Optimal Drug Regimen and Combined Drug Therapy and Its Efficacy in the Treatment of COVID-19: A Within-Host Modeling Study.

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From: Acta Biotheoretica(Vol. 70, Issue 2)
Publisher: Springer
Document Type: Report; Brief article
Length: 353 words

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Abstract :

Keywords: COVID-19; Inflammatory mediators; Drug interventions; Arbidol; Remdesivir; Interferon; Lopinavir/Ritonavir; Optimal control problem; Optimal drug Regimen; Comparative effectiveness study Abstract The COVID-19 pandemic has resulted in more than 524 million cases and 6 million deaths worldwide. Various drug interventions targeting multiple stages of COVID-19 pathogenesis can significantly reduce infection-related mortality. The current within-host mathematical modeling study addresses the optimal drug regimen and efficacy of combination therapies in the treatment of COVID-19. The drugs/interventions considered include Arbidol, Remdesivir, Interferon (INF) and Lopinavir/Ritonavir. It is concluded that these drugs, when administered singly or in combination, reduce the number of infected cells and viral load. Four scenarios dealing with the administration of a single drug, two drugs, three drugs and all four are discussed. In all these scenarios, the optimal drug regimen is proposed based on two methods. In the first method, these medical interventions are modeled as control interventions and a corresponding objective function and optimal control problem are formulated. In this framework, the optimal drug regimen is derived. Later, using the comparative effectiveness method, the optimal drug regimen is derived based on the basic reproduction number and viral load. The average number of infected cells and viral load decreased the most when all four drugs were used together. On the other hand, the average number of susceptible cells decreased the most when Arbidol was administered alone. The basic reproduction number and viral load decreased the most when all four interventions were used together, confirming the previously obtained finding of the optimal control problem. The results of this study can help physicians make decisions about the treatment of the life-threatening COVID-19 infection. Author Affiliation: (1) Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning - SSSIHL, Anantapur, India (2) Central Leprosy Teaching and Research Institute - CLTRI, Chennai, India (3) Department of Community Medicine, All India Institute of Medical Sciences - AIIMS, Nagpur, India (4) Sri Sathya Sai Institute of Higher Learning - SSSIHL, Anantapur, India (5) Department of Medicine, Karolinska Institute, Stockholm, Sweden (c) dkkvamsi@sssihl.edu.in Article History: Registration Date: 05/13/2022 Received Date: 03/03/2021 Accepted Date: 05/11/2022 Online Date: 05/19/2022 Byline:

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Gale Document Number: GALE|A704408133