Prediction of steroid resistance and steroid dependence in nephrotic syndrome children.

ABSTRACT:

Background

Steroid resistant (SR) nephrotic syndrome (NS) affects up to 30% of children and is responsible for fast progression to end stage renal disease. Currently there is no early prognostic marker of SR and studied candidate variants and parameters differ highly between distinct ethnic cohorts.

Methods

Here, we analyzed 11polymorphic variants, 6 mutations, SOCS3 promoter methylation and biochemical parameters as prognostic markers in a group of 124 Polish NS children (53 steroid resistant, 71 steroid sensitive including 31 steroid dependent) and 55 controls. We used single marker and multiple logistic regression analysis, accompanied by prediction modeling using neural network approach.

Results

We achieved 92% (AUC = 0.778) SR prediction for binomial and 63% for

SUBMITTER: Zaorska K 

PROVIDER: S-EPMC8011118 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature