Early “red flags” in hospitalized patients with COVID-19

Автор: Malinovskiy V.A., Fedosenko S.V., Semakin A.V., Dirks I.I., Arzhanik M.B., Semenova O.L., Starovoitova E.A., Vinokurova D.A., Agaeva S.A., Boldyshevskaya M.A., Selikhova E.M., Korepanov V.A., Khalyavin S.A., Nesterovich S.V., Zima A.P., Fedotova M.M., Chernyavskaya G.M.

Журнал: Сибирский журнал клинической и экспериментальной медицины @cardiotomsk

Рубрика: Клинические исследования

Статья в выпуске: 1 т.39, 2024 года.

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Relevance. Among the studies during the COVID-19 pandemic, a special role is played by studies examining the prognostic value of clinical, laboratory and instrumental markers in patients. Biomarkers with absolute sensitivity and specificity for predicting the outcome of a new coronavirus infection have not been identified yet.Aim: To identify early clinical and laboratory predictors of severity and mortality in hospitalized patients with COVID-19 and to evaluate the effectiveness of the pharmacotherapy in outpatient and early hospital settings.Methodology and research methods. A retrospective, comparative study was carried out. Medical data from 745 adult patients with COVID-19, hospitalized in the respiratory hospital of the Siberian State Medical University (Tomsk) from 05/16/2020 to 09/30/2020 were included. The main group consists of patients who were discharged from the hospital. The comparison group included patients with a fatal outcome of the disease.Results. The group of deceased patients was characterized by older age and a greater number of comorbid diseases (р 0.5 ng/ml were 5 times higher in deceased patients during early period of hospitalization.Conclusion. Clinical, anamnestic and laboratory factors were identified through this study. These factors may be useful in the early period of hospitalization for accurate assessment of risks of severe ill, effective disease management and reduction of mortality in hospitalized patients with COVID-19.

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New coronavirus infection, covid-19, biomarkers, predictors of severe disease, predictors of mortality

Короткий адрес: https://sciup.org/149144771

IDR: 149144771   |   DOI: 10.29001/2073-8552-2024-39-1-116-125

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