Anti-PLA2R Antibody Levels and Clinical Risk Factors for Treatment Nonresponse in Membranous Nephropathy

Author:

Barbour Sean J.12,Fervenza Fernando C.3ORCID,Induruwage Dilshani2ORCID,Brenchley Paul E.4ORCID,Rovin Brad5ORCID,Hladunewich Michelle A.6ORCID,Reich Heather N.7ORCID,Lafayette Richard8,Aslam Nabeel9,Appel Gerald B.10,Zand Ladan3ORCID,Kiryluk Krzysztof10ORCID,Liu Lili10ORCID,Cattran Daniel C.7,

Affiliation:

1. Division of Nephrology, University of British Columbia, Vancouver, Canada

2. BC Renal, Vancouver, Canada

3. Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota

4. Division of Cardiovascular Sciences, Facult,y of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom

5. Nephrology Division, Ohio State University Wexner Medical Center, Columbus, Ohio

6. Division of Nephrology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada

7. Division of Nephrology, University of Toronto, Toronto, Canada

8. Stanford University Medical Center, Stanford, California

9. Division of Nephrology and Hypertension, Mayo Clinic, Jacksonville, Florida

10. Division of Nephrology, Department of Medicine, Columbia University, New York, New York

Abstract

Background The 2021 Kidney Disease Improving Global Outcomes (KDIGO) guidelines recommend following anti-phospholipase A2 receptor (PLA2R) antibody levels as a marker of treatment response in membranous nephropathy; however, the optimal timing to evaluate antibody levels and how to combine them with other clinical variables are currently unknown. Methods We used a cohort of 85 patients from the Membranous Nephropathy Trial Of Rituximab (MENTOR) with anti-PLA2R antibodies ≥14 RU/ml to identify risk factors for not experiencing proteinuria remission after 12 months of treatment with cyclosporine or rituximab. Three landmark times were considered: at baseline and after 3 and 6 months of treatment. Logistic regression model performance was evaluated using C-statistics and model fit (Akaike information criterion [AIC], R2). Results The model at baseline that best predicted no remission included anti-PLA2R antibodies >323 RU/ml and creatinine clearance; the best model after 3 months included the change from baseline in both antibody and albumin levels; and the best model after 6 months included antibody levels >14 RU/ml, creatinine clearance, and the change from baseline in albumin. Compared with the model at baseline, the model at 3 months had better model fit (AIC 70.9 versus 96.4, R2 51.8% versus 30.1%) and higher C-statistic (0.93 versus 0.83, P = 0.008). The model at 6 months had no difference in performance compared with the model at 3 months (AIC 68.6, R2 53.0%, C-statistic 0.94, P = 0.67). Conclusions In patients with membranous nephropathy treated with cyclosporine or rituximab in the MENTOR trial, we found that the optimal method to evaluate risk factors for the probability of treatment response was to use anti-PLA2R antibody levels combined with albumin levels after 3 months of treatment, which was significantly better than using antibody levels alone or risk factor evaluation at baseline, with no added benefit of waiting until 6 months of treatment.

Funder

Genentech

Fulk Family Foundation

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Transplantation,Nephrology,Critical Care and Intensive Care Medicine,Epidemiology

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