Assessment of the Severity of COVID-19 on the Basis of Examination and Laboratory Diagnostics in Relation to Computed Tomography Imagery of Patients Hospitalised Due to COVID-19—Single-Centre Study

Author:

Ilczak Tomasz1,Skoczynski Szymon2ORCID,Oclon Ewa3,Kucharski Mirosław4ORCID,Strejczyk Tomasz5,Jagosz Marta6ORCID,Jedynak Antonina7,Wita Michał8,Ćwiertnia Michał1,Jędrzejek Marek9ORCID,Dutka Mieczysław10ORCID,Waksmańska Wioletta11ORCID,Bobiński Rafał10,Pakuła Roch12ORCID,Kawecki Marek1,Kukla Paweł13,Białka Szymon14ORCID

Affiliation:

1. Department of Emergency Medicine, Faculty of Health Sciences, University of Bielsko-Biala, 43-309 Bielsko-Biała, Poland

2. Department of Lung Diseases and Tuberculosis, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 40-752 Katowice, Poland

3. Centre for Experimental and Innovative Medicine, Laboratory of Recombinant Proteins Production, University of Agriculture in Krakow, 30-059 Kraków, Poland

4. Department of Animal Physiology and Endocrinology, University of Agriculture in Krakow, Al Mickiewicza 24/28, 30-059 Krakow, Poland

5. Leszek Giec Upper-Silesian Medical Centre, Medical University of Silesia in Katowice, 40-287 Katowice, Poland

6. Students’ Scientific Association, Department of Anaesthesiology and Intensive Care, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 40-287 Katowice, Poland

7. Students’ Scientific Association, Department of Pneumonology, School of Medicine in Katowice, Medical University of Silesia, 40-287 Katowice, Poland

8. Department of Cardiology, Faculty of Medical Sciences in Katowice, Medical University of Silesia, 40-287 Katowice, Poland

9. Division of Cardiology and Structural Heart Diseases, Medical University of Silesia, 40-287 Katowice, Poland

10. Department of Biochemistry and Molecular Biology, Faculty of Health Sciences, University of Bielsko-Biala, 43-309 Bielsko-Biała, Poland

11. Department of Public Health, Faculty of Health Sciences, University of Bielsko-Biala, 43-309 Bielsko-Biała, Poland

12. Department of Cardiac Surgery, Cardiac and Lung Transplantation, Mechanical Circulatory Support, Silesian Centre for Heart Diseases, 41-800 Zabrze, Poland

13. Medical College, Jagiellonian University, 31-001 Kraków, Poland

14. Department of Anesthesia and Intensive Therapy, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 40-287 Katowice, Poland

Abstract

From the moment the SARS-CoV-2 virus was identified in December 2019, the COVID-19 disease spread around the world, causing an increase in hospitalisations and deaths. From the beginning of the pandemic, scientists tried to determine the major cause that led to patient deaths. In this paper, the background to creating a research model was diagnostic problems related to early assessment of the degree of damage to the lungs in patients with COVID-19. The study group comprised patients hospitalised in one of the temporary COVID hospitals. Patients admitted to the hospital had confirmed infection with SARS-CoV-2. At the moment of admittance, arterial blood was taken and the relevant parameters noted. The results of physical examinations, the use of oxygen therapy and later test results were compared with the condition of the patients in later computed tomography images and descriptions. The point of reference for determining the severity of the patient’s condition in the computer imagery was set for a mild condition as consisting of a percentage of total lung parenchyma surface area affected no greater than 30%, an average condition of between 30% and 70%, and a severe condition as greater than 70% of the lung parenchyma surface area affected. Patients in a mild clinical condition most frequently had mild lung damage on the CT image, similarly to patients in an average clinical condition. Patients in a serious clinical condition most often had average levels of damage on the CT image. On the basis of the collected data, it can be said that at the moment of admittance, BNP, PE and HCO3− levels, selected due to the form of lung damage, on computed tomography differed from one another in a statistically significant manner (p < 0.05). Patients can qualify for an appropriate group according to the severity of COVID-19 on the basis of a physical examination and applied oxygen therapy. Patients can qualify for an appropriate group according to the severity of COVID-19 on the basis of BNP, HCO3 and BE parameters obtained from arterial blood.

Publisher

MDPI AG

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