跳至主要内容
临床试验/NCT04172025
NCT04172025招募中不适用

Development of a Swiss Surveillance Database for Molecular Epidemiology of Hypervirulent and Multi-drug Resistant Pathogens

University Hospital, Basel, Switzerland5 个研究点 分布在 1 个国家目标入组 10,000 人开始时间: 2019年9月30日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
发起方
入组人数
10,000
试验地点
5
主要终点
Identification of transmission clusters based on genetic similarity.

研究概览

简要总结

Hypervirulent and multidrug-resistant infections are associated with significant health care costs, substantial morbidity and mortality. Therefore, the rapid recognition of outbreaks and transmissions with hypervirulent and multi-drug resistant pathogen is a key priority for infection control and public health.The main goal is to implement a shared database, connecting human and veterinary microbiology laboratories, which would allow near real-time molecular epidemiology with high spatiotemporal resolution of bacterial pathogens such as transmission and outbreak surveillance between different compartments including humans, animals and the environment in Switzerland. Investigator aims to analyze already collected encoded retrospective datasets of various pathogens by combining epidemiological data and whole genome sequences from pathogens.

详细描述

Hypervirulent and multidrug-resistant infections are associated with significant health care costs, substantial morbidity and mortality. Therefore, the rapid recognition of outbreaks and transmissions with hypervirulent and multi-drug resistant pathogen is a key priority for infection control and public health. For hospital epidemiologist, infectious disease and public health experts, and microbiologists the identification of an outbreak source is a first important step to establish effective counter-measurements. In Switzerland, the burden of pathogen transmission between humans, animals and the environment is substantial. The main goal is to implement a shared database, connecting human and veterinary microbiology laboratories, which would allow near real-time molecular epidemiology with high spatiotemporal resolution of bacterial pathogens such as transmission and outbreak surveillance between different compartments including humans, animals and the environment in Switzerland. Investigator aims to analyze already collected encoded retrospective datasets of various pathogens by combining epidemiological data and whole genome sequences from pathogens.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Retrospective

入排标准

性别
All
接受健康志愿者

入选标准

  • All patients with either colonisations or infections with either a bacterial or a viral pathogen, where whole genome sequencing data and available minimal epidemiological, demographic and clinical data
  • Pathogens included into analysis are: Multidrug-resistant bacteria include: methicillin resistant Staphylococcus aureus (MRSA), Carbapenemase- and/or extended spectrum betalactamase (ESBL)-producing Enterobacteriaceae and non-fermenting bacteria including Pseudomonas aeruginosa and Acinetobacter baumannii, Vancomycin resistant Enterococcus faecium, and others; virulent bacteria include: Neisseria meningitidis, Neisseria gonorrhoeae, Mycobacterium tuberculosis, Campylobacter spp., Salmonella spp., Legionella pneumophila, Listeria monocytogenes, and Streptococcus pneumoniae, and others; Viruses include: Influenza viruses, Measles virus, Enterovirus E68, Respiratory Syncytial Virus and others.

排除标准

  • Decline to sign a general consent or any other declining statement against using data for research purposes.

结局指标

主要结局

Identification of transmission clusters based on genetic similarity.

时间窗: Onetime identification at baseline

Identification of transmission clusters based on genetic similarity. With focus on whole genome sequencing.

次要结局

  • Detection of Genotypic Resistance(Onetime identification at baseline)

研究者

发起方
University Hospital, Basel, Switzerland
申办方类型
Other
责任方
Sponsor

研究点 (5)

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