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The corona virus disease (COVID) pandemic has highlighted the importance of rapid, readily available screeners and diagnostics to identify infected individuals. Recent studies have demonstrated that portable electronic nose sensing devices can detect volatile organic compounds (VOCs). These compounds are end products of human metabolism or of enteric bacteria and are excreted through the skin or exhaled breath. Importantly, the sensing devices can be adapted into a wearable device providing continuous monitoring. Our goal is to develop a battery-free, electronic nose sensor to serve as a screener and detect VOC patterns associated to patients with symptomatic and asymptomatic COVID-19 without being invasive. To test the screening ability, devices will be worn by COVID-19 positive and negative patients hospitalized at Nebraska Medicine.
Full description
Purpose. This study will assess the feasibility of using an electronic nose to detect signals indicating infection with severe acute respiratory distress syndrome corona virus-2 (SARS-CoV-2). Five different prototypes of electronic nose will be used that would be deployed differently: 1) a patch, 2) clipped to a garment neckline, 3) clipped to a garment waistline, 4) resting on a bedside table, and 5) integrated into a facemask. Data will be collected over a three day period to determine the quality of the smell-print signals collected by the different deployment regimes. Eligibility. Subjects admitted to University of Nebraska Medical Center (UNMC) with definite or suspected SARS-CoV-2 infection will be eligible. Subjects must have access to a smart phone and be well enough to engage in the active data collection. The goal is to enroll 30 SARS-CoV-2 infected and 30 uninfected individuals. Eligibility of controls will be extended to patients admitted to UNMC with other respiratory problems including chronic obstructive pulmonary disease (COPD) exacerbation, pneumonia and congestive heart failure if needed. Adults (19 years and older) are eligible. Subjects with allergic reactions to components of the devices will be excluded. Interventions and evaluations. Informed consent will be obtained remotely following which an app will be downloaded to their phone. A kit will be delivered to the patients room containing the five devices. The app will support: instruction on use of the devices, reminders to collect data every 2 hours between 08:00 and 20:00, and access to study personnel for support as needed. The app will transmit smell prints from the 5 devices to a secure cloud-based database. The study coordinator will oversee subject education and deployment of the devices by phone/facetime. Subjects will be instructed on use of the devices, which they will self-deploy in positions that do not interfere with any medical equipment. The patch, clip-ons and bedside sensor will be worn continuously from 08:00 to 20:00. The mask will be placed for 5 minutes before each data collection, which will be timed by the phone app. The mask can then be removed until the next data collection. Smell-print data will be collected for three days. Following this, the devices will be replaced into the kit box and collected by the nursing staff. Clinical data will be collected from the electronic health record. Follow up. Following completion of the study, subjects will be asked to complete a brief questionnaire on the experience and asked about their willingness to be contacted for further interviews.
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Inclusion criteria
°Admission for definite or suspected SARS-CoV-2 infection with mild to moderate symptoms and clinical features.
If insufficient numbers of suspected cases who test negative, individuals admitted with other respiratory problems: COPD exacerbation, viral pneumonia, congestive heart failure who test negative for SARS-CoV-2 will be eligible as controls.
Exclusion criteria
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Data sourced from clinicaltrials.gov
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