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

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University Hospital Basel

Status

Enrolling

Conditions

Multiresistant Bacterial Pathogens
Virulent Bacterial Pathogens

Treatments

Diagnostic Test: Analysis of Bacterial Genome

Study type

Observational

Funder types

Other

Identifiers

NCT04172025
2019-01291 qu19Egli5;

Details and patient eligibility

About

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.

Full description

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.

Enrollment

10,000 estimated patients

Sex

All

Volunteers

No Healthy Volunteers

Inclusion criteria

  • 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.

Exclusion criteria

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

Trial design

10,000 participants in 1 patient group

Patients with colonization or infections with a pathogen
Description:
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
Treatment:
Diagnostic Test: Analysis of Bacterial Genome

Trial contacts and locations

5

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Central trial contact

Aitana Lebrand, Dr.; Hans Hirsch, Prof. Dr.

Data sourced from clinicaltrials.gov

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