Nomogram model for predicting the risk of post-stroke depression based on clinical characteristics and DNA methylation.

ABSTRACT:

Objective

To construct a comprehensive nomogram model for predicting the risk of post-stroke depression (PSD) by using clinical data that are easily collected in the early stages, and the level of DNA methylation, so as to help doctors and patients prevent the occurrence of PSD as soon as possible.

Methods

We continuously recruited 226 patients with a history of acute ischemic stroke and followed up for three months. Socio-demographic indicators, vascular-risk factors, and clinical data were collected at admission, and the outcome of depression was evaluated at the third month after stroke. At the same time, a DNA-methylation-related sequencing test was performed on the fasting peripheral blood of the hospitalized patients which was taken the morning after admission.

Resu

SUBMITTER: Luo S 

PROVIDER: S-EPMC10576964 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature