ArticlePediatric nephrology (Berlin, Germany)2026
Prognosis and predictive factors in pediatric IgA nephropathy.
Article in Pediatric nephrology (Berlin, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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9 authors.
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Abstract
backgroundIgA nephropathy (IgAN) is a common glomerular disease in children that may progress to chronic kidney disease (CKD) and kidney failure. Identifying reliable prognostic markers is important for guiding clinical management. This study investigated independent predictors of poor prognosis in pediatric IgAN and their impact on eGFR slope, as well as the dynamic patterns of complete kidney remission and relapse, predictive factors associated with remission, and the influence of remission on poor prognosis.
methodsA retrospective cohort study of 224 children (aged 3-18 years) with biopsy-proven IgAN and ≥ 3 years of follow-up was enrolled. Poor prognosis was defined as persistent eGFR < 90 mL/min/1.73 m
resultsOver a median follow-up of 5.41 years, 12.05% reached the poor prognosis. Independent risk factors included male sex, older age at biopsy, Oxford classification E1 and S1 lesions, absence of gross hematuria, and no remission of proteinuria during follow-up, while higher birth weight was protective. eGFR slope was influenced by age at biopsy, gross hematuria and proteinuria remission status during follow-up. Complete kidney remission occurred in 70.98%, with a recurrence rate of 60.38%. Predictors of complete kidney remission included antecedent infection, kidney IgM deposition of 2 + , elevated serum IgM, increased pathological casts count, and prednisone treatment, while prolonged disease duration before biopsy and higher tubular casts count were risk factors. Group comparisons and logistic regression analysis showed no significant associations between kidney remission and poor.
conclusionsPediatric IgAN shows slow disease progression over 5 years. Despite high complete kidney remission rates, recurrence remains common. These findings support extended follow-up and improved predictive models.
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