The Effect of IL-6 Inhibitors on Mortality Among Hospitalized COVID-19 Patients: A Multicenter Study

被引:7
作者
Sinha, Pranay [1 ]
Jafarzadeh, S. Reza [2 ]
Assoumou, Sabrina A. [1 ]
Bielick, Catherine G. [3 ]
Carpenter, Bethanne [4 ]
Garg, Shivani [5 ]
Harleen, Sahni [6 ]
Neogi, Tuhina [2 ]
Nishio, Midori Jane [7 ]
Sagar, Manish [1 ]
Sharp, Veronika [8 ]
Kissin, Eugene Y. [2 ]
机构
[1] Boston Univ, Sch Med, Dept Med, Sect Infect Dis, Boston, MA 02118 USA
[2] Boston Univ, Sch Med, Dept Med, Sect Rheumatol, Boston, MA 02118 USA
[3] Univ Sch Med, Dept Internal Med, Boston, MA USA
[4] Santa Clara Valley Med Ctr, Dept Pharm, San Jose, CA 95128 USA
[5] Univ Wisconsin, Dept Med, Rheumatol Div, Madison, WI USA
[6] Santa Clara Valley Med Ctr, Dept Med, Div Infect Dis, San Jose, CA 95128 USA
[7] John Muir Specialty Grp, Dept Rheumatol, Walnut Creek, CA USA
[8] Santa Clara Valley Med Ctr, Dept Med, Div Rheumatol, San Jose, CA 95128 USA
关键词
COVID-19; interleukin; 6; inhibitors; cytokine release syndrome; INVERSE PROBABILITY WEIGHTS; MULTIPLE IMPUTATION; TOCILIZUMAB; CARE;
D O I
10.1093/infdis/jiaa717
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Background. The effectiveness of interleukin-6 inhibitors (IL-6i) in ameliorating coronavirus disease 2019 (COVID-19) remains uncertain. Methods. We analyzed data for patients aged >= 18 years admitted with a positive severe acute respiratory syndrome coronavirus 2 polymerase chain reaction test at 4 safety-net hospital systems with diverse populations and high rates of medical comorbidities in 3 US regions. We used inverse probability of treatment weighting via machine learning for confounding adjustment by demographics, comorbidities, and disease severity markers. We estimated the average treatment effect, the odds of IL-6i effect on in-hospital mortality from COVID-19, using a logistic marginal structural model. Results. Of 516 patients, 104 (20.1%) received IL-6i. Estimate of the average treatment effect adjusted for confounders suggested a 37% reduction in odds of in-hospital mortality in those who received IL-6i compared with those who did not, although the confidence interval included the null value of 1 (odds ratio = 0.63; 95% confidence interval,.29-1.38). A sensitivity analysis suggested that potential unmeasured confounding would require a minimum odds ratio of 2.55 to nullify our estimated IL-6i effect size. Conclusions. Despite low precision, our findings suggested a relatively large effect size of IL-6i in reducing the odds of COVID-19-related in-hospital mortality.
引用
收藏
页码:581 / 588
页数:8
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