Thorax computed tomography findings and anti-SARS-CoV-2 immunoglobulin G levels in polymerase chain reaction-negative probable COVID-19 cases
Rev. Assoc. Med. Bras. (1992, Impr.)
; Rev. Assoc. Med. Bras. (1992, Impr.);68(12): 1742-1746, 2022. tab, graf
Article
em En
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LILACS-Express
| LILACS
| ID: biblio-1422557
Biblioteca responsável:
BR1.1
ABSTRACT
SUMMARY OBJECTIVE:
This study aimed to evaluate the SARS-CoV-2 immunoglobulin G (IgG) levels after 6 months of polymerase chain reaction (PCR) negative but assumed to be COVID-19 positive cases to investigate the relationship between IgG levels and thoracic computed tomography (CT) findings.METHODS:
This was a single-center study that included patients whose PCR test results were negative at least three times using nasopharyngeal swabs but had clinical findings of COVID-19 and thoracic CT findings compatible with viral pneumonia. Six months after discharge, the IgG antibodies were analyzed. The cutoff value for negative and positive serology was defined as <1.4 (index S/C) and ≥1.4 (index S/C), respectively. In addition, the patients were categorized according to their thoracic CT findings as high (typical) and low (atypical). Also, the patients were grouped into classes as <5% lung involvement versus ≥5% lung involvement.RESULTS:
The patients' mean age was 49.78±12.96 years. PCR was negative, but patients with COVID-19 symptoms who had SARS-CoV-2 IgG positive were 81.9% (n=95). The antibody titer and lung involvement ≥5% were statistically significantly higher in SARS-CoV-2 IgG positive cases (p<0.001 and p=0.021). Age and chest CT findings were the risk factors for lung involvement (OR=1.08, p<0.001 and OR=2.19, p=0.010, respectively).CONCLUSION:
This study is valuable because increasing severity (≥5%) of lung involvement appears to be associated with high and persistent IgG antibody titers. In probable cases of COVID-19, even if the PCR test is negative, high IgG titers 6 months after discharge can predict the rate of lung parenchymal involvement.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
LILACS
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
Rev. Assoc. Med. Bras. (1992, Impr.)
Assunto da revista:
EducaÆo em Sa£de
/
GestÆo do Conhecimento para a Pesquisa em Sa£de
/
MEDICINA
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
Turquia
País de publicação:
Brasil