Predictors of kidney disease in a cohort of pediatric patients with lupus

• Published in: Lupus Vol. 24; no. 8; pp. 862 - 868
• Main Authors: Sule, S D, Moodalbail, D G, Burnham, J, Fivush, B, Furth, S L
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.07.2015; Sage Publications Ltd
• Subjects: Adolescent; African Americans; Antibodies; Autoantibodies - blood; Biopsy; Child; Cohort analysis; Creatinine; Female; Humans; Kidney - pathology; Kidney diseases; Laboratories; Logistic Models; Lupus; Lupus Nephritis - diagnosis; Lupus Nephritis - pathology; Male; Metabolism; Odds Ratio; Pediatrics; Prognosis; Proteins; Regression analysis; Retrospective Studies; Rheumatology; Risk Factors; Urinalysis; Urine; United States > US; Baltimore Maryland; nephritis; Renal lupus; systemic lupus erythematosus
• ISSN: 0961-2033; 1477-0962
• DOI: 10.1177/0961203315570162

Introduction Children with systemic lupus erythematosus (SLE) have an increased prevalence of kidney disease compared to their adult counterparts. Our goal was to identify potential clinical and laboratory predictors of renal disease. Methods We performed a cohort study of incident and prevalent patients with SLE aged ≤19 years. Retrospective data from initial presentation until study enrollment was also collected. Laboratory and clinic data were recorded from each clinic visit including disease activity indices, autoantibodies, urinalyses, blood counts, and metabolic profile. Kidney disease was defined as the presence of abnormal renal biopsy or by American College of Rheumatology case definition for lupus nephritis. Logistic regression analyses were used to determine the association between clinical and laboratory data with kidney disease in those who had renal involvement within 30 days of SLE diagnosis. We also performed a time to event analysis to identify antecedents of renal disease. Results Forty-seven children and adolescents with SLE were followed in the cohort, 91% female and 68% black. All of the males in the cohort developed renal disease, and all within one month of the diagnosis of SLE. In logistic regression, low serum albumin (odds ratio (OR): 4.8, 95% CI: 1.9–12.5) and positive dsDNA antibodies (OR: 3.2, 95% CI: 1.7–5.9) were associated with kidney disease. In longitudinal analyses, isolated sterile pyuria (hazard ratio (HR): 3, 95% CI: 1.1–6.4) and low serum albumin (HR: 3.4, 95% CI: 1.7–6.9) were predictors of future kidney disease. The presence of antibodies against Ro were protective against renal disease (HR: 0.2, 95% CI: 0.05–0.5). Conclusion We identified variables associated with kidney disease, both at initial diagnosis of SLE and in longitudinal follow-up in a cohort of children with SLE. The recognition of these abnormal laboratory values may help clinicians identify patients at risk for kidney disease before its onset thus preventing long-term complications.