IgAN.pt: External Validation of theInternational IgA Nephropathy PredictionTool in a Portuguese Cohort

Introduction: IgA nephropathy (IgAN) is one of the most common primary glomerulonephritis worldwide, presenting with highly variable clinical manifestations and disease progression. The 10‑year risk of end‑stage kidney disease (ESKD) ranges from 5% to 60%, making risk stratification a major challenge. To address this, the IgAN‑Prediction Tool (IgAN‑PT) was developed and is currently recommended for risk assessment. Methods: This study aimed to evaluate the applicability of the IgAN-PT in a Portuguese cohort. We conducted a retrospective analysis of all biopsy‑confirmed IgAN cases from January 1998 to December 2018 and assessed the tool’s predictive performance. Results: In a cohort of 93 Portuguese patients, the IgAN‑PT significantly correlated with 5‑year progression to ESKD or a ≥50% reduction in eGFR (OR 1.06; 95%CI [1.02‑1.1]), demonstrating good discriminative performance (AUC 0.75; 95%CI [0.681‑0.910]). Additionally, baseline proteinuria >1.4 g/24h, eGFR <79 mL/min/1.73m², and an IgAN‑PT score >12.4% provided the best sensitivity‑specificity compromise for predicting the primary outcome. A multivariate model incorporating both IgAN‑PT and the presence of crescents showed improved predictive capacity compared with IgAN‑PT alone (AUC 0.845; 95%CI [0.754‑0.937]). Conclusion: Our findings validate the use of IgAN‑PT in a Portuguese cohort and suggest that incorporating the presence of crescents enhances its predictive accuracy.

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Publication Details

Journal
Portuguese Kidney Journal (PKJ)
Published
2025-10-11
DOI
https://doi.org/10.71749/pkj.116
Primary Topic
Renal Diseases and Glomerulopathies
Type
article
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article

IgAN.pt: External Validation of theInternational IgA Nephropathy PredictionTool in a Portuguese Cohort

Rui Alves, Pedro Fragoso, Luís Miguel Amaral Rodrigues, Ana Galvão et al.
Portuguese Kidney Journal (PKJ)
Renal Diseases and Glomerulopathies
article

IgAN.pt: External Validation of theInternational IgA Nephropathy PredictionTool in a Portuguese Cohort

Rui Alves, Pedro Fragoso, Luís Miguel Amaral Rodrigues, Ana Galvão, Andreia Borges, Helena Sá, Beatriz Fernandes, Beatriz C. Ferreira
article en

Abstract

Introduction: IgA nephropathy (IgAN) is one of the most common primary glomerulonephritis worldwide, presenting with highly variable clinical manifestations and disease progression. The 10‑year risk of end‑stage kidney disease (ESKD) ranges from 5% to 60%, making risk stratification a major challenge. To address this, the IgAN‑Prediction Tool (IgAN‑PT) was developed and is currently recommended for risk assessment. Methods: This study aimed to evaluate the applicability of the IgAN-PT in a Portuguese cohort. We conducted a retrospective analysis of all biopsy‑confirmed IgAN cases from January 1998 to December 2018 and assessed the tool’s predictive performance. Results: In a cohort of 93 Portuguese patients, the IgAN‑PT significantly correlated with 5‑year progression to ESKD or a ≥50% reduction in eGFR (OR 1.06; 95%CI [1.02‑1.1]), demonstrating good discriminative performance (AUC 0.75; 95%CI [0.681‑0.910]). Additionally, baseline proteinuria >1.4 g/24h, eGFR <79 mL/min/1.73m², and an IgAN‑PT score >12.4% provided the best sensitivity‑specificity compromise for predicting the primary outcome. A multivariate model incorporating both IgAN‑PT and the presence of crescents showed improved predictive capacity compared with IgAN‑PT alone (AUC 0.845; 95%CI [0.754‑0.937]). Conclusion: Our findings validate the use of IgAN‑PT in a Portuguese cohort and suggest that incorporating the presence of crescents enhances its predictive accuracy.

Portuguese Kidney Journal (PKJ)
Escola Superior de Tecnologia da Saúde de Coimbra (PT), University of Coimbra (PT)
Reduced inequalities
Openalex Percentile: Top 32%
Renal Diseases and Glomerulopathies
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IgAN.pt: External Validation of theInternational IgA Nephropathy PredictionTool in a Portuguese Cohort — Rui Alves, Pedro Fragoso, et al. · Portuguese Kidney Journal (PKJ) (2025) | TGRS Research Map | TGRS