Aim: Recent studies on coronavirus disease 2019 (COVID-19) have not offered sufficient clinical evidence to support whether IFN-α can decrease the mortality of patients with COVID-19. Method: In this retrospective study, 103 of 1555 hospitalized COVID-19 patients were treated with IFN-α, and the others matched through propensity score matching. Cox regression model, logistics analysis and Kaplan–Meier statistics depicted the survival curve. Results & conclusion: Single factor analysis demonstrated that fewer deaths occurred in patients treated with IFN-α compared with patients treated without IFN-α (p = 0.000). Logistics analysis showed that patients treated with IFN-α had an all-cause mortality odds ratio = 0.01 (95% CI: 0.001–0.110; p = 0.000). The Cox regression model was utilized to determine an all-cause mortality with a hazard ratio of 0.102 (95% CI: 0.030–0.351; p = 0.000). IFN-α can alleviate disease severity and decrease all-cause mortality, especially in critical patients. IFN-α could effectively treat patients with COVID-19.
【저자키워드】 COVID-19, SARS-CoV-2, Mortality, Clinical characteristics, interferon, administration, survival curve, logistics analysis, 【초록키워드】 coronavirus disease, disease severity, Retrospective study, survival, death, Critical, patients, hospitalized COVID-19 patient, Analysis, propensity score matching, Odds ratio, IFN-α, Support, Cox regression model, hazard ratio, all-cause mortality, treat, clinical evidence, logistics, Kaplan–Meier, recent, decrease, Result, occurred, treated, determine, demonstrated, alleviate, offered, patients treated, patients with COVID-19, 【제목키워드】 coronavirus disease, IFN-α, patients hospitalized,