Lupus & antiphospholipid syndrome

Identification and assessment of classification criteria attributes for systemic lupus erythematosus in a regional medical record data network

Lupus Sci MedPublished Retrospective cohort study

Main finding · Number of positive SLE attributes from the 2012 SLICC criteria setResult — go to the resultTimes the number (Poisson regression) 2.77 CI 2.73–2.80

Authors' conclusion

The positive association observed between amount of SLE-related clinical encounters and the number of criteria domains detected suggests that the algorithms used in this study can be used to help describe SLE features in this data environment.

Study context

Population
Patients with at least one positively identified criterion from the 1997 American College of Rheumatology (ACR), 2012 Systemic Lupus International Collaborating Clinics (SLICC) or 2019 EULAR/ACR SLE classification criteria sets in the CAPriCORN Clinical Data Research Network, Chicago
Exposure
Patients with three or more SLE encounters vs patients without an SLE encounter; data from all CAPriCORN sites vs a single site
Outcome
Number of positively identified SLE criteria domains by number of clinical encounters for SLE (Poisson regression)
Methodological detailsmultisite, electronic health record (EHR)-based algorithms, Poisson regression
  • Multisite
  • EHR-based algorithms
  • Poisson regression

Main finding

As reported in the abstract

Number of positive SLE attributes from the 2012 SLICC criteria set

Times the number (Poisson regression)

2.77

CI 2.73–2.80

Observational data: associations, not effects.

Further findings

OutcomeP value
SLICC criteria domains identified, all CAPriCORN sites vs a single site (patients with ≥3 SLE-related encounters and care from multiple institutions)P < 0.05
  • SLICC criteria domains identified, all CAPriCORN sites vs a single site (patients with ≥3 SLE-related encounters and care from multiple institutions): more SLICC criteria domains identified with data from all sites

Original publication

Identification and assessment of classification criteria attributes for systemic lupus erythematosus in a regional medical record data network. Lupus Sci Med. Published 19 October 2023. doi:10.1136/lupus-2023-000963

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