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Updated: Feb 14, 2026

Author Spotlight: Investigating the Potential of Chinese Herbal Medicinal Active Dioscin in Treating IgA Nephropathy
Published on: October 13, 2023
An update on predicting renal progression in IgA nephropathy.
Sean Barbour1,2, Heather Reich3
1BC Provincial Renal Agency.
Predicting kidney disease progression in Immunoglobulin A (IgA) nephropathy (IgAN) is improving. Clinical factors like proteinuria and MEST-C scores offer valuable prognostic insights for IgAN patients.
Area of Science:
- Nephrology
- Immunology
- Renal Pathology
Background:
- Immunoglobulin A (IgA) nephropathy (IgAN) presents significant challenges in predicting individual patient renal progression due to its heterogeneous nature.
- Recent advancements offer new insights into clinical, histologic, and biomarker predictors for renal outcomes in IgAN.
Purpose of the Study:
- To review current evidence on predictors of renal outcome in IgA nephropathy.
- To highlight the utility of proteinuria as a surrogate outcome measure.
- To discuss the role of histologic features and clinical parameters in risk stratification.
Main Methods:
- Meta-analysis of clinical trials on proteinuria as a surrogate outcome.
- Validation of the MEST histologic classification in a large cohort.
- Observational study on crescents as independent predictors.
- Combination of clinical data (proteinuria, eGFR, blood pressure) with MEST-C score for prognosis.
Main Results:
- Early changes in proteinuria effectively predict long-term renal function decline.
- The MEST-C score, incorporating crescents, enhances prognostic accuracy.
- Clinical factors (proteinuria, eGFR, blood pressure) combined with MEST-C score predict prognosis without lengthy follow-up.
- No biomarkers have yet demonstrated external validation to improve prediction beyond established factors.
Conclusions:
- Proteinuria, eGFR, blood pressure, and MEST-C score are key predictors for renal prognosis in IgAN.
- Further research is needed to integrate these factors for precise patient risk stratification.
- Developing and validating biomarkers to enhance IgAN risk prediction remains an important goal.
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