COVID-19 and the heart: direct and indirect impact

Канорский, С. Г.

doi:10.25207/1608-6228-2021-28-1-16-31

Cited by 5 publications

(2 citation statements)

References 56 publications

(13 reference statements)

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“…Therefore, when hospitalizing patients with suspected or confirmed COVID-19, experts recommend to determine blood levels of D-dimer, fibrinogen and other parameters of the blood coagulation system, to count the number of platelets in the blood, and, only in accordance with the test results, to prescribe antithrombotic therapy [ 21 ]. It is well known that the D-dimer blood level exceeding the upper limit of normal values more than 2 times indicates an increased risk of deep vein thrombosis of the lower extremities and thromboembolism of the pulmonary arteries [ 10 , 21 ]. In COVID-19 patients, it was proposed to consider the D-dimer blood level high if it is 3–4 times higher than the upper limit of the reference range, and extremely high if this limit is exceeded by 5–6 times or more [ 21 ].…”

Section: Discussionmentioning

confidence: 99%

“…with poor outcome, there were noted an increase in the D-dimer level, a decrease in the prothrombin time (PT) and activated partial thromboplastin time (APTT) [ 8 , 9 ]. Since these changes in hemostasis correspond to disseminated intravascular blood coagulation, COVID-19 is believed to be associated with venous or arterial thrombosis [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Some Physiological and Biochemical Indices in Patients with Covid-19 Pneumonia Using Mathematical Methods

Громов

Rogacheva

Barulina

et al. 2021

J Evol Biochem Phys

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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.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of Some Physiological and Biochemical Indices in Patients with Covid-19 Pneumonia Using Mathematical Methods

Громов

Rogacheva

Barulina

et al. 2021

J Evol Biochem Phys

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Mathematical Model for the Investigation of Hypoxic States in the Heart Muscle at Viral Damage

Aralova¹

2021

Biotechnol. acta

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The main complications of organism damaged by SARS-CoV-2 virus are various cardiovascular system lesions. As a result, the secondary tissue hypoxia is developed and it is relevant to search the means for hypoxic state alleviation. Mathematical modeling of this process, followed by the imitation of hypoxic states development, and subsequent correction of hypoxia at this model may be one of the directions for investigations. Aim. The purpose of this study was to construct mathematical models of functional respiratory and blood circulatory systems to simulate the partial occlusion of blood vessels during viral infection lesions and pharmacological correction of resulting hypoxic state. Methods. Methods of mathematical modeling and dynamic programming were used. Transport and mass exchange of respiratory gases in organism, partial occlusion of blood vessels and influence of antihypoxant were described by the systems of ordinary nonlinear differential equations. Results. Mathematical model of functional respiratory system was developed to simulate pharmacological correction of hypoxic states caused by the complications in courses of viral infection lesions. The model was based on the theory of functional systems by P. K. Anokhin and the assumption about the main function of respiratory system. The interactions and interrelations of individual functional systems in organism were assumed. Constituent parts of our model were the models of transport and mass exchange of respiratory gases in organism, selforganization of respiratory and blood circulatory systems, partial occlusion of blood vessels and the transport of pharmacological substance. Conclusions. The series of computational experiments for averaged person organism demonstrated the possibility of tissue hypoxia compensation using pharmacological substance with vasodilating effect, and in the case of individual data array, it may be useful for the development of strategy and tactics for individual patient medical treatment.

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