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Luo X, Han S, Wang Y, Du P, Li X, Thai PK. Significant differences in usage of antibiotics in three Chinese cities measured by wastewater-based epidemiology. WATER RESEARCH 2024; 254:121335. [PMID: 38417269 DOI: 10.1016/j.watres.2024.121335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 02/08/2024] [Accepted: 02/17/2024] [Indexed: 03/01/2024]
Abstract
Antibiotic use, particularly inappropriate use by irrational prescribing or over-the-counter purchases, is of great concern for China as it facilitates the spread of antibiotic resistances. In this study, we applied wastewater-based epidemiology (WBE) to monitor the total consumption of eight common antibiotics in three cities in northern, eastern and southern China. Wastewater samples were successively collected from 17 wastewater treatment plants including weekdays and weekends spanning four seasons between 2019 and 2021. The concentration of antibiotics and their corresponding metabolites showed a significant correlation, confirming the measured antibiotics were actually consumed. Different seasonal trends in antibiotic use were found among the cities. It was more prevalent in the winter in the northern city Beijing, with the high antibiotic consumption attributed to peak influenza occurrence in the city. This is clear evidence of irrational prescription of antibiotics since it's known that antibiotics do little to treat influenza. In terms of overall consumption, Foshan is significantly lower, thanks to warmer climate and higher use of herbal tea as a prevention measure. WBE estimates of antibiotic consumption were relatively comparable with other data sources, with azithromycin as the top antibiotic measured here. The studied cities had higher WBE estimated antibiotics consumption than results of previous studies in the literature. Monitoring antibiotic use in different areas and periods through WBE in combination with complementary information, can better inform appropriate antibiotic guideline policies in various regions and nations.
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Affiliation(s)
- Xiaozhe Luo
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, PR China
| | - Sheng Han
- Fujian Water Resource Investment and Development Group Co., Ltd., 350001, Fuzhou, China
| | - Yue Wang
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, PR China
| | - Peng Du
- Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, Beijing 100875, PR China.
| | - Xiqing Li
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, PR China
| | - Phong K Thai
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Brisbane, Queensland 4102, Australia
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Wei M, Li S, Lu X, Hu K, Li Z, Li M. Changing respiratory pathogens infection patterns after COVID-19 pandemic in Shanghai, China. J Med Virol 2024; 96:e29616. [PMID: 38634514 DOI: 10.1002/jmv.29616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 03/21/2024] [Accepted: 04/08/2024] [Indexed: 04/19/2024]
Abstract
To assess the positive rate of 11 respiratory pathogens in 2023, providing a comprehensive summary and analysis of the respiratory infection patterns after COVID-19 pandemic. The study comprised 7544 inpatients suspected of respiratory infections who underwent respiratory pathogen multiplex polymerase chain reaction tests from July 2022 to December 31, 2023. We analyzed the positive rate of 11 pathogens over 18 months and the characterization of infection patterns among different age groups and immune states. Among 7544 patients (age range 4 months to 104 years, 44.99% female), the incidence of infected by at least one of the 11 pathogens was 26.07%. Children (55.18%, p < 0.05) experienced a significantly higher infection probability than adults (20.88%) and old (20.66%). Influenza A virus (8.63%), Mycoplasma pneumoniae (5.47%), and human rhinovirus (5.12%) were the most common pathogens. In children, M. pneumoniae (35.96%) replaced the predominant role of human respiratory syncytial virus (HRSV) (5.91%) in the pathogen spectrum. Age, immunosuppressed state, and respiratory chronic conditions were associated with a significantly higher risk of mixed infection. Immunosuppressed patients were more vulnerable to human coronavirus (4.64% vs. 1.65%, p < 0.05), human parainfluenza virus (3.46% vs. 1.69%, p < 0.05), and HRSV (2.27% vs. 0.55%, p < 0.05). Patterns in respiratory infections changed following regional epidemic control measures and the COVID-19 pandemic.
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Affiliation(s)
- Muyun Wei
- Department of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuangshuang Li
- Department of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xinhua Lu
- Department of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kaiming Hu
- Department of Laboratory Medicine, Chaohu Hospital, Anhui Medical University, Hefei, China
| | - Zhilan Li
- Department of Laboratory Medicine, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Min Li
- Department of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Huang L, Xu Y, Yang Y, Dong H, Luo Q, Chen Z, Du H, Mei G, Wang X, Guan Y, Zhao C, Han J, Lu G. Molecular epidemiology and clinical characteristics of respiratory syncytial virus in hospitalized children during winter 2021-2022 in Bengbu, China. Front Public Health 2024; 11:1310293. [PMID: 38235154 PMCID: PMC10791987 DOI: 10.3389/fpubh.2023.1310293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 12/01/2023] [Indexed: 01/19/2024] Open
Abstract
Objective This study aimed to study the molecular epidemiology and clinical characteristics of respiratory syncytial virus (RSV) infection from hospitalized children with ARTI in Bengbu. Methods One hundred twenty-four nasopharyngeal swab specimens and clinical data from children with ARTI cases were collected in Bengbu, China, during winter 2021-2022. The samples were detected by qPCR of 13 respiratory viruses. Phylogenetic analysis was constructed using MEGA 7.0. All analyses were performed using SAS software, version 9.4. Results In winter 2021-2022, URTI, NSCAP, SCAP, and bronchiolitis accounted for 41.03%, 27.35%, 17.09%, and 14.53% of hospitalized children in Bengbu, China. The detection rates of the top three were RSV (41.94%), ADV (5.65%), and FluB (5.65%) in hospitalized children through 13 virus detection. RSV is the main pathogen of hospitalized children under 2 years old. Forty-eight sequences of G protein of RSV were obtained through PCR amplification, including RSV-A 37 strains and RSV-B 11 strains. Phylogenetic analysis showed that all RSV-A and RSV-B were ON1 and BA9 genotypes, respectively. ON1 genotypes were further divided into two clades. The majority of ON1 strains formed a unique genetic clade with T113I, V131D, N178 G, and H258Q mutations. Furthermore, RSV infection was an independent risk factor for ventilator use (OR = 9.55, 95% CI 1.87-48.64). Conclusion There was a high incidence of RSV among hospitalized children during winter 2021-2022 in Bengbu with ON1 and BA9 being the dominant strains. This study demonstrated the molecular epidemiological characteristics of RSV in children with respiratory infections in Bengbu, China.
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Affiliation(s)
- Limin Huang
- The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, China
- Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Yuanyou Xu
- The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, China
| | - Yanqing Yang
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hongming Dong
- School of Basic Medicine, North China University of Science and Technology, Tangshan, China
| | - Qin Luo
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhen Chen
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Haijun Du
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Guoyong Mei
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xinyue Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- College of Life Science and Agriculture and Forestry, Qiqihar University, Qiqihar, China
| | - Yake Guan
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chihong Zhao
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jun Han
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Guoyu Lu
- The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, China
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Cao R, Du Y, Tong J, Xia D, Song Q, Xia Z, Liu M, Du H, Han J, Gao C. Influence of COVID-19 pandemic on the virus spectrum in children with respiratory infection in Xuzhou, China: a long-term active surveillance study from 2015 to 2021. BMC Infect Dis 2023; 23:467. [PMID: 37442963 DOI: 10.1186/s12879-023-08247-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 04/12/2023] [Indexed: 07/15/2023] Open
Abstract
BACKGROUND To investigate the impact of the coronavirus disease 2019 (COVID-19) outbreak on the prevalence of respiratory viruses among pediatric patients with acute respiratory infections in Xuzhou from 2015-2021. METHODS Severe acute respiratory infection (SARI) cases in hospitalized children were collected from 2015-2021 in Xuzhou, China. Influenza virus(IFV), respiratory syncytial virus (RSV), human parainfluenza virus type 3(hPIV-3), human rhinovirus (hRV), human adenovirus(hAdV), human coronavirus(hCoV) were detected by real-time fluorescence polymerase chain reaction(RT-qPCR), and the results were statistically analyzed by SPSS 23.0 software. RESULTS A total of 1663 samples with SARI were collected from 2015-2021, with a male-to-female ratio of 1.67:1 and a total virus detection rate of 38.5% (641/1663). The total detection rate of respiratory viruses decreased from 46.2% (2015-2019) to 36% (2020-2021) under the control measures for COVID-19 (P < 0.01). The three viruses with the highest detection rates changed from hRV, RSV, and hPIV-3 to hRV, RSV, and hCoV. The epidemic trend of hPIV-3 and hAdV was upside down before and after control measures(P < 0.01); however, the epidemic trend of RV and RSV had not changed from 2015 to 2021(P > 0.05). After the control measures, the detection rate of hPIV-3 decreased in all age groups, and the detection rate of hCoV increased in all except the 1 ~ 3 years old group. CONCLUSIONS Implementing control measures for COVID-19 outbreak curbed the spread of respiratory viruses among children as a whole. However, the epidemic of RV and RSV was not affected by the COVID-19 control policy.
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Affiliation(s)
- Rundong Cao
- Center for Viral Resource, Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing, 102206, China
| | - Yangguang Du
- Xuzhou Center for Disease Control and Prevention, Xuzhou, 221002, China
| | - Jing Tong
- Xuzhou Center for Disease Control and Prevention, Xuzhou, 221002, China
| | - Dong Xia
- Center for Viral Resource, Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing, 102206, China
| | - Qinqin Song
- Center for Viral Resource, Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing, 102206, China
| | - Zhiqiang Xia
- Center for Viral Resource, Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing, 102206, China
| | - Mi Liu
- Center for Viral Resource, Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing, 102206, China
| | - Haijun Du
- Center for Viral Resource, Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing, 102206, China
| | - Jun Han
- Center for Viral Resource, Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing, 102206, China.
| | - Chen Gao
- Center for Viral Resource, Chinese Center for Disease Control and Prevention, National Institute for Viral Disease Control and Prevention, Beijing, 102206, China.
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Shen L, Yan H, Li W, Tian Y, Lin C, Liu B, Wang Y, Jia L, Zhang D, Yang P, Wang Q, Gao Z. Occurrence of respiratory viruses among outpatients with diarrhea in Beijing, China, 2019-2020. Front Microbiol 2023; 13:1073980. [PMID: 36713165 PMCID: PMC9878210 DOI: 10.3389/fmicb.2022.1073980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 12/28/2022] [Indexed: 01/14/2023] Open
Abstract
Objectives To investigate respiratory virus infections in diarrhea cases and identify the risk of respiratory virus transmission through feces. Methods Fecal specimens were collected from diarrhea cases in enteric disease clinics in Beijing, China, from 2019 to 2020. Cases that tested negative for norovirus, rotavirus, sapovirus, astrovirus, and enteric adenovirus were included in the study. Real-time RT-PCR was used to detect 16 groups of respiratory viruses, and the major viruses were genotyped. Viruses isolation and digestion of clinical specimens and nucleic acid by artificial gastric acid or artificial bile/pancreatic juice were used to evaluate the risk of respiratory virus transmission through feces. Results A total of 558 specimens were collected and 47 (8.42%) specimens were detected positive, 40 (13.33%, 40/300) in 2019, and 7 (2.71%, 7/258) in 2020, including 20 (3.58%) for human rhinovirus (HRV), 13 (2.32%) for Bocavirus (BoV), 6 (1.08%) for parainfluenza virus I (PIV), 4 (0.72%) for coronavirus (CoV) OC43, 3 (0.54%) for respiratory syncytial virus (RSV) A, and 1 (0.18%) for both BoV and CoV OC43. Syndrome coronavirus 2 (SARS-CoV-2) and other viruses were not detected in this study. Eight genotypes were identified in the 13 HRV specimens. BoVs 1 and 2 were identified in nine BoV specimens. HRV infectious virions were successfully isolated from 2 clinical specimens and clinical specimens of HRV, RSV, PIV, and CoV could not be detected after 4 h of digestion and their nucleic acid could not be detected after 2 h of digestion by artificial gastric acid or artificial bile/pancreatic juice. Conclusion There may be a risk of respiratory virus transmission from diarrhea cases, and interventions against SARS-COV-2 epidemics are also effective for other respiratory viruses.
