Evaluación de los predictores clínicos de infección respiratoria aguda por coronavirus SARS-CoV-2 en población adulta
Background: COVID-19 is a serious public health problem worldwide. Aim: To describe the clinical features of COVID-19 infection in adult patients consulting at an Emergency Service. Material and Methods: Descriptive prospective study of adult patients with suspected COVID-19 consulting between April 1 and July 31, 2020, at the Emergency Service of a clinical hospital. Clinical features, chronic comorbidities and demographic data were recorded. Results: We assessed 2,958 adult patients aged 42 ± 15 years (46% males). In 54% of them, COVID-19 infection was confirmed, 40% had preexisting diseases, especially hypertension (15%), hypothyroidism (6%), diabetes (6%), asthma (5%) and obesity (6%). The main clinical manifestations associated with COVID-19 were general malaise (79%), anorexia (38%), myalgia (64%), fever (52%), headache (70%), anosmia/dysgeusia (60%), cough (56%), dyspnea (54%) and diarrhea (36%). In the multivariate analysis, the main clinical predictors of COVID-19 infection were malaise, anorexia, fever, myalgia, headache, nasal congestion, cough, expectoration, anosmia/dysgeusia, and history of close contact with a SARS-CoV-2 patient. Odynophagia and chest discomfort were negative predictors of the disease. The history of fever associated with anorexia, cough, and dyspnea or anosmia/dysgeusia and close contact with a SARS-CoV-2 patient had high specificity and positive predictive value for COVID-19 infection. Conclusions: Clinical features of COVID-19 infection were highly unspecific in these patients. Clinical diagnostic prediction models could be useful to support healthcare decision making at primary care setting.
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Sociedad Médica de Santiago
2021
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oai:scielo:S0034-988720210008011072021-12-21Evaluación de los predictores clínicos de infección respiratoria aguda por coronavirus SARS-CoV-2 en población adultaSaldías Peñafiel,FernandoPeñAloza Tapia,AlejandroFarías Nesvadba,DanielaFarcas Oksenberg,KatiaReyes Sánchez,AntoniaCortés Meza,JosefinaUrzúa Canales,PabloLara Hernández,BárbaraAguilera Fuenzalida,PabloLeiva Rodríguez,Isabel Coronavirus COVID-19 Predictive Value of Tests Risk Factors Diagnosis Background: COVID-19 is a serious public health problem worldwide. Aim: To describe the clinical features of COVID-19 infection in adult patients consulting at an Emergency Service. Material and Methods: Descriptive prospective study of adult patients with suspected COVID-19 consulting between April 1 and July 31, 2020, at the Emergency Service of a clinical hospital. Clinical features, chronic comorbidities and demographic data were recorded. Results: We assessed 2,958 adult patients aged 42 ± 15 years (46% males). In 54% of them, COVID-19 infection was confirmed, 40% had preexisting diseases, especially hypertension (15%), hypothyroidism (6%), diabetes (6%), asthma (5%) and obesity (6%). The main clinical manifestations associated with COVID-19 were general malaise (79%), anorexia (38%), myalgia (64%), fever (52%), headache (70%), anosmia/dysgeusia (60%), cough (56%), dyspnea (54%) and diarrhea (36%). In the multivariate analysis, the main clinical predictors of COVID-19 infection were malaise, anorexia, fever, myalgia, headache, nasal congestion, cough, expectoration, anosmia/dysgeusia, and history of close contact with a SARS-CoV-2 patient. Odynophagia and chest discomfort were negative predictors of the disease. The history of fever associated with anorexia, cough, and dyspnea or anosmia/dysgeusia and close contact with a SARS-CoV-2 patient had high specificity and positive predictive value for COVID-19 infection. Conclusions: Clinical features of COVID-19 infection were highly unspecific in these patients. Clinical diagnostic prediction models could be useful to support healthcare decision making at primary care setting.info:eu-repo/semantics/openAccessSociedad Médica de SantiagoRevista médica de Chile v.149 n.8 20212021-08-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872021000801107es10.4067/s0034-98872021000801107 |
