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Analysis of Some Physiological and Biochemical Indices in Patients with Covid-19 Pneumonia Using Mathematical Methods
The aim of the work was to conduct a retrospective analysis of the clinical data of patients with pneumonia caused by the SARS-CoV-2 virus, and to determine via mathematical methods the significance of some physiological and biochemical indices as predictive markers of an unfavorable outcome of the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Pleiades Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8685818/ https://www.ncbi.nlm.nih.gov/pubmed/34955552 http://dx.doi.org/10.1134/S0022093021060181 |
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author | Gromov, M. S. Rogacheva, S. M. Barulina, M. A. Reshetnikov, A. A. Prokhozhev, D. A. Fomina, A. Yu. |
author_facet | Gromov, M. S. Rogacheva, S. M. Barulina, M. A. Reshetnikov, A. A. Prokhozhev, D. A. Fomina, A. Yu. |
author_sort | Gromov, M. S. |
collection | PubMed |
description | The aim of the work was to conduct a retrospective analysis of the clinical data of patients with pneumonia caused by the SARS-CoV-2 virus, and to determine via mathematical methods the significance of some physiological and biochemical indices as predictive markers of an unfavorable outcome of the disease. A random cohort of patients with COVID-19 pneumonia numbered 209 people. Mathematical analysis addressed the physiological characteristics of patients recorded at the time of hospital admission, as well as blood coagulation parameters and those reflecting the development of an inflammatory reaction. The analyzed parameters were categorized relative to the reference ranges of physiologically normal values. Correlation analysis was carried out using categorical data on the disease outcome. The algorithms for calculating statistical characteristics, as well as results visualization, were programmed in Python. When comparing patient groups, the significance of differences between the determined parameters was assessed using the Pearson’s χ(2) test with Yates’ correction. The study showed that the age over 50 and male sex can be considered risk factors for patients with COVID-19 pneumonia (p < 0.05). The disease outcome was found to be significantly affected by cardiovascular pathologies (p < 0.01) and to a lesser extent by diabetes mellitus (p < 0.10). There were revealed maximal correlation coefficients between the oxygen saturation level (–0.43), as well as the breathing rate (0.43), and a fatal outcome of the disease. For patients over 50 years of age, oxygen saturation below 80% at the time of hospital admission turned out to be a marker of mortality. It was shown that D-dimer blood levels above 625 ng/mL in patients over 80 years of age correlated with mortal outcomes. No correlation was found between the C-reactive protein (CRP) level and the disease outcome. The effect of corticosteroids on the disease outcome was analyzed in patients with different CRP levels. It was found that, while using corticosteroids, the mortality rate in patients with CRP ≤ 12.5 mg/L is 2.7 times higher than in those with CRP > 12.5 mg/L (p < 0.01). Thus, the use of adequate mathematical methods made it possible to define more precisely some mortality-associated physiological and biochemical indices in patients with COVID-19 pneumonia. |
format | Online Article Text |
id | pubmed-8685818 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Pleiades Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-86858182021-12-20 Analysis of Some Physiological and Biochemical Indices in Patients with Covid-19 Pneumonia Using Mathematical Methods Gromov, M. S. Rogacheva, S. M. Barulina, M. A. Reshetnikov, A. A. Prokhozhev, D. A. Fomina, A. Yu. J Evol Biochem Physiol Experimental Papers The aim of the work was to conduct a retrospective analysis of the clinical data of patients with pneumonia caused by the SARS-CoV-2 virus, and to determine via mathematical methods the significance of some physiological and biochemical indices as predictive markers of an unfavorable outcome of the disease. A random cohort of patients with COVID-19 pneumonia numbered 209 people. Mathematical analysis addressed the physiological characteristics of patients recorded at the time of hospital admission, as well as blood coagulation parameters and those reflecting the development of an inflammatory reaction. The analyzed parameters were categorized relative to the reference ranges of physiologically normal values. Correlation analysis was carried out using categorical data on the disease outcome. The algorithms for calculating statistical characteristics, as well as results visualization, were programmed in Python. When comparing patient groups, the significance of differences between the determined parameters was assessed using the Pearson’s χ(2) test with Yates’ correction. The study showed that the age over 50 and male sex can be considered risk factors for patients with COVID-19 pneumonia (p < 0.05). The disease outcome was found to be significantly affected by cardiovascular pathologies (p < 0.01) and to a lesser extent by diabetes mellitus (p < 0.10). There were revealed maximal correlation coefficients between the oxygen saturation level (–0.43), as well as the breathing rate (0.43), and a fatal outcome of the disease. For patients over 50 years of age, oxygen saturation below 80% at the time of hospital admission turned out to be a marker of mortality. It was shown that D-dimer blood levels above 625 ng/mL in patients over 80 years of age correlated with mortal outcomes. No correlation was found between the C-reactive protein (CRP) level and the disease outcome. The effect of corticosteroids on the disease outcome was analyzed in patients with different CRP levels. It was found that, while using corticosteroids, the mortality rate in patients with CRP ≤ 12.5 mg/L is 2.7 times higher than in those with CRP > 12.5 mg/L (p < 0.01). Thus, the use of adequate mathematical methods made it possible to define more precisely some mortality-associated physiological and biochemical indices in patients with COVID-19 pneumonia. Pleiades Publishing 2021-12-20 2021 /pmc/articles/PMC8685818/ /pubmed/34955552 http://dx.doi.org/10.1134/S0022093021060181 Text en © Pleiades Publishing, Ltd. 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Experimental Papers Gromov, M. S. Rogacheva, S. M. Barulina, M. A. Reshetnikov, A. A. Prokhozhev, D. A. Fomina, A. Yu. Analysis of Some Physiological and Biochemical Indices in Patients with Covid-19 Pneumonia Using Mathematical Methods |
title | Analysis of Some Physiological and Biochemical Indices in Patients with Covid-19 Pneumonia Using Mathematical Methods |
title_full | Analysis of Some Physiological and Biochemical Indices in Patients with Covid-19 Pneumonia Using Mathematical Methods |
title_fullStr | Analysis of Some Physiological and Biochemical Indices in Patients with Covid-19 Pneumonia Using Mathematical Methods |
title_full_unstemmed | Analysis of Some Physiological and Biochemical Indices in Patients with Covid-19 Pneumonia Using Mathematical Methods |
title_short | Analysis of Some Physiological and Biochemical Indices in Patients with Covid-19 Pneumonia Using Mathematical Methods |
title_sort | analysis of some physiological and biochemical indices in patients with covid-19 pneumonia using mathematical methods |
topic | Experimental Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8685818/ https://www.ncbi.nlm.nih.gov/pubmed/34955552 http://dx.doi.org/10.1134/S0022093021060181 |
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