摘要
目的:探讨影响早发急性心肌梗死患者近期预后的危险因素,旨在为早期针对性对中青年急性心肌梗死患者进行干预提供参考依据。方法:收集我院心内科2005年10月～2011年10月期间住院治疗的983例早发急性心肌梗死患者为观察对象,按照患者3个月内死亡与否将其分为死亡组与存活组,采用自编问卷收集2组患者的临床资料。结果:单因素Logistic回归分析结果示体重指数、性别、动物性脂肪摄入量、高脂血症、心源性休克、心力衰竭、室颤、陈旧性心肌梗死史及冠心病家族史是早发急性心肌梗死3个月内死亡的危险因素,而多因素Logistic回归分析结果示高脂血症、心源性休克、心力衰竭及室颤是早发急性心肌梗死3个月内死亡的危险因素。结论:早发急性心肌梗死患者预后好坏受很多因素影响,患者入院后出现心源性休克、心力衰竭及室颤等症状,是早发急性心肌梗死患者预后不良的重要预测因素,重视高度危险因素的预测价值,对降低早发急性心肌梗死死亡率有重要参考价值。
Objective：The purpose of this study is to investigate the influential factors of patients with premature acute myocardial infarction to put forward directed intervention according to their risk factors of premature acute myocardial infarction.Methods：We collected clinical data of two hundred seventy-one cases of patients with acute myocardial infarction who were treated in the department of cardiology in our hospital from October 2005 to October 2011 by the self-made general data questionnaire,then they were divided into death group and survival group according to whether death or not within three months.Results：Univariate Logistic regression analysis showed that body mass index,gender,animal fat intake,hyperlipidemia,cardiogenic shock,heart failure,old myocardial infarction history and family history of coronary heart disease were the risk factors for death patients with acute myocardial infarction within three months;Multivariate logistic analysis showed that hyperlipidemia,cardiogenic shock,heart failure and ventricular fibrillation had a risk effect on death patients with acute myocardial infarction within three months.Conclusion：The influential factors of patients with acute myocardial infarction was affected by many factors,it is a significant poor predictor symptoms of cardiogenic shock and heart failure in patients with acute myocardial infarction,paid more attention for these significant rsikers,woulb be reduced morbility of premature acute myocardial infarction.
出处
《中国医药导刊》
2013年第1期20-21,共2页
Chinese Journal of Medicinal Guide
关键词
早发
急性心肌梗死
近期预后
危险因素
Premature
Acute myocardial infarction
Short-term prognosis
Risk factors
