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2022 American college of rheumatology/EULAR classification criteria for giant cell arteritis

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dc.contributor.authorDİRESKENELİ, RAFİ HANER
dc.contributor.authorsPonte C., Grayson P. C., Robson J. C., Gribbons K. B., Judge A., Craven A., Khalid S., Hutchings A., Watts R. A., Merkel P. A., et al.
dc.date.accessioned2023-11-20T08:29:21Z
dc.date.available2023-11-20T08:29:21Z
dc.date.issued2022-12-01
dc.description.abstractObjective: 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.
dc.identifier.citationPonte C., Grayson P. C., Robson J. C., Gribbons K. B., Judge A., Craven A., Khalid S., Hutchings A., Watts R. A., Merkel P. A., et al., "2022 American College of Rheumatology/EULAR Classification Criteria for Giant Cell Arteritis", Arthritis and Rheumatology, cilt.74, sa.12, ss.1881-1889, 2022
dc.identifier.doi10.1002/art.42325
dc.identifier.endpage1889
dc.identifier.issn2326-5191
dc.identifier.issue12
dc.identifier.startpage1881
dc.identifier.urihttps://avesis.marmara.edu.tr/api/publication/f9b47698-7a8c-4321-84da-ca337659cf0b/file
dc.identifier.urihttps://hdl.handle.net/11424/294985
dc.identifier.volume74
dc.language.isoeng
dc.relation.ispartofArthritis and Rheumatology
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectTıp
dc.subjectDahili Tıp Bilimleri
dc.subjectİç Hastalıkları
dc.subjectİmmünoloji ve Romatoloji
dc.subjectYaşam Bilimleri
dc.subjectSağlık Bilimleri
dc.subjectTemel Bilimler
dc.subjectMedicine
dc.subjectInternal Medicine Sciences
dc.subjectInternal Diseases
dc.subjectImmunology and Rheumatology
dc.subjectLife Sciences
dc.subjectHealth Sciences
dc.subjectNatural Sciences
dc.subjectKlinik Tıp (MED)
dc.subjectYaşam Bilimleri (LIFE)
dc.subjectKlinik Tıp
dc.subjectİmmünoloji
dc.subjectALERJİ
dc.subjectROMATOLOJİ
dc.subjectClinical Medicine (MED)
dc.subjectLife Sciences (LIFE)
dc.subjectCLINICAL MEDICINE
dc.subjectIMMUNOLOGY
dc.subjectALLERGY
dc.subjectRHEUMATOLOGY
dc.subjectİmmünoloji ve Alerji
dc.subjectRomatoloji
dc.subjectImmunology and Allergy
dc.subjectRheumatology
dc.subjectImmunology
dc.title2022 American college of rheumatology/EULAR classification criteria for giant cell arteritis
dc.typearticle
dspace.entity.typePublication
local.avesis.idf9b47698-7a8c-4321-84da-ca337659cf0b
local.indexed.atPUBMED
local.indexed.atSCOPUS
relation.isAuthorOfPublicationd63c059c-cb70-4f22-b278-5eafbbbe7e25
relation.isAuthorOfPublication.latestForDiscoveryd63c059c-cb70-4f22-b278-5eafbbbe7e25

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