ArticleLupus science & medicine2024
Validating claims-based algorithms for a systemic lupus erythematosus diagnosis in Medicare data for informed use of the Lupus Index: a tool for geospatial research.
Article in Lupus science & medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- National trends in hospitalisation, in-hospital mortality and resource use for SLE in Spain from 2016 to 2022.Lupus science & medicine · 2026Article
- Autoimmune Disease Risk With GLP-1RA, DPP-4i, and SGLT2i Treatment in Patients With Diabetes.ACR open rheumatology · 2026Article
- Precision and contextualization in claims-based disease activity assessment for systemic lupus erythematosus in Korean populations.Journal of rheumatic diseases · 2026Article
- Increased prevalence, ER visits, and hospitalizations in medicare systemic lupus erythematosus patients living in socially vulnerable counties: A cross-sectional study.The American journal of the medical sciences · 2025Article
- A Systemic Lupus Erythematosus Incidence Surveillance Report Among DoD Beneficiaries During the COVID-19 Pandemic.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2025Article
- From acute injury to chronic comorbidity: Interrupted time series modeling of traumatic brain injury impact among post-9/11 veterans.PloS one · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
objectiveThis study aimed to validate claims-based algorithms for identifying SLE and lupus nephritis (LN) in Medicare data, enhancing the use of the Lupus Index for geospatial research on SLE prevalence and outcomes.
methodsWe retrospectively evaluated the performance of rule-based algorithms using the International Classification of Diseases, 10th Revision (ICD-10) codes to identify SLE and LN in a well-defined prospective longitudinal cohort of patients with and without SLE from a South Carolina registry and rheumatology outpatient clinics. The analysis included comparison of algorithms based on Medicare fee-for-service claims data to these rigorously phenotyped populations. The primary classification for SLE cases was based on the American College of Rheumatology and Systemic Lupus Erythematosus International Collaborating Clinics criteria for SLE and LN. Algorithms were based on the number of ICD-10 codes with and without a 30-day separation in the observation period, including all of 2016-2018.
resultsThe algorithm using two ICD-10 codes for SLE, with or without a 30-day separation, showed the best overall performance. For LN, specific ICD-10 codes outperformed combinations of SLE and renal/proteinuria codes that were found in ICD-9.
conclusionsThe findings of this study highlight the performance of specific ICD-10 code algorithms in identifying SLE and LN cases within Medicare data, providing a valuable tool for informing use of the Lupus Index. This index allows for improved geographical targeting of clinical resources, health disparity studies and clinical trial site selection. The study underscores the importance of algorithm selection based on research objectives, recommending more specific algorithms for precise tasks like clinical trial site identification and less specific ones for broader applications such as health disparities research.
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