Yun He, Peng Zhao, Yejun Wu, Bo Yang, Hu Li, Ke Tao, Tiezheng Sun, Jianhao Lin, Haixia Fu, Qiusha Huang, Xiaolu Zhu, Fengrong Wang, Xiaodong Mo, Yuanyuan Zhang, Wei Han, Huan Chen, Yao Chen, Jun Kong, Zhidong Wang, ChenHua Yan, Jingzhi Wang, Tingting Han, Yuhong Chen, Yuqian Sun, Yingjun Chang, Yu Wang, Lanping Xu, Xiaojun Huang, Xiaohui Zhang
Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is an important treatment for patients with hematologic cancers. Osteonecrosis of the femoral head (ONFH) is a common complication following allo-HSCT, but factors that predict the need for surgery are unclear. In this retrospective study of ONFH patients after allo-HSCT at Peking University People's Hospital between 2009 and 2021, we aimed to describe the clinical features of ONFH after allo-HSCT and develop a simplified scoring system to identify patients at increased risk of requiring total hip arthroplasty (THA). Among 7707 allo-HSCT recipients, 164 (2.1%) developed ONFH, and 35 (21.3%) underwent THA. LASSO Cox regression identified ARCO stage (HR=2.679, 95% CI: 1.749-4.103, P<0.001) and limited hip mobility (HR=5.690, 95% CI: 2.548-12.708, P<0.001) as independent predictors for THA. A risk score (ARCO stages I- IV: 0, 20, 40, and 60 points, respectively; limited hip mobility: 35 points) stratified patients into low- (0-20 points), intermediate- (21-55 points), and high-risk (56-95 points) groups, which showed 1-year arthroplasty rates of 1.7%, 14.8%, and 52.9%, respectively (P<0.001). The scoring system showed excellent discrimination (bootstrap-corrected C-index=0.861), good calibration, and a positive net benefit in decision curve analysis. Inverse probability of treatment weighting sensitivity analysis yielded consistent estimates (ARCO: HR=2.439; limited hip mobility: HR=6.340). In conclusion, a two-variable scoring system incorporating ARCO stage and limited hip mobility was developed and internally validated to accurately predict the need for THA in patients with ONFH after allo-HSCT. The proposed risk score provides a practical tool for risk stratification and clinical decision-making.