Sensitivity and Specificity of Patient-Reported Clinical Manifestations to Diagnose COVID-19 in Adults from a National Database in Chile: A Cross-Sectional Study

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dc.contributor.authorMartinez, Felipe
dc.contributor.authorMuñoz, Sergio
dc.contributor.authorGuerrero Nancuante, Camilo
dc.contributor.authorTaramasco, Carla
dc.date.accessioned2023-09-29T20:00:29Z
dc.date.available2023-09-29T20:00:29Z
dc.date.issued2022-08
dc.descriptionIndexación: Scopus.es
dc.description.abstract(1) Background: The diagnosis of COVID-19 is frequently made on the basis of a suggestive clinical history and the detection of SARS-CoV-2 RNA in respiratory secretions. However, the diagnostic accuracy of clinical features is unknown. (2) Objective: To assess the diagnostic accuracy of patient-reported clinical manifestations to identify cases of COVID-19. (3) Methodology: Cross-sectional study using data from a national registry in Chile. Infection by SARS-CoV-2 was confirmed using RT-PCR in all cases. Anonymised information regarding demographic characteristics and clinical features were assessed using sensitivity, specificity, and diagnostic odds ratios. A multivariable logistic regression model was constructed to combine epidemiological risk factors and clinical features. (4) Results: A total of 2,187,962 observations were available for analyses. Male participants had a mean age of 43.1 ± 17.5 years. The most common complaints within the study were headache (39%), myalgia (32.7%), cough (31.6%), and sore throat (25.7%). The most sensitive features of disease were headache, myalgia, and cough, and the most specific were anosmia and dysgeusia/ageusia. A multivariable model showed a fair diagnostic accuracy, with a ROC AUC of 0.744 (95% CI 0.743–0.746). (5) Discussion: No single clinical feature was able to fully confirm or exclude an infection by SARS-CoV-2. The combination of several demographic and clinical factors had a fair diagnostic accuracy in identifying patients with the disease. This model can help clinicians tailor the probability of COVID-19 and select diagnostic tests appropriate to their setting. © 2022 by the authors.es
dc.description.urihttps://www.mdpi.com/2079-7737/11/8/1136
dc.identifier.citationBiology, Volume 11, Issue 8, August 2022, Article number 1136es
dc.identifier.doi10.3390/biology11081136
dc.identifier.issn2079-7737
dc.identifier.urihttps://repositorio.unab.cl/xmlui/handle/ria/53382
dc.language.isoenes
dc.publisherMDPIes
dc.rights.licenseCC BY 4.0 DEED Attribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectClinical manifestationses
dc.subjectCOVID-19es
dc.subjectDiagnostic accuracyes
dc.subjectRisk factorses
dc.titleSensitivity and Specificity of Patient-Reported Clinical Manifestations to Diagnose COVID-19 in Adults from a National Database in Chile: A Cross-Sectional Studyes
dc.typeArtículoes
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