ICU多重耐药菌感染的风险因素分析及护理预防策略研究
Analysis of Risk Factors and Nursing Prevention Strategies for ICU Multidrug-Resistant Bacterial Infections
DOI: 10.12677/ns.2026.152033, PDF,   
作者: 张婷婷, 郭亚萍*:泰兴市人民医院重症医学科,江苏 泰兴
关键词: ICU多重耐药菌风险因素ICU Multidrug-Resistant Bacteria Risk Factors
摘要: 目的:探讨ICU多重耐药菌(MDRO)感染的发生特点及其主要风险因素,并基于研究结果构建可操作性的护理预防策略体系,以降低感染发生率、改善重症患者预后。方法:采用回顾性研究方法,收集某三甲医院ICU 2022年1月至2023年12月期间432例患者的临床资料,包括人口学特征、基础疾病、侵入性操作、抗菌药物暴露及病原菌培养结果。通过单因素比较和多因素Logistic回归分析识别独立危险因素,并结合临床护理流程构建预防策略。结果:ICU MDRO感染发生率为29.17%。单因素分析显示年龄、APACHE II评分、机械通气时间、中心静脉置管时间、碳青霉烯类抗生素使用时长及肾功能不全等指标在感染组显著更高。多因素分析表明APACHE II评分(OR = 1.087)、机械通气时间(OR = 1.120)、中心静脉置管时间(OR = 1.102)、碳青霉烯类暴露时间(OR = 1.135)及肾功能不全(OR = 2.389)为独立危险因素。结论:ICU MDRO感染受疾病严重程度、侵入性操作及抗菌药物管理等多重因素影响。构建系统化的护理策略,包括风险评估、操作流程优化、抗菌药物管理及环境控制,可有效降低耐药菌感染风险,提高ICU护理质量与患者生存率。
Abstract: Object: To explore the characteristics and main risk factors of multidrug-resistant bacterial (MDRO) infection in ICU, and to construct an operable nursing prevention strategy system based on the research results, in order to reduce the incidence of infection and improve the prognosis of critically ill patients. Method: A retrospective study was conducted to collect clinical data of 432 patients in the ICU of a tertiary hospital from January 2022 to December 2023, including demographic characteristics, underlying diseases, invasive procedures, antibiotic exposure, and pathogen culture results. Identify independent risk factors through univariate comparison and multivariate logistic regression analysis, and construct prevention strategies in combination with clinical nursing processes. Result: The incidence of MDRO infection in ICU was 29.17%. Univariate analysis showed that age, APACHE II score, mechanical ventilation time, central venous catheterization time, duration of carbapenem antibiotic use, and renal dysfunction were significantly higher in the infection group. Multivariate analysis showed that APACHE II score (OR = 1.087), mechanical ventilation time (OR = 1.120), central venous catheterization time (OR = 1.102), carbapenem exposure time (OR = 1.135), and renal dysfunction (OR = 2.389) were independent risk factors. Conclusion: ICU MDRO infection is influenced by multiple factors such as disease severity, invasive procedures, and antibiotic management. Building a systematic nursing strategy, including risk assessment, operational process optimization, antibiotic management, and environmental control, can effectively reduce the risk of drug-resistant bacterial infections and improve the quality of ICU nursing and patient survival rate.
文章引用:张婷婷, 郭亚萍. ICU多重耐药菌感染的风险因素分析及护理预防策略研究[J]. 护理学, 2026, 15(2): 46-54. https://doi.org/10.12677/ns.2026.152033

参考文献

[1] 薛姣姣, 胡海, 刘磊. 超声评估糖尿病足溃疡合并感染的微循环变化及其与多重耐药菌感染的相关性[J]. 中国病原生物学杂志, 2025, 20(11): 1438-1443.
[2] 龚秀娥, 张小燕, 王博. 神经外科住院患者肺部多重耐药菌感染危险因素分析及集束化护理干预策略研究[J]. 中国病原生物学杂志, 2025, 20(11): 1408-1413.
