Prospective cohort study shows risk stratification model improves lupus nephritis prediction in SLE patients, indicating important clinical applications.
Lupus nephritis (LN) is one of the most severe manifestation of systemic lupus erythematosus (SLE). However, reliable tools for predicting LN risk remain limited. In this multicenter prospective cohort study, we developed, validated, and refined a risk stratification model for new‐onset LN. A total of 2441 SLE patients without baseline renal involvement were consecutively enrolled from the Chinese SLE Treatment and Research (CSTAR) registry, with 215 (8.8%) developed LN in a median follow‐up time of 3.5 years. A combination of clinical predictors, age < 30 years, absence of arthritis, serositis, hypocomplementemia, and positive anti‐double‐stranded DNA antibodies identified a clinical high‐risk group ( n = 537, 22.0%) with a 3‐year LN incidence of 18.1%. The model was externally validated in 451 patients, with 50 developed LN in a median follow‐up time of 3.4 years. In these patients, a genetic risk score (GRS) derived from 112 SLE‐associated loci was found to be independently associated with LN (HR = 3.19, 95% CI, 1.83–5.55, p = 4.36 × 10 −5 ). Among clinically low‐risk individuals, those in the highest GRS quartiles (81/451, 18.0%) showed elevated 3‐year LN incidence (15.5% vs. 1.4%). New‐onset LN may be predicted using a combination of clinical risk factors, and integrating GRS further improves risk stratification, enabling early identification of high‐risk patients.
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Ding et al. (2025) studied this question.
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