ArticleLupus science & medicine2025
Prediction model for renal outcomes in Latin American Mestizo patients with pure proliferative lupus nephritis.
Article in Lupus science & medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Kidney Biopsy and Prognosis in Lupus Nephritis: Histological Predictors of Renal Outcome-A Narrative Review.Medicina (Kaunas, Lithuania) · 2026Review
- Predictors of renal and patient survival in lupus nephritis: a 28-year single-center cohort study.Frontiers in nephrology · 2026Article
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20 authors.
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Abstract
objectiveLupus nephritis (LN) is associated with a poorer prognosis in Latin American populations. However, the contributing risk factors contributing to this remain to be fully elucidated. This study aimed to develop a prognostic model for poor renal outcomes in patients of mestizo descent.
methodsWe conducted a multicentre, retrospective analysis including 290 adult mestizo patients with incident, biopsy-proven pure proliferative LN (International Society of Nephrology/Renal Pathology Society (ISN/RPS) class III or IV) from nine Chilean hospitals. Clinical, biological and histological variables were assessed. The primary outcome was a composite of stage IV/V chronic kidney disease, dialysis or death. Predictive variables were selected using multivariable Cox regression, and prognostic scores were derived accordingly. Internal validation was performed via bootstrapping. External validation included 93 Mexican patients, with model performance assessed using Harrel's concordance index.
resultsTwo baseline factors were independently associated with poor renal outcome: estimated glomerular filtration rate <30 mL/min/m
conclusionsBased on two readily available features at the time of diagnosis, the proposed model effectively stratifies Latin American mestizo patients with pure proliferative LN (ISN/RPS class III or IV) into three risk categories for poor renal outcome. This tool may support improved risk-based management in this high-risk population.
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