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Diagnostic accuracy of symptoms as a diagnostic tool for SARS-CoV 2 infection: a cross-sectional study in a cohort of 2,173 patients

BACKGROUND: The SARS-CoV-2 pandemic continues to be a priority health problem; According to the World Health Organization data from October 13, 2020, 37,704,153 confirmed COVID-19 cases have been reported, including 1,079,029 deaths, since the outbreak. The identification of potential symptoms has b...

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Autores principales: Romero-Gameros, Carlos Alfonso, Colin-Martínez, Tania, Waizel-Haiat, Salomón, Vargas-Ortega, Guadalupe, Ferat-Osorio, Eduardo, Guerrero-Paz, José Alberto, Intriago-Alor, Marielle, López-Moreno, Mayra Alejandra, Cuevas-García, Carlos Fredy, Mendoza-Zubieta, Victoria, Martínez-Ordaz, Jose Luis, González-Virla, Baldomero
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947944/
https://www.ncbi.nlm.nih.gov/pubmed/33706707
http://dx.doi.org/10.1186/s12879-021-05930-1
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author Romero-Gameros, Carlos Alfonso
Colin-Martínez, Tania
Waizel-Haiat, Salomón
Vargas-Ortega, Guadalupe
Ferat-Osorio, Eduardo
Guerrero-Paz, José Alberto
Intriago-Alor, Marielle
López-Moreno, Mayra Alejandra
Cuevas-García, Carlos Fredy
Mendoza-Zubieta, Victoria
Martínez-Ordaz, Jose Luis
González-Virla, Baldomero
author_facet Romero-Gameros, Carlos Alfonso
Colin-Martínez, Tania
Waizel-Haiat, Salomón
Vargas-Ortega, Guadalupe
Ferat-Osorio, Eduardo
Guerrero-Paz, José Alberto
Intriago-Alor, Marielle
López-Moreno, Mayra Alejandra
Cuevas-García, Carlos Fredy
Mendoza-Zubieta, Victoria
Martínez-Ordaz, Jose Luis
González-Virla, Baldomero
author_sort Romero-Gameros, Carlos Alfonso
collection PubMed
description BACKGROUND: The SARS-CoV-2 pandemic continues to be a priority health problem; According to the World Health Organization data from October 13, 2020, 37,704,153 confirmed COVID-19 cases have been reported, including 1,079,029 deaths, since the outbreak. The identification of potential symptoms has been reported to be a useful tool for clinical decision-making in emergency departments to avoid overload and improve the quality of care. The aim of this study was to evaluate the performances of symptoms as a diagnostic tool for SARS -CoV-2 infection. METHODS: An observational, cross-sectional, prospective and analytical study was carried out, during the period of time from April 14 to July 21, 2020. Data (demographic variables, medical history, respiratory and non-respiratory symptoms) were collected by emergency physicians. The diagnosis of COVID-19 was made using SARS-CoV-2 RT-PCR. The diagnostic accuracy of these characteristics for COVID-19 was evaluated by calculating the positive and negative likelihood ratios. A Mantel-Haenszel and multivariate logistic regression analysis was performed to assess the association of symptoms with COVID-19. RESULTS: A prevalence of 53.72% of SARS-CoV-2 infection was observed. The symptom with the highest sensitivity was cough 71%, and a specificity of 52.68%. The symptomatological scale, constructed from 6 symptoms, obtained a sensitivity of 83.45% and a specificity of 32.86%, taking ≥2 symptoms as a cut-off point. The symptoms with the greatest association with SARS-CoV-2 were: anosmia odds ratio (OR) 3.2 (95% CI; 2.52–4.17), fever OR 2.98 (95% CI; 2.47–3.58), dyspnea OR 2.9 (95% CI; 2.39–3.51]) and cough OR 2.73 (95% CI: 2.27–3.28). CONCLUSION: The combination of ≥2 symptoms / signs (fever, cough, anosmia, dyspnea and oxygen saturation < 93%, and headache) results in a highly sensitivity model for a quick and accurate diagnosis of COVID-19, and should be used in the absence of ancillary diagnostic studies. Symptomatology, alone and in combination, may be an appropriate strategy to use in the emergency department to guide the behaviors to respond to the disease. TRIAL REGISTRATION: Institutional registration R-2020-3601-145, Federal Commission for the Protection against Sanitary Risks 17 CI-09-015-034, National Bioethics Commission: 09 CEI-023-2017082.
