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Zhang H, Zhang H, Fang H. Cost-effectiveness analysis of vaccination strategies against meningococcal disease for children under nine years of age in China. Hum Vaccin Immunother 2024; 20:2313872. [PMID: 38348600 PMCID: PMC10865926 DOI: 10.1080/21645515.2024.2313872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 01/31/2024] [Indexed: 02/15/2024] Open
Abstract
Meningococcal vaccination strategies in China are intricate, including multiple vaccines targeting different serogroups. The current National Immunization Program (NIP) includes two polysaccharide vaccines for serogroups A and C (MPV-A and MPV-AC), covering limited serogroups and requiring adaptation. This study aims to evaluate the cost-effectiveness of replacing the current strategy with alternative strategies utilizing non-NIP vaccines to inform policy decisions. From a societal perspective, a decision tree-Markov model was constructed to simulate the economic and health consequences of meningococcal disease in a 2019 birth cohort with four vaccination strategies. Epidemiology, vaccine efficacy, cost, and other parameters were derived from previous studies. We conducted sensitivity analyses to assess the robustness of the findings and explored prices for non-NIP vaccines that enable cost-effective strategies. Compared to the current strategy, alternative strategies using quadrivalent polysaccharide vaccine (MPV-4), bivalent conjugate vaccine (MCV-AC), and quadrivalent conjugate vaccine (MCV-4) could avoid 91, 286, and 455 more meningococcal cases. The ICERs were estimated at approximately $250 thousand/QALY, $450 thousand/QALY, and $1.5 million/QALY, all exceeding the threshold of three times GDP per capita. The alternative strategies were not cost-effective. However, if vaccine prices were reduced to $3.9 for MPV-4, $9.9 for MCV-AC, and $12 for MCV-4, the corresponding strategy would be cost-effective. The current meningococcal vaccination strategy in China could effectively prevent the disease at a low cost, but with limited serogroup coverage. Strategies using MPV-4, MCV-AC, or MCV-4 could increase health benefits at a substantial cost, and might become cost-effective if vaccine prices decrease.
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Affiliation(s)
- Haonan Zhang
- School of Public Health, Peking University, Beijing, China
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Haijun Zhang
- School of Public Health, Peking University, Beijing, China
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Hai Fang
- China Center for Health Development Studies, Peking University, Beijing, China
- Peking University Health Science Center-Chinese Center for Disease Control and Prevention Joint Center for Vaccine Economics, Peking University, Beijing, China
- Institute for Global Health and Development, Peking University, Beijing, China
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Sun G, Zhang L, Qiu Y, Jia Y, Wang Y, Xu H, Zhang A, Hao L, Zhu W, Ye C. Changes of influenza vaccination rate and associated influencing factors after the COVID-19 pandemic in Shanghai, China. Hum Vaccin Immunother 2024; 20:2287294. [PMID: 38299510 PMCID: PMC10841022 DOI: 10.1080/21645515.2023.2287294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 11/21/2023] [Indexed: 02/02/2024] Open
Abstract
The vaccination rate for seasonal influenza remains low in most regions of China. It is essential to understand the factors that associated with the low influenza vaccination rate in various populations after the COVID-19 pandemic. A cross-sectional survey was conducted with residents in Pudong New Area, Shanghai, China. Respondents' vaccination condition during the 2021-2022 flu season and the reasons for receiving or not receiving influenza vaccine were investigated. Binary logistic regression was conducted to explore potential factors influencing vaccination uptake. 2,476 of 14,001 respondents received an influenza vaccine, with a total coverage of 17.68% (95% CI: 17.05%, 18.32%). Children had the highest vaccination coverage (35.68%; 95% CI: 34.02, 37.33), followed by adults (12.75%; 95% CI: 11.91%, 13.58%) and elderly individuals (11.70%, 95% CI: 10.78%, 12.62%). For children, lower household income was an significant promoting factor. For adults, factors significantly associated with vaccination were household income, sex, and education level. For elderly, factors significantly associated with vaccination were household income, education level, living state, and having underlying diseases. (P < .05)The main reason for vaccine hesitancy among children was worried about side effects (21.49%), for adults and elderly was self-rated good health (adults: 37.14%, elderly people: 30.66%). The overall influenza vaccination coverage rate in Shanghai, especially among elderly individuals, is lower than many developed countries. Appropriate strategies and programs targeting different populations need to be implemented to enhance influenza vaccine coverage.
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Affiliation(s)
- Geyang Sun
- Acute infectious disease control and prevention Department, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China
| | - Li Zhang
- Acute infectious disease control and prevention Department, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China
| | - Ye Qiu
- Acute infectious disease control and prevention Department, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China
| | - Yilin Jia
- Acute infectious disease control and prevention Department, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China
| | - Yuanping Wang
- Acute infectious disease control and prevention Department, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China
| | - Hongmei Xu
- Acute infectious disease control and prevention Department, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China
| | - Anran Zhang
- Acute infectious disease control and prevention Department, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China
| | - Lipeng Hao
- Acute infectious disease control and prevention Department, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China
| | - Weiping Zhu
- Acute infectious disease control and prevention Department, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China
| | - Chuchu Ye
- Acute infectious disease control and prevention Department, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China
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Daungsupawong H, Wiwanitkit V. Enhancing the accuracy of seroprevalence studies: Reassessing pertussis infection rates in eastern China during the COVID-19 pandemic. Hum Vaccin Immunother 2024; 20:2340765. [PMID: 38626299 DOI: 10.1080/21645515.2024.2340765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Accepted: 04/04/2024] [Indexed: 04/18/2024] Open
Affiliation(s)
| | - Viroj Wiwanitkit
- Department of Research Analytics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences Saveetha University India
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Shi W, Wang B, Meng Q, Zhang X, Li Z, He F, Ying F, Cong L, Yao K. Seroprevalence of tetanus and pertussis antibodies among health care workers in Wuhu, China. Hum Vaccin Immunother 2024; 20:2318892. [PMID: 38465707 PMCID: PMC10936590 DOI: 10.1080/21645515.2024.2318892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 02/12/2024] [Indexed: 03/12/2024] Open
Abstract
This study aimed to elucidate the seroprevalence of antibodies to tetanus and pertussis among Chinese health care workers. Blood specimens from health care workers were collected during the 2021 annual medical examination at the First People's Hospital of Wuhu. Commercial ELISA kits were employed to quantify serum IgG antibodies against tetanus toxin (anti-TT IgG) and both IgG and IgA antibodies against pertussis toxin (anti-PT IgG, anti-PT IgA). A concentration of anti-TT IgG exceeding 0.1 IU/ml was deemed seroprotective against tetanus, while concentrations of anti-PT IgG ≥ 50 IU/ml or anti-PT IgA ≥ 15 IU/ml were indicative of a prior pertussis infection. The overall seroprotective rate for anti-TT IgG stood at 10.43% (92/882), with the highest seroprotective rate (13.91%) in the 20-29 age group, followed by the 30-39 age group (10.57%), 40-49 age group (5.80%), and 50-59 age group (5.63%). Eighteen (2.04%) of the studied subjects were positive to anti-PT IgG, and the positive rate in 20-39 age group and 40-59 age group was 1.19% (8/673) and 4.78% (10/209), respectively. Thirty (3.40%) subjects displayed anti-PT IgG levels ≥100 IU/ml and/or anti-PT IgA ≥ 15 IU/ml, suggesting a recent pertussis infection within the preceding year. Over half (503/882, 57.03%) had undetectable anti-PT IgG antibodies. The majority of health care workers in China appear susceptible to tetanus and pertussis, and a significant subset has experienced pertussis infection. The implementation of booster vaccinations against these diseases for Chinese health care workers is recommended.
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Affiliation(s)
- Wei Shi
- MOE Key Laboratory of Major Diseases in Children,National Key Discipline of Pediatrics, National Clinical Research Center for Respiratory Diseases, Beijing Pediatric Research Institute, Beijing Children’s Hospital, National Center for Children’s Health, Capital Medical University, Beijing, China
| | - Bingsong Wang
- MOE Key Laboratory of Major Diseases in Children,National Key Discipline of Pediatrics, National Clinical Research Center for Respiratory Diseases, Beijing Pediatric Research Institute, Beijing Children’s Hospital, National Center for Children’s Health, Capital Medical University, Beijing, China
| | - Qinghong Meng
- MOE Key Laboratory of Major Diseases in Children,National Key Discipline of Pediatrics, National Clinical Research Center for Respiratory Diseases, Beijing Pediatric Research Institute, Beijing Children’s Hospital, National Center for Children’s Health, Capital Medical University, Beijing, China
| | - Xianlai Zhang
- Pediatric Respiratory Department, The First People’s Hospital of Wuhu, Wuhu, China
| | - Zhen Li
- Department of Laboratory Medicine, The First People’s Hospital of Wuhu, Wuhu, China
| | - Fang He
- Medical Centre, The First People’s Hospital of Wuhu, Wuhu, China
| | - Fei Ying
- Department of Laboratory Medicine, The First People’s Hospital of Wuhu, Wuhu, China
| | - Linyan Cong
- Pediatric Respiratory Department, The First People’s Hospital of Wuhu, Wuhu, China
| | - Kaihu Yao
- MOE Key Laboratory of Major Diseases in Children,National Key Discipline of Pediatrics, National Clinical Research Center for Respiratory Diseases, Beijing Pediatric Research Institute, Beijing Children’s Hospital, National Center for Children’s Health, Capital Medical University, Beijing, China
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Zhang Y, Cui J, Liu F, Song Y, Wang Q, Liu Y, Zhang Y, Li Z, Chang Z. Effectiveness of Enterovirus 71 inactivated vaccines against hand, foot, and mouth disease: A test-negative case-control study. Hum Vaccin Immunother 2024; 20:2330163. [PMID: 38544389 PMCID: PMC10984126 DOI: 10.1080/21645515.2024.2330163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 03/10/2024] [Indexed: 04/04/2024] Open
Abstract
The Enterovirus A71 (EV-A71) vaccine was introduced in China in December 2015 as a preventive measure against hand, foot, and mouth disease (HFMD) caused by EV-A71. However, the effectiveness of the vaccine (VE) in real-world settings needs to be evaluated. We conducted a test-negative case-control study to assess the effectiveness of EV-A71 vaccines in preventing EV-A71-associated HFMD. Children aged 6-71 months with HFMD were enrolled as participants. The case group comprised those who tested positive for EV-A71, while the control group comprised those who tested negative for EV-A71. To estimate VE, a logistic regression model was employed, adjusting for potential confounders including age, gender, and clinical severity. In total, 3223 children aged 6 to 71 months were included in the study, with 162 in the case group and 3061 in the control group. The proportion of children who received EV-A71 vaccination was significantly lower in the case group compared to the control group (p < .001). The overall VEadj was estimated to be 90.8%. The VEadj estimates for partially and fully vaccinated children were 90.1% and 90.9%, respectively. Stratified by age group, the VEadj estimates were 88.7% for 6 to 35-month-olds and 95.5% for 36 to 71-month-olds. Regarding disease severity, the VEadj estimates were 86.3% for mild cases and 100% for severe cases. Sensitivity analysis showed minimal changes in the VE point estimates, with most changing by no more than 1% point. Our study demonstrates a high level of vaccine effectiveness against EV-A71-HFMD, especially in severe cases. Active promotion of EV-A71 vaccination is an effective strategy in preventing EV-A71 infections.
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Affiliation(s)
- Yutong Zhang
- Division of Infectious Disease, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jinzhao Cui
- Division of Infectious Disease, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Fengfeng Liu
- Division of Infectious Disease, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yang Song
- Division of Infectious Disease, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Quanyi Wang
- Institute for the Control of Infectious and Endemic Diseases, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Yanzhe Liu
- Division of Infectious Disease, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanping Zhang
- Division of Infectious Disease, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhongjie Li
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Zhaorui Chang
- Division of Infectious Disease, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China
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Li M, Zhang W, Zheng S, Guo J, He H, Ma Y, Huang Y, Feng Y, Ji C. A real-world study on the changing characteristics of measles antibodies in premature infants in China. Hum Vaccin Immunother 2024; 20:2338505. [PMID: 38599768 PMCID: PMC11008540 DOI: 10.1080/21645515.2024.2338505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/12/2024] Open
Abstract
The waning of maternal antibodies may cause infants to lose protection against measles before receiving measles-containing vaccine (MCV). The aim of this study is to investigate the changing characteristics and influencing factors of measles antibodies in preterm infants (PT), and to provide scientific basis for optimizing MCV vaccination strategy of the target population. Blood samples were collected from PT and full-term infants (FT) at the chronological age (CA) of 3, 6, and 12 months. Measles antibodies were quantitatively detected by enzyme-linked immunosorbent assay. Demographic and vaccination information were both collected. Kruskal-Wallis rank sum test was used to compare the measles antibodies among different gestation age (GA) groups, and multiple linear regression was performed to identify the correlative factors for the antibodies. Measles antibodies of PT decreased significantly with age increasing before MCV vaccination. The positive rates of antibodies of PT were 10.80% and 3.30% at the age of 3 and 6 months, respectively (p < .001). At 12 months, the measles antibodies and seropositive rate in the infants who received MCV vaccination increased sharply (p < .001). Regression analyzes showed that the younger the GA or the older the age, the lower the antibodies at 3 months(p < .001,p = .018); while the lower measles antibody levels at 3 months and older age predicted the lower antibodies at 6 months(p < .001, p = .029). PT were susceptible to measles due to the low level of maternally derived antibodies before MCV vaccination. More efforts should be considered to protect the vulnerable population during their early postnatal life.
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Affiliation(s)
- Mingyan Li
- Department of Child Health Care, The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Weiwei Zhang
- Department of Child Health Care, Maternal and Child Health Hospital of Changxing, Huzhou, China
| | - Shuangshuang Zheng
- Department of Child Health Care, The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Junxia Guo
- Department of Child Health Care, The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Hanqing He
- Department of Immunization Program, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Yongjun Ma
- Department of Pediatrics, Maternal and Child Healthcare Hospital Department of Shangyu, Shaoxing, China
| | - Yan Huang
- Department of Immunization Program, Center for Disease Control and Prevention of Shangyu, Shaoxing, China
| | - Yan Feng
- Department of Immunization Program, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Chai Ji
- Department of Child Health Care, The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
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Su Y, Zheng T, Bi Z, Jia X, Li Y, Kuang X, Yang Y, Chen Q, Lin H, Huang Y, Huang S, Qiao Y, Wu T, Zhang J, Xia N. Pattern of multiple human papillomavirus infection and type competition: An analysis in healthy Chinese women aged 18-45 years. Hum Vaccin Immunother 2024; 20:2334474. [PMID: 38619081 PMCID: PMC11020552 DOI: 10.1080/21645515.2024.2334474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 03/20/2024] [Indexed: 04/16/2024] Open
Abstract
To assess the pattern of multiple human papillomavirus infection to predict the type replacement postvaccination. A total of 7372 women aged 18-45y from a phase III trial of an Escherichia coli-produced HPV-16/18 vaccine were analyzed at enrollment visit before vaccination. Hierarchical multilevel logistic regression was used to evaluate HPV vaccine type and nonvaccine-type interactions with age as a covariate. Binary logistic regression was construed to compare multiple infections with single infections to explore the impact of multiple-type infections on the risk of cervical disease. Multiple HPV infections were observed in 25.2% of HPV-positive women and multiple infections were higher than expected by chance. Statistically significant negative associations were observed between HPV16 and 52, HPV18 and HPV51/52/58, HPV31 and HPV39/51/52/53/54/58, HPV33 and HPV52/58, HPV58 and HPV52, HPV6 and HPV 39/51/52/53/54/56/58. Multiple HPV infections increased the risk of CIN2+ and HSIL+, with the ORs of 2.27(95%CI: 1.41, 3.64) and 2.26 (95%CI: 1.29, 3.95) for multiple oncogenic HPV infection separately. However, no significant evidence for the type-type interactions on risk of CIN2+ or HSIL+. There is possibility of type replacement between several pairs of vaccine and nonvaccine HPV type. Multiple HPV infection increased the risk of cervical disease, but coinfection HPV types seem to follow independent disease processes. Continued post-vaccination surveillance for HPV 51/52/58 types and HPV 39/51 types separately was essential after the first and second generation of HPV vaccination implementation in China.
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Affiliation(s)
- Yingying Su
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang an Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, Xiamen University, Xiamen, China
| | - Tingquan Zheng
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang an Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, Xiamen University, Xiamen, China
| | - Zhaofeng Bi
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang an Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, Xiamen University, Xiamen, China
| | - Xinhua Jia
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang an Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, Xiamen University, Xiamen, China
- National Cancer Center, National Center for Cancer Clinical Research, The Cancer Institute, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China
| | - Yufei Li
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang an Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, Xiamen University, Xiamen, China
- National Cancer Center, National Center for Cancer Clinical Research, The Cancer Institute, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China
| | - Xuefeng Kuang
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang an Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, Xiamen University, Xiamen, China
- National Cancer Center, National Center for Cancer Clinical Research, The Cancer Institute, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China
| | - Yuan Yang
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang an Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, Xiamen University, Xiamen, China
- National Cancer Center, National Center for Cancer Clinical Research, The Cancer Institute, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China
| | - Qi Chen
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang an Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, Xiamen University, Xiamen, China
| | - Hongyan Lin
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang an Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, Xiamen University, Xiamen, China
| | - Yue Huang
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang an Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, Xiamen University, Xiamen, China
| | - Shoujie Huang
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang an Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, Xiamen University, Xiamen, China
| | - Youlin Qiao
- National Cancer Center, National Center for Cancer Clinical Research, The Cancer Institute, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China
| | - Ting Wu
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang an Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, Xiamen University, Xiamen, China
| | - Jun Zhang
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang an Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, Xiamen University, Xiamen, China
| | - Ningshao Xia
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang an Biomedicine Laboratory, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, Xiamen University, Xiamen, China
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Han L, Liu J, Shataer M, Wu C, Niyazi M. The relationship between long non-coding gene CASC21 polymorphisms and cervical cancer. Cancer Biol Ther 2024; 25:2322207. [PMID: 38465665 PMCID: PMC10936591 DOI: 10.1080/15384047.2024.2322207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 02/19/2024] [Indexed: 03/12/2024] Open
Abstract
BACKGROUND CASC21 was reported to be a hotspot gene in cervical cancer. The relationship between CASC21 genetic polymorphisms and cervical cancer has not been reported. Genetic factors influence the occurrence of cervical cancer. Thus, we explored the correlation between CASC21 polymorphisms and cervical cancer. METHODS A total of 973 participants within 494 cervical cancer cases and 479 healthy controls were recruited. Five single nucleotide polymorphisms (SNPs) in the CASC21 gene were genotyped using the Agena MassARRAY platform. Chi-squared test, logistic regression analysis, odds ratio (OR), multifactor dimensionality reduction (MDR), and 95% confidence interval (95%CI) were used for data analysis. RESULTS In the overall analysis, rs16902094 (p = .014, OR = 1.86, 95% CI = 1.12-3.08) and rs16902104 (p = .014, OR = 1.86, 95% CI = 1.12-3.09) had the risk-increasing correlation with the occurrence of cervical cancer. Stratification analysis showed that rs16902094 and rs16902104 were still associated with cervical cancer risk in the subgroups with age > 51, BMI < 24 kg/m2, smokers, and patients with cervical squamous cell carcinoma. MDR analysis displayed that rs16902094 (.49%) and rs16902104 (.52%) were the main influential attribution factor for cervical cancer risk. CONCLUSION Our finding firstly determined that two CASC21 SNPs (rs16902094, rs16902104) were associated with an increased risk of cervical cancer, which adds to our knowledge regarding the effect of CASC21 on cervical carcinogenesis.
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Affiliation(s)
- Lili Han
- Department of Gynecology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumchi, Xinjiang, China
| | - Jing Liu
- Department of Gynecology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumchi, Xinjiang, China
| | - Mireayi Shataer
- Department of Gynecology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumchi, Xinjiang, China
| | - Chengyong Wu
- Department of Gynecology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumchi, Xinjiang, China
| | - Mayinuer Niyazi
- Department of Gynecology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumchi, Xinjiang, China
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Sun X, Zhang T, Sun J, Zhou J, Chen Q, Jia C, Xu Y, Wu Y, Wang Z, Wang W. The seroepidemiology of immunoglobulin G antibodies against pertussis toxin and filamentous hemagglutinin in the east of China during the COVID-19 pandemic. Hum Vaccin Immunother 2024; 20:2331438. [PMID: 38517269 PMCID: PMC10962620 DOI: 10.1080/21645515.2024.2331438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 03/13/2024] [Indexed: 03/23/2024] Open
Abstract
This study employed sero-epidemiological methods to estimate the incidence of pertussis within a healthy population located in eastern China. The aim was to gain deeper insights into the epidemiological characteristics and burden of pertussis within the country. Blood samples were collected from healthy individuals in Jiangsu Province between June 2019 and December 2022. The levels of IgG antibodies against pertussis toxin (anti-PT) and filamentous hemagglutinin (anti-FHA) in the serum were quantitatively measured using enzyme-linked immunosorbent assay (ELISA). Additionally, pertussis case data reported in Jiangsu Province were collected from the China Information System for Disease Control and Prevention and compared with the results of this study. In 2022, the reported incidence of pertussis stood at 1.0 per 100,000 individuals, marking the highest rate observed in the past two decades. Among 1,909 patients examined, the geometric mean concentration (GMC) of anti-PT IgG antibody was 20.2 (18.5-21.9) IU/ml, while that of anti-FHA IgG antibody was 27.0 (25.4-28.7) IU/ml. The IgG-PT and IgG-FHA seropositivity rate (>20.0 IU/ml) was highest in the 1 ~ 2 y old group and decreased rapidly to the lowest in the 3 ~ 4 y old group and then increased gradually with age. The estimated rate of pertussis infection based on seroprevalence was approximately 25,625-fold higher than the reported notification rate in the ≥15 year age group. Our findings highlight decreased immunity post-vaccination, stressing the importance of additional booster shots for adolescents and adults to maintain immunity and reduce severe illness. Additionally, they offer vital guidance for policymakers to enhance immunization strategies.
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Affiliation(s)
- Xiang Sun
- Department of Expanded Program on Immunization, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Tingting Zhang
- Medical Record Office, Children’s Hospital of Nanjing Medical University, Nanjing, China
| | - Jinning Sun
- Department of Expanded Program on Immunization, Nanjing Center for Disease Control and Prevention, Nanjing, China
| | - Juan Zhou
- Department of Expanded Program on Immunization, Gaogang Center for Disease Control and Prevention, Taizhou, China
| | - Qiang Chen
- Department of Expanded Program on Immunization, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Chengmei Jia
- Department of Expanded Program on Immunization, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Yan Xu
- Department of Expanded Program on Immunization, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Yun Wu
- Department of Expanded Program on Immunization, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Zhiguo Wang
- Department of Expanded Program on Immunization, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Wen Wang
- Department of Rheumatology and Immunology, The Affiliated Suqian First People’s Hospital of Nanjing Medical University, Suqian, China
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10
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Liu P, Yang X, Zhao H, Liang L, Chen M, Yin A. High burden of human papillomavirus infection among men in Guangzhou, South China: Implications for HPV vaccination strategies. Hum Vaccin Immunother 2024; 20:2337161. [PMID: 38566539 PMCID: PMC10993917 DOI: 10.1080/21645515.2024.2337161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Accepted: 03/27/2024] [Indexed: 04/04/2024] Open
Abstract
The epidemiological and clinical aspects of Human Papillomavirus (HPV) infection in women have been extensively studied. However, there is a lack of information regarding HPV characteristics in males. In this study, we conducted a retrospective and observational study of 3737 consecutive male individuals attending outpatient clinics of Guangdong Women and Children Hospital from 2012 to 2023 in Guangzhou, South China, to determine the age- and genotype-specific prevalence of HPV in men. The results showed the overall prevalence of HPV among men was 42.15% (1575/3737), with variations ranging from 29.55% to 81.31% across distinct diagnostic populations. Low-risk HPV6 (15.47%), HPV11 (8.94%), and high-risk HPV52 (5.51%) were the most common types. The annual HPV prevalence decreased significantly (Z = -3.882, p < .001), ranging from 31.44% to 52.90%. 28.77% (1075/3737) of men manifested infection with a singular HPV type, predominantly identified as a low-risk type. The age-specific distribution of HPV infections revealed distinctive peaks in the < 25 y age group (47.60%, 208/437) and the 40-44 y age group (44.51%, 154/346). Notably, the positive rate of Chlamydia trachomatis was significantly higher among HPV-positive individuals in comparison to HPV-negatives (16.14% vs. 11.25%, p < .05). Our findings reveal a substantial prevalence of HPV infection among outpatient men in Guangzhou, South China. It is recommended to consider the inclusion of HPV vaccination for adolescent males in national immunization schedules, once an adequate supply of vaccines is accessible.
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Affiliation(s)
- Pan Liu
- Medical Genetic Center, Guangdong Women and Children Hospital, Guangzhou, China
| | - Xiaohan Yang
- Medical Genetic Center, Guangdong Women and Children Hospital, Guangzhou, China
| | - Hongyu Zhao
- Medical Genetic Center, Guangdong Women and Children Hospital, Guangzhou, China
| | - Lihua Liang
- Medical Genetic Center, Guangdong Women and Children Hospital, Guangzhou, China
| | - Minchai Chen
- Medical Genetic Center, Guangdong Women and Children Hospital, Guangzhou, China
| | - Aihua Yin
- Medical Genetic Center, Guangdong Women and Children Hospital, Guangzhou, China
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11
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Zhao C, Zhao Y, Li J, Li M, Shi Y, Wei L. Opportunities and challenges for human papillomavirus vaccination in China. Hum Vaccin Immunother 2024; 20:2329450. [PMID: 38575524 PMCID: PMC10996835 DOI: 10.1080/21645515.2024.2329450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 03/08/2024] [Indexed: 04/06/2024] Open
Abstract
Current estimates of the HPV infection rate in China vary by geographic region (9.6-23.6%), with two age peaks in prevalence in women ≤20-25 years of age and 50-60 years of age. HPV-16, 52 and 58 are the most commonly-detected HPV genotypes in the Chinese population. In China, five HPV vaccines are licensed and several others are undergoing clinical trials. Multiple RCTs have shown the efficacy and safety of the bvHPV (Cervarix), Escherichia coli-produced bvHPV (Cecolin), Pichia pastoris-produced bvHPV (Walrinvax), qvHPV (Gardasil) and 9vHPV (Gardasil-9) vaccines in Chinese populations, including two studies showing long-term efficacy (≥8 years) for the bvHPV and qvHPV vaccines. Real-world data from China are scarce. Although modeling studies in China show HPV vaccination is cost-effective, uptake and population coverage are relatively low. Various policies have been implemented to raise awareness and increase vaccine coverage, with the long-term aim of eliminating cervical cancer in China.
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Affiliation(s)
- Chao Zhao
- Gynaecology, Peking University People’s Hospital, Beijing, China
| | - Yun Zhao
- Gynaecology, Peking University People’s Hospital, Beijing, China
| | - Jingran Li
- Gynaecology, Peking University People’s Hospital, Beijing, China
| | - Mingzhu Li
- Gynaecology, Peking University People’s Hospital, Beijing, China
| | - Yujing Shi
- MRL Global Medical Affairs, MSD China, Shanghai, China
| | - Lihui Wei
- Department of Gynecology and Obstetrics, Peking University People’s Hospital
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12
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Chen L, Qiu Q, Zhu Q, Li J, Xie X, Shao X, Liang J, Zhang W, Zheng H, Li B, Xu L, Zeng H, Sun L. Serological investigation on the prevalence of poliovirus in Guangdong province: A cross-sectional study. Hum Vaccin Immunother 2024; 20:2300156. [PMID: 38189143 DOI: 10.1080/21645515.2023.2300156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 12/23/2023] [Indexed: 01/09/2024] Open
Abstract
In 2019, we conducted a cross-sectional study for polio virus seroprevalence in Guangdong province, China. We assessed the positivity rates of poliomyelitis NA and GMT in serum across various demographic groups, and the current findings were compared with pre-switch data from 2014. Using multistage random sampling method, four counties/districts were randomly selected per city, and within each, one general hospital and two township hospitals were chosen. Healthy individuals coming for medical checkups or vaccination were invited. A total of 1318 individual samples were collected and tested. In non-newborn population, age-dependent positivity rates ranged from 77.8% to 100% for PV1 NA and 70.3% to 98.9% for PV3 NA (p < .01). The lowest GMT values for both types (17.03 and 8.46) occurred in the 20 to <30 years age group, while peak GMTs for PV1 and PV3 were observed in 1 to <2 (340.14) and 0 to <1-year (168.90) age groups, respectively. GMTs for PV1 (P = .002) and PV3 (P = .007) in Eastern Guangdong were lower than those in the other three regions. Male participants showed higher GMTs than females (P = .016 and .033, respectively). In newborn population, both males and females showed higher PV1 NA positivity rates and GMTs compared to PV3 (p < .05). Post-switch PV3 NA positivity rates were higher than pre-switch rates (p = .016). GMTs of both PV1 and PV3 were significantly higher post-switch (p < .001). The positivity rates of NAs and GMTs remain high level, which play an important role in resisting poliomyelitis infection. Effect of the converted immunization program was more pronounced than that before.
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Affiliation(s)
- Linxiang Chen
- Department of Immunization Planning, Luohu District Center for Disease Control and Prevention, Shenzhen, China
- Institute of Immunization Programme, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Quan Qiu
- Institute of Immunization Programme, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Qi Zhu
- Institute of Immunization Programme, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Jialing Li
- Institute of Immunization Programme, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Xin Xie
- Institute of Immunization Programme, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Xiaoping Shao
- Institute of Immunization Programme, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Jian Liang
- Institute of Immunization Programme, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Wei Zhang
- Institute of Pathogenic Microbiology, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
- Institute of Pathogenic Microbiology, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, China
| | - Huanying Zheng
- Institute of Pathogenic Microbiology, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
- Institute of Pathogenic Microbiology, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, China
| | - Baisheng Li
- Institute of Pathogenic Microbiology, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
- Institute of Pathogenic Microbiology, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, China
| | - Lin Xu
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Hanri Zeng
- Institute of Pathogenic Microbiology, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
- Institute of Pathogenic Microbiology, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, China
| | - Limei Sun
- Institute of Immunization Programme, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong, China
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13
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An J, Liu Y, Ma Y, Jiao YZ, Liang XF, Jin N, Bao J, Jiang N, Zhang XS. Real-world data of China: Analysis of HPV vaccine coverage and post-vaccination adverse reaction monitoring in Western Chinese provinces from 2018 to 2021. Hum Vaccin Immunother 2024; 20:2315653. [PMID: 38372046 PMCID: PMC10878016 DOI: 10.1080/21645515.2024.2315653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Accepted: 02/04/2024] [Indexed: 02/20/2024] Open
Abstract
To investigate the HPV vaccine coverage and post-vaccination adverse reactions in Gansu Province, Western China, from 2018 to 2021. Data on suspected adverse reactions to HPV vaccines were collected from the Chinese Vaccine Adverse Event Following Immunization (AEFI). Estimate the incidence rates of Common Adverse Reaction and Rare Adverse Reaction. HPV vaccine coverage among females in different age groups was calculated using data from the Gansu Provincial Immunization Information Platform. The first-dose HPV vaccine coverage rate among females aged 9 to 45 was 2.02%, with the lowest rate of less than 1% observed in females aged 9 to 14. From 2018 to 2021, the incidence rates of Common Adverse Reaction and Rare Adverse Reaction reported in females after HPV vaccination were 11.82 and 0.39 per 100,000 doses, respectively. Common Adverse Reaction included fever (5.52 per 100,000 doses), local redness and swelling (3.33 per 100,000 doses), fatigue (3.15 per 100,000 doses), headache (2.76 per 100,000 doses), as well as local induration and nausea/vomiting (1.97 per 100,000 doses). Adverse reactions mainly occurred within 1 day after vaccination, followed by 1 to 3 days after vaccination. The HPV vaccine coverage rate among females aged 9 to 14 in Gansu Province is remarkably low, and there is an urgent need to enhance vaccine coverage. From 2018 to 2021, the incidence of Adverse reaction Following Immunization HPV vaccination fell within the expected range, indicating the vaccine's safety profile.
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Affiliation(s)
- Jing An
- Immunization Planning Department, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China
| | - Yan Liu
- school of public health, Gansu University Of Chinese Medicine, Lanzhou, China
| | - Yingchun Ma
- Inspection and testing, Gansu Medical Device Inspection And Testing Institute, Lanzhou, China
| | - Yong-Zhuo Jiao
- Immunization Planning Department, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China
| | - Xue-Feng Liang
- Immunization Planning Department, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China
| | - Na Jin
- Immunization Planning Department, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China
| | - Junyi Bao
- Immunization Planning Department, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China
| | - Nan Jiang
- Immunization Planning Department, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China
| | - Xiao-Shu Zhang
- Immunization Planning Department, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China
- school of public health, Gansu University Of Chinese Medicine, Lanzhou, China
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14
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Florea A, Sy L, Qian L, Ackerson B, Luo Y, Wu J, Cheng Y, Ku J, Vega Daily L, Takhar H, Song J, Chmielewski-Yee E, Spence O, Seifert H, Oraichi D, Tseng HF. Real-world effectiveness of recombinant zoster vaccine in self-identified Chinese individuals aged ≥50 years in the United States. Hum Vaccin Immunother 2024; 20:2327145. [PMID: 38488143 PMCID: PMC10950286 DOI: 10.1080/21645515.2024.2327145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 03/02/2024] [Indexed: 03/19/2024] Open
Abstract
We evaluated the vaccine effectiveness (VE) of two doses of recombinant zoster vaccine (RZV) against herpes zoster (HZ) and postherpetic neuralgia (PHN) in Chinese adults at Kaiser Permanente Southern California (KPSC). Chinese KPSC members were identified based on self-reported ethnicity or self-reported preferred spoken/written language. Those aged ≥50 years who received two doses of RZV 4 weeks to ≤ 6 months apart were matched 1:4 to RZV unvaccinated Chinese members and followed through June 2022; second doses were accrued 6/1/2018-12/31/2020. We estimated incidence and adjusted hazard ratios (aHRs) with 95% confidence intervals (CIs) comparing outcomes (HZ and PHN). Adjusted VE (%) was calculated as (1-aHR)×100. 3978 RZV vaccinated Chinese members were matched to 15,912 RZV unvaccinated Chinese members. The incidence per 1000 person-years (95% CI) of HZ in the vaccinated group was 1.5 (0.9-2.5) and 10.9 (9.8-12.1) in the unvaccinated group; aHR (95% CI) was 0.12 (0.07-0.21). Adjusted VE (95% CI) was 87.6% (78.9-92.7) against HZ. We identified 0 PHN cases in the vaccinated group and 19 in the unvaccinated group. Among Chinese adults aged ≥50 years, two doses of RZV provided substantial protection against HZ and PHN supporting the real-world effectiveness of the vaccine in this population.
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Affiliation(s)
- Ana Florea
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Lina Sy
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Lei Qian
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Bradley Ackerson
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Yi Luo
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Jun Wu
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Yanjun Cheng
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Jennifer Ku
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Leticia Vega Daily
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Harpreet Takhar
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Jeannie Song
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | | | - O’Mareen Spence
- Department of Epidemiology and Patient-Centered Outcomes, GSK, Rockville, MD, USA
| | - Harry Seifert
- Department of Clinical Safety and Pharmacovigilance, GSK, Rockville, MD, USA
| | - Driss Oraichi
- Department of Real World Analytics, GSK, Rockville, MD, USA
| | - Hung Fu Tseng
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA
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15
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Zhong Y, Lu H, Jiang Y, Rong M, Zhang X, Liabsuetrakul T. Effect of homemade peanut oil consumption during pregnancy on low birth weight and preterm birth outcomes: a cohort study in Southwestern China. Glob Health Action 2024; 17:2336312. [PMID: 38629142 DOI: 10.1080/16549716.2024.2336312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 03/25/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND Homemade peanut oil is widely consumed in rural areas of Southwestern China, which is easily contaminated by aflatoxins (AFs) and associated with adverse birth outcomes. OBJECTIVE To identify the effect of exposure to homemade peanut oil consumption on low birth weight (LBW), preterm birth (PB) and other associated factors. METHODS A prospective cohort study was conducted among pregnant women in Guangxi province, Southwestern China. Information of all eligible women on homemade peanut oil consumption and potential factors associated with LBW and PB was collected, and all were followed up until delivery. The effect of homemade peanut oil exposure was analyzed using multiple logistic regression models using the directed acyclic graph (DAG) approach. RESULTS Of 1611 pregnant women, 1316 (81.7%) had consumed homemade peanut oil, and the rates of LBW and PB were 9.7% and 10.0%, respectively. Increased risks of LBW and PB in women with homemade peanut oil consumption were found with aORs of 1.9 (95% CI 1.1-3.2) and 1.8 (95% CI 1.1-3.0), respectively. Women with a history of PB or LBW were 3-5 times more likely to have higher rates of LBW or PB compared with those without this type of history. The odds of PB were approximately double in those taking medicine during pregnancy. Advanced maternal age, lack of physical exercise during pregnancy, passive smoking, or pregnancy complications were also more likely to have a higher risk of LBW. CONCLUSIONS Homemade peanut oil consumption was a potential risk factor for both LBW and PB, of which health authorities who are responsible for food safety of the country should pay more attention to providing recommendation for oil consumption during pregnancy.
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Affiliation(s)
- Yanxu Zhong
- Food Safety Monitoring and Evaluation Department, Guangxi Zhuang Autonomous Region Centre for Disease Control and Prevention (Guangxi CDC), Nanning, China
- Department of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand
| | - Huan Lu
- Infectious Diseases Department, The Fourth People's Hospital of Nanning, Nanning, China
| | - Yuyan Jiang
- Food Safety Monitoring and Evaluation Department, Guangxi Zhuang Autonomous Region Centre for Disease Control and Prevention (Guangxi CDC), Nanning, China
| | - Minyan Rong
- Infectious Disease Control and Prevention Department, Guiping Center for Disease Control and Prevention (Guiping CDC), Guigang, China
| | - Xiangming Zhang
- Maternity Department, Guiping People's Hospital, Guigang, China
| | - Tippawan Liabsuetrakul
- Department of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand
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16
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Yuan R, Chen H, Yi L, Li X, Hu X, Li X, Zhang H, Zhou P, Liang C, Lin H, Zeng L, Zhuang X, Ruan Q, Chen Y, Deng Y, Liu Z, Lu J, Xiao J, Chen L, Xiao X, Li J, Li B, Li Y, He J, Sun J. Enhanced immunity against SARS-CoV-2 in returning Chinese individuals. Hum Vaccin Immunother 2024; 20:2300208. [PMID: 38191194 DOI: 10.1080/21645515.2023.2300208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 12/26/2023] [Indexed: 01/10/2024] Open
Abstract
Global COVID-19 vaccination programs effectively contained the fast spread of SARS-CoV-2. Characterizing the immunity status of returned populations will favor understanding the achievement of herd immunity and long-term management of COVID-19 in China. Individuals were recruited from 7 quarantine stations in Guangzhou, China. Blood and throat swab specimens were collected from participants, and their immunity status was determined through competitive ELISA, microneutralization assay and enzyme-linked FluoroSpot assay. A total of 272 subjects were involved in the questionnaire survey, of whom 235 (86.4%) were returning Chinese individuals and 37 (13.6%) were foreigners. Blood and throat swab specimens were collected from 108 returning Chinese individuals. Neutralizing antibodies against SARS-CoV-2 were detected in ~90% of returning Chinese individuals, either in the primary or the homologous and heterologous booster vaccination group. The serum NAb titers were significantly decreased against SARS-CoV-2 Omicron BA.5, BF.7, BQ.1 and XBB.1 compared with the prototype virus. However, memory T-cell responses, including specific IFN-γ and IL-2 responses, were not different in either group. Smoking, alcohol consumption, SARS-CoV-2 infection, COVID-19 vaccination, and the time interval between last vaccination and sampling were independent influencing factors for NAb titers against prototype SARS-CoV-2 and variants of concern. The vaccine dose was the unique common influencing factor for Omicron subvariants. Enhanced immunity against SARS-CoV-2 was established in returning Chinese individuals who were exposed to reinfection and vaccination. Domestic residents will benefit from booster homologous or heterologous COVID-19 vaccination after reopening of China, which is also useful against breakthrough infection.
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Affiliation(s)
- Runyu Yuan
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Huimin Chen
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Lina Yi
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Xinxin Li
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Ximing Hu
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- School of Public Health, Southern Medical University, Guangzhou, China
| | - Xing Li
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Huan Zhang
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Pingping Zhou
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Chumin Liang
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Huifang Lin
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Lilian Zeng
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Xue Zhuang
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - QianQian Ruan
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Yueling Chen
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Yingyin Deng
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- School of Public Health, Southern Medical University, Guangzhou, China
| | - Zhe Liu
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Jing Lu
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Jianpeng Xiao
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Liang Chen
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Xincai Xiao
- Guangzhou Chest Hospital, Guangzhou Medical University, Guangzhou, China
| | - Jing Li
- Quality Control Department, Sinovac Life Sciences Co. Ltd., Beijing, China
| | - Baisheng Li
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Yan Li
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Jianfeng He
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Jiufeng Sun
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- School of Public Health, Southern Medical University, Guangzhou, China
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
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17
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Chen G, Yao Y, Zhang Y, Zhao F. The impact of risk perception and institutional trust on COVID-19 vaccine hesitancy in China. Hum Vaccin Immunother 2024; 20:2301793. [PMID: 38282324 PMCID: PMC10826627 DOI: 10.1080/21645515.2024.2301793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 01/01/2024] [Indexed: 01/30/2024] Open
Abstract
Vaccination has become the primary means for citizens to prevent severe morbidity and mortality during the pandemic. However, vaccine hesitancy poses a major threat to global public health security. Based on the data from Chinese General Social Survey in 2021, this study aims to explore the socio-political aspects of COVID-19 vaccine hesitancy, focusing on the relationship between COVID-19 risk perceptions, institutional trust and vaccine hesitancy. Among the samples, 39.8% of the respondents exhibited COVID-19 vaccine hesitancy, 48.9% had a high awareness of the risk of COVID-19, and 74.6% presented a high level of trust in institutions. The results showed that higher risk perception and institutional trust are negatively correlated with vaccine hesitancy (p < .001). Institutional trust had no statistically significant moderating effect on the association between risk perception and vaccine hesitancy, but the role of institutional trust in influencing vaccine hesitancy is more significant at a lower level of perceptions of COVID-19 risk. Furthermore, regional variations in the factors contributing to vaccine hesitancy were demonstrated in China. These findings have important implications for developing strategies to address vaccine hesitancy.
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Affiliation(s)
- Guiwu Chen
- Department of Public Administration, School of Public Administration and Emergency Mangement, Jinan University, Guangzhou, Guangdong, China
| | - Yiyun Yao
- Department of Public Administration, School of Public Administration and Emergency Mangement, Jinan University, Guangzhou, Guangdong, China
| | - Yaowen Zhang
- The Department of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
- Master of Public Administration Education Center, School of Public Administration and Emergency Mangement, Jinan University, Guangzhou, Guangdong, China
| | - Fei Zhao
- The Department of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
- Master of Public Administration Education Center, School of Public Administration and Emergency Mangement, Jinan University, Guangzhou, Guangdong, China
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18
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Zhang L, Yang Z, Yin Y, Huang W, Yi T, Ping J, Liu L, Shen P, Sun Y, Lin H. Using big data to analyze the vaccination status of children with congenital heart disease in Yinzhou District, China. Hum Vaccin Immunother 2024; 20:2319967. [PMID: 38465660 PMCID: PMC10936686 DOI: 10.1080/21645515.2024.2319967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 02/14/2024] [Indexed: 03/12/2024] Open
Abstract
Congenital heart disease (CHD) represents a significant population warranting particular attention concerning vaccination coverage. To comprehend the vaccination status of CHD within Yinzhou District, Ningbo City, China, and to facilitate the formulation of preventive, control, and immunization strategies against vaccine-preventable diseases in children with congenital heart conditions. Using the China Yinzhou Electronic Health Record Study (CHERRY) database, we analyzed the vaccination coverage of children with CHD born between January 1, 2016 and September 20, 2021, and analyzed the influencing factors associated with the level of vaccination coverage. This study involved 762 children diagnosed with CHD at the age of 12 months, revealing that 86.74% of these children had received at least one dose of the National Immunization Program (NIP) vaccines. The coverage for non-NIP vaccines, such as the rotavirus vaccine, influenza vaccine, Influenza Haemophilus influenzae Type b (Hib) Conjugate Vaccine, 13-valent pneumococcal conjugate vaccine (PCV13), and inactivated enterovirus type 71 vaccine (EV71), stood at 27.30%, 7.74%, 63.25%, 33.76%, and 34.51%, respectively. The completion coverage for the entire vaccination schedule were 27.30%, 5.51%, 55.77%, 34.25%, and 25.59%, respectively. There was a statistically significant correlation between vaccination coverage in classification of diagnostic medical institutions and the types of diagnosed diseases. Compared to their typically developing counterparts, 12-month-old children afflicted with CHD exhibit a slightly diminished vaccination coverage, alongside a discernible inclination toward delayed vaccination. Notably, the determination to undergo vaccinations seems predominantly influenced by the classification of diagnostic medical institutions. In practical terms, proactive measures involving early diagnosis, comprehensive health assessments, and timely interventions ought to be implemented to enhance vaccination rates while prioritizing safety.
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Affiliation(s)
- Lin Zhang
- Yinzhou District Center for Disease Control and Prevention, Ningbo, Zhejiang, China
| | - Ziliang Yang
- Yinzhou District Center for Disease Control and Prevention, Ningbo, Zhejiang, China
| | - Yueqi Yin
- Yinzhou District Center for Disease Control and Prevention, Ningbo, Zhejiang, China
| | - Wenzan Huang
- Yinzhou District Center for Disease Control and Prevention, Ningbo, Zhejiang, China
| | - Tianfei Yi
- Yinzhou District Center for Disease Control and Prevention, Ningbo, Zhejiang, China
| | - Jianming Ping
- Yinzhou District Center for Disease Control and Prevention, Ningbo, Zhejiang, China
| | - Liya Liu
- Medical School, Department of Preventive Medicine, Ningbo University, Ningbo, Zhejiang, PR China
| | - Peng Shen
- Yinzhou District Center for Disease Control and Prevention, Ningbo, Zhejiang, China
| | - Yexiang Sun
- Yinzhou District Center for Disease Control and Prevention, Ningbo, Zhejiang, China
| | - Hongbo Lin
- Yinzhou District Center for Disease Control and Prevention, Ningbo, Zhejiang, China
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19
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Li X, Bai Y, Weng L, Bai Y, Gong W. COVID-19 vaccine hesitancy among the Chinese elderly: A multi-stakeholder qualitative study. Hum Vaccin Immunother 2024; 20:2315663. [PMID: 38439589 PMCID: PMC10936594 DOI: 10.1080/21645515.2024.2315663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 02/04/2024] [Indexed: 03/06/2024] Open
Abstract
The United Nations reported that the mortality risk of Corona Virus Disease 2019 (COVID-19) is five times higher in the elderly than the global average. Although the COVID-19 vaccine effectively prevents infections and reduce mortality among the elderly, vaccine hesitancy among the Chinese elderly poses a significant threat. This study, utilizing the "Confidence, Convenience and Complacency (3 Cs)" vaccine hesitancy model, aimed to explore factors contributing to vaccine hesitancy among the Chinese elderly and assess national countermeasures and potential improvement approaches. Thirteen elderly with vaccine hesitancy and eleven vaccine-related staff participated in semi-structured interviews. Thematic analysis revealed three key determinants of vaccine hesitancy among the elderly: perceived low threat of COVID-19, lack of confidence in COVID-19 vaccine, and poor accessibility to vaccination. China has implemented strategies, including advocacy through diverse channels, joint multi-sectoral promotion vaccination, and enhancing ongoing vaccination services. Recommendations from the vaccine-related staff emphasize improving vaccine awareness among the elderly, and prioritizing the vaccination environment and process. The study underscores the importance of targeted vaccination promotion programs addressing hesitation reasons to improve vaccination rates. Furthermore, existing countermeasures can serve as a foundation for enhancing vaccination strategies, including improved publicity, administration, and management approaches.
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Affiliation(s)
- Xiaoyu Li
- HER Team and Department of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Yanping Bai
- HER Team and Department of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Lijun Weng
- HER Team and Department of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Yunshan Bai
- Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Wenjie Gong
- HER Team and Department of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- Department of Psychiatry, University of Rochester, Rochester, NY, USA
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20
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Peng Y, Liu Y, Yu X, Fang J, Guo Z, Liao K, Chen P, Guo P. First report of Candida auris in Guangdong, China: clinical and microbiological characteristics of 7 episodes of candidemia. Emerg Microbes Infect 2024; 13:2300525. [PMID: 38164742 PMCID: PMC10773663 DOI: 10.1080/22221751.2023.2300525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 12/22/2023] [Indexed: 01/03/2024]
Abstract
Candida auris is an emerging multidrug-resistant fungal pathogen worldwide. To date, it has not been reported in Guangdong, China. For the first time, we reported 7 cases of C. auris candidemia from two hospitals in Guangdong. The clinical and microbiological characteristics of these cases were investigated carefully. Two geographic clades, i.e. III and I, were found popular in different hospitals by whole genome sequencing analyses. All C. auris isolates from bloodstream were resistant to fluconazole, 5 of which belonged to Clade III harbouring VF125AL mutation in the ERG11 gene. The isolates with Clade I presented Y132F mutation in the ERG11 gene as well as resistance to amphotericin B. All isolates exhibited strong biofilm-forming capacity and non-aggregative phenotype. The mean time from admission to onset of C. auris candidemia was 39.4 days (range: 12 - 80 days). Despite performing appropriate therapeutic regimen, 42.9% (3/7) of patients experienced occurrences of C. auris candidemia and colonization after the first positive bloodstream. C. auris colonization was still observed after the first C. auris candidemia for 81 days in some patient. Microbiologic eradication from bloodstream was achieved in 85.7% (6/7) of patients at discharge. In conclusion, this study offers a crucial insight into unravelling the multiple origins of C. auris in Guangdong, highlighting great challenges in clinical prevention and control.
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Affiliation(s)
- Yaqin Peng
- Department of Clinical Laboratory, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Yue Liu
- Department of Clinical Laboratory, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, People’s Republic of China
| | - Xuegao Yu
- Department of Clinical Laboratory, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Jingchun Fang
- Department of Clinical Microbiology Laboratory, Nansha Division of The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Zhaowang Guo
- Department of Clinical Laboratory, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, People’s Republic of China
| | - Kang Liao
- Department of Clinical Laboratory, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Peisong Chen
- Department of Clinical Laboratory, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Penghao Guo
- Department of Clinical Laboratory, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China
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21
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Niu Y, Li W, Xu B, Chen W, Qi X, Zhou Y, Fu P, Ma X, Guo Y. Risk factors associated with food consumption and food-handling habits for sporadic listeriosis: a case-control study in China from 2013 to 2022. Emerg Microbes Infect 2024; 13:2307520. [PMID: 38341870 PMCID: PMC10860432 DOI: 10.1080/22221751.2024.2307520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 01/16/2024] [Indexed: 02/13/2024]
Abstract
The prevalence of listeriosis in China has been increasing in recent years. Listeriosis primarily spreads through contaminated food. However, the resilient causative organism, Listeria monocytogenes, and its extended incubation period pose challenges in identifying risk factors associated with food consumption and food-handling habits. This study aimed to identify the risk factors associated with food consumption and food-handling habits for listeriosis in China. A matched case-control study (1:1 ratio) was conducted, which enrolled all eligible cases of listeriosis between 1 January 2013 and 31 December 2022 in China. Basic information and possible risk factors associated with food consumption and food-handling habits were collected. Overall, 359 patients were enrolled, including 208 perinatal and 151 non-perinatal cases. Univariate and multivariable logistic analyzes were performed for the perinatal group. For the perinatal and non-perinatal groups, ice cream and Chinese cold dishes were the high-risk foods for listeriosis (odds ratio (OR) 2.09 95% confidence interval (CI): 1.23-3.55; OR 3.17 95% CI: 1.29-7.81), respectively; consumption of leftovers and pet ownership were the high-risk food-handling habits (OR 1.92 95% CI: 1.03-3.59; OR 3.00 95% CI: 1.11-8.11), respectively. In both groups, separation of raw and cooked foods was a protective factor (OR 0.27 95% CI: 0.14-0.51; OR 0.35 95% CI: 0.14-0.89), while refrigerator cleaning reduced the infection risk by 64.94-70.41% only in the perinatal group. The identification of high-risk foods and food-handling habits for listeriosis is important for improving food safety guidelines for vulnerable populations.
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Affiliation(s)
- Yanlin Niu
- Beijing Center for Disease Prevention and Control, Beijing, People’s Republic of China
| | - Weiwei Li
- National Health Commission Key Laboratory of Food Safety Risk Assessment, Chinese Academy of Medical Science Research Unit (No.2019RU014), China National Center for Food Safety Risk Assessment, Beijing, People’s Republic of China
| | - Biyao Xu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, People’s Republic of China
| | - Wen Chen
- Sichuan Center for Disease Control and Prevention, Chengdu, People’s Republic of China
| | - Xiaojuan Qi
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, People’s Republic of China
| | - Yijing Zhou
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, People’s Republic of China
| | - Ping Fu
- National Health Commission Key Laboratory of Food Safety Risk Assessment, Chinese Academy of Medical Science Research Unit (No.2019RU014), China National Center for Food Safety Risk Assessment, Beijing, People’s Republic of China
| | - Xiaochen Ma
- Beijing Center for Disease Prevention and Control, Beijing, People’s Republic of China
| | - Yunchang Guo
- National Health Commission Key Laboratory of Food Safety Risk Assessment, Chinese Academy of Medical Science Research Unit (No.2019RU014), China National Center for Food Safety Risk Assessment, Beijing, People’s Republic of China
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22
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Xie Y, Sun P, Huang H, Wu J, Ba Y, Zhou G, Yu F, Zhang D, Zhang Y, Qie R, Hu Z, Zou K, Zhang Y. Network analysis of smoking-related sleep characteristics in Chinese adults. Ann Med 2024; 56:2332424. [PMID: 38527416 DOI: 10.1080/07853890.2024.2332424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 02/29/2024] [Indexed: 03/27/2024] Open
Abstract
The associations between multiple sleep characteristics and smoking behavior are inconsistent, and it is unclear which sleep characteristics are most crucial for tobacco prevention. This study aimed to explore the associations between smoking status/intensity and multiple sleep characteristics and to identify the potential core domain of smoking-related sleep using network analysis. Data were obtained from a survey of cancer-related risk factors among Chinese adults. Logistic regression models were used to quantify the associations between sleep characteristics and smoking status/intensity. Network analyses were employed to identify the core sleep characteristics. A total of 5,228 participants with a median age of 44 years old were included in the study. Current smoking was significantly positively associated with long nap time, difficulty falling asleep, late bedtime, getting up after 7 am, and waking up earlier than expected. There was significant positive association between current smoking and short sleep duration in young adults under 45 years old. Late bedtime and getting up after 7 am were only associated with current heavy smoking, but not current light smoking. Network analyses showed that multiple smoking-related sleep characteristics were interconnected, with difficulty falling asleep and late bedtime as central characteristics in the network. The study found that the associations between sleep characteristics and smoking varied by age and smoking intensity and highlights the potential benefits of sleep health promotion in smoking cessation, with a particular focus on difficulty falling asleep and late bedtime.
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Affiliation(s)
- Yuting Xie
- Department of Cancer Prevention and Control, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Peiyuan Sun
- Department of Cancer Prevention and Control, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Huang Huang
- Department of Cancer Prevention and Control, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jianjun Wu
- School of Public Health, Gansu University of Chinese Medicine, Lanzhou, Gansu, China
| | - Yue Ba
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Guoyu Zhou
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Fangfang Yu
- Department of Environmental Health & Environment and Health Innovation Team, School of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Daming Zhang
- Department of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Yaqun Zhang
- Department of Ecology and Environment of Gansu Province, Lanzhou, Gansu, China
| | - Ranran Qie
- Department of Cancer Prevention and Control, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhuolun Hu
- Department of Cancer Prevention and Control, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Kaiyong Zou
- Office for Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yawei Zhang
- Department of Cancer Prevention and Control, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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23
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Wang S, Ma QY, Du J, Wei TT, Zhang WX, Wang P, Zhou Y, Wei M, Gu L, Cui F, Lu QB. Detecting and genotyping high-risk human papillomavirus among male patients during 2015-2023 in Beijing, China. Emerg Microbes Infect 2024; 13:2313848. [PMID: 38318858 PMCID: PMC10866056 DOI: 10.1080/22221751.2024.2313848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 01/30/2024] [Indexed: 02/07/2024]
Abstract
Few studies focused on human papillomavirus (HPV) in male patients. This study aimed to explore the detection rate and genotyping of HPV among male patients in Beijing to provide a reference for formulating prevention strategies for HPV infection. The cross-sectional study was conducted in Beijing Chaoyang Hospital from November 2015 to March 2023. It covered male patients from the urology and dermatology departments. Fifteen high-risk HPV genotypes were detected by the multiplex real-time polymerase chain reaction method. The overall detection rate of HPV was 25.19% (1288/5114, 95% confidence interval [CI] 24.00%-26.38%), of which the single infection rate was 16.99% (869/5114, 95% CI 15.97%-18.05%) and the co-infection rate was 8.19% (419/5114, 95% CI 7.46%-8.98%). The detection rate of HPV was 40.77% (521/1278), 35.58% (58/163), 32.69% (101/309), 31.91% (60/188), 12.63% (299/2367), and 32.35% (131/405) among male patients with balanitis, warts, rash, urethritis, prostatitis, and other urinary inflammation, respectively (P < 0.001). The top five HPV genotypes were HPV-52, HPV-58, HPV-16, HPV-51, and HPV-66. After the first positive HPV test, the proportion of male patients who turned negative was 22.47% within 3 months, 26.40% within 3-6 months, 24.72% within 6-12 months, 17.98% within 12-24 months, and 8.43% more than 24 months. The detection rate of HPV was high among male patients from the urology and dermatology departments in Beijing, which should be considered to develop HPV vaccines with better prevention effects.
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Affiliation(s)
- Shuai Wang
- Department of Infectious Diseases and Clinical Microbiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Qin-Yi Ma
- Department of Laboratorial of Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, People’s Republic of China
- Center for Infectious Disease and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing, People’s Republic of China
| | - Juan Du
- Department of Laboratorial of Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, People’s Republic of China
- Center for Infectious Disease and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing, People’s Republic of China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, People’s Republic of China
| | - Ting-Ting Wei
- Department of Laboratorial of Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, People’s Republic of China
| | - Wan-Xue Zhang
- Department of Laboratorial of Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, People’s Republic of China
- Center for Infectious Disease and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing, People’s Republic of China
| | - Peng Wang
- Department of Infectious Diseases and Clinical Microbiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Yiguo Zhou
- Department of Laboratorial of Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, People’s Republic of China
- Center for Infectious Disease and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing, People’s Republic of China
| | - Ming Wei
- Department of Infectious Diseases and Clinical Microbiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Li Gu
- Department of Infectious Diseases and Clinical Microbiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Fuqiang Cui
- Department of Laboratorial of Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, People’s Republic of China
- Center for Infectious Disease and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing, People’s Republic of China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, People’s Republic of China
- Ministry of Education, Key Laboratory of Epidemiology of Major Diseases (Peking University), Beijing, People’s Republic of China
| | - Qing-Bin Lu
- Department of Laboratorial of Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, People’s Republic of China
- Center for Infectious Disease and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing, People’s Republic of China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, People’s Republic of China
- Ministry of Education, Key Laboratory of Epidemiology of Major Diseases (Peking University), Beijing, People’s Republic of China
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24
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Bing J, Du H, Guo P, Hu T, Xiao M, Lu S, Nobile CJ, Chu H, Huang G. Candida auris-associated hospitalizations and outbreaks, China, 2018-2023. Emerg Microbes Infect 2024; 13:2302843. [PMID: 38238874 PMCID: PMC10802803 DOI: 10.1080/22221751.2024.2302843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 01/03/2024] [Indexed: 01/23/2024]
Abstract
The emerging human fungal pathogen Candida auris has become a serious threat to public health. This pathogen has spread to 10 provinces in China as of December 2023. Here we describe 312 C. auris-associated hospitalizations and 4 outbreaks in healthcare settings in China from 2018 to 2023. Three genetic clades of C. auris have been identified during this period. Molecular epidemiological analyses indicate that C. auris has been introduced and local transmission has occurred in multiple instances in China. Most C. auris isolated from China (98.7%) exhibited resistance to fluconazole, while only a small subset of strains were resistant to amphotericin B (4.2%) and caspofungin (2.2%).
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Affiliation(s)
- Jian Bing
- Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
- Department of Infectious Diseases, Huashan Hospital, Shanghai Institute of Infectious Disease and Biosecurity, State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People’s Republic of China
| | - Han Du
- Department of Infectious Diseases, Huashan Hospital, Shanghai Institute of Infectious Disease and Biosecurity, State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People’s Republic of China
| | - Penghao Guo
- Department of Clinical Laboratory, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Tianren Hu
- Department of Infectious Diseases, Huashan Hospital, Shanghai Institute of Infectious Disease and Biosecurity, State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People’s Republic of China
| | - Meng Xiao
- Department of Laboratory Medicine, Sate Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
| | - Sha Lu
- Department of Dermatology and Venereology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Clarissa J. Nobile
- Department of Molecular and Cell Biology, University of California, Merced, Merced, USA
- Health Sciences Research Institute, University of California, Merced, Merced, USA
| | - Haiqing Chu
- Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
- Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
| | - Guanghua Huang
- Department of Infectious Diseases, Huashan Hospital, Shanghai Institute of Infectious Disease and Biosecurity, State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People’s Republic of China
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Wang T, Zhou Z, Ren L, Shen Z, Li J, Zhang L. Prediction of the risk of 3-year chronic kidney disease among elderly people: a community-based cohort study. Ren Fail 2024; 46:2303205. [PMID: 38284171 PMCID: PMC10826789 DOI: 10.1080/0886022x.2024.2303205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 01/01/2024] [Indexed: 01/30/2024] Open
Abstract
OBJECTIVE We conducted a community-based cohort study to predict the 3-year occurrence of chronic kidney disease (CKD) among population aged ≥60 years. METHOD Participants were selected from two communities through randomized cluster sampling in Jiading District of Shanghai, China. The two communities were randomly divided into a development cohort (n = 12012) and a validation cohort (n = 6248) with a 3-year follow-up. Logistic regression analysis was used to determine the independent predictors. A nomogram was established to predict the occurrence of CKD within 3 years. The area under the curve (AUC), the calibration curve and decision curve analysis (DCA) curve were used to evaluate the model. RESULT At baseline, participants in development cohort and validation cohort were with the mean age of 68.24 ± 5.87 and 67.68 ± 5.26 years old, respectively. During 3 years, 1516 (12.6%) and 544 (8.9%) new cases developed CKD in the development and validation cohorts, respectively. Nine variables (age, systolic blood pressure, body mass index, exercise, previous hypertension, triglycerides, fasting plasma glucose, glycated hemoglobin and serum creatinine) were included in the prediction model. The AUC value was 0.742 [95% confidence interval (CI), 0.728-0.756] in the development cohort and 0.881(95%CI, 0.867-0.895) in the validation cohort, respectively. The calibration curves and DCA curves demonstrate an effective predictive model. CONCLUSION Our nomogram model is a simple, reasonable and reliable tool for predicting the risk of 3-year CKD in community-dwelling elderly people, which is helpful for timely intervention and reducing the incidence of CKD.
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Affiliation(s)
- Tao Wang
- Clinical Center for Intelligent Rehabilitation Research, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Zhitong Zhou
- Clinical Center for Intelligent Rehabilitation Research, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Longbing Ren
- Clinical Center for Intelligent Rehabilitation Research, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Zhiping Shen
- Community Health Service Center of Anting Town Affiliated to Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Jue Li
- Clinical Center for Intelligent Rehabilitation Research, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University School of Medicine, Tongji University, Shanghai, China
- Department of Epidemiology, Tongji Hospital Affiliated to Tongji University School of Medicine, Shanghai, China
| | - Lijuan Zhang
- Clinical Center for Intelligent Rehabilitation Research, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University School of Medicine, Tongji University, Shanghai, China
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Li YF, Kong XL, Song WM, Li YM, Li YY, Fang WW, Yang JY, Yu CB, Li HC, Liu Y. Genomic analysis of lineage-specific transmission of multidrug resistance tuberculosis in China. Emerg Microbes Infect 2024; 13:2294858. [PMID: 38126135 PMCID: PMC10866052 DOI: 10.1080/22221751.2023.2294858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 12/11/2023] [Indexed: 12/23/2023]
Abstract
OBJECTIVES We investigated the genetic diversities and lineage-specific transmission dynamics of multidrug-resistant tuberculosis (MDR-TB), with the goal of determining the potential factors driving the MDR epidemics in China. METHODS We curated a large nationwide Mycobacterium tuberculosis (M. tuberculosis) whole genome sequence data set, including 1313 MDR strains. We reconstructed the phylogeny and mapped the transmission networks of MDR-TB across China using Bayesian inference. To identify drug-resistance variants linked to enhanced transmissibility, we employed ordinary least-squares (OLS) regression analysis. RESULT The majority of MDR-TB strains in China belong to lineage 2.2.1. Transmission chain analysis has indicated that the repeated and frequent transmission of L2.2.1 plays a central role in the establishment of MDR epidemic in China, but no occurrence of a large predominant MDR outbreak was detected. Using OLS regression, the most common single nucleotide polymorphisms (SNPs) associated with resistance to isoniazid (katG_p.Ser315Thr and katG_p.Ser315Asn) and rifampicin (rpoB_p.Ser450Leu, rpoB_p.His445Tyr, rpoB_p.His445Arg, rpoB_p.His445Asp, and rpoB_p.His445Asn) were more likely to be found in L2 clustered strains. Several putative compensatory mutations in rpoA, rpoC, and katG were significantly associated with clustering. The eastern, central, and southern regions of China had a high level of connectivity for the migration of L2 MDR strains throughout the country. The skyline plot showed distinct population size expansion dynamics for MDR-TB lineages in China. CONCLUSION MDR-TB epidemic in China is predominantly driven by the spread of highly transmissible Beijing strains. A range of drug-resistance mutations of L2 MDR-TB strains displayed minimal fitness costs and may facilitate their transmission.
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Affiliation(s)
- Yi-fan Li
- Department of Respiratory and Critical Care Medicine, The Third Affiliated Hospital of Shandong First Medical University, Jinan, People’s Republic of China
| | - Xiang-long Kong
- Shandong Artificial Intelligence Institute Qilu University of Technology (Shandong Academy of Sciences), Jinan, People’s Republic of China
| | - Wan-mei Song
- Department of Respiratory Medicine, Ruijin Hospital Affiliated to Shanghai Jiaotong University, Shanghai, People’s Republic of China
| | - Ya-meng Li
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People’s Republic of China
- Department of Respiratory and Critical Care Medicine, Shandong University of Traditional Chinese Medicine, Jinan, People’s Republic of China
| | - Ying-Ying Li
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People’s Republic of China
- Department of Respiratory and Critical Care Medicine, Shandong University of Traditional Chinese Medicine, Jinan, People’s Republic of China
| | - Wei-wei Fang
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People’s Republic of China
| | - Jie-yu Yang
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People’s Republic of China
| | - Chun-Bao Yu
- Center for Integrative and Translational Medicine, Shandong Public Health Clinical Center, Jinan, People’s Republic of China
| | - Huai-chen Li
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People’s Republic of China
| | - Yao Liu
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People’s Republic of China
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Huang C, Yu L, Xu Y, Huang J, Qin Y, Guo X, Zeng Y, Qin Y, Ouyang K, Wei Z, Huang W, García-Sastre A, Chen Y. Long-term co-circulation of multiple influenza A viruses in pigs, Guangxi, China. Emerg Microbes Infect 2024; 13:2337673. [PMID: 38572517 PMCID: PMC11005871 DOI: 10.1080/22221751.2024.2337673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 03/27/2024] [Indexed: 04/05/2024]
Abstract
Influenza A viruses (IAVs) pose a persistent potential threat to human health because of the spillover from avian and swine infections. Extensive surveillance was performed in 12 cities of Guangxi, China, during 2018 and 2023. A total of 2540 samples (including 2353 nasal swabs and 187 lung tissues) were collected from 18 pig farms with outbreaks of respiratory disease. From these, 192 IAV-positive samples and 19 genomic sequences were obtained. We found that the H1 and H3 swine influenza A viruses (swIAVs) of multiple lineages and genotypes have continued to co-circulate during that time in this region. Genomic analysis revealed the Eurasian avian-like H1N1 swIAVs (G4) still remained predominant in pig populations. Strikingly, the novel multiple H3N2 genotypes were found to have been generated through the repeated introduction of the early H3N2 North American triple reassortant viruses (TR H3N2 lineage) that emerged in USA and Canada in 1998 and 2005, respectively. Notably, when the matrix gene segment derived from the H9N2 avian influenza virus was introduced into endemic swIAVs, this produced a novel quadruple reassortant H1N2 swIAV that could pose a potential risk for zoonotic infection.
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Affiliation(s)
- Chongqiang Huang
- Laboratory of Animal Infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, People’s Republic of China
- Guangxi Zhuang Autonomous Region Engineering Research Center of Veterinary Biologics, Nanning, People’s Republic of China
- Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Nanning, People’s Republic of China
| | - Liangzheng Yu
- Laboratory of Animal Infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, People’s Republic of China
| | - Yi Xu
- Laboratory of Animal Infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, People’s Republic of China
- Guangxi Zhuang Autonomous Region Engineering Research Center of Veterinary Biologics, Nanning, People’s Republic of China
- Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Nanning, People’s Republic of China
| | - Jiamo Huang
- Laboratory of Animal Infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, People’s Republic of China
- Guangxi Zhuang Autonomous Region Engineering Research Center of Veterinary Biologics, Nanning, People’s Republic of China
- Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Nanning, People’s Republic of China
| | - Yibin Qin
- Laboratory of Animal Infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, People’s Republic of China
- Guangxi Institute of Veterinary Medicine, Nanning, People’s Republic of China
| | - Xuan Guo
- Laboratory of Animal Infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, People’s Republic of China
- Guangxi Nongken Yongxin Animal Husbandry Group Co. Ltd., Nanning, People’s Republic of China
| | - Yongfang Zeng
- Nanning Zhufulai Animal Health Management Co. Ltd., Nanning, People’s Republic of China
| | - Yifeng Qin
- Laboratory of Animal Infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, People’s Republic of China
- Guangxi Zhuang Autonomous Region Engineering Research Center of Veterinary Biologics, Nanning, People’s Republic of China
- Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Nanning, People’s Republic of China
| | - Kang Ouyang
- Laboratory of Animal Infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, People’s Republic of China
- Guangxi Zhuang Autonomous Region Engineering Research Center of Veterinary Biologics, Nanning, People’s Republic of China
- Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Nanning, People’s Republic of China
| | - Zuzhang Wei
- Laboratory of Animal Infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, People’s Republic of China
- Guangxi Zhuang Autonomous Region Engineering Research Center of Veterinary Biologics, Nanning, People’s Republic of China
- Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Nanning, People’s Republic of China
| | - Weijian Huang
- Laboratory of Animal Infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, People’s Republic of China
- Guangxi Zhuang Autonomous Region Engineering Research Center of Veterinary Biologics, Nanning, People’s Republic of China
- Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Nanning, People’s Republic of China
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ying Chen
- Laboratory of Animal Infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, People’s Republic of China
- Guangxi Zhuang Autonomous Region Engineering Research Center of Veterinary Biologics, Nanning, People’s Republic of China
- Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Nanning, People’s Republic of China
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Sun Y, Zhang D, Liu H, Ruan C, Dou X, Ren Z, Ge Z, Du Z, Jin H, Li D, Xue H, Liu W, Chen Z, Wang Q. The first reported cases of severe fever with thrombocytopenia syndrome virus from domestic sick camel to humans in China. Emerg Microbes Infect 2024; 13:2309990. [PMID: 38269573 PMCID: PMC10860415 DOI: 10.1080/22221751.2024.2309990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 01/19/2024] [Indexed: 01/26/2024]
Abstract
Severe fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne disease with an increasing annual incidence rate. In this case report, we presented two patients infected with the SFTS virus, suggesting a potential direct transmission route from camels to humans through blood contact. Both patients developed symptoms after engaging in the slaughtering of one sick camel, while their family members living in the same environment or co-diners remained unaffected. Subsequent detection revealed a high viral load of SFTS virus, reaching 1010 viral RNA copies/ml, in the sample obtained from the sick camel. Metagenomic sequencing did not identify any other pathogens. The SFTS virus was successfully isolated from both patient and camel samples. The complete nucleotide sequences obtained from the infected patients demonstrated a remarkable 100% similarity to those found in the camel, and genetic evolution analysis classified the virus as genotype A. Additionally, partial sequences of the SFTS virus were identified in ticks captured from the camel rearing environment, however, these sequences showed only 95.9% similarity to those found in camel and humans. Furthermore, immunoglobulin M and immunoglobulin G antibodies were detected in serum samples collected from the patient. Our findings provide evidence that camel may serve as a competent reservoir for transmitting the SFTS virus to humans. Further in vitro investigations into SFTS virus infections in large animals are warranted to understand their role in viral maintenance and transmission.
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Affiliation(s)
- Yulan Sun
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, People’s Republic of China
| | - Daitao Zhang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, People’s Republic of China
| | - Hui Liu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Chunlai Ruan
- Beijing Pinggu District Center for Disease Prevention and Control, Beijing, People’s Republic of China
| | - Xiangfeng Dou
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, People’s Republic of China
| | - Zhenyong Ren
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, People’s Republic of China
| | - Ziruo Ge
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Zhizhong Du
- Beijing Pinggu District Center for Disease Prevention and Control, Beijing, People’s Republic of China
| | - Haoyuan Jin
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, People’s Republic of China
| | - Dan Li
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, People’s Republic of China
| | - Hui Xue
- Beijing Pinggu District Center for Disease Prevention and Control, Beijing, People’s Republic of China
| | - Wei Liu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People’s Republic of China
| | - Zhihai Chen
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Quanyi Wang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, People’s Republic of China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, People’s Republic of China
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Gao Q, Liu Q, Zhang G, Lu Y, Li Y, Tang M, Liu S, Zhang H, Hu X. Identification of pathogen composition in a Chinese population with iatrogenic and native vertebral osteomyelitis by using mNGS. Ann Med 2024; 56:2337738. [PMID: 38590185 PMCID: PMC11005868 DOI: 10.1080/07853890.2024.2337738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 03/19/2024] [Indexed: 04/10/2024] Open
Abstract
BACKGROUND Early antimicrobial therapy is crucial regarding the prognosis of vertebral osteomyelitis, but early pathogen diagnosis remains challenging. OBJECTIVE In this study, we aimed to differentiate the types of pathogens in iatrogenic vertebral osteomyelitis (IVO) and native vertebral osteomyelitis (NVO) to guide early antibiotic treatment. METHODS A total of 145 patients, who had confirmed spinal infection and underwent metagenomic next-generation sequencing (mNGS) testing, were included, with 114 in the NVO group and 31 in the IVO group. Using mNGS, we detected and classified 53 pathogens in the 31 patients in the IVO group and 169 pathogens in the 114 patients in the NVO group. To further distinguish IVO from NVO, we employed machine learning algorithms to select serum biomarkers and developed a nomogram model. RESULTS The results revealed that the proportion of the Actinobacteria phylum in the NVO group was approximately 28.40%, which was significantly higher than the 15.09% in the IVO group. Conversely, the proportion of the Firmicutes phylum (39.62%) in the IVO group was markedly increased compared to the 21.30% in the NVO group. Further genus-level classification demonstrated that Staphylococcus was the most common pathogen in the IVO group, whereas Mycobacterium was predominant in the NVO group. Through LASSO regression and random forest algorithms, we identified 5 serum biomarkers including percentage of basophils (BASO%), percentage of monocytes (Mono%), platelet volume (PCT), globulin (G), activated partial thromboplastin time (APTT) for distinguishing IVO from NVO. Based on these biomarkers, we established a nomogram model capable of accurately discriminating between the two conditions. CONCLUSION The results of this study hold promise in providing valuable guidance to clinical practitioners for the differential diagnosis and early antimicrobial treatment of vertebral osteomyelitis.
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Affiliation(s)
- Qile Gao
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Qianfei Liu
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Guang Zhang
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Yingqing Lu
- Department of Anesthesiology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yanbing Li
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Department of Clinical Laboratory, Xiangya Hospital, Central South University, Changsha, China
| | - Mingxing Tang
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Shaohua Liu
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Hongqi Zhang
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Xiaojiang Hu
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
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Kane Y, Tendu A, Li R, Chen Y, Mastriani E, Lan J, Catherine Hughes A, Berthet N, Wong G. Viral diversity in wild and urban rodents of Yunnan Province, China. Emerg Microbes Infect 2024; 13:2290842. [PMID: 38047395 PMCID: PMC10829829 DOI: 10.1080/22221751.2023.2290842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Accepted: 11/29/2023] [Indexed: 12/05/2023]
Abstract
Rodents represent over 40% of known mammal species and are found in various terrestrial habitats. They are significant reservoirs for zoonotic viruses, including harmful pathogens such as arenaviruses and hantaviruses, yet knowledge of their hosts and distributions is limited. Therefore, characterizing the virome profile in these animals is invaluable for outbreak preparedness, especially in potential hotspots of mammal diversity. This study included 681 organs from 124 rodents and one Chinese tree shrew collected from Yunnan Province, China, during 2020-2021. Metagenomic analysis revealed unique features of mammalian viruses in rodent organs across habitats with varying human disturbances. R. tanezumi in locations with high anthropogenic disturbance exhibited the highest mammal viral diversity, with spleen and lung samples showing the highest diversities for these viruses at the organ level. Mammal viral diversity for both commensal and non-commensal rats was identified to positively correlate with landscape disturbance. Some virus families were associated with particular organs or host species, suggesting tropism for these pathogens. Notably, known and novel viral species that are likely to infect humans were identified. R. tanezumi was identified as a reservoir and carrier for various zoonotic viruses, including porcine bocavirus, hantavirus, cardiovirus, and lyssavirus. These findings highlight the influence of rodent community composition and anthropogenic activities on diverse virome profiles, with R. tanezumi as an important reservoir for zoonotic viruses.
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Affiliation(s)
- Yakhouba Kane
- Viral Hemorrhagic Fevers Research Unit, CAS Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, People’s Republic of China
- University of Chinese Academy of Sciences, Beijing, People’s Republic of China
| | - Alexander Tendu
- Viral Hemorrhagic Fevers Research Unit, CAS Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, People’s Republic of China
- University of Chinese Academy of Sciences, Beijing, People’s Republic of China
| | - Ruiya Li
- Viral Hemorrhagic Fevers Research Unit, CAS Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, People’s Republic of China
- University of Chinese Academy of Sciences, Beijing, People’s Republic of China
| | - Yanhua Chen
- Viral Hemorrhagic Fevers Research Unit, CAS Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, People’s Republic of China
- Landscape Ecology Group, Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, People’s Republic of China
| | - Emilio Mastriani
- Centre for Microbes, Development, and Health, and Unit of Discovery and Molecular Characterization of Pathogens, CAS Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Jiaming Lan
- Viral Hemorrhagic Fevers Research Unit, CAS Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Alice Catherine Hughes
- Landscape Ecology Group, Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, People’s Republic of China
- School of Biological Sciences, University of Hong Kong, Hong Kong SAR, People’s Republic of China
| | - Nicolas Berthet
- Centre for Microbes, Development, and Health, and Unit of Discovery and Molecular Characterization of Pathogens, CAS Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, People’s Republic of China
- Institut Pasteur, Unité Environnement et Risque Infectieux, Cellule d’Intervention Biologique d’Urgence, Paris, France
- Institut Pasteur, Université Paris-cite, Unité Epidémiologie et Physiopathologie des Virus Oncogènes, Paris, France
| | - Gary Wong
- Viral Hemorrhagic Fevers Research Unit, CAS Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, People’s Republic of China
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Liu Y, Teng J, Mei J, Chen C, Xu QQ, Zhou C, Deng KL, Wang HW. Analysis of airway structural parameters in Han Chinese adults: a prospective cross-sectional study. Ann Med 2024; 56:2316258. [PMID: 38364214 PMCID: PMC10878341 DOI: 10.1080/07853890.2024.2316258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 01/13/2024] [Indexed: 02/18/2024] Open
Abstract
INTRODUCTION Establishing reference ranges for central airway parameters and exploring their influencing factors in Han Chinese non-smoking adults. METHODS This prospective cross-sectional study was conducted on Han Chinese non-smoking adults who underwent chest CT scans at the Tongzhou Campus of Dongzhimen Hospital Affiliated with the Beijing University of Chinese Medicine between September 2022 and November 2022. The SYNAPSE 3D image analysis software was utilized, enabling the extraction of critical parameters such as central airway length, airway wall thickness (AWT), airway lumen area (ALA), and subcarinal angle (SCA). Pearson's correlation coefficient analysis and multiple linear regression analysis methods were employed to evaluate the relationship between central airway parameters and age, sex, weight, and height. RESULTS The study encompassed 888 Han Chinese non-smoking adults, comprising 456 females and 432 males. Significant sex differences were noted in central airway length, AWT, and ALA, with measurements in males exceeding those in females (p < 0.01) with no significant difference in SCA. Correlation analyses unveiled relationships between central airway parameters and age, sex, weight, and height. During multiple linear regression analyses, no conclusive evidence emerged to demonstrate the independent or combined explanatory or predictive capacity of the aforementioned variables for central airway length and SCA. Although sex has a significant impact on AWT and ALA, its capability in explanation or prediction remains limited. The conclusions drawn from the primary analysis receive reinforcement from the outcomes of sensitivity analyses. CONCLUSION Establishing the distribution range of central airway parameters in non-smoking Han Chinese adults. It observed significant sex differences in these parameters, except for the SCA. However, the study found that the predictive or explanatory power of age, sex, weight, and height for central airway parameters was either limited or non-significant.
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Affiliation(s)
- Yan Liu
- Respiratory Disease Center, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Jun Teng
- Respiratory Disease Center, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Beijing University of Traditional Chinese Medicine, Beijing, China
| | - Jian Mei
- Department of Radiology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Chao Chen
- Respiratory Disease Center, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Qian-qian Xu
- Respiratory Disease Center, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Cui Zhou
- Respiratory Disease Center, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Quality Control Office, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Kang-li Deng
- Respiratory Disease Center, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Hong-wu Wang
- Respiratory Disease Center, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
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Dong W, Da Roza CC, Cheng D, Zhang D, Xiang Y, Seto WK, Wong WCW. Development and validation of HBV surveillance models using big data and machine learning. Ann Med 2024; 56:2314237. [PMID: 38340309 PMCID: PMC10860422 DOI: 10.1080/07853890.2024.2314237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 01/30/2024] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND The construction of a robust healthcare information system is fundamental to enhancing countries' capabilities in the surveillance and control of hepatitis B virus (HBV). Making use of China's rapidly expanding primary healthcare system, this innovative approach using big data and machine learning (ML) could help towards the World Health Organization's (WHO) HBV infection elimination goals of reaching 90% diagnosis and treatment rates by 2030. We aimed to develop and validate HBV detection models using routine clinical data to improve the detection of HBV and support the development of effective interventions to mitigate the impact of this disease in China. METHODS Relevant data records extracted from the Family Medicine Clinic of the University of Hong Kong-Shenzhen Hospital's Hospital Information System were structuralized using state-of-the-art Natural Language Processing techniques. Several ML models have been used to develop HBV risk assessment models. The performance of the ML model was then interpreted using the Shapley value (SHAP) and validated using cohort data randomly divided at a ratio of 2:1 using a five-fold cross-validation framework. RESULTS The patterns of physical complaints of patients with and without HBV infection were identified by processing 158,988 clinic attendance records. After removing cases without any clinical parameters from the derivation sample (n = 105,992), 27,392 cases were analysed using six modelling methods. A simplified model for HBV using patients' physical complaints and parameters was developed with good discrimination (AUC = 0.78) and calibration (goodness of fit test p-value >0.05). CONCLUSIONS Suspected case detection models of HBV, showing potential for clinical deployment, have been developed to improve HBV surveillance in primary care setting in China. (Word count: 264).
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Affiliation(s)
- Weinan Dong
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Cecilia Clara Da Roza
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Dandan Cheng
- Department of Family Medicine and Primary Care, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Dahao Zhang
- Department of Family Medicine and Primary Care, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Yuling Xiang
- Department of Family Medicine and Primary Care, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Wai Kay Seto
- Department of Medicine and State Key Laboratory of Liver Research, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Department of Medicine, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China
| | - William C. W. Wong
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Department of Family Medicine and Primary Care, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China
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Wu Q, Ni X, Chen J, Cheng D, Zhang M, Xie K, Li X, Wen J. Similar incidence of graft glomerulonephritis in recipients with definitively diagnosed glomerulonephritis and those with unknown etiology: a retrospective observational study. Ren Fail 2024; 46:2325644. [PMID: 38445391 PMCID: PMC10919306 DOI: 10.1080/0886022x.2024.2325644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 02/26/2024] [Indexed: 03/07/2024] Open
Abstract
OBJECTIVE In China, most of the patients who underwent kidney transplants have unknown causes of end-stage renal disease (uESRD). However, little is known regarding the incidence of graft glomerulonephritis (GN) and graft survival in kidney transplant recipients (KTRs) with uESRD. METHODS In this retrospective cohort study, 473 of the 565 KTRs who underwent kidney transplantation (KTx) from 2015 to 2020 were included. We mainly observed the occurrence of graft GN between uESRD group and definitively diagnosed GN group, and repeatedly compared after propensity score matching (PSM). RESULTS The median follow-up was 50 months in 473 KTRs, and about 75% of KTRs of native kidney disease of unknown etiology. The total cumulative incidence of graft GN was 17%, and no difference was observed between the definitively diagnosed GN group and the uESRD group (p = 0.76). Further, PSM analysis also showed no difference in the incidence of graft GN between the 2 groups. Multivariable analysis disclosed males (p = 0.001), younger age (p = 0.03), and anti-endothelial cell anti-body (AECA) positive pre-KTx (p = 0.001) were independent risk factors for graft GN. CONCLUSIONS The incidence of graft GN was similar between uESRD and definitively diagnosed GN group. The allograft survival was also similar between two groups.
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Affiliation(s)
- Qianqian Wu
- National Clinical Research Center of Kidney Diseases, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, PR China
| | - Xuefeng Ni
- National Clinical Research Center of Kidney Diseases, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, PR China
| | - Jingsong Chen
- National Clinical Research Center of Kidney Diseases, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, PR China
| | - Dongrui Cheng
- National Clinical Research Center of Kidney Diseases, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, PR China
| | - Mingchao Zhang
- National Clinical Research Center of Kidney Diseases, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, PR China
| | - Kenan Xie
- National Clinical Research Center of Kidney Diseases, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, PR China
| | - Xue Li
- National Clinical Research Center of Kidney Diseases, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, PR China
| | - Jiqiu Wen
- National Clinical Research Center of Kidney Diseases, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, PR China
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Su Y, Feng Y, Lin X, Ma C, Wei J. Genetic association study of TERT gene variants with chronic kidney disease susceptibility in the Chinese population. Ren Fail 2024; 46:2300725. [PMID: 38197421 PMCID: PMC10783823 DOI: 10.1080/0886022x.2023.2300725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 12/26/2023] [Indexed: 01/11/2024] Open
Abstract
The incidence and mortality of chronic kidney disease (CKD) are increasing globally. Studies have demonstrated the significance of genetic risk factors in the progression of CKD. Telomerase reverse transcriptase (TERT) may be implicated in the development of CKD. This study aimed to investigate the correlation between TERT gene variants and susceptibility to CKD in the Chinese population. A total of 507 patients with CKD and 510 healthy controls were recruited for this case-control study. Four candidate loci were identified using the MassARRAY platform. Logistic regression analysis was employed to assess the association between TERT gene variants and the risk of CKD. The false positive reporting probability (FPRP) method was utilized to evaluate the validity of statistically significant associations. The multifactorial dimensionality reduction (MDR) method was used to evaluate the interaction between SNPs and the risk of CKD. Furthermore, discrepancies in the clinical features of subjects with diverse genotypes were evaluated using one-way analysis of variance (ANOVA). Our findings revealed a correlation between rs2735940 and rs4635969 and an increased risk of CKD. Stratification analysis indicated that rs4635969 was related to an increased risk of CKD in different subgroups (age ≤ 50 years and male). MDR analysis indicated that the two-site model (rs2735940 and rs4635969) was the best prediction model. Furthermore, the rs2735940 GG genotype was found to be linked to an increased level of microalbuminuria (MAU) in patients with CKD. Our study is the first to reveal a connection between TERT gene variants and susceptibility to CKD, providing new insights into the field of nephrology.
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Affiliation(s)
- Yan Su
- Department of Nephrology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, PRChina
| | - Yuan Feng
- Department of Immunology, the Affiliated Children’s Hospital of Xi’an Jiaotong University, Xi’an, PR China
| | - Xinran Lin
- Department of Nephrology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, PRChina
- Department of Nephrology, the First Affiliated Hospital of Hainan Medical College, Haikou, PR China
| | - Chunyang Ma
- Department of Neurosurgery, the First Affiliated Hospital of Hainan Medical College, Haikou, PR China
| | - Jiali Wei
- Department of Nephrology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, PRChina
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Li M, Zhang Y, Wu Z, Jiang Y, Sun R, Yang J, Li J, Lin H, Zhang R, Jiang Q, Wang L, Wu X, Yu F, Yuan J, Yang C, Shen X. Transmission of fluoroquinolones resistance among multidrug-resistant tuberculosis in Shanghai, China: a retrospective population-based genomic epidemiology study. Emerg Microbes Infect 2024; 13:2302837. [PMID: 38205528 PMCID: PMC10810664 DOI: 10.1080/22221751.2024.2302837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 01/03/2024] [Indexed: 01/12/2024]
Abstract
Fluoroquinolones (FQ) are essential for the treatment of multidrug-resistant tuberculosis (MDR-TB). The FQ resistance (FQ-R) rate in MDR-TB in China and its risk factors remain poorly understood. We conducted a retrospective, population-based genomic epidemiology study of MDR-TB patients in Shanghai, China, from 2009 to 2018. A genomic cluster was defined as strains with genetic distances ≤ 12 single nucleotide polymorphisms. The transmitted FQ-R was defined as the same FQ resistance-conferring mutations shared by ≥ 2 strains in a genomic cluster. We used multivariable logistic regression analysis to identify the risk factors for drug resistance. Among the total 850 MDR-TB patients included in the study, 72.8% (619/850) were male, the median age was 39 (interquartile range 28, 55) years, 52.7% (448/850) were migrants, and 34.5% (293/850) were previously treated patients. Most of the MDR-TB strains belong to the Beijing lineage (91.7%, 779/850). Overall, the genotypic resistance rate of FQ was 34.7% (295/850), and 47.1% (139/295) FQ-R patients were in genomic clusters, of which 98 (33.2%, 98/295) were presumed as transmitted FQ-R. Patients with treatment-naïve (aOR = 1.84; 95% CI: 1.09, 3.16), diagnosed in a district-level hospital (aOR = 2.69; 95% CI: 1.56, 4.75), and streptomycin resistance (aOR = 3.69; 95% CI: 1.65, 9.42) were significantly associated with the transmission of FQ-R. In summary, the prevalence of FQ-R among MDR-TB patients was high in Shanghai, and at least one-third were transmitted. Enforced interventions including surveillance of FQ drug susceptibility testing and screening among MDR-TB before initiation of treatment were urgently needed.
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Affiliation(s)
- Minjuan Li
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Guangdong, People’s Republic of China
| | - Yangyi Zhang
- Division of TB and HIV/AIDS Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, People’s Republic of China
- Shanghai Institutes of Preventive Medicine, Shanghai, People’s Republic of China
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, People’s Republic of China
| | - Zheyuan Wu
- Division of TB and HIV/AIDS Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, People’s Republic of China
- Shanghai Institutes of Preventive Medicine, Shanghai, People’s Republic of China
| | - Yuan Jiang
- Division of TB and HIV/AIDS Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, People’s Republic of China
- Shanghai Institutes of Preventive Medicine, Shanghai, People’s Republic of China
| | - Ruoyao Sun
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Guangdong, People’s Republic of China
| | - Jinghui Yang
- Department of Clinical Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
| | - Jing Li
- Division of TB and HIV/AIDS Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, People’s Republic of China
- Shanghai Institutes of Preventive Medicine, Shanghai, People’s Republic of China
| | - Honghua Lin
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Guangdong, People’s Republic of China
| | - Rui Zhang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Guangdong, People’s Republic of China
| | - Qi Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, People’s Republic of China
| | - Lili Wang
- Division of TB and HIV/AIDS Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, People’s Republic of China
- Shanghai Institutes of Preventive Medicine, Shanghai, People’s Republic of China
| | - Xiaocui Wu
- Department of Clinical Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
| | - Fangyou Yu
- Department of Clinical Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
| | - Jianhui Yuan
- Nanshan District Center for Disease Control and Prevention, Shenzhen, People’s Republic of China
| | - Chongguang Yang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Guangdong, People’s Republic of China
- Nanshan District Center for Disease Control and Prevention, Shenzhen, People’s Republic of China
| | - Xin Shen
- Division of TB and HIV/AIDS Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, People’s Republic of China
- Shanghai Institutes of Preventive Medicine, Shanghai, People’s Republic of China
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Chai X, Liu S, Liu C, Bai J, Meng J, Tian H, Han X, Han G, Xu X, Li Q. Surveillance of SARS-CoV-2 in wastewater by quantitative PCR and digital PCR: a case study in Shijiazhuang city, Hebei province, China. Emerg Microbes Infect 2024; 13:2324502. [PMID: 38465692 DOI: 10.1080/22221751.2024.2324502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 02/22/2024] [Indexed: 03/12/2024]
Abstract
In this study, we reported the first long-term monitoring of SARS-CoV-2 in wastewater in Mainland China from November 2021 to October 2023. The city of Shijiazhuang was employed for this case study. We developed a triple reverse transcription droplet digital PCR (RT-ddPCR) method using triple primer-probes for simultaneous detection of the N1 gene, E gene, and Pepper mild mottle virus (PMMoV) to achieve accurate quantification of SARS-CoV-2 RNA in wastewater. Both the RT-ddPCR method and the commercial multiplex reverse transcription quantitative polymerase chain reaction (RT-qPCR) method were implemented for the detection of SARS-CoV-2 in wastewater in Shijiazhuang City over a 24-month period. Results showed that SARS-CoV-2 was detected for the first time in the wastewater of Shijiazhuang City on 10 November 2022. The peak of COVID-19 cases occurred in the middle of December 2022, when the concentration of SARS-CoV-2 in the wastewater was highest. The trend of virus concentration increases and decreases forming a "long-tailed" shape in the COVID-19 outbreak and recession cycle. The results indicated that both multiplex RT-ddPCR and RT-qPCR are effective in detecting SARS-CoV-2 in wastewater, but RT-ddPCR is capable of detecting low concentrations of SARS-CoV-2 in wastewater which is more efficient. The SARS-CoV-2 abundance in wastewater is correlated to clinical data, outlining the public health utility of this work.HighlightsFirst long-term monitoring of SARS-CoV-2 in wastewater in Mainland ChinaCOVID-19 outbreak was tracked in Shijiazhuang City from outbreak to containmentWastewater was monitored simultaneously using RT-ddPCR and RT-qPCR methodsTriple primer-probe RT-ddPCR detects N1 and E genes of SARS-CoV-2 and PMMoV.
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Affiliation(s)
- Xiaoru Chai
- School of Public Health, Hebei Medical University, Shijiazhuang, People's Republic of China
| | - Shiyou Liu
- Hebei Key Laboratory of Pathogens and Epidemiology of Infectious Diseases, Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, People's Republic of China
| | - Chao Liu
- Shijiazhuang Qiaodong Sewage Treatment Plant, Shijiazhuang, People's Republic of China
| | - Jiaxuan Bai
- School of Public Health, Hebei Medical University, Shijiazhuang, People's Republic of China
| | - Juntao Meng
- School of Public Health, Hebei Medical University, Shijiazhuang, People's Republic of China
| | - Hong Tian
- School of Public Health, Hebei Medical University, Shijiazhuang, People's Republic of China
| | - Xu Han
- Hebei Key Laboratory of Pathogens and Epidemiology of Infectious Diseases, Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, People's Republic of China
| | - Guangyue Han
- Hebei Key Laboratory of Pathogens and Epidemiology of Infectious Diseases, Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, People's Republic of China
| | - Xiangdong Xu
- School of Public Health, Hebei Medical University, Shijiazhuang, People's Republic of China
- Hebei Key Laboratory of Environment and Human Health, Shijiazhuang, People's Republic of China
| | - Qi Li
- Hebei Key Laboratory of Pathogens and Epidemiology of Infectious Diseases, Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, People's Republic of China
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Xiang Y, Ma G, Yang Q, Cao M, Xu W, Li L, Yang Q. External validation of the prediction model of intradialytic hypotension: a multicenter prospective cohort study. Ren Fail 2024; 46:2322031. [PMID: 38466674 DOI: 10.1080/0886022x.2024.2322031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 02/17/2024] [Indexed: 03/13/2024] Open
Abstract
OBJECTIVE Intradialytic hypotension (IDH) is a common and serious complication in patients with Maintenance Hemodialysis (MHD). The purpose of this study is to externally verify three IDH risk prediction models recently developed by Ma et al. and recalibrate, update and present the optimal model to improve the accuracy and applicability of the model in clinical environment. METHODS A multicenter prospective cohort study of patients from 11 hemodialysis centers in Sichuan Province, China, was conducted using convenience sampling from March 2022 to July 2022, with a follow-up period of 1 month. Model performance was assessed by: (1) Discrimination: Evaluated through the computation of the Area Under Curve (AUC) and its corresponding 95% confidence intervals. (2) Calibration: scrutinized through visual inspection of the calibration plot and utilization of the Brier score. (3) The incremental value of risk prediction and the utility of updating the model were gauged using NRI (Net Reclassification Improvement) and IDI (Integrated Discrimination Improvement). Decision Curve Analysis (DCA) was employed to evaluate the clinical benefit of updating the model. RESULTS The final cohort comprised 2235 individuals undergoing maintenance hemodialysis, exhibiting a 14.6% occurrence rate of IDH. The externally validated Area Under the Curve (AUC) values for the three original prediction models were 0.746 (95% CI: 0.718 to 0.775), 0.709 (95% CI: 0.679 to 0.739), and 0.735 (95% CI: 0.706 to 0.764) respectively. Conversely, the AUC value for the recalibrated and updated columnar plot model reached 0.817 (95% CI: 0.791 to 0.842), accompanied by a Brier score of 0.081. Furthermore, Decision Curve Analysis (DCA) exhibited a net benefit within the threshold probability range of 15.2% to 87.1%. CONCLUSION Externally validated, recalibrated, updated, and presented IDH prediction models may serve as a valuable instrument for evaluating IDH risk in clinical practice. Furthermore, they hold the potential to guide clinical providers in discerning individuals at risk and facilitating judicious clinical intervention decisions.
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Affiliation(s)
- Yuhe Xiang
- School of Nursing, Chengdu Medical College, Chengdu, China
| | - Guoting Ma
- Health Management Center, Sichuan Tai Kang Hospital, Chengdu, China
| | - Qin Yang
- School of Nursing, Chengdu Medical College, Chengdu, China
| | - Min Cao
- Department of Orthopedics, Sichuan second traditional Chinese medicine hospital, Chengdu, China
| | - Wenbin Xu
- School of Nursing, Chengdu Medical College, Chengdu, China
| | - Lin Li
- School of Nursing, Chengdu Medical College, Chengdu, China
| | - Qian Yang
- School of Nursing, Chengdu Medical College, Chengdu, China
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Urbieta AD, Barbeito Castiñeiras G, Rivero Calle I, Pardo Seco J, Rodríguez Tenreiro C, Suárez Camacho R, Pérez del Molino Bernal ML, Martinón Torres F. Mycoplasma pneumoniae at the rise not only in China: rapid increase of Mycoplasma pneumoniae cases also in Spain. Emerg Microbes Infect 2024; 13:2332680. [PMID: 38497329 PMCID: PMC10993738 DOI: 10.1080/22221751.2024.2332680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 03/15/2024] [Indexed: 03/19/2024]
Abstract
After the use of facemasks, other isolation measures enacted during the SARS-CoV-2 pandemic were lifted, respiratory pathogens, such as RSV, reappeared, but until the November 2023 WHO alert for China, M. pneumoniae had virtually disappeared. After observing a similar reappearance in our hospital, a retrospective analysis of the number of positive M. pneumoniae tests. Between 2018 and December 2023, 1619 PCR tests were ordered and 43 (2.6%) of them were positive. Two outbreaks, one in 2018 and one in 2023, accounted for the majority of cases. Tests were usually ordered in an outpatient setting (53.54%, n = 23) and most of them were paediatric patients with a mean age (sd) of 10.2 (6.2) years. As for the severity of the cases, in the 2018 outbreak, of 15 children who tested positive, 53.3% (n = 8) were admitted to the ward and 6.7% (n = 1) at the intensive care unit. Whereas in 2023, 2 patients were tested in the ward (10.5%) and one in the intensive care unit (5.2%) from a total of 19 patients. The positive rate in 2023 was significantly higher in comparison with years 2020, 2021 and 2022 and significantly lower in comparison with 2018 (P-value=0.003). The outbreak in late 2023 can be explained by the seasonality of Mycoplasma pneumonia alone, which has shown outbreaks every 3-5 years, and it does not appear to be more severe than the previous one.
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Affiliation(s)
- Ana Dacosta Urbieta
- Department of Pediatrics, Hospital Clínico Universitario de Santiago de Compostela, Galicia, Spain
- Genetics, Vaccines and Infections Research Group (GenViP), Instituto de Investigación Sanitaria de Santiago, Universidade de Santiago de Compostela, Santiago de Compostela, Galicia, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBER-ES), Madrid, Spain
| | | | - Irene Rivero Calle
- Department of Pediatrics, Hospital Clínico Universitario de Santiago de Compostela, Galicia, Spain
- Genetics, Vaccines and Infections Research Group (GenViP), Instituto de Investigación Sanitaria de Santiago, Universidade de Santiago de Compostela, Santiago de Compostela, Galicia, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBER-ES), Madrid, Spain
| | - Jacobo Pardo Seco
- Genetics, Vaccines and Infections Research Group (GenViP), Instituto de Investigación Sanitaria de Santiago, Universidade de Santiago de Compostela, Santiago de Compostela, Galicia, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBER-ES), Madrid, Spain
| | - Carmen Rodríguez Tenreiro
- Genetics, Vaccines and Infections Research Group (GenViP), Instituto de Investigación Sanitaria de Santiago, Universidade de Santiago de Compostela, Santiago de Compostela, Galicia, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBER-ES), Madrid, Spain
| | - Ricardo Suárez Camacho
- Department of Pediatrics, Hospital Clínico Universitario de Santiago de Compostela, Galicia, Spain
- Genetics, Vaccines and Infections Research Group (GenViP), Instituto de Investigación Sanitaria de Santiago, Universidade de Santiago de Compostela, Santiago de Compostela, Galicia, Spain
| | | | - Federico Martinón Torres
- Department of Pediatrics, Hospital Clínico Universitario de Santiago de Compostela, Galicia, Spain
- Genetics, Vaccines and Infections Research Group (GenViP), Instituto de Investigación Sanitaria de Santiago, Universidade de Santiago de Compostela, Santiago de Compostela, Galicia, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBER-ES), Madrid, Spain
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Zeng Y, He G. Association of blood parameters in early pregnancy with anemia during late pregnancy: a multicenter cohort study in China. J Matern Fetal Neonatal Med 2024; 37:2299110. [PMID: 38185625 DOI: 10.1080/14767058.2023.2299110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 12/20/2023] [Indexed: 01/09/2024]
Abstract
BACKGROUND Low-hemoglobin concentration and anemia are important risk factors for the health and development of women and children. The aim of this study was to investigate the correlation between blood indicators in early pregnancy among non-anemia women and anemia in the third trimester among pregnant women in China with uncomplicated pregnancies >36 weeks. METHODS This was a multicenter, prospective cohort study. Pregnant women registered at the survey hospitals from May 2019 to December 2020 were included and followed up until delivery and discharge. The predictive value of serum ferritin (SF) and routine blood indexes (platelet count, red blood cell count, hemoglobin level, hematocrit, mean corpuscular volume, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration) were analyzed using a receiver operating characteristic (ROC) curve for the occurrence of anemia in the third trimester. RESULTS The area under the ROC curve of the first trimester hemoglobin for predicting anemia during late pregnancy (cutoff value 128 g/L, sensitivity 82.3%, specificity 49.6%) and iron deficiency anemia (cutoff value 124 g/L, sensitivity 66.3%, specificity 66.4%) in the third trimester was larger than those of other blood variables. CONCLUSIONS Hemoglobin levels in the first trimester were significantly better predictors of anemia during the third trimester than the other indices. Our study contributes to the clinical practice of early intervention for anemia, thus taking effective measures to improve maternal and infant outcomes.
