surgical plan selection. Methods Forty patients with OLTs admitted from July 2023 to June 2024 were selected, and clinical data were collected. MRI examination and AOFAS functional score were followed up for one year. Use logistic regression analysis to identify independent risk factors. Results Multivariate analysis identified independent predictive factors for OLTs combined with CAI, and the constructed predictive model exhibited high sensitivity and specificity. Conclusion The predictive model established in this study can effectively identify high-risk patients with OLTs combined with CAI, guide clinical selection of personalized treatment plans such as combined ligament repair, and improve patient prognosis.
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