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- Title
Antiphospholipid patterns predict risk of thrombosis in systemic lupus erythematosus.
- Authors
Demir, Selcan; Li, Jessica; Magder, Laurence S; Petri, Michelle
- Abstract
Objective We evaluated which aPL combinations increase the risk of future thrombosis in patients with SLE. Methods This prospective cohort study consisted of SLE patients who had been tested for all seven aPL (LA, aCL isotypes IgM, IgG and IgA, and anti-β2-glycoprotein I isotypes IgM, IgG and IgA). Pooled logistic regression was used to assess the relationship between aPL and thrombosis. Results There were 821 SLE patients with a total of 75 048 person-months of follow-up. During the follow-up we observed 88 incident cases of thrombosis: 48 patients with arterial, 37 with venous and 3 with both arterial and venous thrombosis. In individual models, LA was the most predictive of any [age-adjusted rate ratio 3.56 (95% CI 2.01, 6.30), P < 0.0001], venous [4.89 (2.25, 10.64), P < 0.0001] and arterial [3.14 (1.41, 6.97), P = 0.005] thrombosis. Anti-β2-glycoprotein I IgA positivity was a significant risk factor for any [2.00 (1.22, 3.3), P = 0.0065] and venous [2.8 (1.42, 5.51), P = 0.0029] thrombosis. Only anti-β2-glycoprotein I IgA appeared to add significant risk to any [1.73 (1.04, 2.88), P = 0.0362] and venous [2.27 (1.13, 4.59), P = 0.0218] thrombosis among those with LA. We created an interaction model with four categories based on combinations of LA and other aPL to look at the relationships between combinations and the risk of thrombosis. In this model LA remained the best predictor of thrombosis. Conclusion Our study demonstrated that in SLE, LA remained the best predictor of thrombosis and adding additional aPL did not add to the risk, with the exception of anti-β2-glycoprotein I IgA.
- Subjects
SYSTEMIC lupus erythematosus diagnosis; THROMBOSIS risk factors; AUTOANTIBODIES; CONFIDENCE intervals; RISK assessment; DESCRIPTIVE statistics; DATA analysis software; LOGISTIC regression analysis; LONGITUDINAL method
- Publication
Rheumatology, 2021, Vol 60, Issue 8, p3770
- ISSN
1462-0324
- Publication type
Article
- DOI
10.1093/rheumatology/keaa857