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急性心肌梗死患者住院期间死亡的危险因素分析
引用本文:郑常龙,刘春新,陈昕. 急性心肌梗死患者住院期间死亡的危险因素分析[J]. 医疗保健器具, 2014, 0(9): 1123-1124
作者姓名:郑常龙  刘春新  陈昕
作者单位:中山大学附属第三医院急诊科,广东广州510630
摘    要:目的探讨影响急性心肌梗死患者住院期间死亡的危险因素。方法338例急性心肌梗死患者根据住院期间死亡与否分成死亡组和存活纽.回顾性分析两纽患者的临床资料,对可能影响死亡的危险因素通过Logistic回归进行分析。结果338例患者中.病死率为9.2%(31/338)。死亡组在年龄>65岁、入院时收缩压<100mmHg、心率>100次/min、Killip分级>儿级、肾功能不全、前壁心肌梗死、新发心房颤动、恶性心律失常、心源性休克等指标与存活组相比,有显著性差异(P<0.05)。多因素Logistic回归分析表明,Killip分级>Ⅱ级、新发心房颤动、恶性心律失常、肾功能不全是AMI患者住院期间死亡的独立危险因素。结论mmp分级>Ⅱ级、新发心房颤动、恶性心律失常、肾功能不全是AMI患者住院期间死亡的独立危险因素。

关 键 词:急性心肌梗死  病死率  危险因素分析

Risk Factors Analysis of In-hospital Death of Acute Myocardial Infarction Patients
ZHENG Changlong,LIU Chunxin,CHEN Xin. Risk Factors Analysis of In-hospital Death of Acute Myocardial Infarction Patients[J]. Medicine Healthcare Apparatus, 2014, 0(9): 1123-1124
Authors:ZHENG Changlong  LIU Chunxin  CHEN Xin
Affiliation:(The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China)
Abstract:Objective To investigate the risk factors of in-hospital mortality in patients with acute myocardial infarction (AMI). Methods 338 AMI patients were divided into death group and survival group. The clinical data were retrospectively analyzed. Logistic regression analysis was used to predict the risk factor of in-hospital death of AMI patients. Results 31 patients died during hospitalization. Univariate analysis showed that over 65 years of age, systolic blood pressure 〈100 mm Hg, heart rate 〉100 beats / rain, Killip class 〉Ⅱ, the rates of renal insufficiency, anterior myocardial infarction, new-onset atrial fibrillation, malignant arrhythmia and cardiogenic shock were significant different between the two groups (P 〈0.05). Killip class 〉Ⅱ , new-onset atrial fibrillation, malignant arrhythmia, renal insufficiency were independent risk factors for in-hospital mortality in patients with AMI. Conclusions Killip class 〉Ⅱ, new-onset atrial fibrillation, malignant arrhythmias, renal dysfunction are independent risk factors for in-hospital mortality in patients with AMI.
Keywords:Acute myocardial infarction  Mortality  Risk factors analysis
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