Development and Validation of a Nomogram for Predicting Generalization in Patients With Ocular Myasthenia Gravis.

ABSTRACT:

Background

This study aims to develop and validate a nomogram for predicting 1- and 2-year generalization probabilities in patients with ocular myasthenia gravis (OMG).

Methods

In total, 501 eligible patients with OMG treated at seven tertiary hospitals in China between January 2015 and May 2019 were included. The primary outcome measure was disease generalization. A nomogram for predicting 1- and 2-year generalization probabilities was constructed using a stepwise Cox regression model. Nomogram performance was quantified using C-indexes and calibration curves. Two-year cumulative generalization rates were analyzed using the Kaplan-Meier method for distinct nomogram-stratified risk groups. The clinical usefulness of the nomogram was evaluated using decision curve analysis (D

SUBMITTER: Ruan Z 

PROVIDER: S-EPMC9302474 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature