Development and validation of a discrimination model between primary PLA2R-negative membranous nephropathy and minimal change disease confirmed by renal biopsy

Abstract Membranous nephropathy (MN) and minimal change disease (MCD) are two common causes leading to nephrotic syndrome (NS). They have similar clinical features but different treatment strategies and prognoses. M-type phospholipase A2 receptor (PLA2R) is considered as a specific marker of membran...

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Autores principales: Feng Wu, Yiding Zhang, Wen Cui, Yijun Dong, Yingyang Geng, Changhao Liu, Zemeng Li, Yandong Xie, Xiaojing Cai, Jin Shang, Jing Xiao, Zhanzheng Zhao
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/1136edcd8ec746dab3179c01bccfa05c
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spelling oai:doaj.org-article:1136edcd8ec746dab3179c01bccfa05c2021-12-02T17:19:17ZDevelopment and validation of a discrimination model between primary PLA2R-negative membranous nephropathy and minimal change disease confirmed by renal biopsy10.1038/s41598-021-97517-82045-2322https://doaj.org/article/1136edcd8ec746dab3179c01bccfa05c2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-97517-8https://doaj.org/toc/2045-2322Abstract Membranous nephropathy (MN) and minimal change disease (MCD) are two common causes leading to nephrotic syndrome (NS). They have similar clinical features but different treatment strategies and prognoses. M-type phospholipase A2 receptor (PLA2R) is considered as a specific marker of membranous nephropathy. However, its sensitivity is only about 70%. Therefore, there is a lack of effective and noninvasive tools to distinguish PLA2R-negative MN and MCD patients without renal biopsy. A total 949 patients who were pathologically diagnosed as idiopathic MN or MCD were enrolled in this study, including 805 idiopathic MN and 144 MCD. Based on the basic information and laboratory examination of 200 PLA2R-negative MN and 144 MCD, we used a univariate and multivariate logistic regression to select the relevant variables and develop a discrimination model. A novel model including age, albumin, urea, high density lipoprotein, C3 levels and red blood cell count was established for PLA2R-negative MN and MCD. The discrimination model has great differential capability (with an AUC of 0.904 in training group and an AUC of 0.886 in test group) and calibration capability. When testing in all 949 patients, our model also showed good discrimination ability for all idiopathic MN and MCD.Feng WuYiding ZhangWen CuiYijun DongYingyang GengChanghao LiuZemeng LiYandong XieXiaojing CaiJin ShangJing XiaoZhanzheng ZhaoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Feng Wu
Yiding Zhang
Wen Cui
Yijun Dong
Yingyang Geng
Changhao Liu
Zemeng Li
Yandong Xie
Xiaojing Cai
Jin Shang
Jing Xiao
Zhanzheng Zhao
Development and validation of a discrimination model between primary PLA2R-negative membranous nephropathy and minimal change disease confirmed by renal biopsy
description Abstract Membranous nephropathy (MN) and minimal change disease (MCD) are two common causes leading to nephrotic syndrome (NS). They have similar clinical features but different treatment strategies and prognoses. M-type phospholipase A2 receptor (PLA2R) is considered as a specific marker of membranous nephropathy. However, its sensitivity is only about 70%. Therefore, there is a lack of effective and noninvasive tools to distinguish PLA2R-negative MN and MCD patients without renal biopsy. A total 949 patients who were pathologically diagnosed as idiopathic MN or MCD were enrolled in this study, including 805 idiopathic MN and 144 MCD. Based on the basic information and laboratory examination of 200 PLA2R-negative MN and 144 MCD, we used a univariate and multivariate logistic regression to select the relevant variables and develop a discrimination model. A novel model including age, albumin, urea, high density lipoprotein, C3 levels and red blood cell count was established for PLA2R-negative MN and MCD. The discrimination model has great differential capability (with an AUC of 0.904 in training group and an AUC of 0.886 in test group) and calibration capability. When testing in all 949 patients, our model also showed good discrimination ability for all idiopathic MN and MCD.
format article
author Feng Wu
Yiding Zhang
Wen Cui
Yijun Dong
Yingyang Geng
Changhao Liu
Zemeng Li
Yandong Xie
Xiaojing Cai
Jin Shang
Jing Xiao
Zhanzheng Zhao
author_facet Feng Wu
Yiding Zhang
Wen Cui
Yijun Dong
Yingyang Geng
Changhao Liu
Zemeng Li
Yandong Xie
Xiaojing Cai
Jin Shang
Jing Xiao
Zhanzheng Zhao
author_sort Feng Wu
title Development and validation of a discrimination model between primary PLA2R-negative membranous nephropathy and minimal change disease confirmed by renal biopsy
title_short Development and validation of a discrimination model between primary PLA2R-negative membranous nephropathy and minimal change disease confirmed by renal biopsy
title_full Development and validation of a discrimination model between primary PLA2R-negative membranous nephropathy and minimal change disease confirmed by renal biopsy
title_fullStr Development and validation of a discrimination model between primary PLA2R-negative membranous nephropathy and minimal change disease confirmed by renal biopsy
title_full_unstemmed Development and validation of a discrimination model between primary PLA2R-negative membranous nephropathy and minimal change disease confirmed by renal biopsy
title_sort development and validation of a discrimination model between primary pla2r-negative membranous nephropathy and minimal change disease confirmed by renal biopsy
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/1136edcd8ec746dab3179c01bccfa05c
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