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. 2022 Dec;74(12):1881-1889.
doi: 10.1002/art.42325. Epub 2022 Nov 8.

2022 American College of Rheumatology/EULAR Classification Criteria for Giant Cell Arteritis

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2022 American College of Rheumatology/EULAR Classification Criteria for Giant Cell Arteritis

Cristina Ponte et al. Arthritis Rheumatol. 2022 Dec.

Abstract

Objective: To develop and validate updated classification criteria for giant cell arteritis (GCA).

Methods: Patients with vasculitis or comparator diseases were recruited into an international cohort. The study proceeded in 6 phases: 1) identification of candidate items, 2) prospective collection of candidate items present at the time of diagnosis, 3) expert panel review of cases, 4) data-driven reduction of candidate items, 5) derivation of a points-based risk classification score in a development data set, and 6) validation in an independent data set.

Results: The development data set consisted of 518 cases of GCA and 536 comparators. The validation data set consisted of 238 cases of GCA and 213 comparators. Age ≥50 years at diagnosis was an absolute requirement for classification. The final criteria items and weights were as follows: positive temporal artery biopsy or temporal artery halo sign on ultrasound (+5); erythrocyte sedimentation rate ≥50 mm/hour or C-reactive protein ≥10 mg/liter (+3); sudden visual loss (+3); morning stiffness in shoulders or neck, jaw or tongue claudication, new temporal headache, scalp tenderness, temporal artery abnormality on vascular examination, bilateral axillary involvement on imaging, and fluorodeoxyglucose-positron emission tomography activity throughout the aorta (+2 each). A patient could be classified as having GCA with a cumulative score of ≥6 points. When these criteria were tested in the validation data set, the model area under the curve was 0.91 (95% confidence interval [95% CI] 0.88-0.94) with a sensitivity of 87.0% (95% CI 82.0-91.0%) and specificity of 94.8% (95% CI 91.0-97.4%).

Conclusion: The 2022 American College of Rheumatology/EULAR GCA classification criteria are now validated for use in clinical research.

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