Role of the Microbiota in the Evolution of the SARS-CoV-2 Disease,COVID-19, in Hospitalized Patients (MicrobioCOVID)

Role of the Microbiota in the Evolution of the SARS-CoV-2 Disease in Hospitalized Patients

Patients hospitalized for COVID-19 may need intensive care (e.g. mechanical ventilation) during hospitalization. Some risk factors are already known but better targeting of such patients is still needed, at least because existing risk factors are not strong enough to provide an accurate prediction. Care organization would benefit for such a predictive tool.

Oropharyngeal and gut microbiota could potentially fill a significant gap in predictive performances. The investigators therefore propose to sample 200 patients (oropharyngeal and rectal swab) admitted in infectious disease department at Bichat Hospital and at high risk of needing intensive care during hospitalization. The investigators plan to perform metagenomic sequencing and bioinformatic analysis of these samples to characterize the diversity of bacterial species present in the oropharynx and the gut and to identify new factors associated with the need for intensive care. Aside metagenomic analyses, The investigators will perform semi-quantitative cultures of the oropharyngeal and gut microbiota to identify and quantify pathogens in order to predict the risk of bacterial infections in COVD-19 patients.

For patients transferred in intensive care unit, The investigators will to perform another series of samples to better characterize the evolution of microbiota during mechanical ventilation and identify factors associated with the risk of developing a ventilator-associated pneumonia.

Microbiota data will be considered together with the host genotype, the viral sequence and a deep immunological profiling to identify the main determinants of the evolution toward severity of COVID-19.

Study Overview

Detailed Description

Patients hospitalized for COVID-19 may need intensive care (e.g. mechanical ventilation) during hospitalization. Some risk factors are already known (e.g. sex, comorbidities, initial clinical presentation inflammatory cytokines), but better targeting of such patients is still needed, at least because existing risk factors are not strong enough to provide an accurate prediction. Care organization would benefit for such a predictive tool.

Oropharyngeal and gut microbiota could fill a significant gap in predictive performances. The investigators therefore propose to take advantage of the French-COVID cohort and sample 200 patients (oropharyngeal and rectal swab) admitted in infectious disease department at Bichat Hospital and at high risk of needing intensive care during hospitalization. The investigators plan to perform metagenomic sequencing and bioinformatic analysis of these samples to characterize the diversity of bacterial species present in the oropharynx and the gut and to identify new factors associated with the need for intensive care. Aside metagenomic analyses, The investigators will perform semi-quantitative cultures of the oropharyngeal and gut microbiota to identify and quantify pathogens in order to predict the risk of bacterial infections in COVD-19 patients.

The genetic determinants of the host (the patient) could also be predictive of the severity of the disease and so does the immunological response to the COVID-19. Likewise, it has been suggested that certain mutations (notably the D614G mutation) of the viral sequence could be associated with the infectivity of the virus.

In addition to the direct role of the microbiota in the course of infection, the immune characteristics specific to the host, by themselves or in interaction with the microbiota, could play an important role in the progression of the disease.

This project focuses on the clinical characterization of COVID-19 and its evolution, as well as disease management.

The research focuses on 4 main areas:

  • Characterization of the oropharyngeal and intestinal microbiota of patients with COVID-19
  • Characteristics of the host (genotype)
  • Immune characteristics of the host
  • Characteristics of the SARS-CoV-2 viral genome

For patients transferred in intensive care unit, The investigators will to perform another series of samples to better characterize the evolution of microbiota during mechanical ventilation and identify factors associated with the risk of developing a ventilator-associated pneumonia.

Study Type

Observational

Enrollment (Anticipated)

200

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Adult patient with documented SARS-CoV-2 infection requiring hospitalization.

Description

Inclusion Criteria:

  • Adult patient with documented SARS-CoV-2 infection requiring hospitalization.

Exclusion Criteria:

  • Lack of consent
  • Patients hospitalized in an intensive care unit
  • Patient under guardianship or curatorship

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Patients hospitalized for COVID-19
analysis of oropharyngeal and intestinal microbiota
analysis of a part of host genotype
analysis of host immune factors
analysis of viral sequence

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Identify risk factors associated with severe forms of COVID-19 requiring transfer to ICU
Time Frame: day 14
The main endpoint is the indication of worsening of the general condition requiring transfer to ICU
day 14

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Link between the composition of the gut microbiota and admission to intensive care
Time Frame: 3 months
Composition of the gut microbiota on admission to intensive care to predict the outcome of severe COVID-19 in patients transferred to the ICU (subgroup analysis)
3 months
Predictive performance of semi-quantitative culture and rapid metagenomic evaluation
Time Frame: 3 months
Predictive performance of semi-quantitative culture and rapid metagenomic evaluation of the oropharyngeal microbiota to predict the occurrence of VAP in patients admitted to an ICU and mechanically ventilated (subgroup analysis).
3 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

December 4, 2020

Primary Completion (Actual)

December 4, 2021

Study Completion (Anticipated)

August 31, 2022

Study Registration Dates

First Submitted

November 19, 2020

First Submitted That Met QC Criteria

December 15, 2020

First Posted (Actual)

December 17, 2020

Study Record Updates

Last Update Posted (Actual)

June 24, 2022

Last Update Submitted That Met QC Criteria

June 20, 2022

Last Verified

March 1, 2022

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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