Comparative analysis of laboratory data of patients suffering from SARS-CoV-2-induced pneumonia and bacterial pneumonia
- 作者: Ismailov D.D.1, Isaev T.A.1, Shustov S.B.1, Sveklina T.S.1, Kozlov V.A.2
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隶属关系:
- Military medical academy of S.M. Kirov
- Chuvash State University
- 期: 卷 22, 编号 4 (2020)
- 页面: 53-58
- 栏目: Clinical trials
- URL: https://journals.rcsi.science/1682-7392/article/view/62805
- DOI: https://doi.org/10.17816/brmma62805
- ID: 62805
如何引用文章
详细
Comparative analysis of laboratory data of 46 patients suffering from pneumonia caused by SARS-CoV-2 and 12 patients - pneumonia of bacterial etiology is given. It was established that in patients with COVID-19 compared to patients with bacterial pneumonia, the level of direct bilirubin is 84% more, and thrombocrit is three times more, which can indicate intravascular hemolysis and activation of the hemostasis system. Sex differences in laboratory indicators in patients with COVID-19, which go beyond the known limits of the physiological norm, were not detected. However, in men, hematocrit, hemoglobin, and plasma creatinine values were statistically higher than in women, but the amount of C-reactive protein in women was 5 times greater. However, these laboratory measures in COVID-19 have low prognostic significance. Therefore, conventional laboratory measures do not reveal clinic-critical differences in bacterial pneumonia and pneumonia caused by SARS-CoV-2. When conducting multifactorial analysis, it turned out that the laboratory indicators of patients suffering from bacterial pneumonia are not clustered and it is impossible to form predictor models from them. While laboratory indicators of patients suffering from pneumonia caused by COVID-19 form a directed pathogenetic response of the body as a whole, which causes multi-branch associated changes in homeostasis. Unfortunately, the amount of data available to us did not allow a qualitative discriminant analysis, which, with a very large amount of data, could lead to discriminant equations that are resistant to random “emissions.” This would allow, according to the available key individual laboratory indicators, to identify patients suffering from COVID-19 in the early stages already in the first hours of admission to the clinic.
作者简介
D. Ismailov
Military medical academy of S.M. Kirov
编辑信件的主要联系方式.
Email: vmeda-nio@mil.ru
俄罗斯联邦, Saint Petersburg
T. Isaev
Military medical academy of S.M. Kirov
Email: vmeda-nio@mil.ru
俄罗斯联邦, Saint Petersburg
S. Shustov
Military medical academy of S.M. Kirov
Email: vmeda-nio@mil.ru
俄罗斯联邦, Saint Petersburg
T. Sveklina
Military medical academy of S.M. Kirov
Email: vmeda-nio@mil.ru
俄罗斯联邦, Saint Petersburg
V. Kozlov
Chuvash State University
Email: vmeda-nio@mil.ru
俄罗斯联邦, Cheboksary
参考
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