Centre of Virology, Medical University Vienna, Vienna, Austria.
Department of Environmental Health, Medical University Vienna, Vienna, Austria.
Front Immunol. 2020 Mar 17;11:434. doi: 10.3389/fimmu.2020.00434. eCollection 2020.
The constantly changing pattern in the dominance of viral strains and their evolving subclades during the seasons substantially influences influenza vaccine effectiveness (IVE). In order to further substantiate the importance of detailed data of genetic virus characterization for IVE estimates during the seasons, we performed influenza virus type and subtype specific IVE estimates. IVE estimates were assessed using a test-negative case-control design, in the context of the intraseasonal changes of the heterogeneous mix of circulating influenza virus strains for three influenza seasons (2016/17 to 2018/19) in Austria. Adjusted overall IVE over the three seasons 2016/17, 2017/18, and 2018/19 were -26, 39, and 63%, respectively. In accordance with the changing pattern of the circulating strains a broad range of overall and subtype specific IVEs was obtained: A(H3N2) specific IVE ranged between -26% for season 2016/17 to 58% in season 2018/19, A(H1N1)pdm09 specific IVE was 25% for the season 2017/18 and 65% for the season 2018/19 and Influenza B specific IVE for season 2017/18 was 45%. The results obtained in our study over the three seasons demonstrate the increasingly complex dynamic of the ever changing genetic pattern of the circulating influenza viruses and their influence on IVE estimates. This emphasizes the importance of detailed genetic virus surveillance for reliable IVE estimates.
在季节期间,病毒株及其不断演变的亚系优势的不断变化模式极大地影响了流感疫苗的有效性(IVE)。为了进一步证实详细的遗传病毒特征数据对于季节期间 IVE 估计的重要性,我们进行了流感病毒类型和亚型特异性 IVE 估计。在奥地利的三个流感季节(2016/17 至 2018/19)中,我们在季节内循环流感病毒株的异质混合变化的背景下,使用病例对照测试阴性设计评估了 IVE 估计。调整后的三个季节 2016/17、2017/18 和 2018/19 的总体 IVE 分别为-26%、39%和 63%。与循环株的变化模式一致,获得了广泛的总体和亚型特异性 IVE:A(H3N2)特异性 IVE 范围为 2016/17 季节的-26%至 2018/19 季节的 58%,A(H1N1)pdm09 特异性 IVE 为 25% 2017/18 赛季和 65% 2018/19 赛季,2017/18 赛季流感 B 特异性 IVE 为 45%。我们在三个季节中获得的研究结果表明,循环流感病毒不断变化的遗传模式及其对 IVE 估计的影响越来越复杂。这强调了详细的遗传病毒监测对于可靠的 IVE 估计的重要性。