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Association of previous medications with the risk of COVID-19: a nationwide claims-based study from South Korea
Kyungmin Huh; Wonjun Ji; Minsun Kang; Jinwook Hong; Gi Hwan Bae; Rugyeom Lee; Yewon Na; Hyoseon Choi; Seon Yeong Gong; Jaehun Jung.
Afiliação
  • Kyungmin Huh; Division of Infectious Diseases, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
  • Wonjun Ji; Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
  • Minsun Kang; Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
  • Jinwook Hong; Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
  • Gi Hwan Bae; Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
  • Rugyeom Lee; Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
  • Yewon Na; Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
  • Hyoseon Choi; Department of Preventive Medicine, Gachon University College of Medicine, Incheon, Korea
  • Seon Yeong Gong; Department of Preventive Medicine, Gachon University College of Medicine, Incheon, Korea
  • Jaehun Jung; Department of Preventive Medicine, Gachon University College of Medicine; Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon Un
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20089904
ABSTRACT
BackgroundIdentifying the association between medications taken prior to the infection of coronavirus disease (COVID-19) might be useful during the current pandemic until a proven treatment is developed. We aimed to determine whether the risk of developing COVID-19 was associated with the use of various drugs that may increase or decrease susceptibility to severe acute respiratory syndrome coronavirus 2 infection and COVID-19. Methods and FindingsA case-control study was performed using a nationwide claims database of South Korea, where a large testing capacity has been available throughout the pandemic. Exposure was defined as the prescription of study drugs that would have been continued until [≤]7 days before the testing for COVID-19. Adults were considered eligible if they were [≥]18 years old and tested for COVID-19. Among the 65,149 eligible subjects (mean age, 48.3 years; 49.4% male), 5,172 (7.9%) were diagnosed with COVID-19. Hydroxychloroquine was not significantly associated with the risk of COVID-19 (adjusted odds ratio [aOR], 1.48; 95% CI, 0.95-2.31). In the overall population, lower risks of COVID-19 were associated with the use of camostat (aOR, 0.45; 95% CI, 0.20-1.02) and amiodarone (aOR, 0.54; 95% CI, 0.33-0.89), although the differences were not significant in the subgroup analyses. Angiotensin receptor blockers were also associated with a slightly increased risk of COVID-19 (aOR, 1.13; 95% CI, 1.01-1.26), which was also not observed in the subgroup analysis. The study limitations include potential bias regarding the controls characteristics, inability to determine prescription compliance, and a lack of information regarding the severity of underlying conditions. ConclusionsNo medications were consistently associated with increased or decreased risks of COVID-19. These findings suggest that a more cautious approach is warranted for the clinical use of re-purposed drugs until the results are available from clinical trials.
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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