Validation of the 2019 EULAR/ACR classification criteria for systemic lupus erythematosus in ANA-positive Chinese

Yuen Kwan Chung1, Ling Yin Ho1, Carolyn Lee2

  • 1Department of Medicine, Tuen Mun Hospital, Tuen Mun, Hong Kong SAR, China.

Insights

The 2019 EULAR/ACR classification criteria for systemic lupus erythematosus (SLE) show high performance in Chinese patients. These criteria are as effective as SLICC criteria and more sensitive than ACR criteria for diagnosing SLE in ANA-positive individuals.

Area of Science:

  • Rheumatology
  • Immunology
  • Clinical Diagnostics

Background:

  • Systemic lupus erythematosus (SLE) diagnosis relies on classification criteria.
  • The 2019 European League Against Rheumatism/American College of Rheumatology (EULAR/ACR) criteria were developed to improve SLE classification.
  • Validation in diverse populations, such as Chinese patients, is crucial for global applicability.

Purpose of the Study:

  • To validate the 2019 EULAR/ACR classification criteria for SLE.
  • To assess the performance of EULAR/ACR criteria in antinuclear antibody (ANA)-positive Chinese patients.
  • To compare the EULAR/ACR criteria with existing SLICC and ACR criteria in this cohort.

Main Methods:

  • Retrospective review of medical records of adult patients attending rheumatology clinics (May-September 2019).
  • Inclusion of patients with ANA positivity (titer ≥1:80).
  • Evaluation of patients against 2019 EULAR/ACR, 2012 SLICC, and 1997 ACR criteria for SLE classification.

Main Results:

  • 1533 patients were studied; 562 were diagnosed with clinical SLE.
  • The 2019 EULAR/ACR criteria demonstrated high sensitivity (96.1%) and specificity (85.8%) for SLE diagnosis.
  • EULAR/ACR criteria showed comparable performance to SLICC criteria and higher specificity in specific subgroups (males, >50 years, disease duration ≤3 years) or with a raised cut-off score (12 points).

Conclusions:

  • The 2019 EULAR/ACR criteria are validated for use in Chinese patients with positive ANA, performing comparably to SLICC criteria.
  • Both EULAR/ACR and SLICC criteria offer higher sensitivity but lower specificity than ACR criteria.
  • Specificity of all criteria is enhanced by applying attribution rules to controls, with EULAR/ACR specificity further improved in certain subgroups or with adjusted cut-offs.
Abstract

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