Repository: Freie Universität Berlin, Math Department

Clinical Effectiveness of Ritonavir-Boosted Nirmatrelvir—A Literature Review

Paltra, Sydney and Conrad, T. O. F. (2024) Clinical Effectiveness of Ritonavir-Boosted Nirmatrelvir—A Literature Review. Advances in Respiratory Medicine, 92 (1). ISSN 2543-6031

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Nirmatrelvir/Ritonavir is an oral treatment for mild to moderate COVID-19 cases with a high risk for a severe course of the disease. For this paper, a comprehensive literature review was performed, leading to a summary of currently available data on Nirmatrelvir/Ritonavir’s ability to reduce the risk of progressing to a severe disease state. Herein, the focus lies on publications that include comparisons between patients receiving Nirmatrelvir/Ritonavir and a control group. The findings can be summarized as follows: Data from the time when the Delta-variant was dominant show that Nirmatrelvir/Ritonavir reduced the risk of hospitalization or death by 88.9% for unvaccinated, non-hospitalized high-risk individuals. Data from the time when the Omicron variant was dominant found decreased relative risk reductions for various vaccination statuses: between 26% and 65% for hospitalization. The presented papers that differentiate between unvaccinated and vaccinated individuals agree that unvaccinated patients benefit more from treatment with Nirmatrelvir/Ritonavir. However, when it comes to the dependency of potential on age and comorbidities, further studies are necessary. From the available data, one can conclude that Nirmatrelvir/Ritonavir cannot substitute vaccinations; however, its low manufacturing cost and easy administration make it a valuable tool in fighting COVID-19, especially for countries with low vaccination rates.

Item Type:Article
Subjects:Medicine and Dentistry > Clinical Medicine
Mathematical and Computer Sciences > Statistics > Applied Statistics > Medical Statistics
Divisions:Department of Mathematics and Computer Science > Institute of Mathematics
Department of Mathematics and Computer Science > Institute of Mathematics > Comp. Proteomics Group
ID Code:2899
Deposited By: Admin Administrator
Deposited On:06 Jan 2023 08:50
Last Modified:18 Jan 2024 09:14

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