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Affiliation(s)
- Yue Zeng
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Ministry of Education, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Chengdu, China
| | - Guolin He
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Ministry of Education, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Chengdu, China
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40
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Yang X, Wu Y, Zhao H, Liu P, Liang L, Yin A. Emergence and circulation of enterovirus B species in infants in southern China: A multicenter retrospective analysis. Virulence 2024; 15:2329569. [PMID: 38555521 PMCID: PMC10984118 DOI: 10.1080/21505594.2024.2329569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 03/07/2024] [Indexed: 04/02/2024] Open
Abstract
BACKGROUND Enteroviruses (EV) are common and can cause severe diseases, particularly in young children. However, the information of EV infection in infants in China is limited due to the vast population size and extensive geographical area of the country. Here, we conducted a retrospective multicenter analysis of available EV data to assess the current epidemiological situation in the infant population in southern China. METHODS The study enrolled infants with suspected EV infection from 34 hospitals across 12 cities in southern China between 2019 to 2022, and the confirmation of EV was done using RT-PCR and VP1 gene sequencing. RESULTS Out of 1221 infants enrolled, 330 (27.03%) were confirmed as EV-infected. Of these, 260 (78.79%) were newborns aged 0-28 days. The EV belonged to three species: EV-B (80.61%), EV-A (11.82%), and human rhinovirus (7.58%). Newborns were more susceptible to EV-B than older infants (p < 0.001). Within EV-B, we identified 15 types, with coxsackievirus (CV) B3 (20.91%), echovirus (E) 11 (19.70%), and E18 (16.97%) being the most common. The predominant EV types changed across different years. EV infection in infants followed a seasonal pattern, with a higher incidence from May to August. Furthermore, perinatal mother-to-child EV transmission in 12 mother-newborn pairs were observed. CONCLUSION Our study is the first to demonstrate the emergence and widespread circulation of EV-B species, mainly CVB3, E11, and E18, in southern China, primarily affecting young infants. This research provides valuable insights for future epidemic assessment, prediction, as well as the elimination of mother-to-child transmission.
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Affiliation(s)
- Xiaohan Yang
- Medical Genetic Center, Guangdong Women and Children Hospital, Guangzhou 511400, China
| | - Yudan Wu
- Department of Clinical Laboratory, the First Affiliated Hospital of Henan University of Science and Technology, Luoyang 471003, China
| | - Hongyu Zhao
- Medical Genetic Center, Guangdong Women and Children Hospital, Guangzhou 511400, China
| | - Pan Liu
- Medical Genetic Center, Guangdong Women and Children Hospital, Guangzhou 511400, China
| | - Lihua Liang
- Medical Genetic Center, Guangdong Women and Children Hospital, Guangzhou 511400, China
| | - Aihua Yin
- Medical Genetic Center, Guangdong Women and Children Hospital, Guangzhou 511400, China
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Chen Y, Liu L, Liu J, Ji T, Gao Y, Yang D, Zhao M, Zhai Y, Cao Z. Serotype distribution, antimicrobial resistance, and molecular characterization of group B Streptococcus isolates from Chinese pregnant woman. J Matern Fetal Neonatal Med 2024; 37:2295805. [PMID: 38124302 DOI: 10.1080/14767058.2023.2295805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 12/12/2023] [Indexed: 12/23/2023]
Abstract
OBJECTIVE This study was aimed to investigate the serotypes, antibiotic susceptibilities, and multi-locus sequence type (MLST) profiles of group B Streptococcus (GBS) in the Beijing area. METHODS Lower vaginal and rectal swabs were obtained from pregnant women of 35-37 gestational weeks (GWs) who attended the Beijing Obstetrics and Gynecology Hospital. All GBS isolates were identified with Gram staining, catalase reaction assays, and CAMP tests, followed by antibiotic susceptibility testing, serotype identification, multilocus sequence typing and erythromycin resistance gene analysis (ermB and mefE). RESULTS From July 2020 to June 2022, 311 (5.17%) of 6012 pregnant women that were screened for GBS colonization were detected positive. Of the eight serotypes identified (III, Ia, Ib, IV, II, VIII, V, and NT), serotypes III (43.09%), Ia (34.08%) and Ib (17.04%) were the predominant species. In the antimicrobial susceptibility experiments, the resistant rates measured for erythromycin, clindamycin, levofloxacin, and tetracycline were 76.21%, 63.99%, 50.80%, and 81.03%, respectively, and 7.6% of GBS isolates showed inducible clindamycin in resistance (D-test phenotype). Meanwhile, the multilocus sequence typing analysis showed that sequence type 19 (ST19) (30.34%) and ST10 (18.62%) were the dominant sequence types. Among the 237 erythromycin-resistant isolates, 176 harbored ermB (128, 54.00%) or mefE (48, 20.30%) gene alone. CONCLUSION The infection rates, serotypes or MSLT distribution, and antimicrobial resistance of GBS in Beijing area were investigated, which may be applied in analyses of the epidemiological characteristics of GBS. This contributes to the basic knowledge required for successful GBS vaccine development suited for disease prevention and treatment in China, as well as the implementation of effective clinical antimicrobials.
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Affiliation(s)
- Yifei Chen
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China
- Center of Clinical Mass Spectrometry, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Lin Liu
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China
- Center of Clinical Mass Spectrometry, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Jing Liu
- Laboratory Department of Tsinghua University Hospital, Beijing, China
| | - Tongzhen Ji
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China
- Center of Clinical Mass Spectrometry, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Yang Gao
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China
- Center of Clinical Mass Spectrometry, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Dongmei Yang
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China
- Center of Clinical Mass Spectrometry, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Mohan Zhao
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China
- Center of Clinical Mass Spectrometry, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Yanhong Zhai
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China
- Center of Clinical Mass Spectrometry, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Zheng Cao
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China
- Center of Clinical Mass Spectrometry, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, China
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Ou Q, Yu J, Lin L, Lin D, Chen K, Quan H. Contribution of body mass index, waist circumference, and 25-OH-D3 on the risk of pre-diabetes mellitus in the Chinese population. Aging Male 2024; 27:2297569. [PMID: 38164111 DOI: 10.1080/13685538.2023.2297569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 12/17/2023] [Indexed: 01/03/2024] Open
Abstract
This study aimed to investigate the associations between body mass index (BMI), waist circumference (WC), 25-hydroxy-vitamin D3 (25-OH-D3), and the risk of pre-diabetes mellitus (PDM), as well as their predictive values in identifying PDM. A total of 1688 participants were included in this cross-sectional investigation. Spearman's correlation analysis was used to assess the relationships between candidate indicators and PDM. The impact of indicators on PDM risk was determined by multivariate logistic regression. The receiver operating characteristic (ROC) analysis was performed to evaluate the prognostic value of indicators. Our study indicated a positive correlation between WC, BMI, and 25-OH-D3 and PDM. WC (OR = 1.05, 95% CI = 1.04-1.06, p < 0.001), BMI (OR = 1.11, 95% CI = 1.08-1.15, p < 0.001), and 25-OH-D3 (OR = 1.01, 95% CI = 1.00-1.02, p = 0.037) and an increased risk of PDM. Additionally, the ROC analysis demonstrated that WC (AUC = 0.651, Specificity = 55.00%, Sensitivity = 67.900%) had a higher diagnostic value for predicting PDM compared to the other variables (BMI, 25-OH-D3, TG, TC, LDL-C, HDL-C, and UA). A cut-off value of WC > 80.5 cm predicted PDM with both good sensitivity and specificity. Additionally, the cut-off value of waist circumference (WC) for men with prediabetes was 86.500, while for women with prediabetes, it was 76.500.
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Affiliation(s)
- Qianying Ou
- Department of Endocrinology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan Province, China
| | - Jingwen Yu
- Department of Endocrinology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan Province, China
| | - Leweihua Lin
- Department of Endocrinology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan Province, China
| | - Danhong Lin
- Department of Endocrinology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan Province, China
| | - Kaining Chen
- Department of Endocrinology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan Province, China
| | - Huibiao Quan
- Department of Endocrinology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan Province, China
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Wang L, Wang J, Zhang Y, Zhang H. Current perspectives and trends of the research on hypertensive nephropathy: a bibliometric analysis from 2000 to 2023. Ren Fail 2024; 46:2310122. [PMID: 38345042 PMCID: PMC10863539 DOI: 10.1080/0886022x.2024.2310122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 01/21/2024] [Indexed: 02/15/2024] Open
Abstract
Hypertensive nephropathy continues to be a major cause of end-stage renal disease and poses a significant global health burden. Despite the staggering development of research in hypertensive nephropathy, scientists and clinicians can only seek out useful information through articles and reviews, it remains a hurdle for them to quickly track the trend in this field. This study uses the bibliometric method to identify the evolutionary development and recent hotspots of hypertensive nephropathy. The Web of Science Core Collection database was used to extract publications on hypertensive nephropathy from January 2000 to November 2023. CiteSpace was used to capture the patterns and trends from multi-perspectives, including countries/regions, institutions, keywords, and references. In total, 557 publications on hypertensive nephropathy were eligible for inclusion. China (n = 208, 37.34%) was the most influential contributor among all the countries. Veterans Health Administration (n = 19, 3.41%) was found to be the most productive institution. Keyword bursting till now are renal fibrosis, outcomes, and mechanisms which are predicted to be the potential frontiers and hotspots in the future. The top seven references were listed, and their burst strength was shown. A comprehensive overview of the current status and research frontiers of hypertensive nephropathy has been provided through the bibliometric perspective. Recent advancements and challenges in hypertensive nephropathy have been discussed. These findings can offer informative instructions for researchers and scholars.
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Affiliation(s)
- Lan Wang
- Renal Division, Department of Medicine, Peking University First Hospital, Beijing, China
- Institute of Nephrology, Peking University, Beijing, China
- Key Laboratory of Renal Disease, Ministry of Health of China, Beijing, China
- Key Laboratory of Chronic Kidney Disease Prevention and Treatment, Peking University, Ministry of Education, Beijing, China
| | - Jingyu Wang
- Renal Division, Department of Medicine, Peking University First Hospital, Beijing, China
- Institute of Nephrology, Peking University, Beijing, China
- Key Laboratory of Renal Disease, Ministry of Health of China, Beijing, China
- Key Laboratory of Chronic Kidney Disease Prevention and Treatment, Peking University, Ministry of Education, Beijing, China
| | - Yuemiao Zhang
- Renal Division, Department of Medicine, Peking University First Hospital, Beijing, China
- Institute of Nephrology, Peking University, Beijing, China
- Key Laboratory of Renal Disease, Ministry of Health of China, Beijing, China
- Key Laboratory of Chronic Kidney Disease Prevention and Treatment, Peking University, Ministry of Education, Beijing, China
| | - Hong Zhang
- Renal Division, Department of Medicine, Peking University First Hospital, Beijing, China
- Institute of Nephrology, Peking University, Beijing, China
- Key Laboratory of Renal Disease, Ministry of Health of China, Beijing, China
- Key Laboratory of Chronic Kidney Disease Prevention and Treatment, Peking University, Ministry of Education, Beijing, China
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Rao B, Wang L, Yang M, Luo H, Sun J, Liu S, Wang H, Wang X, Li L, Yuan C, Yu Z, Ren Z. Safety and immunogenicity of CoronaVac in healthy adults: A prospective observational multicenter real-world study in Henan Province, China. Virulence 2024; 15:2310450. [PMID: 38326274 PMCID: PMC10854291 DOI: 10.1080/21505594.2024.2310450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 01/22/2024] [Indexed: 02/09/2024] Open
Abstract
Vaccination has emerged as the primar approach for managing the COVID-19 pandemic. Despite certain clinical trials reporting the safety and immunogenicity of CoronaVac, additional multicenter real-world studies are still necessary. In this study, we recruited 506 healthy volunteers who were not infected with COVID-19 or vaccinated. Each participant provided peripheral blood samples three times: prior to the first dose of vaccine, prior to the second dose, and 8 weeks following the second dose. Ultimately, 388 participants completed the entire follow-up process. No serious adverse events were observed among any of the participants. Within 1 week of vaccination, 13.4% of participants experienced systemic adverse reactions, with fatigue (5.93%) and dizziness (3.35%) being the most frequent. Although some clinical indicators, including creatinine, significantly changed after vaccination (p < 0.05), the mean of all altered indicators remained within the normal range. The positive rates of neutralizing antibodies (NAb), IgG, and IgM were 12.3%, 18.85%, and 5.24% prior to the second dose, respectively; and 57.99%, 86.34%, and 2.32% at 8 weeks following the second dose, respectively. Additionally, seven indicators, such as sex, age, and BMI, were significantly correlated with NAb (p < 0.05). Finally, a prediction model was developed based on age, monocytes, and alanine aminotransferase (ALT) with an AUC value of 87.56% in the train set and 80.71% in the test set. This study demonstrated that safety and immunogenicity of CoronaVac were good. The prediction model based on the baseline clinical characteristics prior to vaccination can help to develop more suitable vaccination strategies.
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Affiliation(s)
- Benchen Rao
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Gene Hospital of Henan Province/Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, China
| | - Ling Wang
- Department of Laboratory Medicine, Henan Provincial Chest Hospital, Zhengzhou, China
| | - Mengzhao Yang
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Gene Hospital of Henan Province/Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, China
| | - Hong Luo
- Department of Laboratory Medicine, Guangshan County People’s Hospital, Xinyang, Henan, China
| | - Junyi Sun
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Gene Hospital of Henan Province/Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, China
| | - Shanshuo Liu
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Gene Hospital of Henan Province/Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, China
| | - Haiyu Wang
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Gene Hospital of Henan Province/Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, China
| | - Xuemei Wang
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Gene Hospital of Henan Province/Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, China
| | - Lei Li
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Gene Hospital of Henan Province/Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, China
| | - Chengyu Yuan
- Department of Laboratory Medicine, Guangshan County People’s Hospital, Xinyang, Henan, China
| | - Zujiang Yu
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Gene Hospital of Henan Province/Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhigang Ren
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Gene Hospital of Henan Province/Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, China
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Wan H, Yu G, He Y, Liu S, Chen X, Jiang Y, Duan H, Lin X, Liu L, Shen J. Associations of thyroid feedback quantile-based index with diabetes in euthyroid adults in the United States and China. Ann Med 2024; 56:2318418. [PMID: 38382636 PMCID: PMC10883085 DOI: 10.1080/07853890.2024.2318418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/23/2024] Open
Abstract
BACKGROUND We aimed to investigate the associations between thyroid hormone sensitivity indices and diabetes in euthyroid adults in the United States and China. METHODS 2296 euthyroid adults from the NHANES in the United States and 8319 euthyroid adults from the SPEED-Shunde in China were involved. The thyroid sensitivity indices, namely TFQIFT4 and TFQIFT3, were calculated. Multivariable logistic regression, restricted cubic spline analysis, and general ordinal logit regression were utilized. RESULTS In the NHANES, compared with participants in quartile 1st (Q1), those in Q4 of TFQIFT3 (OR 2.12, 95% CI (1.18, 3.81)) and those in Q3 of TFQIFT4 (OR 2.31, 95% CI (1.18, 4.53)) (both P for trend < 0.05) were associated with a greater prevalence of diabetes. In the SPEED-Shunde, compared with participants in Q1, those in Q4 of TFQIFT3 had a greater prevalence of diabetes (OR 1.36, 95% CI (1.11, 1.66) (P for trend < 0.05), while no significant associations between TFQIFT4 and diabetes were found. CONCLUSIONS TFQIFT3 was associated with a higher prevalence of diabetes both in the United States and China. However, TFQIFT4 was only associated with a higher prevalence of diabetes in the United States, not in China. Further prospective cohort studies are necessary to validate these findings.
