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Systematic analysis of electronic health records identifies drugs reducing risk of COVID-19 hospitalization and severity
Ariel Israel; Alejandro Schaffer; Assi Cicurel; Ilan Feldhamer; Ameer Tal; Kuoyuan Cheng; Sanju Sinha; Eyal Schiff; Gil Lavie; Eytan Ruppin.
Afiliação
  • Ariel Israel; Clalit Health Services
  • Alejandro Schaffer; Cancer Data Science Laboratory, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
  • Assi Cicurel; Division of Planning and Strategy, Clalit Health Services, Israel
  • Ilan Feldhamer; Division of Planning and Strategy, Clalit Health Services, Israel
  • Ameer Tal; Division of Planning and Strategy, Clalit Health Services, Israel
  • Kuoyuan Cheng; Cancer Data Science Laboratory, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
  • Sanju Sinha; Cancer Data Science Laboratory, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
  • Eyal Schiff; Sheba Medical Center, Tel-Aviv University, Israel
  • Gil Lavie; Division of Planning and Strategy, Clalit Health Services, Israel
  • Eytan Ruppin; Cancer Data Science Laboratory, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
Preprint em En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20211953
ABSTRACT
BackgroundUntil 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. MethodsTwo 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 Fishers exact test. False discovery rate was used to adjust for multiple testing. ResultsMedications 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. ConclusionsUbiquinone, 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. FundingThis research was supported in part by the Intramural Research Program of the National Institutes of Health, NCI.
Licença
cc_by_nc_nd
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Cohort_studies / Experimental_studies / Observational_studies / Prognostic_studies / Systematic_reviews Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Cohort_studies / Experimental_studies / Observational_studies / Prognostic_studies / Systematic_reviews Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint