Article ; Online: Clinical and laboratory characteristics in outpatient diagnosis of COVID-19 in healthcare professionals in Rio de Janeiro, Brazil.
2021 Volume 75, Issue 3, Page(s) 185–192
Abstract: ... infections in healthcare professionals (HCPs) using both clinical and laboratory data.: Methods: A total ... of developing COVID-19 using their responses to a questionnaire designed to evaluate symptoms and risk ... leucopenia and monocytosis were common in COVID-19. ...
Abstract | Aims: This study aimed to identify the symptoms associated with early stage SARS-CoV-2 (COVID-19) infections in healthcare professionals (HCPs) using both clinical and laboratory data. Methods: A total of 1297 patients, admitted between 18 March and 8 April 2020, were stratified according to their risk of developing COVID-19 using their responses to a questionnaire designed to evaluate symptoms and risk conditions. Results: Anosmia/hyposmia (p<0.0001), fever (p<0.0001), body pain (p<0.0001) and chills (p=0.001) were all independent predictors for COVID-19, with a 72% estimated probability for detecting COVID-19 in nasopharyngeal swab samples. Leucopenia, relative monocytosis, decreased eosinophil values, C reactive protein (CRP) and platelets were also shown to be significant independent predictors for COVID-19. Conclusions: The significant clinical features for COVID-19 were identified as anosmia, fever, chills and body pain. Elevated CRP, leucocytes under 5400×10 Summary: From 19 March to 8 April 2020, 1297 patients attended the Polyclinic Piquet Carneiro for COVID-19 detection. HCP data were analysed, and significant clinical features were anosmia, fever, chills and body pain. Elevated CRP, leucopenia and monocytosis were common in COVID-19. |
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MeSH term(s) | Adult ; Brazil/epidemiology ; COVID-19/diagnosis ; COVID-19/epidemiology ; COVID-19/pathology ; Diagnostic Screening Programs ; Female ; Health Personnel ; Humans ; Male ; Middle Aged ; Outpatients ; Pandemics ; SARS-CoV-2/genetics ; SARS-CoV-2/isolation & purification |
Language | English |
Publishing date | 2021-02-10 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 80261-x |
ISSN | 1472-4146 ; 0021-9746 |
ISSN (online) | 1472-4146 |
ISSN | 0021-9746 |
DOI | 10.1136/jclinpath-2020-206797 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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