Elucidating symptoms of COVID-19 illness in the Arizona CoVHORT: A longitudinal cohort study
Author
Khan, S.M.Farland, L.V.
Catalfamo, C.J.
Austhof, E.
Bell, M.L.
Chen, Z.
Cordova-Marks, F.
Ernst, K.C.
Garcia-Filion, P.
Heslin, K.M.
Hoskinson, J.
Jehn, M.L.
Joseph, E.C.S.
Kelley, C.P.
Klimentidis, Y.
Russo Carroll, S.
Kohler, L.N.
Pogreba-Brown, K.
Jacobs, E.T.
Affiliation
Department of Epidemiology and Biostatistics, The University of ArizonaThe University of Arizona Cancer Center
Department of Health Promotion Sciences, The University of Arizona
Department of Biomedical Informatics, The University of Arizona
Department of Community, Environment, and Policy, The University of Arizona
Native Nations Institute at the Udall Center for Studies in Public Policy, The University of Arizona
Issue Date
2022
Metadata
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BMJ Publishing GroupCitation
Khan, S. M., Farland, L. V., Catalfamo, C. J., Austhof, E., Bell, M. L., Chen, Z., Cordova-Marks, F., Ernst, K. C., Garcia-Filion, P., Heslin, K. M., Hoskinson, J., Jehn, M. L., Joseph, E. C. S., Kelley, C. P., Klimentidis, Y., Russo Carroll, S., Kohler, L. N., Pogreba-Brown, K., & Jacobs, E. T. (2022). Elucidating symptoms of COVID-19 illness in the Arizona CoVHORT: A longitudinal cohort study. BMJ Open.Journal
BMJ OpenRights
Copyright © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Objective To elucidate the symptoms of laboratory-confirmed COVID-19 cases as compared with laboratory-confirmed negative individuals and to the untested general population among all participants who reported symptoms within a large prospective cohort study. Setting and design This work was conducted within the framework of the Arizona CoVHORT, a longitudinal prospective cohort study conducted among Arizona residents. Participants Eligible participants were any individual living in Arizona and were recruited from across Arizona via COVID-19 case investigations, participation in testing studies and a postcard mailing effort. Primary and secondary outcome measures The primary outcome measure was a comparison of the type and frequency of symptoms between COVID-19-positive cases, tested but negative individuals and the general untested population who reported experiencing symptoms consistent with COVID-19. Results Of the 1335 laboratory-confirmed COVID-19 cases, 180 (13.5%) reported having no symptoms. Of those that did report symptoms, the most commonly reported were fatigue (82.2%), headache (74.6%), aches, pains or sore muscles (66.3%), loss of taste or smell (62.8) and cough (61.9%). In adjusted logistic regression models, COVID-19-positive participants were more likely than negative participants to experience loss of taste and smell (OR 12.1; 95% CI 9.6 to 15.2), bone or nerve pain (OR 3.0; 95% CI 2.2 to 4.1), headache (OR 2.6; 95% CI 2.2 to 3.2), nausea (OR 2.4; 95% CI 1.9 to 3.1) or diarrhoea (OR 2.1; 95% CI 1.7 to 2.6). Fatigue (82.9) and headache (74.9) had the highest sensitivities among symptoms, while loss of taste or smell (87.2) and bone or nerve pain (92.9) had the high specificities among significant symptoms associated with COVID-19. Conclusion When comparing confirmed COVID-19 cases with either confirmed negative or untested participants, the pattern of symptoms that discriminates SARS-CoV-2 infection from those arising from other potential circulating pathogens may differ from general reports of symptoms among cases alone. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Note
Open access journalISSN
2044-6055PubMed ID
35039294Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1136/bmjopen-2021-053403
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Except where otherwise noted, this item's license is described as Copyright © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC.