Antibiotics Resistance Gene in Healthcare Workers
- Conditions
- Multidrug Resistant Bacterial Infection
- Interventions
- Other: metagenomics
- Registration Number
- NCT06228248
- Lead Sponsor
- First Affiliated Hospital of Zhejiang University
- Brief Summary
Multidrug resistant bacteria (MDR) pose a threat to the safety of patients worldwide. Drug resistant bacteria are commonly present in hospital environments and can cause infections, often leading to outbreaks within hospitals. Cross transmission through medical staff has been proven to be a significant cause of MDR bacterial transmission in hospitals. Although some studies have shown that the detection of gut drug-resistant bacteria in healthcare workers is similar to that in healthy individuals, these studies are limited to small sample sizes and detection methods. Here, the investigator characterize the differences between ARG colonization among healthcare workers and healthy populations through deep metagenomics.
- Detailed Description
Understanding the antibiotic resistant genes in the intestinal microbiome of medical workers can reveal their exposure history to antibiotics and the status of antibiotic resistance. The gut microbiome of medical staff may be one of the important sources of MDR transmission. The contact between medical staff and patients is one of the main ways of MDR transmission in hospitals. Understanding the types and distribution of antibiotic resistant genes of gut microbiome of medical workers can assess the risk of MDR transmission in the hospital, help to assess them as the potential source of MDR transmission, and then take targeted prevention and control measures.
In order to better understand the role of medical staff in the transmission of MDR, it is necessary to conduct research on larger sample size and more sensitive detection methods. Metagenomics studies the genomes of all microorganisms in the microbial ecological community. It constructs a metagenomic library by directly extracting the DNA or RNA of all microorganisms from environmental samples, studies the species composition and functional composition of the community, the interaction of different microorganisms in the same population, and the interaction between microbial communities and hosts, and makes a comparative analysis of samples with different phenotypes. With the characteristics of high data flux, low cost and fast speed, it has become a powerful tool for the study of gut microbe.
To sum up, MDR poses a serious threat to global security. In order to deal with this problem, more in-depth and comprehensive research is needed to understand the transmission route of MDR in the hospital. The investigator evaluated the difference between the gut microbe antibiotic resistant genes abundance of medical workers, especially medical workers in the ICU, and healthy people through in-depth sequencing, which helps to provide information on the potential role of medical staff in the transmission of MDR, and is essential for formulating effective prevention and control strategies.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 250
- Age greater than 18 years old
- The subjects fully understand and sign the informed consent form
- Existence of gastrointestinal diseases, malignant tumors, and psychiatric disorders
- Have taken broad-spectrum antibiotics within 6 months
- Pregnant women
For healthy control:
Inclusion Criteria:
- Age greater than 18 years old
- The subjects fully understand and sign the informed consent form
Exclusion Criteria:
- Previously or currently engaged in medical related work
- Existence of gastrointestinal diseases, malignant tumors, and psychiatric disorders
- Have taken broad-spectrum antibiotics within 6 months
- Pregnant women
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description health population metagenomics Healthy individuals who do not engage in medical work medical worker metagenomics Medical workers working in clinical settings, including nurses, doctors, and Health care worker.
- Primary Outcome Measures
Name Time Method Differences in GUT ARG abundance between two groups 1 year After conducting metagenomic testing, the investigator will analyze the raw data according to the preset protocol process and report the gut ARG abundance of different individuals. Subsequently, the difference in ARG abundance between the two groups of patients will be compared.
- Secondary Outcome Measures
Name Time Method The association of occupational exposure time in the ICU environment and ARG 1 year After conducting metagenomic testing, the investigator will analyze the raw data according to the preset protocol process and report the gut ARG abundance of different individuals. Subsequently, the investigator will assess the correlation between occupational exposure time in the ICU environment and ARGs abundance of two groups.
Trial Locations
- Locations (8)
First Affiliated Hospital of Zhejiang University School of Medicine
🇨🇳Hangzhou, Zhejiang, China
The First Hospital of Jiaxing
🇨🇳Jiaxing, China
Lishui People's Hospital
🇨🇳Lishui, China
The First People's Hospital of Pinghu
🇨🇳Pinghu, China
Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University
🇨🇳Taizhou, China
Henan Provincial People's Hospital
🇨🇳Zhengzhou, China
The Fifth Clinical Medical College of Henan University of Chinese Medicine
🇨🇳Zhengzhou, China
The Second Affiliated Hospital of Zhengzhou University
🇨🇳Zhengzhou, China