Author: Liu, Hanqing; Ruan, Zhouru; Yin, Ziwei; Wu, Dan; Zhu, Hong
Title: Association of administration of IFN-α with mortality among patients hospitalized with coronavirus disease 2019 Cord-id: 6sz1ss9d Document date: 2021_3_3
ID: 6sz1ss9d
Snippet: 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 demons
Document: 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.
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