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印度北部一家三级医疗机构中,由医疗相关感染监测网络检测到的血流感染暴发。

An outbreak of bloodstream infections in a tertiary-care facility in northern India detected by a healthcare-associated infection surveillance network.

作者信息

Fomda Bashir, Velayudhan Anoop, Siromany Valan A, Bashir Gulnaz, Nazir Shaista, Ali Aamir, Katoch Omika, Karoung Alphina, Gunjiyal Jacinta, Wani Nayeem, Roy Indranil, VanderEnde Daniel, Gupta Neil, Sharma Aditya, Malpiedi Paul, Walia Kamini, Mathur Purva

机构信息

Department of Microbiology, Sher-i-Kashmir Institute of Medical Sciences, Srinagar, India.

US Centers for Disease Control and Prevention, New Delhi, India.

出版信息

Infect Control Hosp Epidemiol. 2023 Mar;44(3):467-473. doi: 10.1017/ice.2022.111. Epub 2022 Jun 7.

DOI:10.1017/ice.2022.111
PMID:35670040
Abstract

OBJECTIVE

The burden of healthcare-associated infections (HAIs) is higher in low- and middle-income countries, but HAIs are often missed because surveillance is not conducted. Here, we describe the identification of and response to a cluster of complex (BCC) bloodstream infections (BSIs) associated with high mortality in a surgical ICU (SICU) that joined an HAI surveillance network.

SETTING

A 780-bed, tertiary-level, public teaching hospital in northern India.

METHODS

After detecting a cluster of BCC in the SICU, cases were identified by reviewing laboratory registers and automated identification and susceptibility testing outputs. Sociodemographic details, clinical records, and potential exposure histories were collected, and a self-appraisal of infection prevention and control (IPC) practices using assessment tools from the World Health Organization and the US Centers for Disease Control and Prevention was conducted. Training and feedback were provided to hospital staff. Environmental samples were collected from high-touch surfaces, intravenous medications, saline, and mouthwash.

RESULTS

Between October 2017 and October 2018, 183 BCC BSI cases were identified. Case records were available for 121 case patients. Of these 121 cases, 91 (75%) were male, the median age was 35 years, and 57 (47%) died. IPC scores were low in the areas of technical guidelines, human resources, and monitoring and evaluation. Of the 30 environmental samples, 4 grew BCC. A single source of the outbreak was not identified.

CONCLUSIONS

Implementing standardized HAI surveillance in a low-resource setting detected an ongoing outbreak. The outbreak investigation and use of a multimodal approach reduced incident cases and informed changes in IPC practices.

摘要

目的

低收入和中等收入国家医疗保健相关感染(HAIs)的负担更高,但由于未开展监测,HAIs往往未被发现。在此,我们描述了在加入HAI监测网络的外科重症监护病房(SICU)中识别并应对一组与高死亡率相关的复杂(嗜麦芽窄食单胞菌)血流感染(BSIs)的过程。

背景

印度北部一家拥有780张床位的三级公立教学医院。

方法

在SICU检测到一组嗜麦芽窄食单胞菌感染病例后,通过查阅实验室登记册以及自动识别和药敏试验结果来确定病例。收集社会人口学详细信息、临床记录和潜在暴露史,并使用世界卫生组织和美国疾病控制与预防中心的评估工具对感染预防与控制(IPC)措施进行自我评估。向医院工作人员提供培训和反馈。从高接触表面、静脉用药物、生理盐水和漱口水中采集环境样本。

结果

2017年10月至2018年10月期间,共识别出183例嗜麦芽窄食单胞菌血流感染病例。121例病例患者有病例记录。在这121例病例中,91例(75%)为男性,中位年龄为35岁,57例(47%)死亡。在技术指南、人力资源以及监测与评估方面,IPC评分较低。30份环境样本中,4份培养出嗜麦芽窄食单胞菌。未确定疫情的单一源头。

结论

在资源匮乏的环境中实施标准化的HAI监测发现了一起持续的疫情。疫情调查和采用多模式方法减少了发病病例,并为IPC措施的改变提供了依据。

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