郑州大学学报（医学版）2026，Vol.61Issue(2)：104-109,6.DOI:10.13705/j.issn.1671-6825.2024.11.037
主动脉夹层生物标志物及预测模型的研究进展
Research progress on biomarkers and prediction models of aortic dissection
摘要
Abstract
Aortic dissection(AD)is a serious cardiovascular disease with a rapid onset and high lethality,and its early diagnosis and risk prediction are crucial for improving patients′ prognosis.In recent years,with the rapid development of mo-lecular biology and artificial intelligence technology,the research on AD-related biomarkers and prediction models has made significant progress.This article systematically reviews recent advances in the application of biomarkers in the diagnosis and prediction of AD.It covers the diagnostic and prognostic value of various blood biomarkers,including D-dimer,Serum amy-loid A,interleukin-6,matrix metalloproteinase,miRNA,trimethylamine N-oxide,and succinic acid,aiming to provide a refer-ence for developing more accurate and convenient methods for the early diagnosis of AD.A review of AD related prediction models in this study includes those constructed using traditional statistical methods(such as Logistic regression and Cox re-gression nomograms)and those built based on big data and machine learning(such as random forests and 3D U-Net convo-lutional neural networks).The latter,by integrating multi-source data,exhibits superior sensitivity and specificity compared with traditional methods.Future efforts should focus on integrating multi-omics with artificial intelligence to advance precise early diagnosis and high-risk warning for AD.关键词
主动脉夹层/生物标志物/预测模型Key words
aortic dissection/biomarker/prediction model分类
医药卫生引用本文复制引用
白梦格,王刚,姬建胜,焦洁..主动脉夹层生物标志物及预测模型的研究进展[J].郑州大学学报（医学版）,2026,61(2):104-109,6.基金项目
河南省医学科技攻关计划省部共建重点项目(SBGJ202002017) （SBGJ202002017）
