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Dataset Information

Risk factor analysis and establishment of a predictive model for epilepsy comorbid with depression.


ABSTRACT:

Objective

This study aims to utilize our hospital's existing Stereo Electroencephalography (SEEG) examination results combined with other clinical data to systematically analyze the risk factors for epilepsy comorbid with depression, and to establish a model for predicting the risk of developing depression in epilepsy patients. Clinically, this model can be used to predict the risk of comorbid depression in epilepsy patients, thereby enhancing the identification of this condition and providing a theoretical basis for proactive intervention in depressive symptoms among epilepsy patients.

Methods

A retrospective analysis was conducted on the clinical data of patients diagnosed with epilepsy in the Department of Neurosurgery at Tongde Hospital Of Zhejiang Province from 01/01/20

SUBMITTER: Sun Y 

PROVIDER: S-EPMC12404384 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature