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Petersen PT, Bodilsen J, Jepsen MPG, Larsen L, Storgaard M, Hansen BR, Helweg-Larsen J, Wiese L, Lüttichau HR, Andersen CØ, Nielsen H, Brandt CT. Dexamethasone in adults with viral meningitis: an observational cohort study. Clin Microbiol Infect 2024:S1198-743X(24)00414-2. [PMID: 39182578 DOI: 10.1016/j.cmi.2024.08.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 08/07/2024] [Accepted: 08/18/2024] [Indexed: 08/27/2024]
Abstract
OBJECTIVES To investigate whether there is a dose-dependent association between empiric dexamethasone and outcome in viral meningitis. METHODS Observational cohort study of adults hospitalized for viral meningitis, both with and without a microbiologically confirmed diagnosis, in Denmark between 2015 and 2020. Dose-dependent associations between dexamethasone (one dose = 10 mg) and an unfavourable outcome (Glasgow Outcome Scale score 1-4) at 30 days after discharge were assessed using weighted logistic regression. Entropy balancing was used to compute weights. RESULTS Of 1025 included patients, 658 (64%) did not receive dexamethasone, 115 (11%) received 1-2 doses, 131 (13%) received 3-4 doses, and 121 (12%) received ≥5 doses. Among patients treated with dexamethasone, the median number of doses was higher for those without an identified pathogen than for those with a microbiologically confirmed viral aetiology (5 [interquartile range (IQR) 3-8] vs. 3 [IQR 2-5]; p < 0.001). Using no doses of dexamethasone as a reference, the weighted OR for an unfavourable outcome were 0.55 (95% CI, 0.29-1.07) for 1-2 doses, 1.13 (95% CI, 0.67-1.89) for 3-4 doses, and 1.43 (95% CI, 0.77-2.64) for ≥5 doses. In the subgroup of enteroviral meningitis, the weighted OR was 3.08 (95% CI, 1.36-6.94) for ≥5 doses, but decreased to 2.35 (95% CI, 0.65-8.40) when the reference group was restricted to patients treated with antibiotics for suspected bacterial meningitis. DISCUSSION This study showed no dose-dependent association between dexamethasone and an unfavourable outcome in patients with viral meningitis. In enteroviral meningitis, ≥5 doses were associated with an increased risk of an unfavourable outcome. However, sensitivity analysis indicated that the association was affected by unmeasured or residual confounding by severity.
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Affiliation(s)
- Pelle Trier Petersen
- Department of Pulmonary and Infectious Diseases, Nordsjællands Hospital, Hillerød, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Jacob Bodilsen
- Department of Infectious Diseases, Aalborg University Hospital, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | | | - Lykke Larsen
- Department of Infectious Diseases, Odense University Hospital, Odense, Denmark
| | - Merete Storgaard
- Department of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark
| | | | | | - Lothar Wiese
- Department of Medicine, Zealand University Hospital, Roskilde, Denmark
| | | | | | - Henrik Nielsen
- Department of Infectious Diseases, Aalborg University Hospital, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
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Yang J, Liao Q, Luo K, Liu F, Zhou Y, Zou G, Huang W, Yu S, Wei X, Zhou J, Dai B, Qiu Q, Altmeyer R, Hu H, Paireau J, Luo L, Gao L, Nikolay B, Hu S, Xing W, Wu P, van Doorn HR, Horby PW, Simmonds P, Leung GM, Cowling BJ, Cauchemez S, Yu H. Seroepidemiology of enterovirus A71 infection in prospective cohort studies of children in southern China, 2013-2018. Nat Commun 2022; 13:7280. [PMID: 36435844 PMCID: PMC9701185 DOI: 10.1038/s41467-022-34992-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Accepted: 11/11/2022] [Indexed: 11/28/2022] Open
Abstract
Enterovirus A71 (EV-A71)-related hand, foot, and mouth disease (HFMD) imposes a substantial clinical burden in the Asia Pacific region. To inform policy on the introduction of the EV-A71 vaccine into the National Immunization Programme, we investigated the seroepidemiological characteristics of EV-A71 in two prospective cohorts of children in southern China conducted between 2013 and 2018. Our results show that maternal antibody titres declined rapidly in neonates, with over half becoming susceptible to EV-A71 at 1 month of age. Between 6 months and 2 years of age, over 80% of study participants were susceptible, while one third remained susceptible at 5 years old. The highest incidence of EV-A71 infections was observed in children aged 5-6 months. Our findings support EV-A71 vaccination before 6 months for birth cohorts in southern China, potentially with a one-time catch-up vaccination for children 6 months-5 years old. More regionally representative longitudinal seroepidemiological studies are needed to further validate these findings.
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Affiliation(s)
- Juan Yang
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Qiaohong Liao
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
- Key Laboratory of Surveillance and Early-warning on Infectious Disease, Division of Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Kaiwei Luo
- Hunan Provincial Center for Disease Control and Prevention (Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences), Changsha, China
| | - Fengfeng Liu
- Key Laboratory of Surveillance and Early-warning on Infectious Disease, Division of Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yonghong Zhou
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Gang Zou
- Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China
| | - Wei Huang
- Hunan Provincial Center for Disease Control and Prevention (Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences), Changsha, China
| | - Shuanbao Yu
- Key Laboratory of Surveillance and Early-warning on Infectious Disease, Division of Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xianglin Wei
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Jiaxin Zhou
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Bingbing Dai
- Anhua County Center for Disease Control and Prevention, Yiyang, China
| | - Qi Qiu
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Ralf Altmeyer
- Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China
- Medusa Therapeutics Limited, Hong Kong Special Administrative Region, Hong Kong, China
| | - Hongan Hu
- Anhua County Center for Disease Control and Prevention, Yiyang, China
| | - Juliette Paireau
- Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, UMR2000, CNRS, 75015, Paris, France
- Infectious Diseases Department, Santé publique France, Saint-Maurice, France
| | - Li Luo
- Key Laboratory of Surveillance and Early-warning on Infectious Disease, Division of Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lidong Gao
- Hunan Provincial Center for Disease Control and Prevention (Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences), Changsha, China
| | - Birgit Nikolay
- Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, UMR2000, CNRS, 75015, Paris, France
| | - Shixiong Hu
- Hunan Provincial Center for Disease Control and Prevention (Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences), Changsha, China
| | - Weijia Xing
- Key Laboratory of Surveillance and Early-warning on Infectious Disease, Division of Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China
| | - Peng Wu
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China
| | - H Rogier van Doorn
- Oxford University Clinical Research Unit, Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Peter W Horby
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Peter Simmonds
- Oxford University Clinical Research Unit, Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam
| | - Gabriel M Leung
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China
| | - Benjamin J Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China
| | - Simon Cauchemez
- Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, UMR2000, CNRS, 75015, Paris, France
| | - Hongjie Yu
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.
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Laor P, Apidechkul T, Khunthason S, Keawdounglek V, Sudsandee S, Fakkaew K, Siriratruengsuk W. Association of environmental factors and high HFMD occurrence in northern Thailand. BMC Public Health 2020; 20:1829. [PMID: 33256665 PMCID: PMC7706220 DOI: 10.1186/s12889-020-09905-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 11/17/2020] [Indexed: 02/02/2023] Open
Abstract
Background The major population vulnerable to hand, foot and mouth disease (HFMD) is children aged less than 5 years, particularly those who are cared for at day care centers (DCCs). This study aimed to assess the associations of environmental and sanitation factors with high HFMD occurrence rates in DCCs of northern Thailand. Methods A case-control study was used to gather information from caregivers and local government administrative officers. DCCs in areas with high and low HFMD occurrence rates were the settings for this study. A validated questionnaire was used to collect environmental and sanitation information from the DCCs. In-depth interviews were used to collect information from selected participants who were working at DCCs and from local government administrative officers on the HFMD capacity and prevention and control strategies in DCCs. Logistic regression analysis was used to determine the associations between many environmental factors and HFMD at the α = 0.05 significance level while the content analysis was used to extract information from the interviews. Results Two variables were found to be associated with a high rate of HFMD occurrence: the number of sinks available in restrooms and the DCC size. Children attending DCCs that did not meet the standard in terms of the number of sinks in restrooms had a greater chance of contracting HFMD than children who were attending DCCs that met the standard (AOR = 4.21; 95% CI = 1.13–15.04). Children who were attending a large-sized DCC had a greater chance of contracting HFMD than those attending a small-sized DCC (AOR = 3.28; 95% CI = 1.21–5.18). The yearly budget allocation and the strategies for HFMD control and prevention, including collaborations among stakeholders for HFMD control and prevention in DCCs, were associated with the effectiveness of HFMD control and prevention. Conclusions The number of sinks in restrooms and DCC size are major concerns for HFMD outbreaks. Sufficient budget allocation and good collaboration contribute to effective strategies for preventing and controlling HFMD in DCCs.
