Development and validation of a nomogram for the early prediction of drug resistance in children with epilepsy.

ABSTRACT:

Background and purpose

This study aimed to effectively identify children with drug-resistant epilepsy (DRE) in the early stage of epilepsy, and take personalized interventions, to improve patients' prognosis, reduce serious comorbidity, and save social resources. Herein, we developed and validated a nomogram prediction model for children with DRE.

Methods

The training set was patients with epilepsy who visited the Children's Hospital of Soochow University (Suzhou Industrial Park, Jiangsu Province, China) between January 2015 and December 2017. The independent risk factors for DRE were screened by univariate and multivariate logistic regression analyses using SPSS21 software. The nomogram was designed according to the regression coefficient. The nomogram was validated in the

SUBMITTER: Geng H 

PROVIDER: S-EPMC9468368 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature