The 2010 American College of Rheumatology/European League Against Rheumatism classification criteria for rheumatoid arthritis: Phase 2 methodological report.

The 2010 American College of Rheumatology/European League Against Rheumatism classification criteria for rheumatoid arthritis: Phase 2 methodological report.
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DOI:
10.1002/art.27580
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发表时间:
2010-09
影响因子:
--
通讯作者:
Hawker, Gillian
Hawker, Gillian
中科院分区:
其他
文献类型:
--
作者:
Neogi, Tuhina;Aletaha, Daniel;Silman, Alan J.;Naden, Raymond L.;Felson, David T.;Aggarwal, Rohit;Bingham, Clifton O., III;Birnbaum, Neal S.;Burmester, Gerd R.;Bykerk, Vivian P.;Cohen, Marc D.;Combe, Bernard;Costenbader, Karen H.;Dougados, Maxime;Emery, Paul;Ferraccioli, Gianfranco;Hazes, Johanna M. W.;Hobbs, Kathryn;Huizinga, Tom W. J.;Kavanaugh, Arthur;Kay, Jonathan;Khanna, Dinesh;Kvien, Tore K.;Laing, Timothy;Liao, Katherine;Mease, Philip;Menard, Henri A.;Moreland, Larry W.;Nair, Raj;Pincus, Theodore;Ringold, Sarah;Smolen, Josef S.;Stanislawska-Biernat, Ewa;Symmons, Deborah;Tak, Paul P.;Upchurch, Katherine S.;Vencovsky, Jiri;Wolfe, Frederick;Hawker, Gillian

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美国风湿病学会和欧洲抗风湿病联盟制定了新的类风湿关节炎(RA)分类标准。开发过程第2阶段的目标是就临床和实验室变量达成专家共识,这些变量应有助于最终标准集。24名RA专家临床医生(12名来自欧洲,12名来自北美)参加了第二阶段的研究。采用基于共识的决策分析方法来确定影响“发展为类风湿性关节炎”概率的因素(及其相对权重),并辅以第一阶段研究的数据。患者病例情景被用来识别和达成共识的重要因素,在确定RA发展的可能性。使用决策分析软件,采用基于选择的联合分析,得出每个因素及其类别的相对权重。专家小组一致认为,新的分类标准应适用于未分化炎性关节炎患者,其中至少有一个关节被专家评估者认为是肿胀的,表明明确的滑膜炎。在这个临床环境中,他们确定了4个重要的附加标准:受累关节的数量和受累部位、血清学异常、急性期反应和受累关节症状的持续时间。这些标准与第一阶段数据驱动方法中确定的标准一致。第二阶段使用的基于共识的决策分析方法补充了第一阶段的工作。这四个标准及其相对权重构成了最终标准集的基础。
The American College of Rheumatology and the European League Against Rheumatism have developed new classification criteria for rheumatoid arthritis (RA). The aim of Phase 2 of the development process was to achieve expert consensus on the clinical and laboratory variables that should contribute to the final criteria set. Twenty-four expert RA clinicians (12 from Europe and 12 from North America) participated in Phase 2. A consensus-based decision analysis approach was used to identify factors (and their relative weights) that influence the probability of “developing RA,” complemented by data from the Phase 1 study. Patient case scenarios were used to identify and reach consensus on factors important in determining the probability of RA development. Decision analytic software was used to derive the relative weights for each of the factors and their categories, using choice-based conjoint analysis. The expert panel agreed that the new classification criteria should be applied to individuals with undifferentiated inflammatory arthritis in whom at least 1 joint is deemed by an expert assessor to be swollen, indicating definite synovitis. In this clinical setting, they identified 4 additional criteria as being important: number of joints involved and site of involvement, serologic abnormality, acute-phase response, and duration of symptoms in the involved joints. These criteria were consistent with those identified in the Phase 1 data-driven approach. The consensus-based, decision analysis approach used in Phase 2 complemented the Phase 1 efforts. The 4 criteria and their relative weights form the basis of the final criteria set.
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