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Clin Exp Immunol ; 207(2): 218-226, 2022 04 04.
Article in English | MEDLINE | ID: covidwho-2278276

ABSTRACT

Anakinra, a recombinant, non-glycosylated human interleukin (IL)-1 receptor antagonist, has been used in real-world clinical practice to manage hyperinflammation in coronavirus disease 2019 (COVID-19). This retrospective, observational study analyses US hospital inpatient data of patients diagnosed with moderate/severe COVID-19 and treated with anakinra between 1 April and 31 August 2020. Of the 119 patients included in the analysis, 63.9% were male, 48.6% were of black ethnicity, and the mean (standard deviation [SD]) age was 64.7 (12.5) years. Mean (SD) time from hospital admission to anakinra initiation was 7.3 (6.1) days. Following anakinra initiation, 73.1% of patients received antibiotics, 55.5% received antithrombotics, and 91.0% received corticosteroids. Overall, 64.7% of patients required intensive care unit (ICU) admittance, and 28.6% received mechanical ventilation following admission. Patients who did not require ICU admittance or who were discharged alive experienced a significantly shorter time between hospital admission and receiving anakinra treatment compared with those admitted to the ICU (5 vs. 8 days; P = 0.002) or those who died in hospital (6 vs. 9 days; P = 0.01). Patients with myocardial infarction or renal conditions were six times (P < 0.01) and three times (P = 0.01), respectively, more likely to die in hospital than be discharged alive. A longer time from hospital admission until anakinra treatment was associated with significantly higher mortality (P = 0.01). Findings from this real-world study suggest that a shorter time from hospital admission to anakinra treatment is associated with significantly lower ICU admissions and mortality among patients with moderate/severe COVID-19.


Subject(s)
COVID-19 Drug Treatment , Interleukin 1 Receptor Antagonist Protein , Aged , Female , Humans , Intensive Care Units , Interleukin 1 Receptor Antagonist Protein/therapeutic use , Male , Middle Aged , Respiration, Artificial , Retrospective Studies
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