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Affiliation(s)
- Lingyu Shen
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China,Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hanqiu Yan
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Weihong Li
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Yi Tian
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Changying Lin
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Baiwei Liu
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Yu Wang
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Lei Jia
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Daitao Zhang
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Peng Yang
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Quanyi Wang
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China,*Correspondence: Quanyi Wang,
| | - Zhiyong Gao
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Center for Disease Prevention and Control, Beijing, China,Zhiyong Gao,
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Wang X, Li M, Luo M, Luo Q, Kang L, Xie H, Wang Y, Yu X, Li A, Dong M, Huang F, Gong C. Mycoplasma pneumoniae triggers pneumonia epidemic in autumn and winter in Beijing: a multicentre, population-based epidemiological study between 2015 and 2020. Emerg Microbes Infect 2022; 11:1508-1517. [PMID: 35582916 PMCID: PMC9176688 DOI: 10.1080/22221751.2022.2078228] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
The objective of this paper is to explore the characteristics of Mycoplasma pneumoniae (MP) epidemics in Beijing, China. Patients with acute respiratory tract infection (ARTI) were enrolled from 35 sentinel hospitals in Beijing, 2015–2020. Their medical records were reviewed and respiratory specimens were collected for assay for nucleic acids of 24 respiratory pathogens, including MP. The genotypes of MP were analysed using a real-time PCR method. The domain V of 23s rRNA gene was sequenced to identify macrolide-resistant mutations. A total of 41,677 specimens of ARTI patients were included, with an MP positive rate of 6.16%. MP prevalence mainly occurred between August and January, and peaked in October. The increase in the MP detection rate was coincident with the elevation of the reported number of patients with pneumonia in the 35 sentinel hospitals. One or more respiratory pathogens were co-detected in 27.1% of the MP-positive patients. Type 1 MP remained predominant, and the macrolide-resistant rate of MP had exceeded over 90%. A2063G mutation accounted for 99.0% of macrolide-resistant MP infections. MP epidemic in Beijing mainly occurred between August and January with a remarkable high macrolide-resistant rate. MP is one of the important contributors to the pneumonia epidemic in autumn and winter in Beijing.
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Affiliation(s)
- Xue Wang
- Beijing Center for Disease Prevention and Control, Institute for Immunization and Prevention, Beijing, People's Republic of China
| | - Maozhong Li
- Beijing Center for Disease Prevention and Control, Institute for Immunization and Prevention, Beijing, People's Republic of China
| | - Ming Luo
- Beijing Center for Disease Prevention and Control, Institute for Immunization and Prevention, Beijing, People's Republic of China
| | - Qin Luo
- College of Public Health, Capital Medical University, Beijing, People's Republic of China
| | - Lu Kang
- Beijing Center for Disease Prevention and Control, Institute for Immunization and Prevention, Beijing, People's Republic of China
| | - Hui Xie
- Beijing Center for Disease Prevention and Control, Institute for Immunization and Prevention, Beijing, People's Republic of China
| | - Yiting Wang
- Beijing Center for Disease Prevention and Control, Institute for Immunization and Prevention, Beijing, People's Republic of China
| | - Xiali Yu
- Beijing Center for Disease Prevention and Control, Institute for Immunization and Prevention, Beijing, People's Republic of China
| | - Aihua Li
- Beijing Center for Disease Prevention and Control, Institute for Immunization and Prevention, Beijing, People's Republic of China
| | - Mei Dong
- Beijing Center for Disease Prevention and Control, Institute for Immunization and Prevention, Beijing, People's Republic of China
| | - Fang Huang
- Beijing Center for Disease Prevention and Control, Institute for Immunization and Prevention, Beijing, People's Republic of China
| | - Cheng Gong
- Beijing Center for Disease Prevention and Control, Institute for Immunization and Prevention, Beijing, People's Republic of China
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Luo M, Gong C, Zhang Y, Wang X, Liu Y, Luo Q, Li M, Li A, Wang Y, Dong M, Xu W, Huang F. Comparison of infections with respiratory syncytial virus between children and adults: a multicenter surveillance from 2015 to 2019 in Beijing, China. Eur J Clin Microbiol Infect Dis 2022; 41:1387-1397. [PMID: 36197575 PMCID: PMC9533982 DOI: 10.1007/s10096-022-04492-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 09/05/2022] [Indexed: 11/28/2022]
Abstract
The objective of this study is to investigate the epidemiological and clinical characteristics of the acute respiratory tract infections (ARTI) caused by respiratory syncytial virus (RSV) among the population of all age categories in Beijing, China. Outpatients and inpatients with ARTI were enrolled from 35 sentinel hospitals in Beijing between March 2015 and February 2019. They were interviewed and their medical records were collected using a standardized form. Their respiratory specimens were collected and tested for the nucleic acid of RSV. The RSV-positive specimens were further genotyped into RSV-A and RSV-B groups. A total of 29,923 cases were included in this study. RSV was detected in 623 (2%, 623/29923) patients, with 391 (62.8%) genotypd as RSV-A, 126 (20.2%) as RSV-B, and 106 (17.0%) untyped. The RSV epidemic season usually occurred between October and March covering approximately 90% of annual RSV infections. The RSV-infected children aged < 5 years accounted for 52.2% of the total RSV infections with cough and fever as the most common manifestations. The RSV-infected elderly adults aged ≥ 60 years have the second largest proportion (25.2%) with dyspnea and lymphocytopenia as the most common manifestations and showed an elevated rate of hospitalization, an increased rate of ICU admission, an extended length of hospital stay, and an elevated mortality compared to the RSV-infected children. The RSV infections aged ≥ 60 years old, as the second largest population of the total annual RSV infections, usually developed worse outcomes than children and should be taken seriously.
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Affiliation(s)
- Ming Luo
- Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control & Beijing Research Center for Preventive Medicine, 16th Hepingli Middle Road, Dongcheng District, Beijing, 100013, China
| | - Cheng Gong
- Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control & Beijing Research Center for Preventive Medicine, 16th Hepingli Middle Road, Dongcheng District, Beijing, 100013, China
| | - Yan Zhang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155th Changbai Road, Changping District, Beijing, 102206, China
| | - Xue Wang
- Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control & Beijing Research Center for Preventive Medicine, 16th Hepingli Middle Road, Dongcheng District, Beijing, 100013, China
| | - Yang Liu
- Tongzhou Center for Disease Prevention and Control, 1st Luhe Middle School North Road, Tongzhou District, Beijing, 101100, China
| | - Qing Luo
- Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control & Beijing Research Center for Preventive Medicine, 16th Hepingli Middle Road, Dongcheng District, Beijing, 100013, China.,College of Public Health, Capital Medical University, No.10 West, You'anmen Avenue, Fengtai District, Beijing, 100069, China
| | - Maozhong Li
- Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control & Beijing Research Center for Preventive Medicine, 16th Hepingli Middle Road, Dongcheng District, Beijing, 100013, China
| | - Aihua Li
- Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control & Beijing Research Center for Preventive Medicine, 16th Hepingli Middle Road, Dongcheng District, Beijing, 100013, China
| | - Yiting Wang
- Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control & Beijing Research Center for Preventive Medicine, 16th Hepingli Middle Road, Dongcheng District, Beijing, 100013, China
| | - Mei Dong
- Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control & Beijing Research Center for Preventive Medicine, 16th Hepingli Middle Road, Dongcheng District, Beijing, 100013, China
| | - Wenbo Xu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155th Changbai Road, Changping District, Beijing, 102206, China.
| | - Fang Huang
- Institute for Immunization and Prevention, Beijing Center for Disease Prevention and Control & Beijing Research Center for Preventive Medicine, 16th Hepingli Middle Road, Dongcheng District, Beijing, 100013, China.
