Abstract
Objectives
To explore the performance of laboratory items alone in systemic lupus erythematosus (SLE) classification.
Methods
Our cohort consisted of 352 and 385 (control) patients with and without SLE. This study evaluated the performance of the American College of Rheumatology (ACR)-1997, Systemic Lupus International Collaborating Clinics (SLICC)-2012, European League Against Rheumatism (EULAR)/ACR-2019, and Systemic Lupus Erythematosus Risk Probability Index (SLERPI) using laboratory items alone, including blood and urine test results.
Results
The median ratio of laboratory items/total items was 66.7%, 75.0%, 60.4%, and 77.4% in ACR-1997, SLICC-2012, EULAR/ACR-2019, and SLERPI, respectively. After including laboratory items alone, the sensitivity of ACR-1997, SLICC-2012, EULAR/ACR-2019, and SLERPI was 31.3% (95% confidence interval [CI]: 26.4%–36.4%), 79.8% (95% CI: 75.3%–83.9%), 75.9% (95% CI: 71.0%–80.2%), and 85.2% (95% CI: 81.1%–88.8%), respectively. We referenced the SLERPI and removed the additional restrictions, i.e., SLICC-2012 criteria only needs to fulfill at least four items (mSLICC-2012) and EULAR/ACR-2019 criteria needs to have ≥ 10 points (mEULAR/ACR-2019) to qualify for SLE classification. The mSLICC-2012 and mEULAR/ACR-2019 criteria, including laboratory items alone, newly identified 13 and 25 patients, respectively. Based on laboratory items alone, the combination of mSLICC-2012, mEULAR/ACR-2019, and SLERPI identified 348 patients with an improved sensitivity of 90.6% (95% CI: 87.1%–93.5%). Patients, who were classified according to the mEULAR/ACR-2019 criteria, all met the other criteria.
Conclusion
Incorporating laboratory items alone was clinically feasible to help identify SLE. SLERPI and SLICC-2012, using laboratory items alone, were more worthwhile to promote in the clinic compared with EULAR/ACR-2019.
Key Points |
• Laboratory items play a crucial role in the SLE classification criteria, and incorporating laboratory items alone was clinically feasible to help in the identification of SLE. |
• The SLERPI and SLICC-2012, using laboratory items alone, were more worthwhile to promote in the clinic compared with EULAR/ACR-2019, and the combination of the two could further improve the sensitivity. |
• The relative simplicity of evaluating laboratory indices may help nonrheumatologists and inexperienced rheumatologists to identify SLE more quickly, thereby reducing the risk of delayed diagnosis in patients. |
Similar content being viewed by others
Data availability
The datasets used and/or analyzed during this study are available from the corresponding author upon reasonable request.
References
Kiriakidou M, Ching CL (2020) Systemic Lupus Erythematosus. Ann Intern Med 172(11):ITC81-81ITC96. https://doi.org/10.7326/AITC202006020
Kent T, Davidson A, Newman D, Buck G, D’Cruz D (2017) Burden of illness in systemic lupus erythematosus: results from a UK patient and carer online survey. Lupus 26(10):1095–1100. https://doi.org/10.1177/0961203317698594
Kernder A, Richter JG, Fischer-Betz R et al (2021) Delayed diagnosis adversely affects outcome in systemic lupus erythematosus: Cross sectional analysis of the LuLa cohort. Lupus 30(3):431–438. https://doi.org/10.1177/0961203320983445
Hochberg MC (1997) Updating the American College of Rheumatology revised criteria for the classification of systemic lupus erythematosus. Arthritis Rheum 40(9):1725. https://doi.org/10.1002/art.1780400928
Petri M, Orbai AM, Alarcón GS et al (2012) Derivation and validation of the Systemic Lupus International Collaborating Clinics classification criteria for systemic lupus erythematosus. Arthritis Rheum 64(8):2677–2686. https://doi.org/10.1002/art.34473
Aringer M, Costenbader K, Daikh D et al (2019) 2019 European League Against Rheumatism/American College of Rheumatology classification criteria for systemic lupus erythematosus. Ann Rheum Dis 78(9):1151–1159. https://doi.org/10.1136/annrheumdis-2018-214819
Adamichou C, Genitsaridi I, Nikolopoulos D et al (2021) Lupus or not? SLE Risk Probability Index (SLERPI): a simple, clinician-friendly machine learning-based model to assist the diagnosis of systemic lupus erythematosus. Ann Rheum Dis 80(6):758–766. https://doi.org/10.1136/annrheumdis-2020-219069
