Ashford and St Peter's Hospitals NHS Foundation Trust
Chertsey, Surrey, KT16 0PZ, United Kingdom
NCT Number: NCT04459962
Can Nanotechnology Biomarker Tagging (NBT) be used to detect COVID-19 infection in people presenting for COVID-19 testing?
NBT can be used to detect the substances present in a person's breath. In this study the breath of people presenting for COVID-19 testing is going to be analysed. Analysing a large number of samples from people with COVID-19 (as confirmed by the standard swab test used by the NHS) will enable a breath profile to be produced, ie the substances present in the breath when someone has COVID-19. After the profile has been validated, NBT can be used to test whether or not a person has COVID-19 by seeing if their breath matches the profile.
Using this technology for COVID-19 testing has advantages over the current standard test. The sample can be analysed immediately in the clinical setting and the results are available in 5-10 minutes, so if the person tests negative they can go back to their normal life straight away. The current swab test takes around 72 hours for the results to be available, and the person needs to self-isolate during this time in case they test positive, resulting in potentially unnecessary days of work missed and inconvenience. The breath test is non-invasive and is unlikely to cause any discomfort, as the person is only required to breath normally into the device. This study will also review the practicalities of using this test. It is quick and easy to train people in how to carry out the test, so it could potentially easily be rolled out to testing sites.
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Notify Me16 year and older
All sexes
Interventional
Not applicable
Chertsey, Surrey, KT16 0PZ, United Kingdom
This is a Cohort Study which will collect non-invasive, expired breath sample, cheek swab and a Medical and Lifestyle questionnaire from participants.
When the participant presents for COVID-19 testing they will be asked to provide a cheek swab and breath sample, and complete the study questionnaire. They will not need to give any identifiable information or have a second visit. The samples will be analysed immediately and disposed of as clinical waste. ANCON will then use the data to build a breath profile of COVID-19 infection.
Sample and data collection method for inpatients:
Anonymous Questionnaire - Each participant will be asked questions in the form of a short standard questionnaire based on:
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Breath Sample and Cheek Swab of participants will be used for machine learning (NBT - Nanobiotechnology Biomarkers Tagging) system to develop a profile which can be used later on for Covid-19 Diagnosis.
Time frame: 6 Months
This will be measured by identification of VOCs present in the breath sample of the COVID-19 positive and their relative concentrations compared to a COVID-19 negative breath sample. These will be combined to provide a COVID-19 positive profile
Time frame: 6 months
This will be measured by identification of VOCs present in the breath sample of the COVID-19 positive and their relative concentrations compared to a COVID-19 negative breath sample using ML. These will be combined to provide a COVID-19 positive profile.
Time frame: 6 months
The patient samples that return COVID-19 negative will be used as controls for identification of VOCs and relative concentrations that are common to all samples.
Ancon Technologies Ltd
Industry
Breath Test Feasibility Trial for Covid-19 Infection Diagnosis
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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