A nomogram prediction model for treatment failure in primary membranous nephropathy.

ABSTRACT:

Background

Primary membranous nephropathy (PMN) has a heterogeneous natural course. Immunosuppressive therapy is recommended for PMN patients at moderate or high risk of renal function deterioration. Prediction models for the treatment failure of PMN have rarely been reported.

Methods

This study retrospectively studied patients diagnosed as PMN by renal biopsy at Sichuan Provincial People's Hospital from January 2017 to December 2020. Information on clinical characteristics, laboratory test results, pathological examination, and treatment was collected. The outcome was treatment failure, defined as the lack of complete or partial remission at the end of 12 months. Simple logistic regression was used to identify candidate predictive variables. Forced-entry stepwise multivaria

SUBMITTER: Geng C 

PROVIDER: S-EPMC10557540 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature