Nomogram for predicting the risk of postoperative myasthenic crisis in patients with thymectomy.

ABSTRACT:

Objective

This study aimed to develop and validate internally a clinical predictive model, for predicting myasthenic crisis within 30 days after thymectomy in patients with myasthenia gravis.

Methods

Eligible patients were enrolled between January 2015 and May 2019. The primary outcome measure was postoperative myasthenic crisis (POMC). A predictive model was constructed using logistic regression and presented in a nomogram. The area under the receiver operating characteristic curve (AUC) was calculated to examine the performance. The study population was divided into high- and low-risk groups according to Youden index. Calibration curves with 1000 replications bootstrap resampling were plotted to visualize the calibration of the nomogram. Decision curve analyses (DCA) with

SUBMITTER: Ruan Z 

PROVIDER: S-EPMC10109272 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature