中文摘要：

目的探讨老年冠心病患者医院感染的危险因素及防治对策，为预防老年冠心病患者医院感染提供科学依据。方法回顾性分析2011年2月-2013年2月464例60-85岁的老年冠心病患者临床资料，统计其医院感染率，采用SPSS19．0软件对所有数据进行统计分析。结果464例老年冠心病患者中有64例发生医院感染，感染率为13．8％；发生呼吸系统感染42例、泌尿系统感染11例、胃肠道感染5例、口腔感染3例、其他部位3例，分别占65．6％、17．2％、7．8％、4．7％、4．7％；感染病原菌以革兰阴性菌为主占55．3％；老年冠心病患者医院感染的发生与患者年龄、住院天数、合并基础疾病、心功能低下、抗菌药物使用以及侵入性操作有关，差异有统计学意义（P〈0．05）。结论年龄、住院天数、合并基础疾病、心功能低下、抗菌药物的使用以及侵入性操作是老年冠心病患者医院感染的危险因素，针对以上环节采取相应的措施，对于预防医院感染具有重要意义。

英文摘要：

OBJECTIVE To explore the risk factors and prevention measures for nosocomial infections in senile patients with coronary heart disease and provide the scientific basis for prevention of nosocomial infections in senile patients with coronary heart disease. METHODS A retrospective analysis was conducted on the clinical data of 464 senile patients of 60-85 years old with coronary heart disease treated in our hospital from Feb. 2011 to Feb. 2013. The condition of nosocomial infection rates were summarized, and the statistical analysis of all data was performed using SPSS19.0 software. RESULTS Among the 464 senile patients with coronary heart disease, 64 patients had nosocomial infections with the infection rate of 13.8~. 42 cases were respiratory system infections, 11 cases were urinary tract infections, 5 cases were gastrointestinal tract infections, 3 cases were oral infections, and 3 cases were other sites of the infections, accounting for 65. 6%, 17.2%, 7. 8%, 4. 7%, 4. 7%, respectively. The main pathogenic bacteria were gram-negative bacteria （55. 3%）. Age, the length of hospitalization, combined underlying disease, cardiac function, antibacterial agents and invasive operation were correlated with occurrence of nosocomial infections, and the difference between the two groups was significant（P 〈0. 05）. CONCLUSION The risk factors for nosocomial infection in senile patients with coronary heart disease are age, the length of hospitalization, combined underlying disease, cardiac function, antibacterial agents and invasive operation, It is meaningful to take preventive measures to control related risk factors so as to reduce the nosocomial infections.