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In this study, metagenomic sequencing (10G) results of stool samples from health care workers in ICU and non-medical professionals were compared to observe whether there are significant differences in community diversity, structure and function of intestinal microbiota and whether there are drug resistance genes carried by intestinal microbes, so as to determine whether long-term exposure to multi-pathogen environment in ICU has an impact on intestinal microbiota.
The infection rate of multidrug-resistant bacteria in critically ill patients in intensive care unit (ICU) is high, resulting in high mortality, prolonged hospitalization, and becoming a source of pathogen transmission. The front-line medical staff engaged in ICU are constantly in contact with patients and exposed to the intensive care unit (ICU) environment, and this high-risk contact and exposure makes many pathogenic microorganisms and their drug-resistance genes become part of the intestinal microbiota of ICU medical staff and are carried. So far, there have been no previous reports on the characteristics of intestinal microbiome and the drug resistance genes carried by ICU staff. Therefore, in this study, metagenomic sequencing (10G) results of stool samples from medical staff and non-medical professionals in ICU were compared to observe whether there are significant differences in community diversity, structure and function of intestinal microbiota and whether there are drug resistance genes carried by intestinal microbes, so as to determine whether long-term exposure to multi-pathogen environment in ICU has an impact on intestinal microbiota.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| ICU health care workers (exposed group) | The infection rate of multidrug-resistant bacteria in critically ill patients in intensive care unit (ICU) is high, the mortality rate of infected patients is high, which becomes the source of pathogen transmission. The front-line medical staff engaged in ICU are constantly in contact with patients and exposed to the intensive care unit (ICU) environment full of pathogens and even drug-resistant bacteria, and this high-risk contact and exposure makes many pathogenic microorganisms and their drug-resistant genes become part of the intestinal microbiota of ICU medical staff and are carried. Therefore, the exposure factor of the exposure group in this study was ICU environment. |
| |
| Non-medical professionals (non-exposed group) | This group is a non-exposed group, so the exposed factor is the daily living environment. |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Living conditions | Other | There are many patients with multi-resistant bacterial infections in intensive care units (ICU), making it possible for a great deal of these pathogens to exist in the ICU environment. The exposure factors in this study were ICU environment or daily living environment. |
| Measure | Description | Time Frame |
|---|---|---|
| Differences of antibiotic resistance genes-within the gut microbiota | Metagenomic sequencing (10G) will be performed on three days after inclusion, to compare the differences of antibiotic resistance genes-within the gut microbiota between ICU health care workers and non-medical professionals. | Within three days after inclusion. |
| Measure | Description | Time Frame |
|---|---|---|
| Patient Health Questionnaire (PHQ-9) score. | Correlation analysis of the relationship between the antibiotic resistance genes and the PHQ-9 score in ICU health care workers and non-medical professionals. | Within three days after inclusion. |
| Symptom checklist 90 (SCL-90) score |
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Inclusion Criteria:
Exclusion Criteria:
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Participants were enrolled according to strict inclusion and exclusion criteria and divided into ICU health care workers or non-medical professionals according to exposed factors.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology | Wuhan | Hubei | 430022 | China |
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| ID | Term |
|---|---|
| D012924 | Social Conditions |
| ID | Term |
|---|---|
| D012959 | Socioeconomic Factors |
| D011154 | Population Characteristics |
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Correlation analysis of the relationship between the antibiotic resistance genes and the SCL-90 score in ICU health care workers and non-medical professionals. |
| Within three days after inclusion. |
| Perceived Stress Scale (PSS) score | Correlation analysis of the relationship between the antibiotic resistance genes and the PSS score in ICU health care workers and non-medical professionals. | Within three days after inclusion. |
| International Physical Activity Questionnaire (IPAQ) score | Correlation analysis of the relationship between the antibiotic resistance genes and the IPAQ score in ICU health care workers and non-medical professionals. | Within three days after inclusion. |
| Pittsburgh sleep quality indexs (PSQI) score | Correlation analysis of the relationship between the antibiotic resistance genes and the PSQI score in ICU health care workers and non-medical professionals. | Within three days after inclusion. |