1161. Effectiveness of the Influenza Vaccine for Preventing Laboratory-Confirmed Influenza Infections in Outpatient Immunocompromised Adults, 2017-2018

Open Forum Infectious Diseases(2023)

引用 0|浏览8
暂无评分
摘要
Abstract Background While the number of immunocompromised (IC) individuals continues to rise, the existing literature on influenza vaccine effectiveness (VE) in IC populations is limited. IC individuals have a higher risk of severe influenza and influenza-related hospitalizations, and understanding the VE of the seasonal influenza vaccines in IC populations remains paramount. Methods Using 2017-2018 US Flu VE Network (US Flu VE) data, we examined the VE of the 2017-2018 seasonal influenza vaccine against symptomatic influenza in outpatient settings among IC adults. Patients were enrolled from outpatient sites in five states. IC status was determined by ICD-10 codes. We used logistic regression and adjusted for enrollment site, race, self-reported general health status, age, and onset date of symptoms. Separate models were used to calculate and compare the VE for non-IC and IC among outpatient adults >18 years. Results 5671 participants were included in the adult analytic dataset, and 455 (8%) were IC. The VE among non-IC was 31% (95% CI: 22, 39) and among IC participants was -4 % (95% CI: -66, 35). P-value for interaction by IC status was 0.100. Conclusion We observed lower VE against symptomatic influenza among non-hospitalized patients with immunocompromising conditions though the difference was not statistically significant. This study demonstrates the capacity to study a large IC population using an existing influenza VE network and contributes to the literature to support large, multicenter VE studies for IC populations. Disclosures Richard K. Zimmerman, MA; MD; MPH; MS, Sanofi Pasteur: Grant/Research Support MaryPatricia Nowalk, PhD, RDN, Merck & Co.: Grant/Research Support|Merck & Co.: Honoraria|Sanofi: Grant/Research Support Fernanda P. Silveira, MD, Ansun: Grant/Research Support|Eurofins Viracor: Advisor/Consultant|Janssen: Advisor/Consultant|Merck: Grant/Research Support|Regeneron: Grant/Research Support|Takeda: Advisor/Consultant Emily T. Martin, PhD, MPH, Merck: Grant/Research Support
更多
查看译文
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