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2018 - 2019年爱尔兰一家医院病房产OXA - 48碳青霉烯酶肠杆菌科细菌暴发的社交网络与基因组分析

Social network and genomic analysis of an OXA-48 carbapenemase-producing Enterobacterales hospital ward outbreak in Ireland, 2018-2019.

作者信息

Domegan Lisa, Brehony Carina, Fitzpatrick Fidelma, O'Connell Karina, Dinesh Binu, Cafferkey Jacqueline, Burns Karen

机构信息

Health Service Executive, Health Protection Surveillance Centre, Dublin, Ireland.

European Programme for Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control, (ECDC), Stockholm, Sweden.

出版信息

Infect Prev Pract. 2023 Apr 8;5(2):100282. doi: 10.1016/j.infpip.2023.100282. eCollection 2023 Jun.

Abstract

BACKGROUND

Nosocomial transmission and outbreaks of carbapenemase-producing Enterobacterales (CPE) represent a challenge to healthcare systems. In July 2018, a CPE hospital ward outbreak was declared. Our aim was to investigate transmission patterns, using social network analysis and genomics in a nosocomial CPE outbreak.

METHODS

A retrospective descriptive analysis of all patients (cases and contacts) admitted to a ward experiencing a CPE outbreak (2018-2019) was undertaken. A case had a negative CPE admission screen, and subsequent positive test. A contact shared a multi-bed area and/or facility with a case (>4 hours). Social networks, including genomics data and ward locations, were constructed. Network metrics were analysed.

FINDINGS

Forty-five cases and 844 contacts were analysed. The median age of cases was 78 years (IQR 67-83), 58% (n=26) were male and 100% had co-morbidities. The median outbreak ward length-of-stay (LOS) was 17 days (IQR 10-34). OXA-48 CPE was confirmed in all cases and from 26 environmental samples. Social networks identified clusters by time, gender and species/sequence type/plasmid. Network metrics indicated potential superspreading involving a subset of patients with behavioural issues.

CONCLUSION

Social networks elucidated high resolution transmission patterns involving two related OXA-48 plasmids, multiple species/genotypes and potential super-spreading. Interventions prevented intra-hospital spread. An older patient cohort, extended hospital LOS and frequent intra-ward bed transfers, coupled with suboptimal ward infrastructure, likely prolonged this outbreak. We recommend social network analysis contemporaneously with genomics (on case and environmental samples) for complex nosocomial outbreaks and bespoke care plans for patients with behavioural issues on outbreak wards.

摘要

背景

产碳青霉烯酶肠杆菌科细菌(CPE)的医院内传播和暴发对医疗系统构成了挑战。2018年7月,宣布了一起CPE医院病房暴发事件。我们的目的是在医院内CPE暴发中使用社会网络分析和基因组学来调查传播模式。

方法

对2018 - 2019年在发生CPE暴发的病房住院的所有患者(病例和接触者)进行回顾性描述分析。病例为入院时CPE筛查阴性,随后检测呈阳性。接触者与病例共用一个多床区域和/或设施(超过4小时)。构建了包括基因组学数据和病房位置的社会网络。分析了网络指标。

结果

分析了45例病例和844名接触者。病例的中位年龄为78岁(四分位间距67 - 83),58%(n = ‎26)为男性,100%有合并症。暴发病房的中位住院时间(LOS)为17天(四分位间距10 - 34)。在所有病例和26份环境样本中均确认了OXA - 48型CPE。社会网络按时间、性别和菌种/序列类型/质粒识别出了聚类。网络指标表明存在潜在的超级传播,涉及一部分有行为问题的患者。

结论

社会网络阐明了涉及两个相关OXA - 48质粒、多种菌种/基因型和潜在超级传播的高分辨率传播模式。干预措施防止了医院内传播。老年患者群体、延长的医院住院时间和频繁的病房内床位转移,再加上病房基础设施欠佳,可能延长了此次暴发。我们建议在复杂的医院内暴发中同时进行社会网络分析和基因组学分析(对病例和环境样本),并为暴发病房中有行为问题的患者制定定制化护理计划。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/850c/10164899/9f24b7110e70/gr1.jpg

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