Clinical impact of combination therapy with baricitinib, remdesivir, and dexamethasone in patients with severe COVID-19

RESPIRATORY INVESTIGATION(2021)

引用 24|浏览0
暂无评分
摘要
Background: Coronavirus disease 2019 (COVID-19) has spread worldwide and is also an important disease in Japan. Thus, the optimal treatment strategy for severe COVID-19 should be established urgently. The effects of combination treatment with baricitinib-a Janus kinase inhibitor, remdesivir, and dexamethasone (BRD) are unknown. Methods: Patients who received combination therapy with BRD at the Japanese Red Cross Medical Center were enrolled in the study. All patients received baricitinib (<= 14 d), remdesivir (<= 10 d), and dexamethasone (<= 10 d). The efficacy and adverse events were evaluated. Results: In total, 44 patients with severe COVID-19 were enrolled in this study. The 28-d mortality rate was low at 2.3% (1/44 patients). The need for invasive mechanical ventilation was avoided in most patients (90%, 17/19 patients). Patients who received BRD therapy had a median hospitalization duration of 11 d, time to recovery of 9 d, duration of intensive care unit stay of 6 d, duration of invasive mechanical ventilation of 5 d, and duration of supplemental oxygen therapy of 5 d. Adverse events occurred in 15 patients (34%). Liver dysfunction, thrombosis, iliopsoas hematoma, renal dysfunction, ventilator- associated pneumonia, infective endocarditis, and herpes zoster occurred in 11%, 11%, 2%, 2%, 2%, 2%, and 2% of patients, respectively. Conclusions: Combination therapy with BRD was effective in treating severe COVID-19, and the incidence rate of adverse events was low. The results of the present study are encouraging; however, further randomized clinical studies are needed. (C) 2021 The Japanese Respiratory Society. Published by Elsevier B.V. All rights reserved.
更多
查看译文
关键词
Coronavirus disease 2019, Severe acute respiratory syndrome coronavirus 2, Acute respiratory distress syndrome, Adverse event, Efficacy
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要