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作 者:曾凤[1] 李强[1] 杨健[1] ZENG Feng;LI Qiang;YANG Jian(Funing County People's Hospital,Funing 224400,China;不详)
出 处:《中外医学研究》2024年第24期156-159,共4页CHINESE AND FOREIGN MEDICAL RESEARCH
摘 要:目的:探讨阜宁县人民医院重症监护室(ICU)患者的肺部感染菌的特征及其影响因素。方法:回顾性地分析2021年6月—2023年7月阜宁县人民医院不同科室重症监护室收治的1682例患者的临床资料,统计肺部感染菌的种群分布情况。采用随机数表法从感染患者(n=108)和非感染患者(n=1574)中各随机抽取70例患者作为感染组(n=70)与非感染组(n=70),对所选样本采用单因素和多因素logistic回归分析ICU患者肺部感染的重要影响因素。结果:3年内,在1682例ICU患者中,发生肺部病原菌感染者108例。从感染的患者体内共分离出病原菌共计205株,其中革兰氏阴性菌147株(71.7%),阳性菌30株(14.6%),真菌28株(13.7%)。通过单因素和多因素logistic回归分析,ICU患者肺部病原菌感染与多种主要因素有关,其中包括ICU住院时间、广谱抗菌药物使用天数、糖皮质激素应用时间、是否使用气管插管、是否留置尿管气管插管、基础疾病。结论:ICU感染菌群以革兰氏阴性菌为主。引发ICU患者肺部感染的主要因素为ICU住院时间、广谱抗菌药物使用天数、糖皮质激素应用时间、是否使用气管插管、是否留置尿管气管插管、基础疾病种类数。Objective:To investigate the characteristics and influencing factors of pulmonary infections in ICU patients at Funing County People's Hospital.Method:A retrospective analysis of clinical data of 1682 ICU patients from various departments from June 2021 to July 2023,focusing on the distribution of pulmonary pathogens.70 patients were randomly selected from 108 infected patients and 1574 non-infected patients as infected group consisted of 70 cases and non-infected group consisted of 70 cases by random number table method.Univariate and multivariate logistic regression analyses were applied to determine significant factors influencing pulmonary infections in ICU patients.Result:Within three years,among 1682 ICU patients,108 developed pulmonary pathogen infections.A total of 205 pathogens were isolated,including 147 Gram-negative bacteria(71.7%),30 Gram-positive bacteria(14.6%)and 28 fungi(13.7%).The analysis revealed that ICU stay duration,broad-spectrum antibiotic use duration,corticosteroid use duration,intubation,indwelling catheter use,and underlying diseases were significant factors.Conclusion:The ICU infections were predominantly caused by Gram-negative bacteria.Major factors leading to pulmonary infections in ICU patients included ICU stay duration,use of broad-spectrum antibiotics,corticosteroid application,intubation,and underlying diseases.
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