Unknown

Dataset Information

Screening plasma metabolites as potential biomarkers for type B aortic dissection.


ABSTRACT:

Background

Aortic dissection (AD) is a serious aortic disease. Although current imaging methods can provide accurate diagnosis for AD, they do not include essential biological information. The aim of this study is to identify plasma metabolites for the risk and severity of type B AD (TBAD).

Methods

In this cross-sectional study, we enrolled 16 hypertensive patients with TBAD and 7 hypertensive patients without TBAD in Jieyang People's Hospital between December 2021 and April 2022. After plasma metabolomics analysis, a metabolites risk score (MRS) model was conducted through logistic regression and least absolute shrinkage and selection operator (LASSO) regression to predict the risk of TBAD. Subsequently, TBAD group was divided into uncomplicated and complicated TBAD subgrou

SUBMITTER: Xu H 

PROVIDER: S-EPMC10753243 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature