Clinical characteristics of outpatients with influenza-B-associated pneumonia and molecular evolution of influenza B virus in Beijing, China, during the 2021–2022 influenza season

Author:

Wang Yanxin,Liu Yafen,Wang Yue,Mai Huan,Chen Yuanyuan,Zhang Yifan,Ji Ying,Cong Xu,Gao YanORCID

Abstract

AbstractWe analyzed the clinical characteristics of outpatients with influenza-B-associated pneumonia during the 2021–2022 influenza season and analyzed the molecular epidemiology and evolution of influenza B virus. The presence of influenza B virus was confirmed by reverse transcription polymerase chain reaction (RT-PCR). Electronic medical records were used to collect and analyze data of outpatients. The HA and NA genes were phylogenetically analyzed using ClustalW 2.10 and MEGA 11.0. Out of 1569 outpatients who tested positive for influenza B virus, 11.7% (184/1569) developed pneumonia, and of these, 19.0% (35/184) had underlying diseases. Fever, cough, and sore throat were the most common symptoms. Among the complications, acute respiratory distress syndrome (ARDS), acute kidney injury (AKI), and shock accounted for 2.7% (5/184), 4.9% (9/184), and 1.6% (3/184), respectively. Of the outpatients, 2.7% (5/184) were admitted to the hospital, and 0.5% (1/184) of them died. All of the strains from Beijing were identified as belonging to the B/Victoria lineage. The HA and NA gene sequences of 41 influenza B viruses showed high similarity to each other, and all of them belonged to clade 1A.3. Compared with the vaccine strain B/Washington/02/2019, all of the isolates contained N150K, G181E, and S194D mutations. S194D, E195K, and K200R mutations were detected in the 190 helix of the receptor binding region of HA. Co-mutations of H122Q, A127T, P144L, N150K, G181E, S194D, and K200R in HA and D53N, N59S, and G233E in NA were detected in 78.0% (32/41) of the isolates, and 56.3% (18/32) of these were from outpatients with influenza-B-associated pneumonia. Influenza outpatients with underlying diseases were more likely to develop pneumonia. No significant differences were observed in clinical symptoms or laboratory results between outpatients with and without pneumonia, so testing for influenza virus seems to be a good choice. The observed amino acid variations suggest that current vaccines might not provide effective protection.

Publisher

Springer Science and Business Media LLC

Subject

Virology,General Medicine

Reference43 articles.

1. Iuliano AD, Roguski KM, Chang HH, Muscatello DJ, Palekar R, Tempia S, Cohen C, Gran JM, Schanzer D, Cowling BJ, Wu P, Kyncl J, Ang LW, Park M, Redlberger-Fritz M, Yu H, Espenhain L, Krishnan A, Emukule G, van Asten L, Pereira DSS, Aungkulanon S, Buchholz U, Widdowson MA, Bresee JS (2018) Estimates of global seasonal influenza-associated respiratory mortality: a modelling study. Lancet 391:1285–1300. https://doi.org/10.1016/S0140-6736(17)33293-2

2. Li L, Liu Y, Wu P, Peng Z, Wang X, Chen T, Wong JYT, Yang J, Bond HS, Wang L, Lau YC, Zheng J, Feng S, Qin Y, Fang VJ, Jiang H, Lau EHY, Liu S, Qi J, Zhang J, Yang J, He Y, Zhou M, Cowling BJ, Feng L, Yu H (2019) Influenza-associated excess respiratory mortality in China, 2010-15: a population-based study. Lancet Public Health 4:e473–e481. https://doi.org/10.1016/S2468-2667(19)30163-X

3. Trucchi C, Alicino C, Orsi A, Paganino C, Barberis I, Grammatico F, Canepa P, Rappazzo E, Bruzzone B, Sticchi L, Ansaldi F (2017) Fifteen years of epidemiologic, virologic and syndromic influenza surveillance: A focus on type B virus and the effects of vaccine mismatch in Liguria region, Italy. Hum Vaccin Immunother 13:456–463. https://doi.org/10.1080/21645515.2017.1264779

4. Koutsakos M, Nguyen TH, Barclay WS, Kedzierska K (2016) Knowns and unknowns of influenza B viruses. Future Microbiol 11:119–135. https://doi.org/10.2217/fmb.15.120

5. Feng L, Shay DK, Jiang Y, Zhou H, Chen X, Zheng Y, Jiang L, Zhang Q, Lin H, Wang S, Ying Y, Xu Y, Wang N, Feng Z, Viboud C, Yang W, Yu H (2012) Influenza-associated mortality in temperate and subtropical Chinese cities, 2003–2008. Bull World Health Organ 90:279–288B. https://doi.org/10.2471/BLT.11.096958

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