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Affiliation(s)
- Pussadee Laor
- School of Health Science, Mae Fah Luang University, Chiang Rai, Thailand.
| | - Tawatchai Apidechkul
- School of Health Science, Mae Fah Luang University, Chiang Rai, Thailand. .,Center of Excellence for the Hill tribe Health Research, Mae Fah Luang University, Muang Chiang Rai, Thailand.
| | - Siriyaporn Khunthason
- School of Health Science, Mae Fah Luang University, Chiang Rai, Thailand.,Center of Excellence for the Hill tribe Health Research, Mae Fah Luang University, Muang Chiang Rai, Thailand
| | - Vivat Keawdounglek
- School of Health Science, Mae Fah Luang University, Chiang Rai, Thailand
| | - Suntorn Sudsandee
- School of Health Science, Mae Fah Luang University, Chiang Rai, Thailand
| | - Krailak Fakkaew
- School of Health Science, Mae Fah Luang University, Chiang Rai, Thailand
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Xu S, Li H, Qiao P, Xu G, Zhao D, Lin X, Qin Y, Yu H, Zhang X, Zhang W, Huang L. Neonatal hand, foot, and mouth disease due to coxsackievirus A6 in Shanghai. BMC Pediatr 2020; 20:364. [PMID: 32741368 PMCID: PMC7397588 DOI: 10.1186/s12887-020-02262-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Accepted: 07/28/2020] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Evidence of hand, foot, and mouth disease (HFMD) in neonates is limited. The aim of this study was to evaluate the clinical symptoms, pathogens, possible transmission routes, and prognosis of neonatal HFMD in Shanghai. METHODS This was a case-control study based on the HFMD registry surveillance system. All neonates and infected family members were enrolled between 2016 and 2017 in Shanghai. Neonates with HFMD were followed for at least half a year. Detailed questionnaires, medical history, and physical examination were recorded. Routine blood examination, liver and renal function, immunophenotypes of peripheral blood lymphocytes (CD3, CD4, and CD8 T-cells; NK cells), immunoglobulin (Ig) M, IgG, and IgA, and cytokine interleukin (IL-1β, IL-2R, IL-6, IL-8, IL-10, and TNF-α) levels were measured. All rectal swab specimens were collected and genotyped for enterovirus, and phylogenetic analysis based on the VP1 sequences of coxsackievirus A6 (CV-A6) was performed to investigate molecular and evolutionary characteristics. T-test or nonparametric test was used to evaluate the differences. Logistic analysis was applied to calculate the risk of clinical manifestations in the group of HFMD neonates and their paired siblings. RESULTS There were 16 neonates among the 12,608 diagnosed patients with HFMD, accounting for 0.13%. All neonatal infections were transmitted by other members of the family, mainly the elder siblings, and were caused by CV-A6. CV-A6 was the emerging and predominant causative agent of HFMD in Shanghai. None of the neonates with HFMD experienced fever, onychomadesis, or severe complications. However, two elder sibling patients showed lethargy, and one developed hypoperfusion. In the elder siblings with HFMD, the proportion of white blood cells was generally higher than in neonates with HFMD. The immunologic function of the neonates with HFMD was basically normal. The levels of inflammatory markers were higher in both neonates and elder siblings with HFMD compared to age-matched controls. The clinical symptoms receded about 1 week after onset. None of the neonates had sequelae. CONCLUSIONS In our study, CV-A6 infection in neonates was benign, but had the character of family clustering. Due to the two-child policy in China, elder siblings may be the main route of HFMD transmission.
