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. 2023 Aug 11;228(12):1667–1674. doi: 10.1093/infdis/jiad324

Table 4.

Multivariable Logistic Regression Analysis to Determine the Effectiveness of Nirmatrelvir/Ritonavir Treatment

Explanatory Variable Odds Ratio 95% CI P Value
Model 1a
Treatment
 Nonrecipients 1.00
 Nirmatrelvir/ritonavir recipients 0.31 .27–.36 <.001
Age, per year 1.09 1.08–1.10 <.001
Previous COVID-19
 No previous SARS-CoV-2 infection 1.00
 Previous SARS-CoV-2 infection 0.55 .37–.80 .003
Vaccination status
 Unvaccinated 1.00
 Vaccination: 2, 3, or 4 doses ≤6 mo before index SARS-CoV-2 infection 0.53 .44–.63 <.001
 Vaccination: 2, 3, or 4 doses >6 mo before index SARS-CoV-2 infection 0.49 .41–.59 <.001
Model 2b
Treatment
 Nonrecipients 1.00
 Nirmatrelvir/ritonavir recipients 0.28 .22–.36 <.001
Age, per year 1.16 1.15–1.18 <.001
Previous COVID-19
 No previous SARS-CoV-2 infection 1.00
 Previous SARS-CoV-2 infection 0.32 .14–.64 .003
Vaccination status
 Unvaccinated 1.00
 Vaccination: 2, 3, or 4 doses ≤6 mo before index SARS-CoV-2 infection 0.42 .32–.55 <.001
 Vaccination: 2, 3, or 4 doses >6 mo before index SARS-CoV-2 infection 0.25 .18–.34 <.001

Abbreviation: ICU, intensive care unit.

aModel 1: hospitalization without ICU admission, clinical deterioration, or death vs no hospitalization, ICU admission, clinical deterioration, or death.

bModel 2: death with or without ICU admission or clinical deterioration vs no hospitalization, ICU admission, clinical deterioration, or death.