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Joint analysis of vaccination effectiveness and antiviral drug effectiveness for COVID-19: a causal inference approach.
Cheung, Yue Yat Harrison; Lau, Eric Ho Yin; Yin, Guosheng; Lin, Yun; Jiang, Jialiang; Cowling, Benjamin John; Lam, Kwok Fai.
Afiliación
  • Cheung YYH; Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Lau EHY; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Yin G; Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong Special Administrative Region, China; Department of Mathematics, Imperial College London, London, The United Kingdom.
  • Lin Y; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Jiang J; Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Cowling BJ; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; Laboratory of Data Discovery for Health (D24H) Limited, Hong Kong Science and Technology Park, Hong
  • Lam KF; Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong Special Administrative Region, China; Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore. Electronic address: hrntlkf@hku.hk.
Int J Infect Dis ; 143: 107012, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38521448
ABSTRACT

OBJECTIVES:

This study aims to estimate the causal effects of oral antivirals and vaccinations in the prevention of all-cause mortality and progression to severe COVID-19 in an integrative setting with both antivirals and vaccinations considered as interventions.

METHODS:

We identified hospitalized adult patients (i.e. aged 18 or above) in Hong Kong with confirmed SARS-CoV-2 infection between March 16, 2022, and December 31, 2022. An inverse probability-weighted (IPW) Andersen-Gill model with time-dependent predictors was used to address immortal time bias and produce causal estimates for the protection effects of oral antivirals and vaccinations against severe COVID-19.

RESULTS:

Given prescription is made within 5 days of confirmed infection, nirmatrelvir-ritonavir is more effective in providing protection against all-cause mortality and development into severe COVID-19 than molnupiravir. There was no significant difference between CoronaVac and Comirnaty in the effectiveness of reducing all-cause mortality and progression to severe COVID-19.

CONCLUSIONS:

The use of oral antivirals and vaccinations causes lower risks of all-cause mortality and progression to severe COVID-19 for hospitalized SARS-CoV-2 patients.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Antivirales / Vacunas contra la COVID-19 / SARS-CoV-2 / COVID-19 País/Región como asunto: Asia Idioma: En Revista: Int J Infect Dis / Int. j. infect. dis / International journal of infectious diseases Asunto de la revista: DOENCAS TRANSMISSIVEIS Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Antivirales / Vacunas contra la COVID-19 / SARS-CoV-2 / COVID-19 País/Región como asunto: Asia Idioma: En Revista: Int J Infect Dis / Int. j. infect. dis / International journal of infectious diseases Asunto de la revista: DOENCAS TRANSMISSIVEIS Año: 2024 Tipo del documento: Article