新发传染病电子杂志2026，Vol.11Issue(4)：30-35,6.DOI:10.19871/j.cnki.xfcrbzz.2026.04.005
布鲁氏菌病膝关节受累的肌骨超声预测模型构建与评估
Development and evaluation of a musculoskeletal ultrasound-based prediction model for knee joint involvement in brucellosis
摘要
Abstract
Objective To explore the high risk factors of knee joint involvement in patients with brucellosis based on musculoskeletal ultrasound,to construct and verify the prediction model of knee joint involvement,and to provide theoretical support for early clinical screening,risk stratification and individualized intervention.Method A total of 132 patients with brucellosis who were admitted to the Second Hospital of Hohhot from October 2023 to October 2025 were enrolled,including 60 patients with knee joint involvement.General data and musculoskeletal ultrasound images were collected.Independent risk factors were screened by χ2 test and Logistic regression analysis,and a prediction model was constructed.Bootstrap method was used for internal verification.The accuracy and clinical practicability of the prediction model were evaluated by receiver operating characteristic curve(ROC),Hosmer-Lemeshow test,calibration curve,decision curve analysis(DCA),Shapley Additive Explanations(SHAP)and nomogram.Result Blood flow signal of infrapatellar fat pad and joint cavity/suprapatellar bursa effusion were independent risk factors(all P＜0.05).The model was well distinguished and the calibration degree was high.The clinical net income was good when the threshold probability of DCA was 0.07-0.65.SHAP showed that the blood flow signal of infrapatellar fat pad contributed the most,followed by joint cavity/suprapatellar bursa effusion,both of which positively increased the risk.The prediction probability of the nomogram visualization model is 64.89%.Conclusion Blood flow signal of infrapatellar fat pad and joint cavity/suprapatellar bursa effusion is an independent risk factor for knee joint involvement in patients with brucellosis.The prediction model has the ability to predict the risk of knee joint involvement.关键词
肌骨超声/布鲁氏菌病/膝关节受累/沙普利加性解释Key words
musculoskeletal ultrasound/Brucellosis/Knee joint involvement/Shapley additive explanations分类
医药卫生引用本文复制引用
祁秀,麻凌峰,栗平..布鲁氏菌病膝关节受累的肌骨超声预测模型构建与评估[J].新发传染病电子杂志,2026,11(4):30-35,6.基金项目
内蒙古自治区自然科学基金项目(2023LHMS08053) （2023LHMS08053）
