Antibiotics Resistance Gene in Healthcare Workers

NCT ID: NCT06228248

Last Updated: 2025-02-26

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

250 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-01-18

Study Completion Date

2024-11-10

Brief Summary

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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

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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.

Conditions

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Multidrug Resistant Bacterial Infection

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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medical worker

Medical workers working in clinical settings, including nurses, doctors, and Health care worker.

metagenomics

Intervention Type OTHER

Feces used for metagenomic testing

health population

Healthy individuals who do not engage in medical work

metagenomics

Intervention Type OTHER

Feces used for metagenomic testing

Interventions

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metagenomics

Feces used for metagenomic testing

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

1. Age greater than 18 years old
2. The subjects fully understand and sign the informed consent form


1. Age greater than 18 years old
2. The subjects fully understand and sign the informed consent form

Exclusion Criteria

1. Existence of gastrointestinal diseases, malignant tumors, and psychiatric disorders
2. Have taken broad-spectrum antibiotics within 6 months
3. Pregnant women

For healthy control:


1. Previously or currently engaged in medical related work
2. Existence of gastrointestinal diseases, malignant tumors, and psychiatric disorders
3. Have taken broad-spectrum antibiotics within 6 months
4. Pregnant women
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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First Affiliated Hospital of Zhejiang University

OTHER

Sponsor Role lead

Responsible Party

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Lingtong Huang, MD

Principal investigator

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Lingtong Huang, M.D.

Role: PRINCIPAL_INVESTIGATOR

First Affiliated Hospital of Zhejiang University

Locations

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First Affiliated Hospital of Zhejiang University School of Medicine

Hangzhou, Zhejiang, China

Site Status

The First Hospital of Jiaxing

Jiaxing, , China

Site Status

Lishui People's Hospital

Lishui, , China

Site Status

The First People's Hospital of Pinghu

Pinghu, , China

Site Status

Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University

Taizhou, , China

Site Status

Henan Provincial People's Hospital

Zhengzhou, , China

Site Status

The Fifth Clinical Medical College of Henan University of Chinese Medicine

Zhengzhou, , China

Site Status

The Second Affiliated Hospital of Zhengzhou University

Zhengzhou, , China

Site Status

Countries

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China

References

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Huang L, Li K, Peng C, Gu S, Huang X, Gao C, Ren X, Cheng M, He G, Xu Y, Jiang Y, Wang H, Wang M, Shen P, Wang Q, He X, Zhong L, Wang S, Wang N, Zhang G, Cai H, Jiang C. Elevated antibiotic resistance gene abundance of ICU healthcare workers, a multicentre, cross-sectional study. Crit Care. 2025 Apr 30;29(1):170. doi: 10.1186/s13054-025-05408-5.

Reference Type DERIVED
PMID: 40307838 (View on PubMed)

Other Identifiers

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IIT20230455B

Identifier Type: -

Identifier Source: org_study_id

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