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Identification of drugs associated with reduced severity of COVID-19 – a case-control study in a large population
BACKGROUND: Until coronavirus disease 2019 (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. Toward this objective, we conducted a large population study in...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321549/ https://www.ncbi.nlm.nih.gov/pubmed/34313216 http://dx.doi.org/10.7554/eLife.68165 |
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author | Israel, Ariel Schäffer, Alejandro A Cicurel, Assi Cheng, Kuoyuan Sinha, Sanju Schiff, Eyal Feldhamer, Ilan Tal, Ameer Lavie, Gil Ruppin, Eytan |
author_facet | Israel, Ariel Schäffer, Alejandro A Cicurel, Assi Cheng, Kuoyuan Sinha, Sanju Schiff, Eyal Feldhamer, Ilan Tal, Ameer Lavie, Gil Ruppin, Eytan |
author_sort | Israel, Ariel |
collection | PubMed |
description | BACKGROUND: Until coronavirus disease 2019 (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. Toward 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 to 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-8321549 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-83215492021-07-30 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 Cheng, Kuoyuan Sinha, Sanju Schiff, Eyal Feldhamer, Ilan Tal, Ameer Lavie, Gil Ruppin, Eytan eLife Epidemiology and Global Health BACKGROUND: Until coronavirus disease 2019 (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. Toward 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 to 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. eLife Sciences Publications, Ltd 2021-07-27 /pmc/articles/PMC8321549/ /pubmed/34313216 http://dx.doi.org/10.7554/eLife.68165 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication (https://creativecommons.org/publicdomain/zero/1.0/) . |
spellingShingle | Epidemiology and Global Health Israel, Ariel Schäffer, Alejandro A Cicurel, Assi Cheng, Kuoyuan Sinha, Sanju Schiff, Eyal Feldhamer, Ilan Tal, Ameer 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 | Epidemiology and Global Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321549/ https://www.ncbi.nlm.nih.gov/pubmed/34313216 http://dx.doi.org/10.7554/eLife.68165 |
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