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Affiliation(s)
- Shanshan Xu
- Department of Pediatric Infectious Diseases, Xinhua Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Huajun Li
- Department of Pediatric Infectious Diseases, Xinhua Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Peng Qiao
- Department of Infectious Disease Control, Yangpu District Centers for Disease Control and Prevention, Shanghai, 200093, China
| | - Guofeng Xu
- Department of Pediatric Surgery, Xinhua Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Dongying Zhao
- Department of Neonatology, Xinhua Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Xiaoyan Lin
- Department of Pediatric Internal Medicine, Hangzhou Children's Hospital, Hangzhou, 310000, Zhejiang Province, China
| | - Yu Qin
- Department of Pediatric Internal Medicine, Xingtai People's Hospital, Xingtai, 054001, Hebei Province, China
| | - Huiju Yu
- Department of Pediatric Infectious Diseases, Xinhua Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Xi Zhang
- Clinical Research Unit, Xinhua Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Wanju Zhang
- Pathogen Diagnosis and Biosafety Department, Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China.
| | - Lisu Huang
- Department of Pediatric Infectious Diseases, Xinhua Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
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Hu Y, Xu L, Pan H, Shi X, Chen Y, Lynn H, Mao S, Zhang H, Cao H, Zhang J, Zhang J, Xiao S, Hu J, Li X, Yao S, Zhang Z, Zhao G. Transmission center and driving factors of hand, foot, and mouth disease in China: A combined analysis. PLoS Negl Trop Dis 2020; 14:e0008070. [PMID: 32150558 PMCID: PMC7062235 DOI: 10.1371/journal.pntd.0008070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 01/17/2020] [Indexed: 11/18/2022] Open
Abstract
Hand, foot, and mouth disease (HFMD) has become a major public health issue in China. The disease incidence varies substantially over time and across space. To understand the heterogeneity of HFMD transmission, we compare the spatiotemporal dynamics of HFMD in Qinghai and Shanghai by conducting combined analysis of epidemiological, wavelet time series, and mathematical methods to county-level data from 2009 to 2016. We observe hierarchical epidemic waves in Qinghai, emanating from Huangzhong and in Shanghai from Fengxian. Besides population, we also find that the traveling waves are significantly associated with socio-economic and geographical factors. The population mobility also varies between the two regions: long-distance movement in Qinghai and between-neighbor commuting in Shanghai. Our findings provide important evidence for characterizing the heterogeneity of HFMD transmission and for the design and implementation of interventions, such as deploying optimal vaccine and changing local driving factors in the transmission center, to prevent or limit disease spread in these areas.
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Affiliation(s)
- Yi Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
- Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai, China
| | - Lili Xu
- Institute for Infectious Disease Control and Prevention, Qinghai Provincial Center for Disease Control and Prevention, Qinghai, China
| | - Hao Pan
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Xun Shi
- Department of Geography, Dartmouth College, Hanover, New Hampshire, United States of America
| | - Yue Chen
- Department of Epidemiology and Community Medicine, Faculty of Medicine, University of Ottawa, Ontario, Canada
| | - Henry Lynn
- Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
- Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai, China
| | - Shenghua Mao
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Huayi Zhang
- Institute for Infectious Disease Control and Prevention, Qinghai Provincial Center for Disease Control and Prevention, Qinghai, China
| | - Hailan Cao
- Institute for Infectious Disease Control and Prevention, Qinghai Provincial Center for Disease Control and Prevention, Qinghai, China
| | - Jun Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
- Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai, China
| | - Jing Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
- Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai, China
| | - Shuang Xiao
- Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
- Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai, China
| | - Jian Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
- Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai, China
| | - Xiande Li
- Department of Geography, Shanghai Normal University, Shanghai, China
| | - Shenjun Yao
- Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, China
- School of Geographic Sciences, East China Normal University, Shanghai, China
| | - Zhijie Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
- Laboratory for Spatial Analysis and Modeling, School of Public Health, Fudan University, Shanghai, China
- * E-mail:
| | - Genming Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
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Wang B, Feng H, Huang P, Dang D, Zhao J, Yi J, Li Y. Developing a Nomogram for Risk Prediction of Severe Hand-Foot-and-Mouth Disease in Children. Indian J Pediatr 2019; 86:365-370. [PMID: 30798415 DOI: 10.1007/s12098-019-02898-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Accepted: 02/04/2019] [Indexed: 12/29/2022]
Abstract
OBJECTIVE Early recognition of children with severe Hand-Foot-and-Mouth disease (HFMD) is especially important, as severe cases are associated with poor prognosis. To accomplish this, authors designed a quantitative assessment tool to build a nomogram to assist in clinical diagnosis. METHODS A total of 2332 HFMD patients were enrolled in this study; 1750 cases in the mild group and 582 cases in the severe group. Analysis of all of the data was performed using R software version 3.4.3. Multivariate logistic regression was utilized to screen predictors to construct a nomogram model. Finally, predictive performance of the model was evaluated using a receiver operating characteristic (ROC) curve and classifier calibration plot. RESULTS A nomogram was constructed with five variables: age, peak temperature, fever duration, pathogen, and vomiting. For the nomogram, the area under the curve was 0.87, and the model prediction accuracy rate was 85.2%. Depending upon the comparison of the area under the ROC curve, the nomogram model was superior to the traditional pediatric clinical illness score (PCIS). With the help of the Hosmer-Lemeshow test and resampling model calibration curve, the fitting performance of the nomogram was stable. CONCLUSIONS With advantages such as simplicity, intuitiveness, and practicality, the nomogram (including age, peak temperature, fever duration, pathogen, and vomiting) is capable of predicting severe HFMD and has certain auxiliary value in clinical applications.
