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Dataset Information

Development and validation of a nomogram to predict kidney survival at baseline in patients with C3 glomerulopathy.


ABSTRACT:

Background

C3 glomerulopathy is a rare and heterogeneous complement-driven disease. It is often challenging to accurately predict in clinical practice the individual kidney prognosis at baseline. We herein sought to develop and validate a prognostic nomogram to predict long-term kidney survival.

Methods

We conducted a retrospective, multicenter observational cohort study in 35 nephrology departments belonging to the Spanish Group for the Study of Glomerular Diseases. The dataset was randomly divided into a training group (n = 87) and a validation group (n = 28). The least absolute shrinkage and selection operator (LASSO) regression was used to screen the main predictors of kidney outcome and to build the nomogram. The accuracy of the nomogram was assessed by di

SUBMITTER: Caravaca-Fontan F 

PROVIDER: S-EPMC9394716 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature