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Hamilton EM, Rassam W, Yan Y, Singh A, Ng SYA, Zhang J, Lv J, Islam N, Malouf R, Yang L, Millwood IY, Chen Z. Correlates of chronic hepatitis B virus infection in the general adult population of China: Systematic review and meta-analysis. J Viral Hepat 2023; 30:470-488. [PMID: 36751939 DOI: 10.1111/jvh.13816] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 12/19/2022] [Accepted: 01/13/2023] [Indexed: 02/09/2023]
Abstract
Chronic infection with hepatitis B virus (HBV) is a significant public health issue in China. Understanding factors associated with chronic HBV is important to enable targeted screening and education and to improve early diagnosis and prevention of disease progression. This systematic review and meta-analysis aimed to identify and describe correlates of chronic HBV among Chinese adults. Searches were conducted in MEDLINE, EMBASE and grey literature up to 25 June 2020. Eligible papers included observational studies in adults of the general population in China that reported factors associated with chronic HBV, measured by Hepatitis B surface antigen (HBsAg). Meta-analysis was performed using fixed-effect models of HBsAg prevalence among factors, and of adjusted odds ratios (ORs) for chronic HBV associated with each factor. Overall 39 articles were included, covering 22 factors, including a range of sociodemographic, behavioural and medical factors. In meta-analysis of eligible studies, a range of factors were significantly associated with higher HBsAg prevalence, including middle age, male sex, being married, rural residence, lower education, smoking, having a HBsAg positive household contact, family history of HBV, history of surgery or blood transfusion. The adjusted ORs varied, from 1.11 (95% CI 1.05-1.18) for smoking to 5.13 (95% CI 4.99-5.26) for having a HBsAg positive household contact. In Chinese adults, a range of factors are associated with chronic HBV infection, which may help inform targeted screening in the general population.
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Affiliation(s)
- Elizabeth Mova Hamilton
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Wadie Rassam
- Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia
| | - Yan Yan
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Avjit Singh
- Department of Surgery, Townsville University Hospital, Townsville, Queensland, Australia
| | - Sarah Yoon Ai Ng
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jiabi Zhang
- Department of Nutrition and Integrative Physiology, College of Health, University of Utah, Salt Lake City, Utah, USA
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Nazrul Islam
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- School of Primary Care, Population Sciences and Medical Education, University of Southampton, Southampton, UK
| | - Reem Malouf
- National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Ling Yang
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Iona Y Millwood
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
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Xu X, Wu C, Jiang L, Peng C, Pan L, Zhang X, Shen W, Chen L, Lou Z, Xu K, Li L, Dong Y, Ruan B. Cost-Effectiveness of Hepatitis B Mass Screening and Management in High-Prevalent Rural China: A Model Study From 2020 to 2049. Int J Health Policy Manag 2022; 11:2115-2123. [PMID: 34664496 PMCID: PMC9808295 DOI: 10.34172/ijhpm.2021.126] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 09/04/2021] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Chronic hepatitis B (CHB) is highly prevalent among adults in rural China and better management of those populations is of vital importance for viral hepatitis elimination. Adult immunization has been the subject of much controversy in previous studies. This study estimates the cost-effectiveness of population-based hepatitis B screening, treatment, and immunization strategy (comprehensive strategy) in rural areas with high prevalence under the national policy of sharp-drop drug prices. METHODS We constructed a Markov model comparing 4 strategies in a 30-year horizon from the healthcare payer perspective: (1) the conventional pattern; (2) screening and treating infected (treatment); (3) screening and immunizing susceptible individuals (immunization); and (4) the comprehensive strategy. Screening intensity ranged from 50% to 100%. Outcomes were measured by costs, quality-adjusted life-years (QALYs), incremental cost-effectiveness ratios (ICERs), and clinical outcomes. RESULTS The costs for the conventional pattern, treatment strategy, immunization strategy, and comprehensive strategy were US$ 341, 351, 318, and 323, respectively. In addition, effects were 17.45, 17.57, 17.46, and 17.58 QALYs, respectively. The ICER of the comprehensive strategy was US$ 35/QALY gained at 50% screening intensity and 420 US$/QALY gained at 100%. The net monetary benefit increased with increasing screening intensity and declined after 90%, with the highest value of US$40 693. All new infections and 52.5% mortality could be avoided from 2020 to 2049 if all patients were properly treated and all susceptible individuals were immunized. The results were stable within a wide range of parameters. CONCLUSION It was cost-effective to implement the mass hepatitis B screening, treatment, and immunization strategy in areas of rural China with high prevalence, and the strategy gained the most net monetary benefit at a screening intensity of 90%. Although it was impractical to fulfill 100% coverage, efforts should be made to obtain more people screened.
