ABSTRACT
Introduction: A nosocomial outbreak of coronavirus disease (COVID-19) occurred in the Toda Chuo General Hospital in Toda City, Saitama Prefecture, Japan in December 2020. The purpose of this study was to compare the accuracy of three prognostic indices for predicting the outcome of COVID-19 in patents with COVID-19 pneumonia. Patients and Methods: Patients in the Department of Urology and Transplant Surgery at Toda Chuo General Hospital with nosocomially acquired COVID-19 confirmed by a positive polymerase chain reaction test were included in the study. We used the COVID-GRAM, International Severe Acute Respiratory and Emerging Infections Consortium's World Health Organization 4C Mortality Score, and COVID-19 Registry Japan to independently predict the prognoses of 10 patients and identify common prognostic factors. All three indices include age, dyspnea, and comorbidities as prognostic factors. Result(s): Ten patients were included in the study, of which two patients died. According to the COVID-GRAM both patients were "high risk," whereas the 4C Mortality Score predicted "high risk" and "very high risk." Conclusion(s): The prognostic scores of all three indices were useful for predicting illness severity.Copyright © 2023 The Authors
ABSTRACT
The interaction energies between the receptor-binding domain of SARS-CoV-2 spike proteins and neutralizing antibody CC12.1 Fab were calculated using the fragment molecular orbital method. South African and Brazilian variants showed weaker interactions than the wild-type. Mutations, K417N/T and E484K, were considered to be responsible for escape from the antibody.