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Identification of drugs associated with reduced severity of COVID-19: A case-control study in a large population
BACKGROUND: Until COVID-19 drugs specifically developed to treat COVID-19 become more widely accessible, it is crucial to identify whether existing medications have a protective effect against severe disease. Towards this objective, we conducted a large population study in Clalit Health Services (CH...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7574266/ https://www.ncbi.nlm.nih.gov/pubmed/33083810 http://dx.doi.org/10.1101/2020.10.13.20211953 |
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author | Israel, Ariel Schäffer, Alejandro A. Cicurel, Assi Feldhamer, Ilan Tal, Ameer Cheng, Kuoyuan Sinha, Sanju Schiff, Eyal Lavie, Gil Ruppin, Eytan |
author_facet | Israel, Ariel Schäffer, Alejandro A. Cicurel, Assi Feldhamer, Ilan Tal, Ameer Cheng, Kuoyuan Sinha, Sanju Schiff, Eyal Lavie, Gil Ruppin, Eytan |
author_sort | Israel, Ariel |
collection | PubMed |
description | BACKGROUND: Until COVID-19 drugs specifically developed to treat COVID-19 become more widely accessible, it is crucial to identify whether existing medications have a protective effect against severe disease. Towards this objective, we conducted a large population study in Clalit Health Services (CHS), the largest healthcare provider in Israel, insuring over 4.7 million members. METHODS: Two case-control matched cohorts were assembled to assess which medications, acquired in the last month, decreased the risk of COVID-19 hospitalization. Case patients were adults aged 18–95 hospitalized for COVID-19. In the first cohort, five control patients, from the general population, were matched to each case (n=6202); in the second cohort, two non-hospitalized SARS-CoV-2 positive control patients were matched to each case (n=6919). The outcome measures for a medication were: odds ratio (OR) for hospitalization, 95% confidence interval (CI), and the p-value, using Fisher’s exact test. False discovery rate was used to adjust for multiple testing. RESULTS: Medications associated with most significantly reduced odds for COVID-19 hospitalization include: ubiquinone (OR=0.185, 95% CI (0.058 to 0.458), p<0.001), ezetimibe (OR=0.488, 95% CI ((0.377 to 0.622)), p<0.001), rosuvastatin (OR=0.673, 95% CI (0.596 to 0.758), p<0.001), flecainide (OR=0.301, 95% CI (0.118 to 0.641), p<0.001), and vitamin D (OR=0.869, 95% CI (0.792 to 0.954), p<0.003). Remarkably, acquisition of artificial tears, eye care wipes, and several ophthalmological products were also associated with decreased risk for hospitalization. CONCLUSIONS: Ubiquinone, ezetimibe and rosuvastatin, all related to the cholesterol synthesis pathway were associated with reduced hospitalization risk. These findings point to a promising protective effect which should be further investigated in controlled, prospective studies. FUNDING: This research was supported in part by the Intramural Research Program of the National Institutes of Health, NCI. |
format | Online Article Text |
id | pubmed-7574266 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-75742662020-10-21 Identification of drugs associated with reduced severity of COVID-19: A case-control study in a large population Israel, Ariel Schäffer, Alejandro A. Cicurel, Assi Feldhamer, Ilan Tal, Ameer Cheng, Kuoyuan Sinha, Sanju Schiff, Eyal Lavie, Gil Ruppin, Eytan medRxiv Article BACKGROUND: Until COVID-19 drugs specifically developed to treat COVID-19 become more widely accessible, it is crucial to identify whether existing medications have a protective effect against severe disease. Towards this objective, we conducted a large population study in Clalit Health Services (CHS), the largest healthcare provider in Israel, insuring over 4.7 million members. METHODS: Two case-control matched cohorts were assembled to assess which medications, acquired in the last month, decreased the risk of COVID-19 hospitalization. Case patients were adults aged 18–95 hospitalized for COVID-19. In the first cohort, five control patients, from the general population, were matched to each case (n=6202); in the second cohort, two non-hospitalized SARS-CoV-2 positive control patients were matched to each case (n=6919). The outcome measures for a medication were: odds ratio (OR) for hospitalization, 95% confidence interval (CI), and the p-value, using Fisher’s exact test. False discovery rate was used to adjust for multiple testing. RESULTS: Medications associated with most significantly reduced odds for COVID-19 hospitalization include: ubiquinone (OR=0.185, 95% CI (0.058 to 0.458), p<0.001), ezetimibe (OR=0.488, 95% CI ((0.377 to 0.622)), p<0.001), rosuvastatin (OR=0.673, 95% CI (0.596 to 0.758), p<0.001), flecainide (OR=0.301, 95% CI (0.118 to 0.641), p<0.001), and vitamin D (OR=0.869, 95% CI (0.792 to 0.954), p<0.003). Remarkably, acquisition of artificial tears, eye care wipes, and several ophthalmological products were also associated with decreased risk for hospitalization. CONCLUSIONS: Ubiquinone, ezetimibe and rosuvastatin, all related to the cholesterol synthesis pathway were associated with reduced hospitalization risk. These findings point to a promising protective effect which should be further investigated in controlled, prospective studies. FUNDING: This research was supported in part by the Intramural Research Program of the National Institutes of Health, NCI. Cold Spring Harbor Laboratory 2021-03-24 /pmc/articles/PMC7574266/ /pubmed/33083810 http://dx.doi.org/10.1101/2020.10.13.20211953 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Israel, Ariel Schäffer, Alejandro A. Cicurel, Assi Feldhamer, Ilan Tal, Ameer Cheng, Kuoyuan Sinha, Sanju Schiff, Eyal Lavie, Gil Ruppin, Eytan Identification of drugs associated with reduced severity of COVID-19: A case-control study in a large population |
title | Identification of drugs associated with reduced severity of COVID-19: A case-control study in a large population |
title_full | Identification of drugs associated with reduced severity of COVID-19: A case-control study in a large population |
title_fullStr | Identification of drugs associated with reduced severity of COVID-19: A case-control study in a large population |
title_full_unstemmed | Identification of drugs associated with reduced severity of COVID-19: A case-control study in a large population |
title_short | Identification of drugs associated with reduced severity of COVID-19: A case-control study in a large population |
title_sort | identification of drugs associated with reduced severity of covid-19: a case-control study in a large population |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7574266/ https://www.ncbi.nlm.nih.gov/pubmed/33083810 http://dx.doi.org/10.1101/2020.10.13.20211953 |
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