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Dataset Information

Developing and validating a nomogram to predict myasthenia gravis exacerbation in patients with postoperative thymoma recurrence.


ABSTRACT:

Background

Myasthenia gravis (MG) is one of the most common accessory syndromes for thymoma patients. To reduce MG exacerbation and guide clinical practice, we developed a nomogram for predicting MG exacerbation in patients with postoperative thymoma recurrence.

Methods

Retrospective study of 176 patients with recurrence following thymoma resection who were admitted to the People's Hospital of Shijiazhuang's Center of Treatment of Myasthenia Gravis between 2013 and 2021. Among them, 120 patients with recurrent thymoma from 2013 to 2020 were selected as the training cohort, and 56 patients in 2021 as the validation cohort. Univariate and multivariate logical regression was used to determine the risk factors and draw the nomogram, and the parameters in the nomogram were propor

SUBMITTER: Cheng B 

PROVIDER: S-EPMC9638789 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature