Department of Radiology, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics, Guangdong Province), Guangzhou, China.
Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, Hong Kong SAR, China.
Front Endocrinol (Lausanne). 2021 Nov 23;12:771997. doi: 10.3389/fendo.2021.771997. eCollection 2021.
To predict the treatment response for axial spondyloarthritis (axSpA) with hip involvement in 1 year based on MRI and clinical indicators.
A total of 77 axSpA patients with hip involvement (60 males; median age, 25 years; interquartile, 22-31 years old) were treated with a drug recommended by the Assessment of SpondyloArthritis international Society and the European League Against Rheumatism (ASAS-EULAR) management. They were prospectively enrolled according to Assessment in SpondyloArthritis international Society (ASAS) criteria. Clinical indicators, including age, gender, disease duration, erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP), were collected at baseline and in 3 months to 1-year follow-up. Treatment response was evaluated according to ASAS response criteria. MRI indicators consisting of bone marrow edema (BME) in acetabulum and femoral head, hip effusion, fat deposition, thickened synovium, bone erosion, bone proliferation, muscle involvement, enthesitis and bony ankylosis were assessed at baseline. Spearman's correlation analysis was utilized for indicator selection. The selected clinical and MRI indicators were integrated with previous clinical knowledge to develop multivariable logistic regression models. Receiver operator characteristic curve and area under the curve (AUC) were used to assess the performance of the constructed models.
The model combining MR indicators comprising hip effusion, BME in acetabulum and femoral head and clinical indicators consisting of disease duration, ESR and CRP yielded AUC values of 0.811 and 0.753 for the training and validation cohorts, respectively.
The model combining MRI and clinical indicators could predict treatment response for axSpA with hip involvement in 1 year.
基于 MRI 和临床指标预测髋关节受累的中轴型脊柱关节炎(axSpA)患者在 1 年内的治疗反应。
共纳入 77 例髋关节受累的 axSpA 患者(60 例男性;中位年龄 25 岁;四分位距 22-31 岁),按照 ASAS-EULAR 建议的药物方案进行治疗。所有患者均根据 ASAS 标准进行前瞻性入组。收集基线及治疗后 3 个月至 1 年的临床指标,包括年龄、性别、疾病病程、红细胞沉降率(ESR)和 C 反应蛋白(CRP)。采用 ASAS 缓解标准评估治疗反应。基线时评估 MRI 指标,包括髋臼和股骨头骨髓水肿(BME)、髋关节积液、脂肪沉积、滑膜增厚、骨侵蚀、骨增生、肌肉受累、附着点炎和骨强直;采用 Spearman 相关分析进行指标选择。将选择的临床和 MRI 指标与既往临床知识相结合,建立多变量逻辑回归模型。采用受试者工作特征曲线(ROC)和曲线下面积(AUC)评估构建模型的性能。
联合髋关节积液、髋臼和股骨头 BME 及疾病病程、ESR 和 CRP 的 MRI 指标与临床指标建立的模型,在训练集和验证集中的 AUC 值分别为 0.811 和 0.753。
联合 MRI 和临床指标的模型可以预测髋关节受累的 axSpA 患者在 1 年内的治疗反应。