Lupus & antiphospholipid syndrome
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
Authors' conclusion
The 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.
Study context
- Population
- Prospective longitudinal cohort of patients with and without SLE from a South Carolina registry and rheumatology outpatient clinics; Medicare claims 2016–2018
- Comparison
- Claims-based ICD-10 algorithms vs ACR and SLICC criteria-based classification in a phenotyped cohort
- Outcome
- Performance of claims-based algorithms for identifying SLE and LN against ACR and SLICC criteria
Methodological detailsretrospective evaluation, rule-based ICD-10 algorithms, Medicare fee-for-service claims
- Retrospective evaluation
- Rule-based ICD-10 algorithms
- Medicare fee-for-service claims
Performance
As reported in the abstract
- Two ICD-10 codes for SLE, with or without a 30-day separation, showed the best overall performance
- For lupus nephritis (LN), specific ICD-10 codes outperformed combinations of SLE and renal/proteinuria codes found in ICD-9
Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.
Original publication
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. Lupus Sci Med. Published 14 October 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →