| Literature DB >> 33206865 |
Luanda Mara da Silva Oliveira1, Bruna Tiaki Tiyo1, Lais Teodoro da Silva1, Luiz Augusto Marcondes Fonseca1, Rosana Coura Rocha1, Vera Aparecida Dos Santos2, Carina Ceneviva2, Anderson Aparecido Bedin2, Alexandre de Almeida1, Alberto José da Silva Duarte1,2, Telma Miyuki Oshiro1.
Abstract
Coronavirus disease 19 (COVID-19) is caused by SARS-Cov-2 and the manifestations of this infection range from an absence of symptoms all the way up to severe disease leading to death. To estimate the prevalence of past infection in a population, the most readily available method is the detection of antibodies against the virus. This study has investigated the prevalence of anti-SARS-CoV-2 antibodies in outpatients of the Hospital das Clinicas, in Sao Paulo city (Brazil), which is a large university hospital belonging to the public health system that cares for patients with complex diseases who need tertiary or quaternary medical care. Our serological inquiry was carried out for 6 weeks, with once-a-week blood sampling and included 439 patients from several outpatient services. Overall, 61 patients tested positive for anti-SARS-CoV-2 IgG (13.9%); 56.1 % of the patients live in Sao Paulo city, with the remaining living in other towns of the metropolitan area; 32.8% of the patients testing positive for IgG antibodies to SARS-CoV-2 were asymptomatic, 55.7% developed mild or moderate disease and 11.5% had to be hospitalized. The prevalence of SARS-CoV-2 positive serology was lower among patients who had received the seasonal influenza vaccine compared to the ones who did not. These findings may indicate that those individuals care more about health issues, and/or that they have a better access to health care and/or a better quality of health care service. The large proportion of patients who were unaware of having had contact with SARS-CoV-2 deserves attention, reflecting the scarcity of tests performed in the population.Entities:
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Year: 2020 PMID: 33206865 PMCID: PMC7669273 DOI: 10.1590/S1678-9946202062091
Source DB: PubMed Journal: Rev Inst Med Trop Sao Paulo ISSN: 0036-4665 Impact factor: 1.846
Figure 1Weekly seropositivity for SARS-CoV-2. Percentage of positive patients for IgG anti-SARS-CoV-2, according to each week of the survey.
Distribution of the studied patients according to the gender.
| Positive | Negative | Total | ||||||
|---|---|---|---|---|---|---|---|---|
| anti-SARS-CoV-2 IgG | anti-SARS-CoV-2 IgG | |||||||
| 61 (13.9) | 378 (86.1) | 439 | ||||||
| Male | Female | Male | Female | Male | Female | |||
| 26 (42.6) | 35 (57.4) | 130 (34.4) | 248 (65.6) | 156 (35.5) | 283 (64.5) | |||
Figure 2Distribution of patients according to age groups (years). Patients were analyzed according to the different age groups. On the left is the total number of studied patients; on the right, are the postive patients for IgG anti-SARS-CoV-2.
Figure 3Mapping of the origin of patients living in the Metropolitan Area of Sao Paulo. (A) The Metropolitan Area was divided into the city of Sao Paulo and subregions. Negative and positive patients for IgG anti-SARS-CoV-2 were represented by dots. (B, C and D). The percentage of positive patients for IgG anti-SARS-CoV-2 in the city of Sao Paulo and subregions (B); subregions of the Metropolitan Area of Sao Paulo (C); and sectors of the city of Sao Paulo (D).
Figure 4IgG anti-SARS-CoV-2 titers. Patients were divided according to the presence of symptoms into asymptomatic (n: 20) and symptomatic (non-hospitalized n: 34) and hospitalized (n: 7) patients who have already had a previous diagnosis for COVID-19 are shown in black. One-way ANOVA and the non-parametric Kruskal-Wallis test were used for the comparison of groups. *p=0.02
Association between influenza immunization status and anti-SARS-CoV-2 IgG serological status.
| Positive | Negative | Total | |
|---|---|---|---|
| anti-SARS-CoV-2 IgG | anti-SARS-CoV-2 IgG | ||
| Anti-Influenza vaccinated | 34 (11.3) | 266 (88.7) | 300 |
| Anti-Influenza non-vaccinated | 27 (20.0) | 108 (80.0) | 135 |
| Total | 61 (14.0) | 374 (86.0) | 435 |
Qui-square test=5.8; p=0.016; Odds ratio=0.5121; 95% CI=0.2944 to 0.8737