Respiratory Tract Infections Clinical Trial
— ResVirOfficial title:
ResVir Novel Technologies for Respiratory Virus Identification
NCT number | NCT05661032 |
Other study ID # | PHU/2022/64 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | January 18, 2023 |
Est. completion date | June 1, 2024 |
Current virus detection methods often take significant time or can be limited in sensitivity, specificity or cost. There is therefore a need for diagnostic methods that are simple to use, sensitive, rapid and inexpensive. This is a proof of concept study to determine whether the OxDx system (a new a rapid pathogen identification technology) is able to detect and differentiate different viruses from nasopharyngeal swabs/aspirate specimens. The data collected will be used to "train" the algorithms to be able to accurately identify respiratory viruses. The accuracy with which the algorithms estimate the test dataset will be monitored at regular intervals during the training dataset collection period. The OxDx system is still under development, which means that it is still "learning". The system needs to see more information so that it can be sufficiently accurate to be used in clinical practice and should become more accurate in identifying these viruses as it sees more and more information from patients. This study will take place at Portsmouth Hospitals University NHS Trust and aims to recruit 1000 patients. To do this, we will recruit both adults and children who either present to the emergency department or are admitted to QAH with a clinical suspicion of a respiratory viral infection. All participants will have a nose and/or throat swab taken as part of their clinical assessment, and we would ask to take a further nasal swab for the purpose of the study. Research sampling will be combined with routine clinical samples where possible to reduce the frequency of testing. We will use most of the information to teach the system how to become more accurate at identifying respiratory viruses. We will keep the remaining information separate and use it to test how accurate the system is. All of the data will be kept securely. Basic information will be collected including age, gender, results of blood tests taken for clinical review, treatment and outcome data. No results from the swabs taken for the purpose of the study will be available to either the participant or the clinical team and the information will have no effect on patient care.
Status | Recruiting |
Enrollment | 1000 |
Est. completion date | June 1, 2024 |
Est. primary completion date | June 1, 2024 |
Accepts healthy volunteers | |
Gender | All |
Age group | N/A and older |
Eligibility | Inclusion Criteria: - Provide informed, (parental/guardian, where appropriate) consent - Able to provide nasopharyngeal swab/aspirate specimens. - A clinical suspicion of a respiratory viral infection with one or more of the following symptoms: - Coryzal symptoms (runny nose, sneezing and/or nasal congestion) - New onset of cough - Sore throat - Head and/or Muscle aches - Fever or chills Exclusion Criteria: - Unable to comply with study procedures or where in the opinion of the investigator, undertaking a nasopharyngeal swab may be detrimental to the individual - Lacking capacity to consent |
Country | Name | City | State |
---|---|---|---|
United Kingdom | Portsmouth Hospitals NHS Trust, Queen Alexandra Hospital | Portsmouth | Hampshire |
Lead Sponsor | Collaborator |
---|---|
Portsmouth Hospitals NHS Trust |
United Kingdom,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | The OxDx system to detect viral pathogens from human derived samples | To determine whether the OxDx system is able to detect viral pathogens from human derived samples compared with gold standard methodologies used in NHS diagnostic settings | 6 months | |
Primary | Create a fluorescent based viral data pattern database | To create a fluorescent based viral data pattern database from human samples which can be used to interrogate machine learning algorithms to improve sensitivity and specificity for continued development of the technology | 6 months | |
Secondary | The prevalence of seasonal respiratory viruses in the local hospital community | Observe the prevalence of seasonal respiratory viruses in the local hospital community following the lifting of previous COVID restrictions to help direct future local IPC guidelines | 6 months | |
Secondary | Prevalence use of antibiotics for respiratory infections | Observe the use of antibiotics for respiratory infections to help understand prescribing patterns and any over or under use | 6 months |
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