2016 American College of Rheumatology/European League Against Rheumatism classification criteria for primary Sjögren's syndrome

医学 风湿病 痹症科 内科学 联盟 皮肤病科 家庭医学 天文 物理
作者
Caroline H. Shiboski,Stephen Shiboski,Raphaèle Séror,Lindsey A. Criswell,Marc Labétoulle,Thomas M. Lietman,Astrid Rasmussen,R. Hal Scofield,Claudio Vitali,Simon Bowman,Xavier Mariette
出处
期刊:Annals of the Rheumatic Diseases [BMJ]
卷期号:76 (1): 9-16 被引量:1133
标识
DOI:10.1136/annrheumdis-2016-210571
摘要

Objectives

To develop and validate an international set of classification criteria for primary Sjögren9s syndrome (SS) using guidelines from the American College of Rheumatology (ACR) and the European League Against Rheumatism (EULAR). These criteria were developed for use in individuals with signs and/or symptoms suggestive of SS.

Methods

We assigned preliminary importance weights to a consensus list of candidate criteria items, using multi-criteria decision analysis. We tested and adapted the resulting draft criteria using existing cohort data on primary SS cases and non-SS controls, with case/non-case status derived from expert clinical judgement. We then validated the performance of the classification criteria in a separate cohort of patients.

Results

The final classification criteria are based on the weighted sum of five items: anti-SSA/Ro antibody positivity and focal lymphocytic sialadenitis with a focus score of ≥1 foci/4 mm2, each scoring 3; an abnormal Ocular Staining Score of ≥5 (or van Bijsterveld score of ≥4), a Schirmer9s test result of ≤5 mm/5 min and an unstimulated salivary flow rate of ≤0.1 mL/min, each scoring 1. Individuals with signs and/or symptoms suggestive of SS who have a total score of ≥4 for the above items meet the criteria for primary SS. Sensitivity and specificity against clinician-expert—derived case/non-case status in the final validation cohort were high, that is, 96% (95% CI92% to 98%) and 95% (95% CI 92% to 97%), respectively.

Conclusion

Using methodology consistent with other recent ACR/EULAR-approved classification criteria, we developed a single set of data-driven consensus classification criteria for primary SS, which performed well in validation analyses and are well suited as criteria for enrolment in clinical trials.
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