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The bm12 Inducible Model of Systemic Lupus Erythematosus SLE in C57BL/6 Mice
Published on: November 1, 2015
Evaluating the Applicability of the EULAR/ACR 2019, SLICC 2012, and ACR 1997 Classification Criteria for Systemic
Jingyi Qiao1, Yanan Ma1, Xinyue Zhang2
1J. Qiao, BMed, Y. Ma,BMed, S. Qureshi, BMed, X. Ma, PhD, Department of Pediatrics, The First Hospital of China Medical University, Shenyang.
Objective:
Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that affects approximately 15% to 20% of patients during childhood at initial onset. In childhood-onset SLE (cSLE), clinical manifestations are not typical in the early stages; therefore, cSLE-specific classification criteria are lacking, making diagnosis difficult. To evaluate suitable classification criteria for these patients, we conducted a multicenter cohort study to compare the practicability of the European Alliance of Associations for Rheumatology (EULAR)/American College of Rheumatology (ACR) 2019, Systemic Lupus International Collaborating Clinics (SLICC) 2012, and the ACR1997 classification criteria for SLE.
Methods:
There were patients from 3 different regions, including children with cSLE (n = 348), a pediatric control group (n = 59), adults with SLE (n = 80), and an adult control group (n = 76). Sensitivity, specificity, and area under the curve (AUC) values for the EULAR/ACR 2019, SLICC 2012, and ACR 1997 classification criteria were calculated. Serial and parallel tests were conducted, and data were compared after adjusting for the EULAR/ACR 2019 classification criteria score thresholds.
Results:
There were 348 cases with a firmly established clinical diagnosis of cSLE (83.62% female) included. Among children with SLE, the ACR 1997 criteria showed the highest specificity (98.31%, 95% CI 90.9-100%), whereas SLICC 2012 criteria had the highest sensitivity (94.54%, 95% CI 91.6-96.7%). In comprehensive comparisons, the EULAR/ACR 2019 criteria yielded the highest AUC (0.944) and Youden index (0.89) values. Parallel testing using the SLICC 2012 or EULAR/ACR 2019 criteria for cSLE achieved the highest AUC (0.962) and increased sensitivity to 99.14%. Finally, a EULAR/ACR 2019 score of 10 (cSLE cutoff) produced the highest AUC (0.953, 95% CI 0.93-0.97).
Conclusion:
The EULAR/ACR 2019 criteria were the most appropriate for diagnosing cSLE. Moreover, parallel testing using the SLICC 2012 or EULAR/ACR 2019 criteria enhanced diagnostic sensitivity. In addition, a total EULAR/ACR 2019 score of ≥ 10 was appropriate for classifying cSLE. Our findings provide a basis for determining the most appropriate diagnostic strategy for children with SLE.
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