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Affiliation(s)
- Bin Wang
- Department of Gastroenterology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Huifen Feng
- Department of Gastroenterology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
| | - Ping Huang
- Department of Gastroenterology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Dejian Dang
- Department of Infection Control, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Jing Zhao
- Department of Gastroenterology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Jiayin Yi
- Department of Gastroenterology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yuanxiao Li
- Department of Gastroenterology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
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Zou JJ, Jiang GF, Xie XX, Huang J, Yang XB. Application of a combined model with seasonal autoregressive integrated moving average and support vector regression in forecasting hand-foot-mouth disease incidence in Wuhan, China. Medicine (Baltimore) 2019; 98:e14195. [PMID: 30732135 PMCID: PMC6380825 DOI: 10.1097/md.0000000000014195] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Hand-foot-mouth disease (HFMD) is a serious public health problem with increasing cases and substantial financial burden in China, especially in Wuhan city. Hence, there is an urgent need to construct a model to predict the incidence of HFMD that could make the prevention and control of this disease more effective.The incidence data of HFMD of Wuhan city from January 2009 to December 2016 were used to fit a combined model with seasonal autoregressive integrated moving average (SARIMA) model and support vector regression (SVR) model. Then, the SARIMA-SVR hybrid model was constructed. Subsequently, the fitted SARIMA-SVR hybrid model was applied to obtain the fitted HFMD incidence from 2009 to 2016. Finally, the fitted SARIMA-SVR hybrid model was used to forecast the incidence of HFMD of the year 2017. To assess the validity of the model, the mean square error (MSE) and mean absolute percentage error (MAPE) between the actual values and predicted values of HFMD incidence (2017) were calculated.From 2009 to 2017, a total of 107636 HFMD cases were reported in Wuhan City, Hubei Province, and the male-to-female ratio is 1.60:1. The age group of 0 to 5 years old accounts for 95.06% of all reported cases and scattered children made up the large proportion (accounted for 56.65%). There were 2 epidemic peaks, from April to July and September to December, respectively, with an emphasis on the former. High-prevalence areas mainly emerge in Dongxihu District, Jiangxia District, and Hongshan District. SARIMA (1,0,1)(0,0,2)[12] is the optimal model given with a minimum Akaike information criterion (AIC) (700.71), then SVR model was constructed by using the optimum parameter (C = 100000, =0.00001, =0.01). The forecasted incidences of single SARIMA model and SARIMA-SVR hybrid model from January to December 2017 match the actual data well. The single SARIMA model shows poor performance with large MSE and MAPE values in comparison to SARIMA-SVR hybrid model.The SARIMA-SVR hybrid model in this study showed that accurate forecasting of the HFMD incidence is possible. It is a potential decision supportive tool for controlling HFMD in Wuhan, China.