Almoallim H, Khojah E, Allehebi R, Noorwali A (2007) Delayed diagnosis of systemic lupus erythematosus due to lack of competency skills in musculoskeletal examination. Clin Rheumatol 26(1):131–133. https://doi.org/10.1007/s10067-006-0225-2
Zhang L, Lu W, Yan D, Liu Z, Xue L (2023) Systemic Lupus Erythematosus Risk Probability Index: ready for routine use? Results from a Chinese cohort. Lupus Sci Med 10(2):e000988. https://doi.org/10.1136/lupus-2023-000988
Lu W, Zhong Y, Weng C, et al (2022) Utility of the ACR-1997, SLICC-2012 and EULAR/ACR-2019 classification criteria for systemic lupus erythematosus: a single centre retrospective study. Lupus Sci Med 9(1):e000718. https://doi.org/10.1136/lupus-2022-000718
Chen Z, Zhong H, Dong G (2019) Thrombocytopenia as a Prognostic Marker for Systemic Lupus Erythematosus: A Systematic Review and Meta-analysis. Am J Med Sci 357(6):461–467. https://doi.org/10.1016/j.amjms.2019.03.002
Croca SC, Rodrigues T, Isenberg DA (2011) Assessment of a lupus nephritis cohort over a 30-year period. Rheumatology (Oxford) 50(8):1424–1430. https://doi.org/10.1093/rheumatology/ker101
Kapsala N, Nikolopoulos D, Flouda S et al (2022) First Diagnosis of Systemic Lupus Erythematosus in Hospitalized Patients: Clinical Phenotypes and Pitfalls for the Non-Specialist. Am J Med 135(2):244-253.e3. https://doi.org/10.1016/j.amjmed.2021.07.015
Nikpour M, Bridge JA, Richter S (2014) A systematic review of prevalence, disease characteristics and management of systemic lupus erythematosus in Australia: identifying areas of unmet need. Intern Med J 44(12a):1170–1179. https://doi.org/10.1111/imj.12568
Lu W, Zhong Y, Zhang Y, Liu Z, Xue L (2021) The Clinical Characteristics of Leukopenia in Patients with Systemic Lupus Erythematosus of Han Ethnicity in China: A Cross-Sectional Study. Rheumatol Ther 8(3):1177–1188. https://doi.org/10.1007/s40744-021-00336-6
Jiang Y, Cheng Y, Ma S et al (2022) Systemic lupus erythematosus-complicating immune thrombocytopenia: From pathogenesis to treatment. J Autoimmun 132:102887. https://doi.org/10.1016/j.jaut.2022.102887
Zhu FX, Huang JY, Ye Z, Wen QQ, Wei JC (2020) Risk of systemic lupus erythematosus in patients with idiopathic thrombocytopenic purpura: a population-based cohort study. Ann Rheum Dis 79(6):793–799. https://doi.org/10.1136/annrheumdis-2020-217013
Ahn SM, Choi EJ, Oh JS et al (2022) Prognostic factors for the development of systemic lupus erythematosus in patients with immune thrombocytopenia. Arthritis Res Ther 24(1):213. https://doi.org/10.1186/s13075-022-02901-y
Guimarães J, Furtado S, Lucas A, Mori B, Barcellos J (2022) Diagnostic test accuracy of novel biomarkers for lupus nephritis-An overview of systematic reviews. PLoS ONE 17(10):e0275016. https://doi.org/10.1371/journal.pone.0275016
Anders HJ, Saxena R, Zhao MH, Parodis I, Salmon JE, Mohan C (2020) Lupus nephritis. Nat Rev Dis Primers 6(1):7. https://doi.org/10.1038/s41572-019-0141-9
Adamichou C, Nikolopoulos D, Genitsaridi I et al (2020) In an early SLE cohort the ACR-1997, SLICC-2012 and EULAR/ACR-2019 criteria classify non-overlapping groups of patients: use of all three criteria ensures optimal capture for clinical studies while their modification earlier classification and treatment. Ann Rheum Dis 79(2):232–241. https://doi.org/10.1136/annrheumdis-2019-216155
Acknowledgements
We would like to thank all participants and staff in the Department of Rheumatology and Immunology, the Second Affiliated Hospital of Soochow University.
Funding
This study was funded by the Suzhou Science and Technology Project (SKJY2021098), the Suzhou Gusu Health Talent Plan (2022194), and Pre-research fund of the Second Affiliated Hospital of Soochow University (SDFEYJGL2102).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Disclosures
None.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Zhang, L., Ma, J., Yan, D. et al. Classifying systemic lupus erythematosus using laboratory items alone: a preliminary study. Clin Rheumatol 43, 1037–1043 (2024). https://doi.org/10.1007/s10067-024-06893-9
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10067-024-06893-9