Markov model in evaluating the efficiency of various COVID-19 treatment regimens

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Abstract

Objective. To consider the evidence-based approaches to treating virus-associated lung tissue lesions, the rationale for using the Markov model to evaluate the clinical and economic efficacy of interleukin (IL)-6 (IL-6) receptor inhibitors in patients with COVID-19.

Subjects and methods. To evaluate the clinical and economic effectiveness of using the receptor inhibitors in COVID-19 patients, the investigators formed two groups: 1) 187 patients received the standard therapy; 2) 104 patients had IL-6 receptor inhibitors in addition to the standard therapy.

Results and conclusion. The logistic regression method was used to determine the need for prescribing these drugs depending on the individual characteristics of patients, the key points were the length of a patient's stay in the intensive care unit, as well as the duration of oxygen support. In the context of new challenges to the healthcare system, it is necessary to further search for comprehensive methods of monitoring the condition and prognosis with promising ways to assess the validity of using therapeutic procedures and drugs.

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About the authors

Е. S. Vdoushkina

Samara State Medical University, Ministry of Health of Russia

Email: borodulinbe@yandex.ru
ORCID iD: 0000-0003-0039-6829

Candidate of Medical Sciences

Russian Federation, Samara

E. A. Borodulina

Samara State Medical University, Ministry of Health of Russia

Author for correspondence.
Email: borodulinbe@yandex.ru
ORCID iD: 0000-0002-3063-1538

MD, Professor

Russian Federation, Samara

E. P. Gladunova

Samara State Medical University, Ministry of Health of Russia

Email: borodulinbe@yandex.ru
ORCID iD: 0000-0002-8137-7197

PharmD, Associate Professor

Russian Federation, Samara

L. V. Povalyaeva

Samara State Medical University, Ministry of Health of Russia

Email: borodulinbe@yandex.ru
ORCID iD: 0000-0002-2546-1837

Candidate of Medical Sciences

Russian Federation, Samara

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Supplementary files

Supplementary Files
Action
1. JATS XML
2. Markov model

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