Classification Criteria for Juvenile Idiopathic Arthritis-Associated Chronic Anterior Uveitis.
Classification Criteria for Juvenile Idiopathic Arthritis-Associated Chronic Anterior Uveitis.
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DOI：
10.1016/j.ajo.2021.03.055
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发表时间：
2021-08
影响因子：
4.2
通讯作者：
Standardization of Uveitis Nomenclature (SUN) Working Group
中科院分区：
文献类型：
--
作者：
Standardization of Uveitis Nomenclature (SUN) Working Group
目的：确定幼年特发性关节炎(JIA)相关性慢性前葡萄膜炎(CAU)的分类标准。JIA CAU及其他8例前葡萄膜炎病例的机器学习。前葡萄膜炎的病例被收集在信息学设计的初步数据库中，并使用正式的共识技术构建了病例的最终数据库，这些病例在诊断上取得了绝大多数的一致。案例被分成训练集和验证集。在训练集上使用多项Logistic回归的机器学习来确定一组简明的标准，以最大限度地减少前葡萄膜之间的误分率。在验证集上对结果标准进行评估。用机器学习方法对1,083例前葡萄膜瘤进行了评估，其中JIACAU 2 0 2例。训练集和验证集预测前葡萄膜膜的总准确率分别为97.5%和96.7%(95%可信区间为92.4，98.6)。JIA CAU的关键标准包括1)慢性前葡萄膜炎(或如果新诊断为潜伏性发病)和2)JIA，除了全身性、类风湿因子阳性的多发性关节炎和末端炎相关的关节炎变种。JIA CAU的误识率在训练集中为2.4%，在验证集中为0%。JIA CAU的标准错分率很低，似乎表现得足够好，可以用于临床和翻译研究。使用形式化方法制定分类标准，包括基于信息学的病例收集、基于共识技术的病例选择和机器学习，制定了幼年特发性关节炎(JIA)相关性慢性前葡萄膜炎的分类标准。关键标准包括1)慢性前葡萄膜炎(如果是新诊断，则为隐匿性发病)和2)选定的JIA亚型。由此产生的标准具有可接受的误分率。
To determine classification criteria for juvenile idiopathic arthritis (JIA)-associated chronic anterior uveitis (CAU). Machine learning of cases with JIA CAU and 8 other anterior uveitides. Cases of anterior uveitides were collected in an informatics-designed preliminary database, and a final database was constructed of cases achieving supermajority agreement on the diagnosis, using formal consensus techniques. Cases were split into a training set and a validation set. Machine learning using multinomial logistic regression was used on the training set to determine a parsimonious set of criteria that minimized the misclassification rate among the anterior uveitides. The resulting criteria were evaluated on the validation set. One thousand eighty-three cases of anterior uveitides, including 202 cases of JIA CAU, were evaluated by machine learning. The overall accuracy for anterior uveitides was 97.5% in the training set and 96.7% in the validation set (95% confidence interval 92.4, 98.6). Key criteria for JIA CAU included 1) chronic anterior uveitis (or if newly diagnosed insidious onset) and 2) JIA, except for the systemic, rheumatoid factor-positive polyarthritis, and enthesitis related arthritis variants. The misclassification rates for JIA CAU were 2.4% in the training set and 0% in the validation set, respectively. The criteria for JIA CAU had a low misclassification rate and appeared to perform well enough for use in clinical and translational research. Using a formalized approach to developing classification criteria, including informatics-based case collection, consensus-technique-based case selection, and machine learning, classification criteria for juvenile idiopathic arthritis (JIA)-associated chronic anterior uveitis were developed. Key criteria included 1) chronic (or insidious-onset if newly-diagnosed) anterior uveitis and 2) selected subsets of JIA. The resulting criteria had an acceptable misclassification rate.
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影响因子：
4.2
作者：
Standardization of Uveitis Nomenclature (SUN) Working Group
通讯作者：
Standardization of Uveitis Nomenclature (SUN) Working Group
影响因子：
1.7
作者：
Trusko B;Thorne J;Jabs D;Belfort R;Dick A;Gangaputra S;Nussenblatt R;Okada A;Rosenbaum J;Standardization of Uveitis Nomenclature (SUN) Project
通讯作者：
Standardization of Uveitis Nomenclature (SUN) Project
疾病改良的抗疾病药物在治疗少年特发性关节炎中的使用：CARRA注册中心的横断面分析。
DOI：
10.3899/jrheum.120110
发表时间：
2012-09
期刊：
The Journal of rheumatology
影响因子：
--
作者：
Beukelman T;Ringold S;Davis TE;DeWitt EM;Pelajo CF;Weiss PF;Kimura Y;CARRA Registry Investigators
通讯作者：
CARRA Registry Investigators
影响因子：
5.9
作者：
JABS, DA;HOUK, JL;ARNETT, FC
通讯作者：
ARNETT, FC
影响因子：
4.7
作者：
Angeles-Han, Sheila T.;Lo, Mindy S.;Rabinovich, C. Egla
通讯作者：
Rabinovich, C. Egla