环境臭氧暴露与冠心病的严重程度:天冬氨酸氨基转移酶的预测作用
Ambient ozone exposure and the severity of coronary heart disease:A predicting role of aspartate aminotransferase
刘翠怡 1李昭源 2赵柏铭 3戴钟离 2王若男 2冯雨嘉 1彭爱红 1向浩 2万静1
作者信息
- 1. 武汉大学中南医院心内科 湖北 武汉 430071
- 2. 武汉大学公共卫生学院 湖北 武汉 430071
- 3. 武汉大学中南医院骨科 湖北 武汉 430071
- 折叠
摘要
目的:探讨臭氧暴露与冠心病严重程度的关系以及天冬氨酸氨基转移酶(AST)的中介作用.方法:回顾性分析武汉大学中南医院2016-2021年行冠状动脉造影的2 537例冠心病患者.根据SYNTAX评分将其分为低分组(0～22)和高分组(≥23).采用Logistic回归用于评估臭氧暴露与冠心病严重程度的关系,线性回归探讨臭氧暴露与AST的关系,中介效应分析评估血清AST在臭氧暴露与冠心病严重程度之间的预测作用.结果:臭氧浓度增加,罹患更严重的冠心病的风险增加(OR=1.072,P＜0.05).老年患者中AST(β=3.622,P＜0.05)与臭氧暴露呈正相关.同时AST在臭氧暴露和冠心病严重程度中起中介作用,中介效应量为13.1％.结论:长期臭氧暴露与冠心病的严重程度有关,并且AST可作为臭氧暴露下冠心病严重程度的预测指标.
Abstract
Objective:To explore the relationship between ambient ozone exposure and the severity of coro-nary heart disease(CHD)and the potential role of aspartate aminotransferase(AST).Methods:We in-cluded 2 537 CHD patients who had undergone coronary angiography from 2016 to 2021 at the Zhong-nan Hospital of Wuhan University.According to the SYNTAX score,they were categorized into low(0-22)or high(≥23)SYNTAX score groups.The logistic regression was used to fit the association between ozone exposure and the severity of CHD.Linear regression was performed to explore the re-lationship between ozone exposure and biochemical indicators.Mediation analysis was performed to examine the potential effect of AST in the association between ozone exposure and CHD severity.Results:As the ozone concentration increased,the risk of suffering from more severe CHD increased(OR=1.072,P＜0.05).AST(β=3.622,P＜0.05)was positively correlated with ozone exposure in elderly patients.Mediation analysis showed that AST mediated 13.1％(P=0.045)of the ozone-SYNTAX score association.Conclusion:This study indicated that long-term ozone exposure was as-sociated with the severity of CHD,and serum AST might be used as a predictor of the severity of CHD.
关键词
臭氧/冠心病/AST/中介效应分析Key words
Ambient Ozone/Coronary Heart Disease/Aspartate Aminotransferase/Mediation Analysis引用本文复制引用
基金项目
湖北省中医药局指导性项目(ZY2023F047)
出版年
2024
NETL
NSTL
万方数据