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作 者:吴晓琴 郭风 石理冉 李瑾 阚红侠 李艾英 WU Xiao-qin;GUO Feng;SHI Li-ran;LI Jin;KAN Hong-xia;LI Ai-ying(Department of Infection Management,The People’s Hospital of Jiawang District of Xuzhou City,Xuzhou 221011,China)
机构地区:[1]江苏省徐州市贾汪区人民医院感染管理科,江苏徐州221011
出 处:《中国感染控制杂志》2024年第12期1537-1543,共7页Chinese Journal of Infection Control
基 金:徐州市科技局科研基金资助(KC22280);徐州市科技局重大科研项目基金资助项目编号(KC23142);江苏省医院协会科研基金资助(JSYGY-3-2023-288)。
摘 要:目的采用荟萃分析的方法,系统评价中国医疗机构开展主动筛查对耐碳青霉烯类肠杆菌目细菌(CRE)医院感染的防控效果。方法计算机检索万方数据库、维普医学网、中国知网、中国生物医学文献数据库、Embase、PubMed、Cochrane Library、Web of Science 8个数据库自建库至2024年4月发表的关于中国医疗机构CRE主动筛查联合干预的研究,采用Meta分析研究主动筛查联合干预对CRE的防控效果。结果共纳入文献14篇,含12篇非随机对照研究,2篇随机对照研究。Meta分析结果显示,开展住院患者CRE主动筛查并及时采取干预措施可有效降低CRE医院感染发病率[相对危险度(RR)=0.51,95%CI(0.43,0.61),P<0.05]。结论开展住院患者的CRE主动筛查联合干预能有效降低CRE医院内交叉感染的风险。Objective To systematically evaluate the effectiveness of active screening in the prevention and control of healthcare-associated infection(HAI)with carbapenem-resistant Enterobacterales(CRE)in Chinese medical institutions through Meta-analysis.Methods Studies on active screening combined with intervention for CRE in Chinese medical institutions published from the establishment of databases to April 2024 were retrieved from Wanfang Database,VIP database,China National Knowledge Infrastructure,China Biomedical Literature Database,Embase,PubMed,Cochrane Library,and Web of Science.Meta-analysis was performed to study the effectiveness of active screening combined with intervention in CRE prevention and control.Results A total of 14 literatures were included in the analysis,including 12 non-randomized controlled studies and 2 randomized controlled studies.Meta-analysis results showed that active screening and timely intervention measures against CRE in hospitalized patients could effectively reduce the incidence of HAI with CRE(relative risk[RR]=0.51,95%CI[0.43,0.61],P<0.05).Conclusion Active screening combined with intervention for CRE among hospitalized patients can effectively reduce the risk of CRE cross infection in hospitals.
关 键 词:耐碳青霉烯类肠杆菌目细菌 主动筛查 医院感染 META分析
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