Clinical features of COVID-19 by SARS-CoV-2 Gamma variant: A prospective cohort study of vaccinated and unvaccinated healthcare workers

Luna-Muschi, Alessandra; Borges, Igor C.; Faria, Elizabeth de; Barboza, Antonio Santos; Maia, Fernando Liebhart; Leme, Mariana Deckers; Guedes, Ana Rubia; Mendes‐Correa, Maria Cássia; Kallás, Esper G.; Segurado, Aluísio Cotrim; Duarte, Alberto J. S.; Lázari, Carolina S.; Andrade, Pâmela S; Claro, Ingra Morales; Sabino, Ester C.; Levin, Anna Sara Shafferman; Costa, Sílvia Figueiredo

doi:10.1016/j.jinf.2021.09.005

Cited by 22 publications

(19 citation statements)

References 11 publications

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“…However, in a multivariate analysis anosmia/hyposmia (OR = 0.304, adj P < 0.001) and dysgeusia (OR = 0.385, adj P = 0.011) were the only symptoms significantly associated with the Gamma variant. There was no association between symptoms and age or gender ( 109 ).…”

Section: Methodsmentioning

confidence: 88%

The Prevalence and Pathophysiology of Chemical Sense Disorder Caused by the Novel Coronavirus

Narayanan

Shivappa

Padiyath³

et al. 2022

Front. Public Health

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Emerging viral infections are a ceaseless challenge and remain a global public health concern. The world has not yet come back to normal from the devastating effects of the highly contagious and pathogenic novel coronavirus, or Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Olfactory and taste dysfunction is common in patients infected by the novel coronavirus. In light of the emergence of different coronavirus variants, it is important to update the prevalence and pathophysiology of these side effects. In this review, articles published on the prevalence of olfactory and taste dysfunction from coronavirus disease (COVID-19) and their possible pathophysiologic mechanisms have been reviewed and reported. The modulatory role of different SARS-CoV-2 variants on the chemical senses is then described. The clinical relevance of chemical sense disorder and its long-term morbidity and management is also discussed.

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Section: Methodsmentioning

confidence: 88%

The Prevalence and Pathophysiology of Chemical Sense Disorder Caused by the Novel Coronavirus

Narayanan

Shivappa

Padiyath³

et al. 2022

Front. Public Health

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“…Recent articles in this Journal have reported the cross-neutralization of SARS-CoV-2 variants in individuals of vaccinees and convalescents, and compared the clinical features of Coronavirus disease 2019 (COVID-19) by SARS-CoV-2 Gamma variant based on a prospective cohort study of vaccinated and unvaccinated healthcare workers 1 , 2 . The emergence of SARS-CoV-2 variants with higher transmission ability and immune evasion against monoclonal antibodies, sera from natural infection and vaccine receipts, posing a serious threat to public health.…”

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confidence: 99%

Regular and booster vaccination with inactivated vaccines enhance the neutralizing activity against Omicron variant both in the breakthrough infections and vaccinees

Yang¹,

Gong²,

Yang³

et al. 2022

Journal of Infection

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“…In Brazil, the second wave was due to the SARS-CoV-2 variant Gamma [ 25 ]. Although this variant has been shown to be more transmissible [ 26 ], other characteristics such as increased virulence have not been demonstrated [ 27 ]. However, differences in characteristics of the viruses may explain the difference in performance of the models.…”

Section: Discussionmentioning

confidence: 99%

Predicting the outcome for COVID-19 patients by applying time series classification to electronic health records

Rodrigues

Nastri

Magri

et al. 2022

BMC Med Inform Decis Mak

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Background COVID-19 caused more than 622 thousand deaths in Brazil. The infection can be asymptomatic and cause mild symptoms, but it also can evolve into a severe disease and lead to death. It is difficult to predict which patients will develop severe disease. There are, in the literature, machine learning models capable of assisting diagnose and predicting outcomes for several diseases, but usually these models require laboratory tests and/or imaging. Methods We conducted a observational cohort study that evaluated vital signs and measurements from patients who were admitted to Hospital das Clínicas (São Paulo, Brazil) between March 2020 and October 2021 due to COVID-19. The data was then represented as univariate and multivariate time series, that were used to train and test machine learning models capable of predicting a patient’s outcome. Results Time series-based machine learning models are capable of predicting a COVID-19 patient’s outcome with up to 96% general accuracy and 81% accuracy considering only the first hospitalization day. The models can reach up to 99% sensitivity (discharge prediction) and up to 91% specificity (death prediction). Conclusions Results indicate that time series-based machine learning models combined with easily obtainable data can predict COVID-19 outcomes and support clinical decisions. With further research, these models can potentially help doctors diagnose other diseases.

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Clinical features of COVID-19 by SARS-CoV-2 Gamma variant: A prospective cohort study of vaccinated and unvaccinated healthcare workers

Cited by 22 publications

References 11 publications

The Prevalence and Pathophysiology of Chemical Sense Disorder Caused by the Novel Coronavirus

The Prevalence and Pathophysiology of Chemical Sense Disorder Caused by the Novel Coronavirus

Regular and booster vaccination with inactivated vaccines enhance the neutralizing activity against Omicron variant both in the breakthrough infections and vaccinees

Predicting the outcome for COVID-19 patients by applying time series classification to electronic health records

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