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Affiliation(s)
| | - Gao-Feng Jiang
- Center for Translational Medicine, Tianyou Hospital, Wuhan University of Science and Technology, Wuhan, Hubei
| | - Xiao-Xu Xie
- National Research Institute for Health and Family Planning
- Graduate School of Peking Union Medical College, Beijing, China
| | - Juan Huang
- Wuhan Centers for Disease Prevention and Control
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Yang Y, You E, Wu J, Zhang W, Jin J, Zhou M, Jiang C, Huang F. Effects of relative humidity on childhood hand, foot, and mouth disease reinfection in Hefei, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 630:820-826. [PMID: 29499537 DOI: 10.1016/j.scitotenv.2018.02.262] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2018] [Revised: 02/10/2018] [Accepted: 02/21/2018] [Indexed: 05/04/2023]
Abstract
BACKGROUND In recent years, hand, foot, and mouth disease (HFMD) has become a major public health issue in China, and its reinfection rate has been high. Numerous studies have examined the effects of meteorological factors involved in HFMD infection. However, no study has investigated the effects on HFMD reinfection. The present study analyzed the relationship between relative humidity and HFMD reinfection. METHODS We employed a distributed lag nonlinear model to evaluate the relationship between relative humidity and childhood HFMD reinfection in Hefei, China during 2011-2016. This model controlled confounding factors, including seasonality, long-term trend, day of the week, precipitation, and mean temperature. RESULTS Childhood HFMD reinfection cases occurred mainly from April to July, and the second peak occurred from October to December. A statistically significant association was observed between relative humidity and HFMD reinfection with delayed effects. The adverse effect of high relative humidity (>75%) appeared later than those of low relative humidity (<75%). Moreover, the highest relative risk (RR 1.08, 95% CI 1.04-1.13) occurred when the relative humidity was 100% and had an 8-day lag. Given the differences between gender and age groups, the effects of extremely high relative humidity on females and those aged ≥4years were higher than those of other groups and caused the highest cumulative relative risks at lag 0-9 or 0-10days (Female: RR 2.00, 95% CI 1.23-3.26; Male: RR 1.55, 95% CI 1.04-2.30; Aged ≥4years: RR 2.31, 95% CI 1.27-4.18; Aged <4years: RR 1.51, 95% CI 1.04-2.20). CONCLUSION High and low relative humidity were found to cause the elevated risks of HFMD reinfection, and the highest risk was observed at extremely high relative humidity. Early warning systems should be built for the protection of susceptible populations, particularly females and children aged ≥4years.
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Affiliation(s)
- Yuwei Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, Anhui 230032, PR China
| | - Enqing You
- Hefei Center for Disease Control and Prevention, 86 Luan Road, Luyang District, Hefei, Anhui 230061, PR China
| | - Jinju Wu
- Hefei Center for Disease Control and Prevention, 86 Luan Road, Luyang District, Hefei, Anhui 230061, PR China
| | - Wenyan Zhang
- Hefei Center for Disease Control and Prevention, 86 Luan Road, Luyang District, Hefei, Anhui 230061, PR China
| | - Jin Jin
- Hefei Center for Disease Control and Prevention, 86 Luan Road, Luyang District, Hefei, Anhui 230061, PR China
| | - Mengmeng Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, Anhui 230032, PR China
| | - Chunxiao Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, Anhui 230032, PR China
| | - Fen Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, Anhui 230032, PR China.
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Epidemiological Characteristics and Spatial-Temporal Distribution of Hand, Foot, and Mouth Disease in Chongqing, China, 2009-2016. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15020270. [PMID: 29401726 PMCID: PMC5858339 DOI: 10.3390/ijerph15020270] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Revised: 01/22/2018] [Accepted: 01/24/2018] [Indexed: 12/19/2022]
Abstract
(1) Objective: Even with licensed vaccine for enterovirus 71 (EV71) put into market in 2016 in China, hand, foot, and mouth disease (HFMD) is still a threat for children’s health in Chongqing. We described the epidemiological characteristics and spatial–temporal patterns of HFMD in Chongqing from 2009 to 2016, in order to provide information and evidence for guiding public health response and intervention. (2) Methods: We retrieved the HFMD surveillance data from January 2009 to December 2016 from “National Disease Reporting Information System”, and then analyzed demographic and geographical information integrally. Descriptive analysis was conducted to evaluate the epidemic features of HFMD in Chongqing. The spatial–temporal methods were performed to explore the clusters at district/county level. (3) Results: A total of 276,207 HFMD cases were reported during the study period (total population incidence: 114.8 per 100,000 per year), including 641 severe cases (129 deaths). The annual incidence of HFMD sharply increased in even-numbered years, but remained stable or decreased in odd-numbered years. A semiannual seasonality was observed during April to July, and October to December in each year. The male-to-female ratios of the mild and severe cases were 1.4:1 and 1.5:1, with the median age of 2.3 years and 1.9 years, respectively. More than 90% of the cases were children equal to and less than 5 years old. High-incidence clustered regions included the main urban districts and northeast regions according to incidence rates comparison or space–time cluster analysis. A total of 19,482 specimen were collected from the reported cases and 13,277 (68.2%) were positive for enterovirus. EV71 was the major causative agent for severe cases, while other enteroviruses were the predominant serotype for mild cases. (4) Conclusions: The characteristics of HFMD in Chongqing exhibited a phenomenon of increasing incidence in two-year cycles and semiannual seasonality in time distribution. Children ≤5 years old, especially boys, were more affected by HFMD. EV71 was the major causative agent for severe cases. We suggest initiating mass EV71 vaccination campaigns among children aged 6 months to 5 years in Chongqing, especially in the main urban districts and northern regions, in order to reduce case fatality, and take integrated measurements for controlling and preventing HFMD attributed to other enteroviruses.