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Affiliation(s)
- Xiaolan Xu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Chensi Wu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Lushun Jiang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Chunting Peng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Liya Pan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Xue Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Wei Shen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Lin Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Zhuoqi Lou
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Kaijin Xu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Lanjuan Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Yin Dong
- People’s Hospital Medical Community of Yuhuan County, Taizhou, China
| | - Bing Ruan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
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Incidence trend and disease burden of seven vaccine-preventable diseases in Shandong province, China, 2013-2017: Findings from a population-based observational study. Vaccine X 2022; 10:100145. [PMID: 35243321 PMCID: PMC8867126 DOI: 10.1016/j.jvacx.2022.100145] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 12/19/2021] [Accepted: 01/25/2022] [Indexed: 11/24/2022] Open
Abstract
Introduction Although vaccines provide a cost-effective solution to vaccine-preventable diseases (VPDs), the disease burden of VPDs is still very high in most parts of the world. Methods A population-based observational study was conducted in Shandong province, China, from 2013 to 2017, giving an insight into the epidemiological characteristics and disease burden of seven VPDs. The incidence trend was estimated using the Poisson regression model. The disease burden was calculated using the disability-adjusted life years (DALYs). Results Most VPDs included in the China’s National Immunization Program had higher incidence density (ID) in inland cities. The ID of mumps decreased significantly, while herpes zoster increased (both P < 0.05). The top three causes of the disease burden as assessed with DALYs included tuberculosis, herpes zoster, and hepatitis B, with the rates of 72.21, 59.99, and 52.10 DALYs/100 000, respectively. The disease burden of influenza and herpes zoster were relatively high in people aged > 50 years, while highest DALYs of hepatitis B were found in young adults. Conclusion Inequalities in the vaccine coverage by geography, socio-economic status, and targeted population contribute to the increasing incidence and high burden of VPDs and call for renewed and sustained immunization strategies in China.
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Li B, Li Y, Li S, Li H, Liu L, Xu Y. Inhibition of Protease Activated Receptor 2 Attenuates HBx-Induced Inflammation and Mitochondria Oxidative Stress. Infect Drug Resist 2022; 15:961-973. [PMID: 35299854 PMCID: PMC8921841 DOI: 10.2147/idr.s343864] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 02/19/2022] [Indexed: 01/28/2024] Open
Abstract
BACKGROUND Hepatitis B virus (HBV) infection is one of the global public problems. Among the known infection cases, HBV X protein (HBx) is one of the key inducements of viral replication and host infection. This study was aimed to uncover the role of protease activated receptor 2 (PAR2) on HBx-induced liver injury. METHODS A PAR2-KO mouse model expressing HBx was constructed using hydrodynamics-based in vivo gene transfection method. In addition, pcDNA3.1-HBx was used to over-express HBx in LO2 cells. The effects of HBx overexpression on inflammation and mitochondria oxidative stress were evaluated. RESULTS We found that PAR2 protein level was increased by HBx overexpression. The enforced HBx inhibited LO2 cells apoptosis. Meanwhile, HBx induced inflammation reactions through promoting the secretion of pro-inflammatory cytokines such as TNF-α, IL-6, and CXCL-2. Overexpressed HBx also resulted in mitochondria oxidative stress by upregulation of ROS level and downregulation of MMP and ATP. However, in FSLLRY-NH2 (PAR2 antagonist) treated LO2 cells or PAR2-KO mice, PAR2 blockade reversed the above adverse effects of HBx on liver cells or tissues. CONCLUSION Inhibition of PAR2 may suppress inflammation and mitochondria oxidative stress caused by HBx, pointing out the potential application values of PAR2 antagonist on the treatment of HBV infection in clinic.
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Affiliation(s)
- Bin Li
- Laboratory of Immunology and Pathogenic Biology, Experimental Teaching Center of Basic Medicine, Jinzhou Medical University, Jinzhou City, Liaoning Province, 121001, People’s Republic of China
| | - Yonggang Li
- Department of Pathogenic Biology, School of Basic Medicine, Jinzhou Medical University, Jinzhou City, Liaoning Province, 121001, People’s Republic of China
| | - Shuhua Li
- Laboratory of Immunology and Pathogenic Biology, Experimental Teaching Center of Basic Medicine, Jinzhou Medical University, Jinzhou City, Liaoning Province, 121001, People’s Republic of China
| | - Hongwei Li
- Laboratory of Immunology and Pathogenic Biology, Experimental Teaching Center of Basic Medicine, Jinzhou Medical University, Jinzhou City, Liaoning Province, 121001, People’s Republic of China
| | - Ling Liu
- Laboratory of Immunology and Pathogenic Biology, Experimental Teaching Center of Basic Medicine, Jinzhou Medical University, Jinzhou City, Liaoning Province, 121001, People’s Republic of China
| | - Yao Xu
- School of Pharmacy, Jinzhou Medical University, Jinzhou City, Liaoning Province, 121001, People’s Republic of China
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Ruan B, Yu Z, Yang S, Xu K, Ren J, Yao J, Wu N, Yu C, Deng M, Xie T, Chen P, Wang C, Li Y, Zhao Y, Sheng J, Hou Y, Wu Z, Jin S, Chen Y, Li M, Zhu F, Tang H, Hao Y, Pang X, Lu L, Yang W, Yuan Z, Xu A, Li Z, Ni M, Yan Y, Zhong Q, Zhou L, Li G, Meng Q, Hu J, Zhou H, Zhang G, Li D, Jiang W, Li Q, Wu P, Xing R, Gu J, Gao D, Li L. Establishment and development of national community-based collaborative innovation demonstration areas to achieve the control target of hepatitis B in China. BMC Infect Dis 2019; 19:617. [PMID: 31299910 PMCID: PMC6626343 DOI: 10.1186/s12879-019-4150-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2017] [Accepted: 05/31/2019] [Indexed: 01/25/2023] Open
Abstract
Background The major infectious diseases of hepatitis B has constituted an acute public health challenge in China. An effective and affordable HBV control model is urgently needed. A national project of Community-based Collaborative Innovation HBV (CCI-HBV) demonstration areas has optimized the existing community healthcare resources and obtained initial results in HBV control. Methods Based on the existing community healthcare network, CCI-HBV project combined the community health management and health contract signing service for long-staying residents in hepatitis B screening. Moreover, HBV field research strategy was popularized in CCI-HBV areas. After screening, patients with seropositive results were enrolled in corresponding cohorts and received treatment at an early stage. And the uninfected people received medical supports including health education through new media, behavior intervention and HBV vaccinations. In this process, a cloud-based National Information Platform (NIP) was established to collect and store residents’ epidemiological data. In addition, a special quality control team was set up for CCI project. Results After two rounds of screening, HBsAg positive rate dropped from 5.05% (with 5,173,003 people screened) to 4.57% (with 3,819,675 people screened), while the rate of new HBV infections was 0.28 per 100 person-years in the fixed cohorts of 2,584,322 people. The quality control team completed PPS sampling simultaneously and established the serum sample database with 2,800,000 serum samples for unified testing. Conclusions CCI-HBV project has established a large-scale field research to conduct whole-population screening and intervention. We analyzed the HBsAg prevalence and new infection rate of HBV in the fixed population for the epidemic trend and intervention effect. The purpose of CCI-HBV project is to establish and evaluate a practical model of grid management and field strategy, to realize the new goal to control hepatitis B in China. To provide policymakers with a feasible model, our results are directly applicable. Trial registration The project was funded by the Major Projects of Science Research for the 11th and 12th five-year plans of China, entitled “The prevention and control of AIDS, viral hepatitis and other major infectious diseases”, Grant Nos. 2009ZX10004901, 2011ZX10004901, 2013ZX10004904, 2014ZX10004007 and 2014ZX10004008.
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Affiliation(s)
- Bing Ruan
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Zhixin Yu
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Shigui Yang
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Kaijin Xu
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Jingjing Ren
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Jun Yao
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Nanping Wu
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Chengbo Yu
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Min Deng
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Tiansheng Xie
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Ping Chen
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Chencheng Wang
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Yiping Li
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Yanhong Zhao
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Jifang Sheng
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China
| | - Yunde Hou
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zunyou Wu
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shuigao Jin
- Chinese Center for Disease Control and Prevention, Beijing, China
| | | | | | - Fengcai Zhu
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | | | | | - Xinghuo Pang
- Beijing Center for Disease Control and Prevention, Beijing, China
| | - Lin Lu
- Yunnan Provincial Center for Disease Control and Prevention, Kunming, China
| | - Wen Yang
- Sichuan Provincial Center for Disease Control and Prevention, Chengdu, China
| | - Zhengan Yuan
- Shanghai Center for Disease Control and Prevention, Shanghai, China
| | - Aiqiang Xu
- Shandong Provincial Center for Disease Control and Prevention, Jinan, China
| | - Zizhao Li
- Henan Provincial Center for Disease Control and Prevention, Zhengzhou, China
| | - Mingjian Ni
- Xinjiang Provincial Center for Disease Control and Prevention, Urumchi, China
| | - Yongping Yan
- The Forth Military Medical University, Xian, China
| | - Qiu Zhong
- The Center of Tuberculosis control of Guangdong Province, Guangzhou, China
| | - Lin Zhou
- The Center of Tuberculosis control of Guangdong Province, Guangzhou, China
| | - Guojian Li
- Guangxi Provincial Center for Disease Control and Prevention, Nanning, China
| | - Qun Meng
- National Statistical Information Center of China, Beijing, China
| | - Jianping Hu
- National Statistical Information Center of China, Beijing, China
| | - Hong Zhou
- National Statistical Information Center of China, Beijing, China
| | | | - Dexin Li
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wei Jiang
- The Digital Medical and Health Technology Research Institute of Zhejiang Province, Hangzhou, China
| | - Qing Li
- National Health and Family Planning Commission of China, Beijing, China
| | - Peixin Wu
- National Health and Family Planning Commission of China, Beijing, China
| | - Ruoqi Xing
- National Health and Family Planning Commission of China, Beijing, China
| | - Jinhui Gu
- National Health and Family Planning Commission of China, Beijing, China
| | - Di Gao
- National Health and Family Planning Commission of China, Beijing, China
| | - Lanjuan Li
- The State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou, China.
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Zheng H, Zhang G, Wang F, Yin Z, Miao N, Sun X, Liang X, Cui F. Self-motivated medical care-seeking behaviors and disease progression in a community-based cohort of chronic hepatitis B virus-infected patients in China. BMC Public Health 2019; 19:901. [PMID: 31286924 PMCID: PMC6615194 DOI: 10.1186/s12889-019-7061-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Accepted: 05/29/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND To determine the treatment behaviors among a community-based cohort of chronic hepatitis B virus (HBV)-infected persons and to examine the disease progression among non-antiviral-treated HBV-infected cases after 5 years of follow-up. METHODS We conducted a community-based prospective study on people with chronic HBV infection in mainland China from 2009 to 2014. In 2009, we recruited participants who were identified as HBV infected in 2006 in a national sero-survey. A face-to-face follow-up investigation was completed in 2014, and the personal information, the clinical diagnosis provided at the last hospital visit, the HBV antiviral treatment history, and the insurance type was collected for each patient for analysis. Multivariable logistic regression was used to identify factors that are associated with active medical care- seeking and antiviral treatments. RESULTS Among the 2422 chronic HBV-infected patients recruited in 2009, 1784 (73.7%) were followed-up to 2014, and 638 (35.8%) had sought medical care in hospitals; among them, 140 (21.9%) received antiviral treatments. The lowest medical care-seeking rate (26%) was in participants over 50-year old. We determined that the frequency of medical care-seeking was higher among those participants living in urban areas (aRR = 1.3, 95% CI:1.0-1.6), those in 0-19-year old (aRR = 1.5, 95% CI:1.1-2.1), 20-39-year old (aRR = 2.2, 95% CI:1.7-3.0) and 40-49-year old (aRR = 1.5, 95% CI:1.1-2.0), and persons with insurance of the type Urban residents' basic medical insurance (URBMI) or Commercial health insurance (CHI) (aRR = 2.5, 95% CI:1.7-3.6) and New Rural Cooperative Medical System (NRCMS) (aRR = 1.9, 95% CI:1.4-2.6). Patients were more likely to receive antiviral treatment if they were 20-39-year old (aRR = 0.4, 95% CI:0.3-0.7), had insurance of the type URBMI or CHI (aRR = 2.6, 95% CI:1.1-6.3) or NRCMS (aRR = 3.0, 95% CI:1.3-6.9) and were treated at prefecture and above-level hospitals (aRR = 2.0, 95% CI:1.4-3.0). Among non-antiviral-treated HBV-infected cases, we found the annual rates for HBsAg sero-clearance, progress to cirrhosis and HCC were 1.0, 0.6 and 0.2%, respectively. CONCLUSION The rates of medical care-seeking and antiviral treatment were low among community-based chronic HBV-infected persons, thus we recommend improving the insurance policies for HBV-infected persons to increase the antiviral treatment rate, and conducting extensive education to promote HBV-infected patients actively seeking medical care from hospitals.
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Affiliation(s)
- Hui Zheng
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Guomin Zhang
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Fuzhen Wang
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zundong Yin
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ning Miao
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaojin Sun
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaofeng Liang
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Fuqiang Cui
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, China
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Yuan Q, Wang F, Zheng H, Zhang G, Miao N, Sun X, Woodring J, Chan PL, Cui F. Hepatitis B vaccination coverage among health care workers in China. PLoS One 2019; 14:e0216598. [PMID: 31063488 PMCID: PMC6504080 DOI: 10.1371/journal.pone.0216598] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2018] [Accepted: 04/24/2019] [Indexed: 01/21/2023] Open
Abstract
OBJECTIVES Nation-wide hepatitis B vaccination coverage among healthcare workers (HCWs) is not well researched in China. This study aims to investigate the self-reported hepatitis B vaccination status among HCWs in China. METHODS We conducted a cross-sectional survey of health_care workers' vaccination statuses in 120 hospitals in China by collecting demographic and vaccination data. Univariate and multivariate logistic regression analysis were used to assess factors associated with hepatitis B vaccination coverage. RESULTS Eighty-six percent (2,666/3,104) of respondents reported having received at least one dose of the hepatitis B vaccination and 60% (1,853/3,104) reported having completed ≥3 doses of the hepatitis B vaccination. Factors associated with completing ≥3 doses of the hepatitis B vaccination included workplaces offering free hepatitis B vaccination with vaccination management, age, medical occupation, hospital level, acceptable hepatitis B knowledge and having received training on hepatitis B. HCWs in workplaces offering a free hepatitis B vaccine with vaccination management were 1.4 times more likely (OR = 1.4, 95% CI: 1.1-1.8) to complete their hepatitis B vaccination compared to HCWs in workplaces that did not offer a free hepatitis B vaccine. Either the possession of acceptable hepatitis B knowledge or an age of 30-39 years increased the odds of complete hepatitis B vaccination by 1.3-fold (95% CIs: 1.1-1.5 and 1.1-1.7, respectively) over their referent category. The receipt of training on hepatitis B was also associated with a higher percentage of completing the hepatitis B vaccination (OR = 1.5, 95% CI: 1.2-1.8). The main self-reported reason for incomplete hepatitis B vaccination was "forgot to complete follow-up doses" among 43% (234/547) of respondents. Among those who never received any hepatitis B vaccination, only 30% (131/438) intended to be vaccinated. Obtaining immunity from work (40%) and hospitals that did not provide hepatitis B vaccination activities (40%) were the top reasons mentioned for refusing hepatitis B vaccination. CONCLUSIONS The complete hepatitis B vaccination rate among HCWs in China is low, and the desire of HCWs for vaccination is indifferent; therefore, education campaigns are needed. In addition, a free national hepatitis B vaccination policy for HCWs that includes vaccination management should be prioritized to improve hepatitis B coverage among HCWs who are at-risk for HBV infection.
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Affiliation(s)
- Qianli Yuan
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
- Beijing Center for Disease Control and Prevention, Beijing, China
| | - Fuzhen Wang
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hui Zheng
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Guomin Zhang
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ning Miao
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaojin Sun
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Joseph Woodring
- World Health Organization, West Pacific Region Office, Manila, Philippines
| | - Po-lin Chan
- World Health Organization, West Pacific Region Office, Manila, Philippines
| | - Fuqiang Cui
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, China
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Chen LY, Fan XP, Fan YC, Zhao J, Gao S, Li F, Qi ZX, Wang K. BATF Interference Blocks Th17 Cell Differentiation and Inflammatory Response in Hepatitis B Virus Transgenic Mice. Dig Dis Sci 2019; 64:773-780. [PMID: 30498928 DOI: 10.1007/s10620-018-5392-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Accepted: 11/22/2018] [Indexed: 01/04/2023]
Abstract
BACKGROUND B cell-activating transcription factor (BATF) contributes to Th17 cell differentiation and pathological inflammatory responses. AIMS This study explored BATF as a regulator of Th17 differentiation in normal and hepatitis B virus (HBV) transgenic mice. METHODS Normal mice were divided into control, short hairpin RNA (shRNA) scramble, and shRNA BATF groups. HBV transgenic mice were divided into control, entecavir, shRNA scramble, entecavir + vector control, entecavir + shRNA scramble, shRNA BATF, and entecavir + shRNA BATF groups. Serum concentrations of AST, ALT, HBV-DNA, BATF, IL-17, and IL-22 and Th17 cell frequencies in the liver were compared among the groups. Correlations of serum HBV surface antigen (HBsAg), e-antigen (HBeAg), and core antigen (HBcAg) concentrations with BATF mRNA expression and the proportion of Th17 cells in the livers of HBV transgenic mice were also analyzed. RESULTS Serum AST, ALT, BATF, IL-17, and IL-22 concentrations and Th17 cell proportions were higher in HBV transgenic mice relative to normal controls. Positive correlations of the HBcAg concentration with BATF mRNA and the proportion of Th17 cells were observed in HBV transgenic mice. BATF interference reduced the proportion of Th17 cells and serum IL-17 and IL-22 concentrations and led to obvious downregulation of AST, ALT, BATF, IL-17, and IL-22 expression and a reduced proportion of Th17 cells when combined with entecavir. CONCLUSION HBV markedly upregulated BATF expression and promoted Th17 cell activation. By contrast, BATF interference significantly impeded the proliferation of Th17 cells and secretion of IL-17 and IL-22 while alleviating hepatic lesions.
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Affiliation(s)
- Long-Yan Chen
- Department of Hepatology, Qilu Hospital of Shandong University, Jinan, 250012, China
| | - Xiao-Peng Fan
- Department of Hepatology, Qilu Hospital of Shandong University, Jinan, 250012, China
| | - Yu-Chen Fan
- Department of Hepatology, Qilu Hospital of Shandong University, Jinan, 250012, China
| | - Jing Zhao
- Department of Hepatology, Qilu Hospital of Shandong University, Jinan, 250012, China
| | - Shuai Gao
- Department of Hepatology, Qilu Hospital of Shandong University, Jinan, 250012, China
| | - Feng Li
- Department of Hepatology, Qilu Hospital of Shandong University, Jinan, 250012, China
| | - Zhao-Xia Qi
- Department of Hepatology, Qilu Hospital of Shandong University, Jinan, 250012, China
| | - Kai Wang
- Department of Hepatology, Qilu Hospital of Shandong University, Jinan, 250012, China.
- Institute of Hepatology, Shandong University, Wenhuaxi Road 107#, Jinan, 250012, China.
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A system dynamics modelling simulation based on a cohort of hepatitis B epidemic research in east China community. Epidemiol Infect 2019; 147:e86. [PMID: 30821223 PMCID: PMC6518579 DOI: 10.1017/s0950268819000220] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
Hepatitis B constitutes a severe public health challenge in China. The Community-based Collaborative Innovation hepatitis B (CCI-HBV) project is a national epidemiological study of hepatitis B and has been conducting a comprehensive intervention in southern Zhejiang since 2009.The comprehensive intervention in CCI-HBV areas includes the dynamic hepatitis B screening in local residents, the normalised treatment for hepatitis B infections and the upcoming full-aged hepatitis B vaccination. After two rounds of screening (each round taking for 4 years), the initial epidemiological baseline of hepatitis B in Qinggang was obtained, a coastal community in east China. By combining key data and system dynamics modelling, the regional hepatitis B epidemic in 20 years was predicted.There were 1041 HBsAg positive cases out of 12 228 people in Round 1 indicating HBV prevalence of 8.5%. Of the 13 146 people tested in Round 2, 1171 people were HBsAg positive, with a prevalence of 8.9%. By comparing the two rounds of screening, the HBV incidence rate of 0.192 per 100 person-years was observed. By consulting electronic medical records, the HBV onset rate of 0.533 per 100 person-years was obtained. We generated a simulated model to replicate the real-world situation for the next two decades. To evaluate the effect of interventions on regional HBV prevalence, three comparative experiments were conducted.In this study, the regional hepatitis B epidemic in 20 years was predicted and compared with HBV prevalence under different interventions. Owing to the existing challenges in research methodology, this study combined HBV field research and simulation to provide a system dynamics model with close-to-real key data to improve prediction accuracy. The simulation also provided a prompt guidance for the field implementation.
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Owusu M, Bonney JK, Annan AA, Mawuli G, Okyere K, Mutocheluh M, Aryeequaye J, Adjei NK, Afihene M, Spangenberg K, Sylverken J, Owusu-Dabo E, Drosten C, Adu-Sarkodie Y. Aetiology of viral hepatitis among jaundiced patients presenting to a tertiary hospital in Ghana. PLoS One 2018; 13:e0203699. [PMID: 30208084 PMCID: PMC6135398 DOI: 10.1371/journal.pone.0203699] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Accepted: 08/24/2018] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Viral hepatitis continues to play significant role in causing morbidity and mortality in sub-Saharan Africa. Apart from the few population based studies available, not many have investigated the burden of these viruses in jaundiced patients. Among the few studies, hepatitis E is the least studied among jaundiced patients. This study was aimed at describing the frequency, distribution and risk of the different hepatitis viruses among jaundiced patients reporting to the second largest teaching hospital in Ghana. METHODS From November, 2015 to April, 2016, a cross-sectional study was conducted among jaundiced patients attending the Komfo Anokye Teaching Hospital. Between 3-5 ml of blood was collected from each patient and screened for viral hepatitis agents using both serologic and molecular-based assays. RESULTS In the 155 patients recruited, hepatitis B was the most prevalent [54.2% (95% CI = 46.0%-62.2%)] followed by hepatitis E [32.9% (95% CI = 25.6-40.9%)]. Most cases of hepatitis E occurred as co-infections with hepatitis B (18%), with the predominant clinical feature being hepatocellular carcinoma. Risk factor variable analysis showed middle and older aged individuals were more at risk of hepatitis B exposure whereas younger age groups (<18 years) were more at risk of hepatitis E virus infection. CONCLUSION Hepatitis viruses are still important in the viral aetiology of jaundice in Ghana. Hepatitis B and hepatitis E co-infections could play significant roles in causing severe disease. A more aggressive approach needs to be adopted in order to reduce the morbidity and mortality associated with hepatitis causing viruses in Ghana and other developing countries.
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Affiliation(s)
- Michael Owusu
- Kumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
- * E-mail:
| | - Joseph Kofi Bonney
- Department of Virology, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Ghana
| | - Augustina Angelina Annan
- Kumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
- Department of Theoretical and Applied Biology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Gifty Mawuli
- Department of Virology, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Ghana
| | - Kennedy Okyere
- Department of Clinical Microbiology, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Mohamed Mutocheluh
- Department of Clinical Microbiology, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Juliana Aryeequaye
- Department of Virology, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Ghana
| | | | - Mary Afihene
- Department of Medicine, Komfo Anokye Teaching Hospital, Kumasi, Ghana
| | - Kathryn Spangenberg
- Department of Family Medicine, Komfo Anokye Teaching Hospital, Kumasi, Ghana
| | - Justice Sylverken
- Department of Child Health, Komfo Anokye Teaching Hospital, Kumasi, Ghana
| | - Ellis Owusu-Dabo
- Kumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
- Department of Global Health, School of Public Health,Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Christian Drosten
- Institute of Virology, Charité - Universitätsmedizin Berlin, Berlin, Germnany
| | - Yaw Adu-Sarkodie
- Department of Clinical Microbiology, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
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11
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Zhou Y, He H, Deng X, Yan R, Tang X, Xie S, Yao J. Significant reduction in notification and seroprevalence rates of hepatitis B virus infection among the population of Zhejiang Province, China, aged between 1 and 29years from 2006 to 2014. Vaccine 2017; 35:4355-4361. [PMID: 28687404 DOI: 10.1016/j.vaccine.2017.06.078] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Revised: 06/17/2017] [Accepted: 06/23/2017] [Indexed: 01/04/2023]
Abstract
BACKGROUND AND OBJECTIVE The Chinese government integrated hepatitis B vaccination into the national immunization program in 1992, when the hepatitis B birth dose was introduced in China. Zhejiang province is a relatively developed area in eastern China and was an area with high endemicity for hepatitis B virus (HBV) infection via mother-to-child transmission. The hepatitis B vaccine vaccination rates for the birth dose and 3- dose schedule in Zhejiang Province since 1992 have both remained above 90% [1]. The results of two hepatitis B seroepidemiological surveys conducted in 2006 and 2014, respectively, to evaluate the rates of notification and seroprevalence of HBV infection among the population of Zhejiang Province, China, aged between 1 and 29years. METHODS Data on the notification rates of HBV infection in Zhejiang province from 2006 to 2014 were obtained from the National Notifiable Disease Reporting System (NNDRS). The prevalence rate of HBV serological markers and the rate of immunization coverage were compared between surveys. RESULTS The reported notification rates in people aged between 1 and 29years according to the NNDRS decreased approximately 4.88 times from 2006 to 2014. The prevalence of HBsAg decreased from 2.16% in 2006 to 1.05% in 2014, while the prevalence of anti-HBc decreased from 7.13% to 5.49%. The anti-HBc seroprevalence in the 15-29-year-old age group was significantly higher than that in all the other age groups both in the 2006 and 2014 serosurveys. The rate of anti-HBs seroprevalence in those aged between 1 and 14years was maintained at a high level between 2006 and 2014. CONCLUSIONS The rate of hepatitis B reported and the rate of HBsAg positivity decreased significantly in Zhejiang province by maintaining the high-level coverage rate of the hepatitis B timely birth dose and three-dose schedule. While additional efforts are needed to achieve the goal of elimination.
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Affiliation(s)
- Yang Zhou
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, PR China.
| | - Hanqing He
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, PR China.
| | - Xuan Deng
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, PR China.
| | - Rui Yan
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, PR China.
| | - Xuewen Tang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, PR China.
| | - Shuyun Xie
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, PR China.
| | - Jun Yao
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, PR China.
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12
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Yang S, Wu J, Ding C, Cui Y, Zhou Y, Li Y, Deng M, Wang C, Xu K, Ren J, Ruan B, Li L. Epidemiological features of and changes in incidence of infectious diseases in China in the first decade after the SARS outbreak: an observational trend study. THE LANCET. INFECTIOUS DISEASES 2017; 17:716-725. [PMID: 28412150 PMCID: PMC7164789 DOI: 10.1016/s1473-3099(17)30227-x] [Citation(s) in RCA: 169] [Impact Index Per Article: 24.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Revised: 02/24/2017] [Accepted: 03/02/2017] [Indexed: 12/31/2022]
Abstract
Background The model of infectious disease prevention and control changed significantly in China after the outbreak in 2003 of severe acute respiratory syndrome (SARS), but trends and epidemiological features of infectious diseases are rarely studied. In this study, we aimed to assess specific incidence and mortality trends of 45 notifiable infectious diseases from 2004 to 2013 in China and to investigate the overall effectiveness of current prevention and control strategies. Methods Incidence and mortality data for 45 notifiable infectious diseases were extracted from a WChinese public health science data centre from 2004 to 2013, which covers 31 provinces in mainland China. We estimated the annual percentage change in incidence of each infectious disease using joinpoint regression. Findings Between January, 2004, and December, 2013, 54 984 661 cases of 45 infectious diseases were reported (average yearly incidence 417·98 per 100 000). The infectious diseases with the highest yearly incidence were hand, foot, and mouth disease (114·48 per 100 000), hepatitis B (81·57 per 100 000), and tuberculosis (80·33 per 100 000). 132 681 deaths were reported among the 54 984 661 cases (average yearly mortality 1·01 deaths per 100 000; average case fatality 2·4 per 1000). Overall yearly incidence of infectious disease was higher among males than females and was highest among children younger than 10 years. Overall yearly mortality was higher among males than females older than 20 years and highest among individuals older than 80 years. Average yearly incidence rose from 300·54 per 100 000 in 2004 to 483·63 per 100 000 in 2013 (annual percentage change 5·9%); hydatid disease (echinococcosis), hepatitis C, and syphilis showed the fastest growth. The overall increasing trend changed after 2009, and the annual percentage change in incidence of infectious disease in 2009–13 (2·3%) was significantly lower than in 2004–08 (6·2%). Interpretation Although the overall incidence of infectious diseases was increasing from 2004, the rate levelled off after 2009. Effective prevention and control strategies are needed for diseases with the highest incidence—including hand, foot, and mouth disease, hepatitis B, and tuberculosis—and those with the fastest rates of increase (including hydatid disease, hepatitis C, and syphilis). Funding Chinese Ministry of Science and Technology, National Natural Science Foundation (China).
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Affiliation(s)
- Shigui Yang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Jie Wu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Cheng Ding
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Yuanxia Cui
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Yuqing Zhou
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Yiping Li
- Zhejiang Institute of Medical-care Information Technology, Hangzhou, China
| | - Min Deng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Chencheng Wang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Kaijin Xu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Jingjing Ren
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Bing Ruan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Lanjuan Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
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13
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Yang S, Ding C, Cui Y, Wu J, Yu C, Chen P, Xu K, Deng M, Li Y, Liu J, Yin P, Ren W, Qiu Y, Cao Q, Zhou Y, Yao J, Ruan B, Ren J, Li L. Prevalence and influencing factors of hepatitis B among a rural residential population in Zhejiang Province, China: a cross-sectional study. BMJ Open 2017; 7:e014947. [PMID: 28373257 PMCID: PMC5387940 DOI: 10.1136/bmjopen-2016-014947] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVES To reveal the prevalence and associated influencing factors of hepatitis B among a rural residential population in Zhejiang, China, in order to help develop specific control strategies. METHODS We conducted a cross-sectional study among a rural residential population in Zhejiang, China. Stratified multistage cluster sampling was utilised in five districts; a structured questionnaire was used to collect the information such as age, gender, education, occupation, living status, and other health related information of the participants by trained local staff; and the hepatitis B virus (HBV) infection status of the participants was determined by the chemiluminescence immunoassay test. Univariate and multivariate analyses were applied to evaluate the influencing factors of HBV infection. The odds ratio of each related factor was assessed with or without adjustment separately. RESULTS The mean age of the 16 601 participants (7881 males and 8720 females) who completed the survey was 40.28±19.47 years. The positive rate of hepatitis B surface antigen (HBsAg) was 4.04% (95% CI 3.74% to 4.35%), and 3.85% when standardised by age and gender. Univariate analysis showed that age, educational level, occupation, living status, history of hepatitis B examinations, history of blood transfusion, vaccination, family history, coastal living, and district were the potential influencing factors. Multivariate logistic regression indicated that occupation, living status, history of hepatitis B examinations, vaccination and district were the influencing factors. Undertaking a service-based tertiary industry job (ORa 1.19, 95% CI 0.94 to 1.51) and non-single living (ORa 2.84, 95% CI 2.17 to 3.70) might be risk factors, while vaccination (ORa 0.43, 95% CI 0.34 to 0.53) and history of hepatitis B examinations (ORa 0.71, 95% CI 0.48 to 1.03) were potential protective factors. CONCLUSIONS The prevalence of hepatitis B is at an intermediate epidemic level in a rural residential population in Zhejiang, China. Raising vaccination coverage, especially in adults, is a suitable strategy for the prevention and control of hepatitis B.
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Affiliation(s)
- Shigui Yang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Cheng Ding
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Yuanxia Cui
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Jie Wu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Chengbo Yu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Ping Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Kaijin Xu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Min Deng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Yiping Li
- Zhejiang Institute of Medical Care Information Technology, Hangzhou, China
| | - Juanjuan Liu
- Department of General Practice, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Pei Yin
- Department of General Practice, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Wen Ren
- Department of General Practice, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Yan Qiu
- Department of General Practice, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Qing Cao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Yuqing Zhou
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Jun Yao
- Department of Immunization, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Bing Ruan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Jingjing Ren
- Department of General Practice, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Lanjuan Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
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Tan J, Huang S, He G, Tang L, Ren Y, Zheng J, Liu X, Sun X. Maternal hepatitis B surface antigen carrier status and its impact on neonatal outcomes: a cohort study of 21 947 singleton newborns in China. J Matern Fetal Neonatal Med 2016; 30:2219-2224. [PMID: 27696914 DOI: 10.1080/14767058.2016.1243098] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Affiliation(s)
- Jing Tan
- School of West China Public Health, Sichuan University, Chengdu, PR China,
- Chinese Evidence-based Medicine Center, West China Hospital, Sichuan University, Chengdu, PR China,
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, PR China, and
| | - Shiyao Huang
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, PR China, and
| | - Guolin He
- West China Women’s and Children’s Hospital, Sichuan University, Chengdu, PR China
| | - Li Tang
- Chinese Evidence-based Medicine Center, West China Hospital, Sichuan University, Chengdu, PR China,
| | - Yan Ren
- School of West China Public Health, Sichuan University, Chengdu, PR China,
| | - Jinghuan Zheng
- School of West China Public Health, Sichuan University, Chengdu, PR China,
| | - Xinghui Liu
- West China Women’s and Children’s Hospital, Sichuan University, Chengdu, PR China
| | - Xin Sun
- Chinese Evidence-based Medicine Center, West China Hospital, Sichuan University, Chengdu, PR China,
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15
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Kang G, Chen H, Ma F, Yang Y, Wang Z, Guo S, Song J. Comparison of the effect of increased hepatitis B vaccine dosage on immunogenicity in healthy children and adults. Hum Vaccin Immunother 2016; 12:2312-6. [PMID: 27215279 DOI: 10.1080/21645515.2016.1172757] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Hepatitis B (HepB) infection remains a global public health problem, particularly in China. Vaccination for children and adult who are unvaccinated is an effective method for preventing the disease. In this study, we aimed to compare the effects of increased dosage of HepB vaccine on immunogenicity in healthy children and adults. A phase III, controlled, double-blinded clinical trial was performed. The subjects were assigned into groups I (age 5-14 y), II (age 15-24 y), and III (age ≥ 25 y). Subjects were randomly administered either 10 or 5 μg recombinant HepB vaccine; blood samples were collected before and after vaccination to estimate immunogenicity. The results showed that the seroconversion rate and geometric mean concentration of antibody to hepB surface antigen (anti-HBs) did not differ significantly between the dosages in each age group. Anti-HBs levels were reduced with age, and this effect was more obvious in adults administered 5 μg HepB vaccine. In conclusion, both vaccine dosages could be used to immunize children, and the 10 μg vaccine could be used for adults ages 15-24 y, whereas a higher dosage of the HepB vaccine may be required for adults ages 25 y and older.
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Affiliation(s)
- Guodong Kang
- a Jiangsu Provincial Center of Disease Control and Prevention , Jiangsu Province , China
| | - Haiping Chen
- b Beijing Tiantan Biological Products Co., Ltd , Beijing , China
| | - Fubao Ma
- a Jiangsu Provincial Center of Disease Control and Prevention , Jiangsu Province , China
| | - Yunkai Yang
- b Beijing Tiantan Biological Products Co., Ltd , Beijing , China
| | - Zhiguo Wang
- a Jiangsu Provincial Center of Disease Control and Prevention , Jiangsu Province , China
| | - Shaohong Guo
- b Beijing Tiantan Biological Products Co., Ltd , Beijing , China
| | - Jiping Song
- b Beijing Tiantan Biological Products Co., Ltd , Beijing , China
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