Combined Serologic and Genetic Risk Score and Prognostication of Phospholipase A2 receptor-Associated Membranous Nephropathy

Author:

Hu Xiaofan1,Xu Jing1,Wang Wei2,Liu Lili3,Jing Yuanmeng1,Gao Chenni1,Yu Xialian1,Li Yi2,Lin Li1,Tong Jun1,Weng Qinjie1,Pan Xiaoxia1,Zhang Wen1,Ren Hong1,Li Guisen2,Kiryluk Krzysztof3,Chen Nan1,Xie Jingyuan1

Affiliation:

1. Department of Nephrology, School of Medicine, Institute of Nephrology, Shanghai Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, China

2. Department of Nephrology, School of Medicine, Sichuan Academy of Medical Science and Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China

3. Division of Nephrology, Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, New York

Abstract

Introduction The aim of this study was to test whether a combined risk score on the basis of genetic risk and serology can improve the prediction of kidney failure in phospholipase A2 receptor (PLA2R)-associated primary membranous nephropathy. Methods We performed a retrospective analysis of 519 biopsy-proven PLA2R-associated primary membranous nephropathy patients with baseline eGFR ≥25 ml/min per 1.73 m2. The combined risk score was calculated by combining the genetic risk score with PLA2R ELISA antibody titers. The primary end point was kidney disease progression defined as a 50% reduction in eGFR or kidney failure. Cox proportional hazard regression analysis and C-statistics were applied to compare the performance of PLA2R antibody, genetic risk score, and combined risk score, as compared with clinical factors alone, in predicting primary outcomes. Results The median age was 56 years (range, 15–82 years); the male-to-female ratio was 1:0.6, the median eGFR at biopsy was 99 ml/min per 1.73 m2 (range: 26–167 ml/min per 1.73 m2), and the median proteinuria was 5.3 g/24 hours (range: 1.5–25.8 g/24 hours). During a median follow-up of 67 (5–200) months, 66 (13%) had kidney disease progression. In Cox proportional hazard regression models, PLA2R antibody titers, genetic risk score, and combined risk score were all individually associated with kidney disease progression with and without adjustments for age, sex, proteinuria, eGFR, and tubulointerstitial lesions. The best-performing clinical model to predict kidney disease progression included age, eGFR, proteinuria, serum albumin, diabetes, and tubulointerstitial lesions (C-statistic 0.76 [0.69–0.82], adjusted R2 0.51). Although the addition of PLA2R antibody titer improved the performance of this model (C-statistic: 0.78 [0.72–0.84], adjusted R2 0.61), replacing PLA2R antibody with the combined risk score improved the model further (C-statistic: 0.82 [0.77–0.87], adjusted R2 0.69, difference of C-statistics with clinical model=0.06 [0.03–0.10], P < 0.001; difference of C-statistics with clinical–serologic model=0.04 [0.01–0.06], P < 0.001). Conclusions In patients with PLA2R-associated membranous nephropathy, the combined risk score incorporating inherited risk alleles and PLA2R antibody enhanced the prediction of kidney disease progression compared with PLA2R serology and clinical factors alone.

Funder

Major International Joint Research Programme

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Science and Technology Innovation Plan of Shanghai Science and Technology Commission

Shanghai Municipal Education Commission

Shanghai Shenkang Hospital Development Center

School of Medicine, Shanghai Jiao Tong University

Shanghai Municipal Health and Family Planning Commission

Shanghai Jiao Tong University “Jiaotong Star” Plan Medical Engineering

Shanghai Municipal Key Clinical Specialty

National Institutes of Health

Publisher

Ovid Technologies (Wolters Kluwer Health)

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