[3] 路旭, 柯尊钰, 周悦, 等. 神经内科颅内感染多重耐药菌分布情况及影响因素调查[J]. 中国病原生物学杂志, 2025, 20(9): 1189-1193.
[4] 唐梦琦, 于茜, 沙珍萍, 等. 基于倾向指数匹配的ICU多重耐药菌医院感染经济负担评价[J]. 中华医院感染学杂志, 2025, 35(21): 3227-3231.
[5] 张艾, 朱欢. 基于DRGs的多重耐药菌医院感染监测及其经济负担评价[J]. 中华医院感染学杂志, 2025, 35(21): 3211-3215.
[6] 王琳, 屈妍. 多重耐药菌医院感染防控研究进展[J]. 中国防痨杂志, 2025, 47(9): 1196-1203.
[7] 石丽丽, 牛永祝, 张秀娟, 等. 医院多重耐药菌感染防控评价指标体系的构建与实证研究[J]. 现代预防医学, 2025, 52(13): 2471-2476+2490.
[8] 单娇, 怀伟, 孟珊珊, 等. 基于全球医院感染暴发数据库探讨烧伤患者多重耐药菌医院感染暴发流行特征及防控策略[J]. 中华医院感染学杂志, 2025, 35(17): 2592-2596.
[9] Schaumburg, T., Köhler, N., Breitenstein, Y., Kolbe-Busch, S., Hasenclever, D. and Chaberny, I.F. (2025) Publisher Correction: EFFECT of Daily Antiseptic Bathing with Octenidine on ICU-Acquired Bacteremia and ICU-Acquired Multidrug-Resistant Organisms: A Multicenter, Cluster-Randomized, Double-Blind, Placebo-Controlled, Cross-Over Study. Intensive Care Medicine, 51, 833-833. [Google Scholar] [CrossRef] [PubMed]
[10] Schaumburg, T., Köhler, N., Breitenstein, Y., Kolbe-Busch, S., Hasenclever, D. and Chaberny, I.F. (2024) EFFECT of Daily Antiseptic Bathing with Octenidine on ICU-Acquired Bacteremia and ICU-Acquired Multidrug-Resistant Organisms: A Multicenter, Cluster-Randomized, Double-Blind, Placebo-Controlled, Cross-Over Study. Intensive Care Medicine, 50, 2073-2082. [Google Scholar] [CrossRef] [PubMed]
[11] 王忠礼, 宋红升, 雷琪, 等. 神经内科颅内感染性疾病患者多重耐药菌感染危险因素分析[J]. 中国医院药学杂志, 2024, 44(18): 2135-2140.
[12] 宋红升, 王忠礼, 王宇萍. 国内ICU多重耐药菌感染患者的疾病负担Meta分析[J]. 中国抗生素杂志, 2024, 49(4): 427-437.
[13] Yang, S., Sun, Y., Wang, T., Hao, C., Zhang, H., Sun, W., et al. (2025) Machine Learning-Based Prediction of Mortality and Multidrug-Resistant Infection Risks in ICU Patients with Suspected Infection: A Prospective National Multicenter Cohort Study. BMC Infectious Diseases. [Google Scholar] [CrossRef
[14] Umer, M., Jagra, A.S., Hanif, F.M., Khan, M. and Sharma, H. (2025) Seven Days versus Extended Duration Antibiotic Therapy for Multidrug-Resistant Gram-Negative Bacterial Infections in Critically Ill Patients: A Pooled Analysis of the OPTIMISE and REGARD-VAP Trials. Journal of Critical Care, 92, Article 155361. [Google Scholar] [CrossRef
[15] Falagas, M.E., Kontogiannis, D.S., Romanos, L.T., Ragias, D., Agoranou, M.E. and Kakoullis, S.A. (2025) Intravenous Fosfomycin for Gram-Negative and Gram-Positive Bacterial Infections: A Systematic Review of the Clinical Evidence. Antibiotics, 14, Article 1193. [Google Scholar] [CrossRef