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中国北京2017 - 2018年冬季流感季节流感样病例中B型流感病毒的检测与特征分析

Detection and characterization of type B influenza virus from influenza-like illness cases during the 2017-2018 winter influenza season in Beijing, China.

作者信息

Zhu Dong, Lok Chonghou, Chao Shuang, Chen Lingling, Li Runqing, Zhao Zhipeng, Dong Jingxiao, Qin Kun, Zhao Xiuying

机构信息

School of Clinical Medicine, Beijing Tsinghua Chang-gung Hospital, Tsinghua University, Beijing, People's Republic of China.

Key Laboratory for Medical Virology, National Institute for Viral Disease Control and Prevention, China CDC, National Health and Family Planning Commission, Beijing, People's Republic of China.

出版信息

Arch Virol. 2019 Apr;164(4):995-1003. doi: 10.1007/s00705-019-04160-w. Epub 2019 Feb 7.

DOI:10.1007/s00705-019-04160-w
PMID:30729995
Abstract

In the winter of 2017-2018, there was significant influenza activity in China, resulting in unprecedented usage of influenza rapid antigen tests (IRAT) and neuraminidase inhibitors (NAIs). The aim of this study was to characterize the most prevalent influenza virus type in a clinical setting with respect to diagnosis and concomitant NAI treatment. From Dec 2017 to Jan 2018, 3257 patients with influenza-like illness (ILI) were screened using IRAT. We summarized and compared the results with the last influenza season. Subtyping of influenza B viruses and identification of NAI drug resistance mutations were carried out by sequencing the HA and NA genes and aligning these with genetic isotypes. The performance of IRAT and RT-PCR was compared. Screening results indicated that influenza B virus was the leading cause of this influenza epidemic, with children being more susceptible to infection than adults. Phylogenetic analysis revealed that the prevailing influenza B virus belonged to the Yamagata lineage and were genetically similar to strains isolated from North America in the same influenza season. Cross-continental spread of influenza/B/Yamagata occurred. NAI resistance mutations were not identified in the 18 samples analyzed. The current antiviral protocol was still effective for influenza B control. RT-PCR positivity was significantly higher than that of IRAT (P = 0.004). IRAT and RT-PCR had a consistency rate of 86.9%, with the consistency rates of the positive and negative cases being 54.3% and 97.3%, respectively. Clinicians should be alert to the possibility of obtaining false negative results when using IRAT, and RT-PCR is recommended to improve the accuracy of pathogen detection.

摘要

2017 - 2018年冬季,中国流感活动显著,导致流感快速抗原检测(IRAT)和神经氨酸酶抑制剂(NAIs)的使用量空前。本研究的目的是在临床环境中,针对诊断和同时进行的NAI治疗,对最常见的流感病毒类型进行特征描述。2017年12月至2018年1月,使用IRAT对3257例流感样疾病(ILI)患者进行了筛查。我们总结并将结果与上个流感季节进行了比较。通过对HA和NA基因进行测序并与基因同型进行比对,对乙型流感病毒进行亚型分型并鉴定NAI耐药突变。比较了IRAT和RT - PCR的性能。筛查结果表明,乙型流感病毒是此次流感流行的主要原因,儿童比成人更容易感染。系统发育分析显示,流行的乙型流感病毒属于山形谱系,并且在基因上与同一流感季节从北美分离的毒株相似。出现了流感/ B /山形的跨大陆传播。在所分析的18个样本中未发现NAI耐药突变。当前的抗病毒方案对控制乙型流感仍然有效。RT - PCR阳性率显著高于IRAT(P = 0.004)。IRAT和RT - PCR的一致性率为86.9%,阳性和阴性病例的一致性率分别为54.3%和97.3%。临床医生在使用IRAT时应警惕获得假阴性结果的可能性,建议使用RT - PCR以提高病原体检测的准确性。

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