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Epidemiological and genetic characteristics of EV71 in hand, foot, and mouth disease in Guangxi, southern China, from 2010 to 2015. PLoS One 2017; 12:e0188640. [PMID: 29216216 PMCID: PMC5720782 DOI: 10.1371/journal.pone.0188640] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2017] [Accepted: 11/11/2017] [Indexed: 11/21/2022] Open
Abstract
Hand, foot, and mouth disease (HFMD) is a significant public health challenge in China. Human enterovirus 71 (EV71) is regarded as the predominant causative pathogen of HFMD. Since 2015, two inactivated EV71 vaccines have been approved in mainland China, and because their use could change the HFMD pathogen spectrum, this should now be monitored. However, the epidemiological and genetic trends of EV71 with respect to HFMD in Guangxi, southern China, are still not clear. In this study, we describe the epidemiological and genetic characterization of this virus in clinically-diagnosed HFMD reported from 2010 to 2015 in Guangxi. Data showed that a two-year epidemic cycle, with a predominance of EV71 infections, contributed to HFMD outbreaks in Guangxi. Furthermore, this virus is a major causative agent of severe and fatal HFMD. Interestingly, in Guangxi, EV71-positive rates tended to decrease over time. In particular, EV71-positive rates were found in Fangchenggang city, which reported very few severe and fatal cases over the six-year period. Phylogenetic analysis of the VP1 gene revealed that the major circulating strains belonged exclusively to genotype C, subtype 4a (C4a), and most clustered with strains circulating in southern China. The most interesting finding was that a strain isolated in 2012 clustered with Vietnamese strains isolated from 2011–2012. The data highlight the importance of pathogen surveillance for HFMD in China, especially Guangxi, which is located on the border of China and the Association of Southeast Asian Nations.
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Abstract
RATIONALE Hand, foot and mouth disease (HFMD) is caused by enterovirus. The virus may exist in secretions. PATIENT CONCERNS Five neonates had symptoms of fever and maculopapular rashes involving face, trunk, breech, arms, and legs, especially scattering on palms and feet. Blood, oropharyngeal fluid, urine, and cerebrospinal fluid (CSF) samples were collected and detected for further diagnoses with the consent of the infants' parents. Some of them suffered aseptic meningitis. DIAGNOSES They were diagnosed as HFMD with CSF enterovirus positive. INTERVENTIONS All of them continued breastfeed. Water bag was used during the pyrogenic stage. Antibiotics were administrated at first and withdrawn as soon as possible. OUTCOMES None of them developed into brainstem encephalitis or pulmonary edema and they all recovered well. LESSONS HFMD is more common in neonates than it has been thought. Enterovirus may exist in neonatal CSF and cause CSF cell to increase similar to purulent meningitis. Medical history, physical examination, and CSF enterovirus detection are important in making correct diagnosis. Unlike bacterial infection, HFMD is a self-limited disease. Once HFMD is determined and bacterial infection is ruled out, antibiotics should be avoided.
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Affiliation(s)
- Wen-Wen Chen
- Department of Neonatology Internal Medicine Intensive Care Unit, Zhangzhou Municipal Hospital affiliated to Fujian Medical School, Zhangzhou, China
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Complete Genome Sequences of Four Coxsackievirus A16 Strains Isolated from Four Children with Severe Hand, Foot, and Mouth Disease. GENOME ANNOUNCEMENTS 2017; 5:5/31/e00760-17. [PMID: 28774989 PMCID: PMC5543651 DOI: 10.1128/genomea.00760-17] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Here, we report the complete genome sequences of four coxsackievirus A16 strains isolated from four children with severe hand, foot, and mouth disease. Three of them were assigned to subgenotype B1b based on phylogenetic analysis of the VP1 gene, and the other one belonged to subgenotype B1a.
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