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Saldías Peñafiel,Fernando PeñAloza Tapia,Alejandro Farías Nesvadba,Daniela Farcas Oksenberg,Katia Reyes Sánchez,Antonia Cortés Meza,Josefina Urzúa Canales,Pablo Lara Hernández,Bárbara Aguilera Fuenzalida,Pablo Leiva Rodríguez,Isabel |
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Saldías Peñafiel,Fernando PeñAloza Tapia,Alejandro Farías Nesvadba,Daniela Farcas Oksenberg,Katia Reyes Sánchez,Antonia Cortés Meza,Josefina Urzúa Canales,Pablo Lara Hernández,Bárbara Aguilera Fuenzalida,Pablo Leiva Rodríguez,Isabel Evaluación de los predictores clínicos de infección respiratoria aguda por coronavirus SARS-CoV-2 en población adulta |
author_facet |
Saldías Peñafiel,Fernando PeñAloza Tapia,Alejandro Farías Nesvadba,Daniela Farcas Oksenberg,Katia Reyes Sánchez,Antonia Cortés Meza,Josefina Urzúa Canales,Pablo Lara Hernández,Bárbara Aguilera Fuenzalida,Pablo Leiva Rodríguez,Isabel |
author_sort |
Saldías Peñafiel,Fernando |
title |
Evaluación de los predictores clínicos de infección respiratoria aguda por coronavirus SARS-CoV-2 en población adulta |
title_short |
Evaluación de los predictores clínicos de infección respiratoria aguda por coronavirus SARS-CoV-2 en población adulta |
title_full |
Evaluación de los predictores clínicos de infección respiratoria aguda por coronavirus SARS-CoV-2 en población adulta |
title_fullStr |
Evaluación de los predictores clínicos de infección respiratoria aguda por coronavirus SARS-CoV-2 en población adulta |
title_full_unstemmed |
Evaluación de los predictores clínicos de infección respiratoria aguda por coronavirus SARS-CoV-2 en población adulta |
title_sort |
evaluación de los predictores clínicos de infección respiratoria aguda por coronavirus sars-cov-2 en población adulta |
description |
Background: COVID-19 is a serious public health problem worldwide. Aim: To describe the clinical features of COVID-19 infection in adult patients consulting at an Emergency Service. Material and Methods: Descriptive prospective study of adult patients with suspected COVID-19 consulting between April 1 and July 31, 2020, at the Emergency Service of a clinical hospital. Clinical features, chronic comorbidities and demographic data were recorded. Results: We assessed 2,958 adult patients aged 42 ± 15 years (46% males). In 54% of them, COVID-19 infection was confirmed, 40% had preexisting diseases, especially hypertension (15%), hypothyroidism (6%), diabetes (6%), asthma (5%) and obesity (6%). The main clinical manifestations associated with COVID-19 were general malaise (79%), anorexia (38%), myalgia (64%), fever (52%), headache (70%), anosmia/dysgeusia (60%), cough (56%), dyspnea (54%) and diarrhea (36%). In the multivariate analysis, the main clinical predictors of COVID-19 infection were malaise, anorexia, fever, myalgia, headache, nasal congestion, cough, expectoration, anosmia/dysgeusia, and history of close contact with a SARS-CoV-2 patient. Odynophagia and chest discomfort were negative predictors of the disease. The history of fever associated with anorexia, cough, and dyspnea or anosmia/dysgeusia and close contact with a SARS-CoV-2 patient had high specificity and positive predictive value for COVID-19 infection. Conclusions: Clinical features of COVID-19 infection were highly unspecific in these patients. Clinical diagnostic prediction models could be useful to support healthcare decision making at primary care setting. |
publisher |
Sociedad Médica de Santiago |
publishDate |
2021 |
url |
http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872021000801107 |
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