Prognostic criteria for the development of severe clinical forms of COVID-19 in medical organization workers

Abstract

Employees of medical organizations are one of the risk groups for infection with a new coronavirus infection (COVID-19), including with the development of severe clinical forms.

The aim of the study was to analyze the clinical manifestations of a new coronavirus infection in medical workers with the determination of laboratory markers for the development of severe COVID-19.

Material and methods. The study included 186 medical workers who had COVID-19 in 2020. In 67 people (observation group), the disease occurred in the form of pneumonia, in 119 people (comparison group) – acute respiratory infection caused by SARS-CoV-2. In the acute period of the disease, a laboratory examination was carried out: a general clinical blood test, CD-typing of lymphocyte subpopulations, assessment of biochemical parameters, determination of parameters of the hemostasis system and cytokine levels.

Using the binary logistic regression method, we have built multifactor models. To determine the threshold values of the indicators, we used ROC analysis. Statistical processing of materials was carried out using Microsoft Office 2016 and IBM SPSS Statistics (version 26). The differences were considered statistically significant at p<0.05.

Results and discussion. The most frequent clinical manifestations of COVID-19 were: weakness, fever, myalgia, arthralgia, difficulty in nasal breathing, serous-mucous discharge from the nose, sore throat, cough, feeling of “tightness” in the chest, shortness of breath, headache, pain in the eyeballs, dizziness, anosmia, ageusia and dyspeptic manifestations in the form of diarrhea, nausea or vomiting.

Markers associated with the development of severe pneumonia associated with COVID-19 have been identified. Threshold values of laboratory parameters for predicting the severe course of COVID-19 were determined: the number of platelets (less than 239×109/l), lymphocytes (less than 1.955×109/l), cytotoxic T-lymphocytes (less than 0.455×109/l), T-helper cells (less than 0.855×109/l), NK-cells (less than 0.205×109/l), ESR (more than 11.5 mm/h), LDH (more than 196 units/l), total protein (less than 71.55 g/l), D-dimer (more than 0.325 mcg/ml), CRP (more than 4.17 mg/l), IL-6 (more than 3.63 pg/l).

Conclusion. The data obtained make it possible to predict the possibility of developing a severe variant of the COVID-19 course.

Keywords:coronavirus infection; COVID-19; medical workers; clinical manifestations; laboratory markers; threshold values; prognostic criteria

Funding. The study had no sponsor support.

Conflict of interest. The authors declare no conflict of interest.

Contribution. Concept and design of the study – Platonova T.A., Semenenko T.A., Golubkova A.A.; collection and processing of the material – Platonova T.A., Sklyar M.S., Karbovnichaya E.A., Sisin E.I.; statistical processing, text writing – Platonova T.A., Karbovnichaya E.A., Smirnova S.S.; editing, approval of the final version of the article – Semenenko T.A., Golubkova A.A.

For citation: Platonova T.A., Semenenko T.A., Golubkova A.A., Sisin E.I., Sklyar M.S., Karbovnichaya E.A., Smirnova S.S. Prognostic criteria for the development of severe clinical forms of COVID-19 in medical organization workers. Infektsionnye bolezni: novosti, mneniya, obuchenie [Infectious Diseases: News, Opinions, Training]. 2022; 11 (4): 19–29. DOI: https://doi.org/10.33029/2305-3496-2022-11-4-19-29

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CHIEF EDITOR
Aleksandr V. Gorelov
Academician of the Russian Academy of Sciences, MD, Head of Infection Diseases and Epidemiology Department of the Scientific and Educational Institute of Clinical Medicine named after N.A. Semashko ofRussian University of Medicine, Ministry of Health of the Russian Federation, Professor of the Department of Childhood Diseases, Clinical Institute of Children's Health named after N.F. Filatov, Sechenov First Moscow State Medical University, Ministry of Health of the Russian Federation, Deputy Director for Research, Central Research Institute of Epidemiology, Rospotrebnadzor (Moscow, Russian Federation)

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