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Affiliation(s)
- Heng Wan
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, Guangdong, China
| | - Genfeng Yu
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, Guangdong, China
| | - Yajun He
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, Guangdong, China
- School of Nursing, Southern Medical University, Guangzhou, Guangdong, China
| | - Siyang Liu
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, Guangdong, China
| | - Xingying Chen
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, Guangdong, China
| | - Yuqi Jiang
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, Guangdong, China
| | - Hualin Duan
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, Guangdong, China
| | - Xu Lin
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, Guangdong, China
| | - Lan Liu
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, Guangdong, China
| | - Jie Shen
- Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, Guangdong, China
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Han XY, Du LF, Lin ZT, Li C, Xiong T, Zhu WJ, Ye RZ, Wang N, Wang YF, Gao WY, Zhao L, Cui XM, Cao WC. Genomic characters of Anaplasma bovis and genetic diversity in China. Emerg Microbes Infect 2024; 13:2323153. [PMID: 38442029 PMCID: PMC10916922 DOI: 10.1080/22221751.2024.2323153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 02/20/2024] [Indexed: 03/07/2024]
Abstract
The emergence of Anaplasma bovis or A. bovis-like infection in humans from China and the United States of America has raised concern about the public health importance of this pathogen. Although A. bovis has been detected in a wide range of ticks and mammals in the world, no genome of the pathogen is available up to now, which has prohibited us from better understanding the genetic basis for its pathogenicity. Here we describe an A. bovis genome from metagenomic sequencing of an infected goat in China. Anaplasma bovis had the smallest genome of the genus Anaplasma, and relatively lower GC content. Phylogenetic analysis of single-copy orthologue sequence showed that A. bovis was closely related to A. platys and A. phagocytophilum, but relatively far from intraerythrocytic Anaplasma species. Anaplasma bovis had 116 unique orthogroups and lacked 51 orthogroups in comparison to other Anaplasma species. The virulence factors of A. bovis were significantly less than those of A. phagocytophilum, suggesting less pathogenicity of A. bovis. When tested by specific PCR assays, A. bovis was detected in 23 of 29 goats, with an infection rate up to 79.3% (95% CI: 64.6% ∼94.1%). The phylogenetic analyses based on partial 16S rRNA, gltA and groEL genes indicated that A. bovis had high genetic diversity. The findings of this study lay a foundation for further understanding of the biological characteristics and genetic diversity of A. bovis, and will facilitate the formulation of prevention and control strategies.
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Affiliation(s)
- Xiao-Yu Han
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People’s Republic of China
| | - Li-Feng Du
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, People’s Republic of China
| | - Zhe-Tao Lin
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People’s Republic of China
| | - Cheng Li
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, People’s Republic of China
| | - Tao Xiong
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People’s Republic of China
| | - Wen-Jie Zhu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People’s Republic of China
| | - Run-Ze Ye
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, People’s Republic of China
| | - Ning Wang
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, People’s Republic of China
| | - Yi-Fei Wang
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, People’s Republic of China
| | - Wan-Ying Gao
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, People’s Republic of China
| | - Lin Zhao
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, People’s Republic of China
| | - Xiao-Ming Cui
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People’s Republic of China
| | - Wu-Chun Cao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People’s Republic of China
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Han X, Li C, Yuan X, Cui J, Han Z, Meng J, Zhao W, Xie F, Wang K, Liu Y, Muo G, Xi N, Zheng M, Wang R, Xiao K, Chen W, Xiong J, Zhao D, Zhang X, Han X, Cheng H, Yu Z, Shi Y, Xie W, Xie L. Associations of nirmatrelvir-ritonavir treatment with death and clinical improvement in hospitalized patients with COVID-19 during the Omicron wave in Beijing, China: a multicentre, retrospective cohort study. Ann Med 2024; 56:2313062. [PMID: 38354691 PMCID: PMC10868413 DOI: 10.1080/07853890.2024.2313062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Accepted: 01/25/2024] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND The effectiveness of nirmatrelvir-ritonavir has mainly been shown in non-hospitalized patients with mild-to-moderate coronavirus disease 2019 (COVID-19). The real-world effectiveness of nirmatrelvir-ritonavir urgently needs to be determined using representative in-hospital patients with COVID-19 during the Omicron wave of the pandemic. METHODS We performed a multicentre, retrospective study in five Chinese PLA General Hospital medical centers in Beijing, China. Patients hospitalized with COVID-19 from 10 December 2022 to 20 February 2023 were eligible for inclusion. A 1:1 propensity score matching was performed between the nirmatrelvir-ritonavir group and the control group. RESULTS 1010 recipients of nirmatrelvir-ritonavir and 1010 matched controls were finally analyzed after matching. Compared with matched controls, the nirmatrelvir-ritonavir group had a lower incidence rate of all-cause death (4.6/1000 vs. 6.3/1000 person-days, p = 0.013) and a higher incidence rate of clinical improvement (47.6/1000 vs. 45.8/1000 person-days, p = 0.012). Nirmatrelvir-ritonavir was associated with a 22% lower all-cause mortality and a 14% higher incidence of clinical improvement. Initiation of nirmatrelvir-ritonavir within 5 days after symptom onset was associated with a 50% lower mortality and a 26% higher clinical improvement rate. By contrast, no significant associations were identified among patients receiving nirmatrelvir-ritonavir treatment more than 5 days after symptom onset. Nirmatrelvir-ritonavir was also associated with a 50% increase in survival days and a 12% decrease in days to clinical improvement. CONCLUSION Among hospitalized patients with COVID-19 during the Omicron wave in Beijing, China, the early initiation of nirmatrelvir-ritonavir was associated with clinical benefits of lowering mortality and improving clinical recovery.
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Affiliation(s)
- Xiaobo Han
- College of Pulmonary and Critical Care Medicine, The Eighth Medical Center, Chinese PLA General Hospital, Beijing, China
- Chinese PLA Medical School, Beijing, China
| | - Chenglong Li
- National Institute of Health Data Science, Peking University, Beijing, China
- Institute of Medical Technology, Health Science Center of Peking University, Beijing, China
| | - Xin Yuan
- Pulmonary and Critical Care Medicine Department, The Fifth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Junchang Cui
- College of Pulmonary and Critical Care Medicine, The Eighth Medical Center, Chinese PLA General Hospital, Beijing, China
- Chinese PLA Medical School, Beijing, China
| | - Zhihai Han
- Pulmonary and Critical Care Medicine Department, The Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Jiguang Meng
- Pulmonary and Critical Care Medicine Department, The Fourth Medical Center, Chinese PLA General Hospital, Beijing, China
- Naval Clinical College, Anhui Medical University, Hefei, China
| | - Weiguo Zhao
- College of Pulmonary and Critical Care Medicine, The Eighth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Fei Xie
- Pulmonary and Critical Care Medicine Department, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Kaifei Wang
- Pulmonary and Critical Care Medicine Department, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Yuhong Liu
- College of Pulmonary and Critical Care Medicine, The Eighth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Guoxin Muo
- College of Pulmonary and Critical Care Medicine, The Eighth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Na Xi
- Pharmacy Department, The Eighth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Mengli Zheng
- College of Pulmonary and Critical Care Medicine, The Eighth Medical Center, Chinese PLA General Hospital, Beijing, China
- Chinese PLA Medical School, Beijing, China
| | - Rentao Wang
- College of Pulmonary and Critical Care Medicine, The Eighth Medical Center, Chinese PLA General Hospital, Beijing, China
- Chinese PLA Medical School, Beijing, China
| | - Kun Xiao
- College of Pulmonary and Critical Care Medicine, The Eighth Medical Center, Chinese PLA General Hospital, Beijing, China
- Chinese PLA Medical School, Beijing, China
| | - Wei Chen
- Pulmonary and Critical Care Medicine Department, The Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Junchen Xiong
- Pulmonary and Critical Care Medicine Department, The Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
- Pulmonary and Critical Care Medicine Department, The Fourth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Dahui Zhao
- Pulmonary and Critical Care Medicine Department, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Xinxin Zhang
- College of Pulmonary and Critical Care Medicine, The Eighth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Xinjie Han
- College of Pulmonary and Critical Care Medicine, The Eighth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Haibo Cheng
- Shandong Future Network Research Institute, Jiangsu Future Network Group Co., Ltd., Jiangsu, China
| | - Zhongkuo Yu
- College of Pulmonary and Critical Care Medicine, The Eighth Medical Center, Chinese PLA General Hospital, Beijing, China
- Chinese PLA Medical School, Beijing, China
| | - Yinghan Shi
- College of Pulmonary and Critical Care Medicine, The Eighth Medical Center, Chinese PLA General Hospital, Beijing, China
- Chinese PLA Medical School, Beijing, China
| | - Wuxiang Xie
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Lixin Xie
- College of Pulmonary and Critical Care Medicine, The Eighth Medical Center, Chinese PLA General Hospital, Beijing, China
- Chinese PLA Medical School, Beijing, China
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Xu L, Li D, Song Z, Liu J, Zhou Y, Yang J, Wen P. The association between monocyte to high-density lipoprotein cholesterol ratio and chronic kidney disease in a Chinese adult population: a cross-sectional study. Ren Fail 2024; 46:2331614. [PMID: 38522954 PMCID: PMC10962299 DOI: 10.1080/0886022x.2024.2331614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 03/12/2024] [Indexed: 03/26/2024] Open
Abstract
BACKGROUND Monocyte to high-density lipoprotein cholesterol ratio (MHR) was confirmed as a novel inflammatory marker and strongly associated with the risk of several diseases. This study aimed to investigate the relationship between MHR and chronic kidney disease (CKD) in a Chinese adult population. METHODS In this cross-sectional study, 232,775 community-dwelling adults in Binhai who completed health checkups in 2021 were enrolled. Participants were categorized based on the MHR quartiles. Clinical characteristics of participants across different groups were compared using one-way ANOVA, Kruskal-Wallis h-test, and Chi-squared test as appropriate. Univariate and multivariable logistic regression analyses were taken to assess the relationship between MHR and the presence of CKD, as well as its association with low estimated glomerular filtration rate (eGFR) and proteinuria. Subgroup analyses were further executed to confirm the reliability of this relationship. RESULTS A total of 21,014 (9.0%) individuals were diagnosed with CKD. Characteristic indicators including waist circumference, body mass index (BMI), blood pressure (BP), serum uric acid (SUA), triglyceride, and fasting blood glucose (FBG) showed a gradual increase with higher MHR quartiles, whereas parameters such as age, total cholesterol, high-density lipoprotein cholesterol (HDL-C), and eGFR decreased (p < .001). In the multivariable logistic regression analysis, we observed independent associations between MHR (per 1 SD increase) and CKD, as well as low eGFR and proteinuria, with odds ratio (ORs) and 95% confidence intervals (95%CIs) of 1.206 (1.186-1.225), 1.289 (1.260-1.319), and 1.150 (1.129-1.171), respectively (p < .001). Similar conclusions were confirmed in subgroup analysis stratified by gender, age, BMI, central obesity, hypertension, and diabetes mellitus, after justification for confounding factors. CONCLUSION Elevated MHR level was independently associated with the presence of CKD, suggesting that it might serve as a useful clinical tool for risk stratification, offering valuable insights to inform preventive and therapeutic approaches for clinicians in their routine medical practice.
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Affiliation(s)
- Lingling Xu
- Center for Kidney Disease, Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Dongling Li
- Department of Nephrology, People’s Hospital of Binhai County, Yancheng, Jiangsu, China
| | - Zongwei Song
- Center for Kidney Disease, Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jin Liu
- Center for Kidney Disease, Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yang Zhou
- Center for Kidney Disease, Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Junwei Yang
- Center for Kidney Disease, Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Ping Wen
- Center for Kidney Disease, Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
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Zhao H, Ma H, Song C, Fan S, Fan H, Zhou W, Cao J. Prevalence and molecular characterization of multi-resistant Escherichia coli isolates from clinical bovine mastitis in China. Anim Biotechnol 2024; 35:2322541. [PMID: 38478400 DOI: 10.1080/10495398.2024.2322541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Different antibiotics are used to treat mastitis in dairy cows that is caused by Escherichia coli (E. coli). Antimicrobial resistance in food-producing animals in China has been monitored since 2000. Surveillance data have shown that the prevalence of multiresistant E. coli in animals has increased significantly. This study aimed to investigate the occurrence and molecular characteristics of resistance determinants in E. coli strains (n = 105) obtained from lactating cows with clinical bovine mastitis (CBM) in China. A total of 220 cows with clinical mastitis, which has swollen mammary udder with reduced and red or gangrenous milk, were selected from 5000 cows. The results showed 94.3% of the isolates were recognized as multidrug resistant. The isolates (30.5%) were positive for the class I integrase gene along with seven gene cassettes that were accountable for resistance to trimethoprim resistance (dfrA17, dfr2d and dfrA1), aminoglycosides resistance (aadA1 and aadA5) and chloramphenicol resistance (catB3 and catB2), respectively. The blaTEM gene was present in all the isolates, and these carried the blaCTX gene. A double mutation in gyrA (i.e., Ser83Leu and Asp87Asn) was observed in all fluoroquinolone-resistant isolates. In total, nine fluoroquinolone-resistant E. coli isolates were identified with five different types of mutations in parC. In four (44.4%) isolates, Ser458Ala was present in parE, and in all nine (9/9) fluoroquinolone-resistant isolates, Pro385Ala was present in gyrB. Meanwhile, fluoroquinolone was observed as highly resistant, especially in isolates with gyrA and parC mutations. In summary, the findings of this research recognize the fluoroquinolone resistance mechanism and disclose integron prevalence and ESBLs in E. coli isolates from lactating cattle with CBM.
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Affiliation(s)
- Hongxia Zhao
- Department of Pharmacology and Toxicology, College of Veterinary Medicine, Inner Mongolia Agricultural University, Huhhot, PR China
| | - Hailan Ma
- Department of Pharmacology and Toxicology, College of Veterinary Medicine, Inner Mongolia Agricultural University, Huhhot, PR China
| | - Chen Song
- Department of Pharmacology and Toxicology, College of Veterinary Medicine, Inner Mongolia Agricultural University, Huhhot, PR China
| | - Shuting Fan
- Middle East College of Beijing International Studies University, Beijing, PR China
| | - Hongliang Fan
- Inner Mongolia Yili Industrial Group Co. Ltd., Huhhot, PR China
| | - Weiguang Zhou
- Department of Pharmacology and Toxicology, College of Veterinary Medicine, Inner Mongolia Agricultural University, Huhhot, PR China
| | - Jinshan Cao
- Department of Pharmacology and Toxicology, College of Veterinary Medicine, Inner Mongolia Agricultural University, Huhhot, PR China
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50
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Li X, Ye Z, Wang J, Lin P, Zhang X, Xie S, Chen C. Intake of tobacco nitrosamines of smokers in various provinces of China and their cancer risk: A meta-analysis. J Environ Sci (China) 2024; 141:249-260. [PMID: 38408825 DOI: 10.1016/j.jes.2023.05.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 05/10/2023] [Accepted: 05/11/2023] [Indexed: 02/28/2024]
Abstract
Nitrosamines are a class of carcinogens which have been detected widely in food, water, some pharmaceuticals as well as tobacco. The objectives of this paper include reviewing the basic information on tobacco consumption and nitrosamine contents, and assessing the health risks of tobacco nitrosamines exposure to Chinese smokers. We searched the publications in English from "Web of Science" and those in Chinese from the "China National Knowledge Infrastructure" in 2022 and collected 151 literatures with valid information. The content of main nitrosamines in tobacco, including 4-(methylnitrosoamino)-1-(3-pyridyl)-1-butanone (NNK), N-nitrosonornicotine (NNN), N-nitrosoanatabine (NAT), N-nitrosoanabasine (NAB), total tobacco-specific nitrosamines (TSNA), and N-nitrosodimethylamine (NDMA) were summarized. The information of daily tobacco consumption of smokers in 30 provinces of China was also collected. Then, the intakes of NNN, NNK, NAT, NAB, TSNAs, and NDMA via tobacco smoke were estimated as 1534 ng/day, 591 ng/day, 685 ng/day, 81 ng/day, 2543 ng/day, and 484 ng/day by adult smokers in 30 provinces, respectively. The cancer risk (CR) values for NNN and NNK inhalation intake were further calculated as 1.44 × 10-5 and 1.95 × 10-4. The CR value for NDMA intake via tobacco smoke (inhalation: 1.66 × 10-4) indicates that NDMA is similarly dangerous in tobacco smoke when compared with the TSNAs. In China, the CR values caused by average nitrosamines intake via various exposures and their order can be estimated as the following: smoke (3.75 × 10-4) > food (1.74 × 10-4) > drinking water (1.38 × 10-5). Smokers in China averagely suffer 200% of extra cancer risk caused by nitrosamines in tobacco when compared with non-smokers.
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Affiliation(s)
- Xiao Li
- Research Institute for Environmental Innovation (Suzhou), Tsinghua, Suzhou, Jiangsu 215163, China; Shenzhen Key Laboratory of Organic Pollution Prevention and Control, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Shenzhen 518055, China
| | - Zhiwei Ye
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Jun Wang
- Research Institute for Environmental Innovation (Suzhou), Tsinghua, Suzhou, Jiangsu 215163, China; State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Pengfei Lin
- Research Institute for Environmental Innovation (Suzhou), Tsinghua, Suzhou, Jiangsu 215163, China
| | - Xiaojin Zhang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Shuguang Xie
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Science and Engineering, Peking University, Beijing 100871, China
| | - Chao Chen
- Research Institute for Environmental Innovation (Suzhou), Tsinghua, Suzhou, Jiangsu 215163, China; State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.
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