Clinical and Histologic Predictors of Kidney Outcomes in C3 Glomerulopathy and Idiopathic Membranoproliferative GN

Key Points Lower eGFR, paraprotein presence, and interstitial fibrosis were associated with a higher risk of kidney outcome. Native disease (versus recurrence post-transplantation), White ethnicity, and lower C4 levels were associated with a lower risk of kidney outcome. A 50% reduction in proteinuria from baseline to a value <1 g/d was associated with a lower risk of kidney outcome. Background C3 glomerulopathy (C3G) is a rare disease caused by abnormalities in the alternative complement pathway with significant overlap with idiopathic immune complex membranoproliferative GN (IC-MPGN). The risk factors of kidney outcomes in these conditions remain controversial, limited by small studies. We aimed to identify and assess risk factors associated with kidney outcomes. Methods Using a cohort of 225 patients with C3G or idiopathic IC-MPGN from three international centers, we evaluated the association between clinical and histologic variables and a composite outcome of a 30% decline in eGFR or ESKD, using Cox proportional hazards models. A prediction model was derived and internally validated through bootstrap resampling. Results In a multivariable model, lower eGFR, paraprotein presence, and interstitial fibrosis were associated with a higher outcome risk, whereas native disease (versus recurrence post-transplantation), White ethnicity, and lower C4 levels were associated with lower risk. The prediction model including these variables performed well (R 2 D : 53%, C-statistic: 0.84 [95% confidence interval, 0.82 to 0.86], integrated calibration index: 0.31) and maintained robustness after internal validation. A 50% reduction in proteinuria from baseline to a value <1 g/d was associated with a lower risk of outcome independent of other risk factors (hazard ratio, 0.35; 95% confidence interval, 0.12 to 0.97). Conclusions Our study evaluated the baseline clinical and histologic parameters associated with kidney outcomes using the largest C3G/idiopathic IC-MPGN cohort to date. These factors were included in a prediction model to assess individual patient risk. Our results provide an evidence-based definition of proteinuria remission that can be used for patient care and in clinical trials. Podcast This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/CJASN/2025_08_27_CJASNAugust.20.8.82.mp3

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Publication Details

Journal
Clinical Journal of the American Society of Nephrology
Published
2025-06-13
DOI
https://doi.org/10.2215/cjn.0000000751
Citations
3
Primary Topic
Complement system in diseases
Type
article
Field-Weighted Citation Impact
2.39

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article

Clinical and Histologic Predictors of Kidney Outcomes in C3 Glomerulopathy and Idiopathic Membranoproliferative GN

Malak Ghaddar, Giuseppe Remuzzi, Hannah J. Lomax-Browne, Dilshani Induruwage et al.
3 citations
Clinical Journal of the American Society of Nephrology
Complement system in diseases
2.39
article

Clinical and Histologic Predictors of Kidney Outcomes in C3 Glomerulopathy and Idiopathic Membranoproliferative GN

Malak Ghaddar, Giuseppe Remuzzi, Hannah J. Lomax-Browne, Dilshani Induruwage, Erica Daina, Fernando Caravaca‐Fontán, Manuel Praga, Gema Fernández‐Juárez, Bingyue Zhu, Matthew C. Pickering, H. Terence Cook, Marina Noris, Sean J. Barbour
article en
3 citations

Abstract

Key Points Lower eGFR, paraprotein presence, and interstitial fibrosis were associated with a higher risk of kidney outcome. Native disease (versus recurrence post-transplantation), White ethnicity, and lower C4 levels were associated with a lower risk of kidney outcome. A 50% reduction in proteinuria from baseline to a value <1 g/d was associated with a lower risk of kidney outcome. Background C3 glomerulopathy (C3G) is a rare disease caused by abnormalities in the alternative complement pathway with significant overlap with idiopathic immune complex membranoproliferative GN (IC-MPGN). The risk factors of kidney outcomes in these conditions remain controversial, limited by small studies. We aimed to identify and assess risk factors associated with kidney outcomes. Methods Using a cohort of 225 patients with C3G or idiopathic IC-MPGN from three international centers, we evaluated the association between clinical and histologic variables and a composite outcome of a 30% decline in eGFR or ESKD, using Cox proportional hazards models. A prediction model was derived and internally validated through bootstrap resampling. Results In a multivariable model, lower eGFR, paraprotein presence, and interstitial fibrosis were associated with a higher outcome risk, whereas native disease (versus recurrence post-transplantation), White ethnicity, and lower C4 levels were associated with lower risk. The prediction model including these variables performed well (R 2 D : 53%, C-statistic: 0.84 [95% confidence interval, 0.82 to 0.86], integrated calibration index: 0.31) and maintained robustness after internal validation. A 50% reduction in proteinuria from baseline to a value <1 g/d was associated with a lower risk of outcome independent of other risk factors (hazard ratio, 0.35; 95% confidence interval, 0.12 to 0.97). Conclusions Our study evaluated the baseline clinical and histologic parameters associated with kidney outcomes using the largest C3G/idiopathic IC-MPGN cohort to date. These factors were included in a prediction model to assess individual patient risk. Our results provide an evidence-based definition of proteinuria remission that can be used for patient care and in clinical trials. Podcast This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/CJASN/2025_08_27_CJASNAugust.20.8.82.mp3

Clinical Journal of the American Society of NephrologyVol. 20(8)
Universidad Complutense de Madrid (ES), BC Cancer Agency (CA), University of British Columbia (CA), Mario Negri Institute for Pharmacological Research (IT), Hospital Universitario La Paz (ES), Research Institute Hospital 12 de Octubre (ES), Imperial College London (GB)
Alexion Pharmaceuticals, Wellcome Trust, Ministero della Salute, NIHR Imperial Biomedical Research Centre
Openalex Percentile: Top 11%
Complement system in diseases
2.39
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