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Study Information

dbGaP Study Accession: phs002600

NIH Institute/Center: NCATS

RADx Data Program: RADx-rad

Release Date: 08/02/2022

DOI: 10.60773/67qn-0273

Study Description: The data herein combined GC-MS and GC-DMS analysis of exhaled breath vapor compounds. The intent of this study was to develop a portable GC-DMS system to diagnose SARS-CoV-2 infections from a breath sample. The data were collected from hundreds of subjects in an IRB-sanctioned study. Breath vapor samples were collected from COVID-19(+) patients, including asymptomatic and symptomatic, and from healthy COVID-19(-) controls. Relevant human demographic information was also collected such as age, gender, height, weight, symptoms at time of sampling, etc.

Updated Date: 01/18/2024

Principal Investigator: Davis, Cristina Elizabeth

Has Data Files: Yes

Study Domain: Novel Biosensing or VOC; Virological Testing

Data Collection Method: Breath Analysis or Airborne Detection Device

Keywords: COVID-Positive Patients

Study Design: Device Validation

Multi-Center Study: No

Data Types: Clinical; Electronic Medical Records; Metabolomic; Questionnaire or Survey

Study Start Date: 12/21/2020

Study End Date: 02/28/2023

Species: Human

Estimated Cohort Size: 700

Study Population Focus: Adults; Older Adults or Elderly

Publication URL: https://pubmed.ncbi.nlm.nih.gov/33616417/; https://pubmed.ncbi.nlm.nih.gov/33616417/; https://pubmed.ncbi.nlm.nih.gov/33858010/; https://pubmed.ncbi.nlm.nih.gov/33858010/; https://pubmed.ncbi.nlm.nih.gov/34343985/; https://pubmed.ncbi.nlm.nih.gov/34663766/; https://pubmed.ncbi.nlm.nih.gov/34663766/; https://pubmed.ncbi.nlm.nih.gov/34852327/; https://pubmed.ncbi.nlm.nih.gov/34852327/; https://pubmed.ncbi.nlm.nih.gov/35508102/; https://pubmed.ncbi.nlm.nih.gov/35508102/; https://pubmed.ncbi.nlm.nih.gov/35968834/; https://pubmed.ncbi.nlm.nih.gov/35968834/; https://pubmed.ncbi.nlm.nih.gov/36363914/; https://pubmed.ncbi.nlm.nih.gov/36363914/; https://pubmed.ncbi.nlm.nih.gov/36482179/; https://pubmed.ncbi.nlm.nih.gov/36482179/; https://pubmed.ncbi.nlm.nih.gov/37207635/; https://pubmed.ncbi.nlm.nih.gov/37207635/; https://pubmed.ncbi.nlm.nih.gov/37216348/

Acknowledgement Statement: This study was supported through funding, 4U18TR003795-02, for the National Center for Advancing Translational Sciences (NCATS) as part of the RADx-rad program. Approved users should acknowledge the provision of data access by dbGaP for accession phs002600.v1.p1, and the NIH RADx Data Hub. Approved users should also acknowledge the specific version(s) of the dataset(s) obtained from the NIH RADx Data Hub.

Funding Opportunity Announcement (FOA) Number: RFA-OD-20-017

NIH Grant or Contract Number(s): 4U18TR003795-02

Consent/Data Use Limitations: General Research Use

Data Files
Total Files: 15
Data Files: 5
Metadata Files: 5
Dictionary Files: 5
Study Datasets Table
File Name
File Type
File Format(s)
# of Records
# of Variables
Metadata
Dictionary
rad_017_795-01_technology_DATA_origcopy.csvTabular Data - Non-harmonizedcsv1
rad_017_795-01_performance_DATA_origcopy.csvTabular Data - Non-harmonizedcsv3
rad_017_795-01_subject_DATA_origcopy.csvTabular Data - Non-harmonizedcsv213
rad_017_795-01_subject_DATA_transformcopy.csvTabular Data - Harmonizedcsv213
rad_017_795-01_voc_DATA_origcopy.csvTabular Data - Non-harmonizedcsv15120