The influencing factors of microcirculation dysfunction in patients with anterior wall acute myocardial infarction and the establishment of prediction model
10.3969/j.issn.1008-794X.2024.11.005
- VernacularTitle:前壁心梗患者微循环功能障碍的影响因素及预测模型的建立
- Author:
Yujie ZHANG
1
;
Di WANG
;
Tianbao YE
;
Liang LIU
;
Xian JIN
;
Chengxing SHEN
Author Information
1. 200233 上海 上海交通大学医学院附属第六人民医院
- Keywords:
acute myocardial infarction;
microcirculation dysfunction;
caIMR
- From:
Journal of Interventional Radiology
2024;33(11):1181-1185
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the influencing factors of microcirculation dysfunction in patients with anterior wall acute myocardial infarction(AMI)and to establish a relevant prediction model.Methods A total of 130 patients with anterior wall AMI,whose microcirculation function was assessed by caIMR after receiving percutaneous coronary intervention(PCI)at Shanghai Sixth People's Hospital of China from January 2017 to September 2020,were enrolled in this study.The patients were divided into abnormal microcirculation resistance group(n=52)and normal microcirculation resistance group(n=78).The clinical data were compared between the two groups.The regression analysis was used to analyze the influencing factors of microcirculation dysfunction.Results In the abnormal microcirculation resistance group the contrast agent consumption,the onset-to-operation time,the Gensini total score and the LAD Gensini score were(121.92±31.37)mL,(10.51±5.12)min,(97.91±31.77)points and(69.36±13.15)points respectively,which were significantly higher than(109.03±28.2)mL,(4.94±2.94)min,(81.05±35.22)points and(54.45±23.48)points respectively in the normal microcirculation resistance group,the differences in the above indexes between the two groups were statistically significant(all P＜0.05).A prediction model covering interventional strategies was established,and its accuracy was higher than that of a conventional model,its AUC compared with the conventional model was 0.91 to 0.87,indicating that this model could well predict the risk of microcirculation dysfunction in patients with AMI after receiving PCI.Conclusion This prediction model can promptly identify high-risk microcirculation dysfunction patients with anterior wall AMI after receiving PCI.