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spelling pubmed-79479442021-03-11 Diagnostic accuracy of symptoms as a diagnostic tool for SARS-CoV 2 infection: a cross-sectional study in a cohort of 2,173 patients Romero-Gameros, Carlos Alfonso Colin-Martínez, Tania Waizel-Haiat, Salomón Vargas-Ortega, Guadalupe Ferat-Osorio, Eduardo Guerrero-Paz, José Alberto Intriago-Alor, Marielle López-Moreno, Mayra Alejandra Cuevas-García, Carlos Fredy Mendoza-Zubieta, Victoria Martínez-Ordaz, Jose Luis González-Virla, Baldomero BMC Infect Dis Research Article BACKGROUND: The SARS-CoV-2 pandemic continues to be a priority health problem; According to the World Health Organization data from October 13, 2020, 37,704,153 confirmed COVID-19 cases have been reported, including 1,079,029 deaths, since the outbreak. The identification of potential symptoms has been reported to be a useful tool for clinical decision-making in emergency departments to avoid overload and improve the quality of care. The aim of this study was to evaluate the performances of symptoms as a diagnostic tool for SARS -CoV-2 infection. METHODS: An observational, cross-sectional, prospective and analytical study was carried out, during the period of time from April 14 to July 21, 2020. Data (demographic variables, medical history, respiratory and non-respiratory symptoms) were collected by emergency physicians. The diagnosis of COVID-19 was made using SARS-CoV-2 RT-PCR. The diagnostic accuracy of these characteristics for COVID-19 was evaluated by calculating the positive and negative likelihood ratios. A Mantel-Haenszel and multivariate logistic regression analysis was performed to assess the association of symptoms with COVID-19. RESULTS: A prevalence of 53.72% of SARS-CoV-2 infection was observed. The symptom with the highest sensitivity was cough 71%, and a specificity of 52.68%. The symptomatological scale, constructed from 6 symptoms, obtained a sensitivity of 83.45% and a specificity of 32.86%, taking ≥2 symptoms as a cut-off point. The symptoms with the greatest association with SARS-CoV-2 were: anosmia odds ratio (OR) 3.2 (95% CI; 2.52–4.17), fever OR 2.98 (95% CI; 2.47–3.58), dyspnea OR 2.9 (95% CI; 2.39–3.51]) and cough OR 2.73 (95% CI: 2.27–3.28). CONCLUSION: The combination of ≥2 symptoms / signs (fever, cough, anosmia, dyspnea and oxygen saturation < 93%, and headache) results in a highly sensitivity model for a quick and accurate diagnosis of COVID-19, and should be used in the absence of ancillary diagnostic studies. Symptomatology, alone and in combination, may be an appropriate strategy to use in the emergency department to guide the behaviors to respond to the disease. TRIAL REGISTRATION: Institutional registration R-2020-3601-145, Federal Commission for the Protection against Sanitary Risks 17 CI-09-015-034, National Bioethics Commission: 09 CEI-023-2017082. BioMed Central 2021-03-11 /pmc/articles/PMC7947944/ /pubmed/33706707 http://dx.doi.org/10.1186/s12879-021-05930-1 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Romero-Gameros, Carlos Alfonso
Colin-Martínez, Tania
Waizel-Haiat, Salomón
Vargas-Ortega, Guadalupe
Ferat-Osorio, Eduardo
Guerrero-Paz, José Alberto
Intriago-Alor, Marielle
López-Moreno, Mayra Alejandra
Cuevas-García, Carlos Fredy
Mendoza-Zubieta, Victoria
Martínez-Ordaz, Jose Luis
González-Virla, Baldomero
Diagnostic accuracy of symptoms as a diagnostic tool for SARS-CoV 2 infection: a cross-sectional study in a cohort of 2,173 patients
title Diagnostic accuracy of symptoms as a diagnostic tool for SARS-CoV 2 infection: a cross-sectional study in a cohort of 2,173 patients
title_full Diagnostic accuracy of symptoms as a diagnostic tool for SARS-CoV 2 infection: a cross-sectional study in a cohort of 2,173 patients
title_fullStr Diagnostic accuracy of symptoms as a diagnostic tool for SARS-CoV 2 infection: a cross-sectional study in a cohort of 2,173 patients
title_full_unstemmed Diagnostic accuracy of symptoms as a diagnostic tool for SARS-CoV 2 infection: a cross-sectional study in a cohort of 2,173 patients
title_short Diagnostic accuracy of symptoms as a diagnostic tool for SARS-CoV 2 infection: a cross-sectional study in a cohort of 2,173 patients
title_sort diagnostic accuracy of symptoms as a diagnostic tool for sars-cov 2 infection: a cross-sectional study in a cohort of 2,173 patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947944/
https://www.ncbi.nlm.nih.gov/pubmed/33706707
http://dx.doi.org/10.1186/s12879-021-05930-1
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