| Literature DB >> 32965332 |
Aline da Rocha Matos1, Fernando Couto Motta1, Braulia Costa Caetano1, Maria Ogrzewalska1, Cristiana Couto Garcia1, Jonathan Christian Oliveira Lopes1, Milene Miranda1, Miriam Teresinha Furlam Prando Livorati2, André Abreu2, David Brown1, Marilda Mendonça Siqueira1.
Abstract
Coronavirus disease 2019 (COVID-19) surveillance, in Brazil, initiated shortly after its description, in China. Our aim was to detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and additional pathogens in samples from the initial phase of the outbreak in Brazil, from late February to late March. From 707 samples analysed, 29 (4.1%) were SARS-CoV-2 positive. Fever and cough were their most prevalent symptoms. Co-detection of rhinovirus was observed in 2 (6.9%) cases. Additional pathogens were identified in 66.1% of the SARS-CoV-2 negative cases, mainly rhinovirus and influenza A(H1N1)pdm09. Thus, we emphasise the importance of differential diagnosis in COVID-19 suspected cases.Entities:
Mesh:
Year: 2020 PMID: 32965332 PMCID: PMC7508282 DOI: 10.1590/0074-02760200232
Source DB: PubMed Journal: Mem Inst Oswaldo Cruz ISSN: 0074-0276 Impact factor: 2.743
Clinical, geographical and epidemiological characteristics of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) positive cases received at the coronavirus disease 2019 (COVID-19) Brazilian reference laboratory, at Fiocruz
| Characteristics | Total |
| Number of samples | 29 |
| Age (years) - median ± range | 47 (27-81) |
| Male - n (%) | 17 (58.6) |
| Signs and symptoms | |
| Fever - n/N (%) | 9/13 (69.2) |
| Cough - n/N (%) | 9/13 (69.2) |
| Sore throat - n/N (%) | 5/13 (38.5) |
| Dyspnea - n/N (%) | 2/13 (15.4) |
| Hospital admission - n/N (%) | 6/11 (54.5) |
| Comorbidities - n/N (%) | 2/9 (22.2) |
| Geographic region | |
| South - n (%) | 3 (10.4) |
| Southeast - n (%) | 13 (44.8) |
| Northeast - n (%) | 4 (13.8) |
| Midwest - n (%) | 9 (31.0) |
| North - n (%) | ND |
ND: not detected; n: number of cases with the referred characteristic; N: number of cases for which the information is available.
Identification of pathogens in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) suspected patients received at the coronavirus disease 2019 (COVID-19) Brazilian reference laboratory, at Fiocruz
| Pathogen | SARS-CoV-2 positive (n = 29) | SARS-CoV-2 negative (n = 165) |
| n (%) | n (%) | |
| Coronavirus NL63 | ND | 9 (5.5) |
| Coronavirus 229E | ND | 4 (2.4) |
| Coronavirus OC43 | ND | ND |
| Coronavirus HKU1 | ND | 7 (4.2) |
| Influenza A(H1N1)pdm09 | ND | 18 (10.9) |
| Influenza A | ND | 11 (6.7) |
| Influenza B | ND | 9 (5.5) |
| Parainfluenza 1 | ND | 2 (1.2) |
| Parainfluenza 2 | ND | ND |
| Parainfluenza 3 | ND | 3 (1.8) |
| Parainfluenza 4 | ND | ND |
| Human metapneumovirus A/B | ND | 3 (1.8) |
| Rhinovirus | 2 (6.9) | 46 (27.9) |
| Respiratory sincicial virus | ND | 5 (3.0) |
| Enterovirus | ND | 12 (7.3) |
| Parechovirus | ND | ND |
| Adenovirus | ND | 8 (4.8) |
| Bocavirus | ND | ND |
| Mycoplasma pneumoniae | ND | 1 (0.6) |
ND: not detected.