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Identification of potential new COVID-19 treatments via RWD-driven drug repurposing
By utilizing Optum Life Sciences Claims Data, we constructed Real World Data (RWD) cohorts comprising over 3 million patients and simulated a clinical trial observational study design to evaluate over 200 FDA-approved drugs with COVID-19 repurposing potential, and identified a dozen candidates exhib...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477169/ https://www.ncbi.nlm.nih.gov/pubmed/37666866 http://dx.doi.org/10.1038/s41598-023-40033-8 |
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author | Liao, Yun |
author_facet | Liao, Yun |
author_sort | Liao, Yun |
collection | PubMed |
description | By utilizing Optum Life Sciences Claims Data, we constructed Real World Data (RWD) cohorts comprising over 3 million patients and simulated a clinical trial observational study design to evaluate over 200 FDA-approved drugs with COVID-19 repurposing potential, and identified a dozen candidates exhibiting significant reduction in the odds of severe COVID-19 outcomes such as death, intensive care unit (ICU) admission, hospitalization and pneumonia. Notably, certain drug combinations demonstrated effects comparable to those of COVID-19 vaccines. Furthermore, our study revealed a novel finding: a quantitative linear relationship between COVID-19 outcomes and overall patient health risks. This discovery enabled a more precise estimation of drug efficacy using the risk adjustment. The top performing drugs identified include emtricitabine, tenofovir, folic acid, progesterone, estradiol, epinephrine, disulfiram, nitazoxanide and some drug combinations including aspirin-celecoxib. |
format | Online Article Text |
id | pubmed-10477169 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104771692023-09-06 Identification of potential new COVID-19 treatments via RWD-driven drug repurposing Liao, Yun Sci Rep Article By utilizing Optum Life Sciences Claims Data, we constructed Real World Data (RWD) cohorts comprising over 3 million patients and simulated a clinical trial observational study design to evaluate over 200 FDA-approved drugs with COVID-19 repurposing potential, and identified a dozen candidates exhibiting significant reduction in the odds of severe COVID-19 outcomes such as death, intensive care unit (ICU) admission, hospitalization and pneumonia. Notably, certain drug combinations demonstrated effects comparable to those of COVID-19 vaccines. Furthermore, our study revealed a novel finding: a quantitative linear relationship between COVID-19 outcomes and overall patient health risks. This discovery enabled a more precise estimation of drug efficacy using the risk adjustment. The top performing drugs identified include emtricitabine, tenofovir, folic acid, progesterone, estradiol, epinephrine, disulfiram, nitazoxanide and some drug combinations including aspirin-celecoxib. Nature Publishing Group UK 2023-09-04 /pmc/articles/PMC10477169/ /pubmed/37666866 http://dx.doi.org/10.1038/s41598-023-40033-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Liao, Yun Identification of potential new COVID-19 treatments via RWD-driven drug repurposing |
title | Identification of potential new COVID-19 treatments via RWD-driven drug repurposing |
title_full | Identification of potential new COVID-19 treatments via RWD-driven drug repurposing |
title_fullStr | Identification of potential new COVID-19 treatments via RWD-driven drug repurposing |
title_full_unstemmed | Identification of potential new COVID-19 treatments via RWD-driven drug repurposing |
title_short | Identification of potential new COVID-19 treatments via RWD-driven drug repurposing |
title_sort | identification of potential new covid-19 treatments via rwd-driven drug repurposing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477169/ https://www.ncbi.nlm.nih.gov/pubmed/37666866 http://dx.doi.org/10.1038/s41598-023-40033-8 |
work_keys_str_mv | AT liaoyun identificationofpotentialnewcovid19treatmentsviarwddrivendrugrepurposing |