Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
Istituto Giannina Gaslini, Genova, Italy.
Ann Rheum Dis. 2019 Oct;78(10):1357-1362. doi: 10.1136/annrheumdis-2019-215211. Epub 2019 Jul 11.
To develop and validate a diagnostic score that aids in identifying macrophage activation syndrome (MAS) in patients with systemic juvenile idiopathic arthritis (sJIA).
The clinical and laboratory features of 362 patients with sJIA-associated MAS and 404 patients with active sJIA without evidence of MAS were collected in a multinational collaborative project. Eighty percent of the study population was used to develop the score and the remaining 20% constituted the validation sample. A Bayesian Model Averaging approach was used to assess the role of each clinical and laboratory variables in the diagnosis of MAS and to obtain the coefficients of selected variables. The final score, named MAS/sJIA (MS) score, resulted from the linear combination of these coefficients multiplied by the values of each variable. The cut-off that best discriminated MAS from active sJIA was calculated by means of receiver operating characteristic (ROC) curve analysis. Score performance was evaluated in both developmental and validation samples.
The MS score ranges from -8.4 to 41.8 and comprises seven variables: central nervous system dysfunction, haemorrhagic manifestations, active arthritis, platelet count, fibrinogen, lactate dehydrogenase and ferritin. A cut-off value ≥-2.1 revealed the best performance in discriminating MAS from active sJIA, with a sensitivity of 0.85, a specificity of 0.95 and a kappa value of 0.80. The good performance of the MS score was confirmed in the validation sample.
The MS score is a powerful and feasible tool that may assist practitioners in making a timely diagnosis of MAS in patients with sJIA.
开发并验证一种有助于识别系统性幼年特发性关节炎(sJIA)患者巨噬细胞活化综合征(MAS)的诊断评分。
在一项多中心合作项目中,收集了 362 例 sJIA 相关 MAS 患者和 404 例有活动但无 MAS 证据的 sJIA 患者的临床和实验室特征。研究人群的 80%用于开发评分,其余 20%构成验证样本。采用贝叶斯模型平均方法评估每个临床和实验室变量在 MAS 诊断中的作用,并获得选定变量的系数。最终评分命名为 MAS/sJIA(MS)评分,由这些系数的线性组合乘以每个变量的值组成。通过接收者操作特征(ROC)曲线分析计算最佳区分 MAS 与活动 sJIA 的截断值。在开发和验证样本中评估评分性能。
MS 评分范围为-8.4 至 41.8,包括七个变量:中枢神经系统功能障碍、出血表现、活动关节炎、血小板计数、纤维蛋白原、乳酸脱氢酶和铁蛋白。截断值≥-2.1 可最佳区分 MAS 与活动 sJIA,其敏感性为 0.85,特异性为 0.95,kappa 值为 0.80。MS 评分在验证样本中的性能良好。
MS 评分是一种强大且可行的工具,可帮助临床医生及时诊断 sJIA 患者的 MAS。