Virus-virus Interactions Among Patients Admitted to the Hospices Civils de Lyon, During 2022 to 2025 Winters Seasons (INTERVI)
Respiratory viruses circulate throughout the year, and particularly during the winter. Consequently, co-infections involving two or more viruses can occur. The study of virus-virus interactions at the population level is necessary to understand the dynamics of co-infections. Viruses such as IAV (influenza A virus) and rhinoviruses (common cold viruses) are known to have a negative interaction, mutually excluding one another, which results in a reduced likelihood of co-infection. The study of virus-virus interactions at the population level constitutes an essential first step towards understanding and characterising these phenomena at the individual level, and subsequently at the cellular level. Using integrative approaches combining epidemiological data, clinical observations and in vitro models, it has been shown that IAV and SARS-CoV-2 have a negative interaction, whilst potentially contributing to the severity of respiratory infections. This research also suggests that prior vaccination against IAV reduces the risk of severe forms of the disease.
Furthermore, viral co-infections appear to influence the severity of respiratory infections, particularly in children. Children appear to be more susceptible to these co-infections, with around 35% of cases reported, compared with 6% in adults. In this context, the study and characterisation of virus-virus interactions appear essential to better understand the pathophysiology of respiratory infections and improve the management of co-infected patients.
Every week, Dr Jean-Sébastien Casalegno publishes the Hospices Civils' epidemiological bulletin, which considers the prevalence of respiratory viruses detected at the Centre de Biologie et Pathologie Nord. This local dataset reports on the co-circulation of respiratory viruses and is of interest for the study of virus-virus interactions at a population level.
The impact of viral co-infections on the severity of respiratory infections remains a subject of debate in the literature. Understanding the dynamics of interaction between respiratory viruses at a population level, in order to identify preferential associations or exclusions, is essential for assessing the clinical impact of co-infections.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Locations
-
-
Rhone
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Lyon, Rhone, France, 69004
- Recruiting
- Infective Agents Institute, Croix rousse Hospital
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Contact:
- Sophie Trouillet-Assant, PhD
- Phone Number: 04 72 67 87 80
- Email: Sophie.trouillet-assant@chu-lyon.fr
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- - Any virological result (positive or negative) following a biological sample taken as part of routine care within the HCLs for the purpose of diagnosing a respiratory infection in a hospitalised patient.
- Patients of any age
- Samples taken during the winter periods between 2022 and 2025.
Exclusion Criteria:
- na
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Respiratory viral infections patients
Virologic results for biological samples collected as part of the diagnosis of respiratory viral infections in patients of all ages receiving routine care, regardless of their department of origin, during the winter periods from 2022 to 2025.
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Virologic results for biological samples collected as part of the diagnosis of respiratory viral infections in patients of all ages receiving routine care, regardless of their department of origin, during the winter periods from 2022 to 2025.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Virus-virus interactions over three consecutive winters
Time Frame: Baseline
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To characterize virus-virus interactions from 2022 to 2025 by assessing a co-infection exclusion score in order to identify, based on PCR results from respiratory samples collected over specific time periods (months/years), the preferred (positive) associations and exclusion (negative) relationships between respiratory viruses.
|
Baseline
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Prevalence of confirmed co-infections
Time Frame: Baseline
|
Frequency of virologically confirmed co-infections, defined as the proportion of participants with a positive RT-PCR test for at least two respiratory viruses.
|
Baseline
|
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Weekly circulation of respiratory viruses
Time Frame: Baseline
|
Description of the weekly circulation of respiratory viruses over the study period.
|
Baseline
|
|
Weekly prevalence of respiratory viruses
Time Frame: Baseline
|
Proportion of respiratory viruses detected among all samples taken during the study period, regardless of the PCR result.
|
Baseline
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- 26-5170
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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