Lundberg Ingrid E, Tjärnlund Anna, Bottai Matteo, Werth Victoria P, Pilkington Clarissa, Visser Marianne de, Alfredsson Lars, Amato Anthony A, Barohn Richard J, Liang Matthew H, Singh Jasvinder A, Aggarwal Rohit, Arnardottir Snjolaug, Chinoy Hector, Cooper Robert G, Dankó Katalin, Dimachkie Mazen M, Feldman Brian M, Torre Ignacio Garcia-De La, Gordon Patrick, Hayashi Taichi, Katz James D, Kohsaka Hitoshi, Lachenbruch Peter A, Lang Bianca A, Li Yuhui, Oddis Chester V, Olesinska Marzena, Reed Ann M, Rutkowska-Sak Lidia, Sanner Helga, Selva-O'Callaghan Albert, Song Yeong-Wook, Vencovsky Jiri, Ytterberg Steven R, Miller Frederick W, Rider Lisa G
Rheumatology Unit, Department of Medicine, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden.
Institute for Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Ann Rheum Dis. 2017 Dec;76(12):1955-1964. doi: 10.1136/annrheumdis-2017-211468. Epub 2017 Oct 27.
To develop and validate new classification criteria for adult and juvenile idiopathic inflammatory myopathies (IIM) and their major subgroups.
Candidate variables were assembled from published criteria and expert opinion using consensus methodology. Data were collected from 47 rheumatology, dermatology, neurology and paediatric clinics worldwide. Several statistical methods were used to derive the classification criteria.
Based on data from 976 IIM patients (74% adults; 26% children) and 624 non-IIM patients with mimicking conditions (82% adults; 18% children), new criteria were derived. Each item is assigned a weighted score. The total score corresponds to a probability of having IIM. Subclassification is performed using a classification tree. A probability cut-off of 55%, corresponding to a score of 5.5 (6.7 with muscle biopsy) 'probable IIM', had best sensitivity/specificity (87%/82% without biopsies, 93%/88% with biopsies) and is recommended as a minimum to classify a patient as having IIM. A probability of ≥90%, corresponding to a score of ≥7.5 (≥8.7 with muscle biopsy), corresponds to 'definite IIM'. A probability of <50%, corresponding to a score of <5.3 (<6.5 with muscle biopsy), rules out IIM, leaving a probability of ≥50 to <55% as 'possible IIM'.
The European League Against Rheumatism/American College of Rheumatology (EULAR/ACR) classification criteria for IIM have been endorsed by international rheumatology, dermatology, neurology and paediatric groups. They employ easily accessible and operationally defined elements, and have been partially validated. They allow classification of 'definite', 'probable' and 'possible' IIM, in addition to the major subgroups of IIM, including juvenile IIM. They generally perform better than existing criteria.
制定并验证成人及青少年特发性炎性肌病(IIM)及其主要亚组的新分类标准。
采用共识方法,从已发表的标准和专家意见中收集候选变量。数据来自全球47个风湿病、皮肤病、神经病学和儿科诊所。使用多种统计方法得出分类标准。
基于976例IIM患者(74%为成人;26%为儿童)和624例有类似症状的非IIM患者(82%为成人;18%为儿童)的数据,得出了新的标准。每个项目都被赋予一个加权分数。总分对应患IIM的概率。使用分类树进行亚分类。概率阈值为55%,对应分数为5.5(肌肉活检时为6.7)表示“可能的IIM”,其敏感性/特异性最佳(无活检时为87%/82%,有活检时为93%/88%),建议将其作为将患者分类为患有IIM的最低标准。概率≥90%,对应分数≥7.5(肌肉活检时≥8.7)表示“确诊的IIM”。概率<50%,对应分数< 5.3(肌肉活检时<6.5)可排除IIM,概率≥50%至<55%为“可能的IIM”。
欧洲抗风湿病联盟/美国风湿病学会(EULAR/ACR)的IIM分类标准已得到国际风湿病学、皮肤病学、神经病学和儿科学组的认可。它们采用易于获取且操作定义明确的要素,并且已得到部分验证。除了IIM的主要亚组(包括青少年IIM)外,它们还允许对“确诊的”、“可能的”和“可能的”IIM进行分类。它们总体上比现有标准表现更好。