Publicação
2022 American College of Rheumatology/EULAR classification criteria for giant cell arteritis
| dc.contributor.author | Ponte, Cristina | |
| dc.contributor.author | Grayson, Peter C. | |
| dc.contributor.author | Robson, Joanna C. | |
| dc.contributor.author | Suppiah, Ravi | |
| dc.contributor.author | Gribbons, Katherine Bates | |
| dc.contributor.author | Judge, Andrew | |
| dc.contributor.author | Craven, Anthea | |
| dc.contributor.author | Khalid, Sara | |
| dc.contributor.author | Hutchings, Andrew | |
| dc.contributor.author | Watts, Richard A. | |
| dc.contributor.author | Merkel, Peter A. | |
| dc.contributor.author | Luqmani, Raashid A. | |
| dc.date.accessioned | 2022-11-22T12:27:14Z | |
| dc.date.available | 2022-11-22T12:27:14Z | |
| dc.date.issued | 2022 | |
| dc.description | © Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ. | pt_PT |
| dc.description.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 six 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/L (+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% CI 0.88 to 0.94) with a sensitivity of 87.0% (95% CI 82.0% to 91.0%) and specificity of 94.8% (95% CI 91.0% to 97.4%). Conclusion: The 2022 American College of Rheumatology/EULAR GCA classification criteria are now validated for use in clinical research. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Ann Rheum Dis. 2022 Dec;81(12):1647-1653 | pt_PT |
| dc.identifier.doi | 10.1136/ard-2022-223480 | pt_PT |
| dc.identifier.eissn | 1468-2060 | |
| dc.identifier.issn | 0003-4967 | |
| dc.identifier.uri | http://hdl.handle.net/10451/55197 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | BMJ Publishing Group | pt_PT |
| dc.relation.publisherversion | https://ard.bmj.com/ | pt_PT |
| dc.subject | Giant cell arteritis | pt_PT |
| dc.subject | Magnetic resonance imaging | pt_PT |
| dc.subject | Systemic vasculitis. | pt_PT |
| dc.title | 2022 American College of Rheumatology/EULAR classification criteria for giant cell arteritis | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 1653 | pt_PT |
| oaire.citation.issue | 12 | pt_PT |
| oaire.citation.startPage | 1647 | pt_PT |
| oaire.citation.title | Annals of the Rheumatic Diseases | pt_PT |
| oaire.citation.volume | 81 | pt_PT |
| person.familyName | Ponte | |
| person.givenName | Cristina | |
| person.identifier.ciencia-id | 3713-901B-4493 | |
| person.identifier.orcid | 0000-0002-3989-1192 | |
| rcaap.rights | restrictedAccess | pt_PT |
| rcaap.type | article | pt_PT |
| relation.isAuthorOfPublication | 22483f4f-a4d7-48f5-9fae-cc5ae926528a | |
| relation.isAuthorOfPublication.latestForDiscovery | 22483f4f-a4d7-48f5-9fae-cc5ae926528a |