Ponte Cristina, Grayson Peter C, Robson Joanna C, Suppiah Ravi, Gribbons Katherine Bates, Judge Andrew, Craven Anthea, Khalid Sara, Hutchings Andrew, Watts Richard A, Merkel Peter A, Luqmani Raashid A
Department of Rheumatology, Centro Hospitalar Universitário Lisboa Norte, Centro Académico de Medicina de Lisboa, Lisbon, Portugal, and Rheumatology Research Unit, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Centro Académico de Medicina de Lisboa, Lisbon, Portugal.
Systemic Autoimmunity Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, NIH, Bethesda, Maryland.
Arthritis Rheumatol. 2022 Dec;74(12):1881-1889. doi: 10.1002/art.42325. Epub 2022 Nov 8.
To develop and validate updated classification criteria for giant cell arteritis (GCA).
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.
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%).
The 2022 American College of Rheumatology/EULAR GCA classification criteria are now validated for use in clinical research.
制定并验证巨细胞动脉炎(GCA)的更新分类标准。
将血管炎或对照疾病患者纳入国际队列研究。该研究分6个阶段进行:1)确定候选项目;2)前瞻性收集诊断时存在的候选项目;3)专家小组对病例进行审查;4)基于数据减少候选项目;5)在开发数据集中推导基于点数的风险分类评分;6)在独立数据集中进行验证。
开发数据集包括518例GCA病例和536例对照。验证数据集包括238例GCA病例和213例对照。诊断时年龄≥50岁是分类的绝对必要条件。最终标准项目及权重如下:颞动脉活检阳性或超声显示颞动脉晕征(+5);红细胞沉降率≥50毫米/小时或C反应蛋白≥10毫克/升(+3);突然视力丧失(+3);肩部或颈部晨僵、颌部或舌部跛行、新发颞部头痛、头皮压痛、血管检查时颞动脉异常、影像学检查显示双侧腋窝受累以及主动脉全程氟脱氧葡萄糖正电子发射断层扫描活性(每项+2)。累积评分≥6分的患者可被分类为患有GCA。在验证数据集中对这些标准进行测试时,模型曲线下面积为0.91(95%置信区间[95%CI]0.88 - 0.94),敏感性为87.0%(95%CI 82.0 - 91.0%),特异性为94.8%(95%CI 91.0 - 97.4%)。
2022年美国风湿病学会/欧洲抗风湿病联盟GCA分类标准现已验证可用于临床研究。