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.
2022 American College of Rheumatology/EULAR Classification Criteria for Giant Cell Arteritis / 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.; DCVAS Study Group: Paul Gatenby, Catherine Hill, Dwarakanathan Ranganathan, Andreas Kronbichler, Daniel Blockmans, Lillian Barra, Simon Carette, Christian Pagnoux, Navjot Dhindsa, Aurore Fifi-Mah, Nader Khalidi, Patrick Liang, Nataliya Milman, Christian Pineau, Xinping Tian, Guochun Wang, Tian Wang, Ming-Hui Zhao, Vladimir Tesar, Bo Baslund, Nevin Hammam, Amira Shahin, Laura Pirila, Jukka Putaala, Bernhard Hellmich, Jörg Henes, Julia Holle, Frank Moosig, Peter Lamprecht, Thomas Neumann, Wolfgang Schmidt, Cord Sunderkoetter, Zoltan Szekanecz, Debashish Danda, Siddharth Das, Rajiva Gupta, Liza Rajasekhar, Aman Sharma, Shrikant Wagh, Michael Clarkson, Eamonn Molloy, Carlo Salvarani, Franco Schiavon, Enrico Tombetti, Augusto Vaglio, Koichi Amano, Yoshihiro Arimura, Hiroaki Dobashi, Shouichi Fujimoto, Masayoshi Harigai, Fumio Hirano, Junichi Hirahashi, Sakae Honma, Tamihiro Kawakami, Shigeto Kobayashi, Hajime Kono, Hirofumi Makino, Kazuo Matsui, Eri Muso, Kazuo Suzuki, Kei Ikeda, Tsutomu Takeuchi, Tatsuo Tsukamoto, Shunya Uchida, Takashi Wada, Hidehiro Yamada, Kunihiro Yamagata, Wako Yumura, Kan Sow Lai, Luis Felipe Flores-Suarez, Andrea Hinojosa-Azaola, Bram Rutgers, Paul-Peter Tak, Rebecca Grainger, Vicki Quincey, Lisa Stamp, Ravi Suppiah, Emilio Besada, Andreas Diamantopoulos, Jan Sznajd, Elsa Azevedo, Ruth Geraldes, Miguel Rodrigues, Ernestina Santos, Yeong-Wook Song, Sergey Moiseev, Alojzija Hočevar, Maria Cinta Cid, Xavier Solanich Moreno, Inoshi Atukorala, Ewa Berglin, Aladdin Mohammed, Mårten Segelmark, Thomas Daikeler, Haner Direskeneli, Gulen Hatemi, Sevil Kamali, Ömer Karadağ, Seval Pehlevan, Matthew Adler, Neil Basu, Iain Bruce, Kuntal Chakravarty, Bhaskar Dasgupta, Oliver Flossmann, Nagui Gendi, Alaa Hassan, Rachel Hoyles, David Jayne, Colin Jones, Rainer Klocke, Peter Lanyon, Cathy Laversuch, Raashid Luqmani, Joanna Robson, Malgorzata Magliano, Justin Mason, Win Win Maw, Iain McInnes, John Mclaren, Matthew Morgan, Ann Morgan, Chetan Mukhtyar, Edmond O'Riordan, Sanjeev Patel, Adrian Peall, Joanna Robson, Srinivasan Venkatachalam, Erin Vermaak, Ajit Menon, Richard Watts, Chee-Seng Yee, Daniel Albert, Leonard Calabrese, Sharon Chung, Lindsy Forbess, Angelo Gaffo, Ora Gewurz-Singer, Peter Grayson, Kimberly Liang, Eric Matteson, Peter A Merkel, Rennie Rhee, Jason Springer, Antoine Sreih. - In: ARTHRITIS & RHEUMATOLOGY. - ISSN 2326-5191. - ELETTRONICO. - 74:(2022), pp. 1881-1889. [10.1002/art.42325]
2022 American College of Rheumatology/EULAR Classification Criteria for Giant Cell Arteritis
Augusto Vaglio;
2022
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.I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.