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Chen H, Huang Z, Chang S, Hu M, Lu Q, Zhang Y, Wang H, Xiao Y, Wang H, Ge Y, Zou Y, Cui F, Han S, Zhang M, Wang S, Zhu X, Zhang B, Li Z, Ren J, Chen X, Ma R, Zhang L, Guo X, Luo L, Sun X, Yang X. Immunogenicity and safety of an inactivated SARS-CoV-2 vaccine (Sinopharm BBIBP-CorV) coadministered with quadrivalent split-virion inactivated influenza vaccine and 23-valent pneumococcal polysaccharide vaccine in China: A multicentre, non-inferiority, open-label, randomised, controlled, phase 4 trial. Vaccine 2022; 40:5322-5332. [PMID: 35931636 PMCID: PMC9334936 DOI: 10.1016/j.vaccine.2022.07.033] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 07/07/2022] [Accepted: 07/21/2022] [Indexed: 11/17/2022]
Abstract
Background The safety and immunogenicity of the coadministration of an inactivated SARS-CoV-2 vaccine (Sinopharm BBIBP-CorV), quadrivalent split-virion inactivated influenza vaccine (IIV4), and 23-valent pneumococcal polysaccharide vaccine (PPV23) in adults in China is unknown. Methods In this open-label, non-inferiority, randomised controlled trial, participants aged ≥ 18 years were recruited from the community. Individuals were eligible if they had no history of SARS-CoV-2 vaccine or any pneumonia vaccine and had not received an influenza vaccine during the 2020–21 influenza season. Eligible participants were randomly assigned (1:1:1), using block randomization stratified, to either: SARS-CoV-2 vaccine and IIV4 followed by SARS-CoV-2 vaccine and PPV23 (SARS-CoV-2 + IIV4/PPV23 group); two doses of SARS-CoV-2 vaccine (SARS-CoV-2 vaccine group); or IIV4 followed by PPV23 (IIV4/PPV23 group). Vaccines were administered 28 days apart, with blood samples taken on day 0 and day 28 before vaccination, and on day 56. Results Between March 10 and March 15, 2021, 1152 participants were recruited and randomly assigned to three groups (384 per group). 1132 participants were included in the per-protocol population (375 in the SARS-CoV-2 + IIV4/PPV23 group, 380 in the SARS-CoV-2 vaccine group, and 377 in the IIV4/PPV23 group). The seroconversion rate (100 % vs 100 %) and GMT (159.13 vs 173.20; GMT ratio of 0.92 [95 % CI 0.83 to 1.02]) of SARS-CoV-2 neutralising antibodies in the SARS-CoV-2 + IIV4/PPV23 group was not inferior to those in the SARS-CoV-2 vaccine group. The SARS-CoV-2 + IIV4/PPV23 group was not inferior to the IIV4/PPV23 group in terms of seroconversion rates and GMT of influenza virus antibodies for all strains except for the seroconversion rate for the B/Yamagata strain. The SARS-CoV-2 + IIV4/PPV23 group was not inferior to the IIV4/PPV23 group regarding seroconversion rates and GMC of Streptococcus pneumoniae IgG antibodies specific to all serotypes. All vaccines were well tolerated. Conclusions The coadministration of the inactivated SARS-CoV-2 vaccine and IIV4/PPV23 is safe with satisfactory immunogenicity. This study is registered with ClinicalTrials.gov, NCT04790851.
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