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Cited by 361

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Predicting the Risk for Dialysis or Death in IgA Nephropathy

Open access
Berthoux, François, Mohey, Hesham, Laurent, Blandine, Mariat, Christophe, Afiani, Aida, Thibaudin, Lise·2011·Journal of the American Society of Nephrology

Abstract

For the individual patient with primary IgA nephropathy (IgAN), it remains a challenge to predict long-term outcomes for patients receiving standard treatment. We studied a prospective cohort of 332 patients with biopsy-proven IgAN patients followed over an average of 13 years. We calculated an absolute renal risk (ARR) of dialysis or death by counting the number of risk factors present at diagnosis: hypertension, proteinuria ≥1 g/d, and severe pathologic lesions (global optical score, ≥8). Overall, the ARR score allowed significant risk stratification (P < 0.0001). The cumulative incidence of death or dialysis at 10 and 20 years was 2 and 4%, respectively, for ARR=0; 2 and 9% for ARR=1; 7 and 18% for ARR=2; and 29 and 64% for ARR=3, in adequately treated patients. When achieved, control of hypertension and reduction of proteinuria reduced the risk for death or dialysis. In conclusion, the absolute renal risk score, determined at diagnosis, associates with risk for dialysis or death.

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Metadata

Authors
Berthoux, F., Mohey, H., Laurent, B., Mariat, C., Afiani, A., & Thibaudin, L.
Venue
Journal of the American Society of Nephrology
Published
2011-04
Volume
22
Issue
4
Pages
752-761
ISSN
1046-6673 (ISSN-L)
OpenAlex
W2160421164
Cited by
361
References
33
FWCI
16.88
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Predicting the Risk for Dialysis or Death in IgA Nephropathy. https://app.cochat.ai/papers/10.1681/asn.2010040355
The paper
Berthoux, F., Mohey, H., Laurent, B., Mariat, C., Afiani, A., & Thibaudin, L. (2011). Predicting the Risk for Dialysis or Death in IgA Nephropathy. Journal of the American Society of Nephrology. https://doi.org/10.1681/asn.2010040355

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.