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Reinfection hazard of hand-foot-mouth disease in Wuhan, China, using Cox-proportional hazard model

Published online by Cambridge University Press:  30 May 2018

Y. Peng
Affiliation:
Wuhan Center for Disease Prevention and Control, Wuhan 430015, China
B. Yu
Affiliation:
Wuhan Center for Disease Prevention and Control, Wuhan 430015, China
D. G. Kong
Affiliation:
Wuhan Center for Disease Prevention and Control, Wuhan 430015, China
Y. Y. Zhao
Affiliation:
Wuhan Center for Disease Prevention and Control, Wuhan 430015, China
P. Wang
Affiliation:
Wuhan Center for Disease Prevention and Control, Wuhan 430015, China
B. B. Pang
Affiliation:
Wuhan Center for Disease Prevention and Control, Wuhan 430015, China
J. Gong*
Affiliation:
Wuhan Center for Disease Prevention and Control, Wuhan 430015, China
*
Author for correspondence: J. Gong, E-mail: [email protected]
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Abstract

Hand-foot-mouth disease (HFMD) is an acute infectious disease caused by serotypes of the enterovirus (EV) family. HFMD reinfection occurs commonly in lack of cross-protection between different EV serotypes. In this study, we investigated the hazards of HFMD reinfection using Cox-proportional hazard model. Retrospective data of 95 209 HFMD cases in Wuhan during 2008–2015 was used. Kaplan–Meier survival methods and Cox-proportional hazard model were used to estimate the hazard probabilities. Of the all HFMD cases, about 2% experienced reinfection (1842/95 209). Kaplan–Meier curves revealed the reinfection risk sharply increased before 40 months from first infection. Higher hazards of reinfection were detected among those who were males, aged 3 years and below, scattered children, belonging to urban areas and first infected with coxsackievirus (CV)-A16 compared with their respective counterparts. Cox-proportional hazard model suggested that gender, age, group, living area and serotypes of first infection had significant effect on reinfection even after adjusting for potential confounding effects of other selected factors considered in the study. These results indicate that boys aged 3 years and below, especially those living in urban areas and first infected with CV-A16 are more prone to reinfection. Interventions should be imposed on these high-risk populations.

Type
Original Paper
Copyright
Copyright © Cambridge University Press 2018 

Introduction

Hand-foot-mouth disease (HFMD) is an acute contagious disease caused by the human enterovirus (EV) family, with EV A71 (EV-A71) and coxsackievirus A16 (CV-A16) being considered to be the major pathogens [Reference Zhao1]. Children aged <5 years are particularly susceptible to HFMD [Reference Hooi-Ling2]. Over the last decades, large amounts of HFMD cases have been reported across the Asia-Pacific region, becoming a growing public health concerns [Reference Nguyen3, Reference Ang4]. The same HFMD epidemics occur in most parts of China every year since its first emergence in Shanghai in 1981 [Reference Zeng5]. The Chinese government designated HFMD as a category-C notifiable communicable disease on 2 May 2008 after two large outbreaks which led to thousands of cases and dozens of deaths in Linyi and Fuyang city of China [Reference Xing6]. According to the data released by the National Health and Family Planning Commission of China, 12 167 721 HFMD cases and 2863 deaths were reported in mainland China during 2010–2015. Averagely more than 2 million HFMD cases were reported annually, ranking the top first among notifiable communicable diseases [7].

Although the neutralizing antibodies elicited after infection can provide certain protection for the same EV subtype of HFMD, they cannot protect against the other EV subtypes [Reference Liu8]. In lack of cross-protection between different EV serotypes, patients could be reinfected with HFMD, which therefore increases the prevalence of HFMD and heavens the associated social health burden. Reinfection of HFMD has been reported in some researches, and the reported reinfection rates ranged from 0.16% to 3.73% [Reference Chen9Reference Shu11]. However, these studies mainly focused on the basic epidemiological description of reinfection. The hazard and potential risk factors associated with reinfection of HFMD remain poorly understood, which impedes the development of targeted interventions. The present study aims to analyse the reinfection hazard of HFMD in Wuhan, China, using Cox-proportional hazard regression model.

Methods

Study site

Wuhan is a city locating at the central China with the total area of about 8494 km2. By the end of 2016, the total population in Wuhan amounted to more than 10 million. Wuhan is well known as the ‘Jiusheng Tongqu (the nine provinces’ leading thoroughfare)’, which means Wuhan is a major transportation hub, with hundreds of railways, roads and expressways passing through the city and connecting to major cities in Mainland China [12]. Taking into consideration the key role that Wuhan played in transportation, it is reasonable to believe that infectious disease could spread broadly outside once it outbreaks in Wuhan.

Statistics showed that since 2010, HFMD has always been the contagious disease with the largest number of cases in Wuhan city. More than 10 000 cases were reported annually with an incidence rate of over 100 per 100 000 populations [Reference Peng13], posing serious public health threats.

Case definition

The HFMD cases were diagnosed according to the guidelines for HFMD diagnosis and treatment (2010) issued by the National Health and Family Planning Commission of China [14]. A clinical case of HFMD was defined as a patient presenting with vesicular rashes or maculopapular on hands, feet, mouth and/or buttocks, with or without fever. A laboratory-confirmed case was defined as a clinical case with one of the following laboratory evidences including specific EV RNA (+), isolation of EV (EV-A71, CV-A16 or other EV), and at least fourfold increase of the neutralizing antibodies titre between acute and convalescent phase. The reinfected case was defined as a patient who was infected with HFMD twice or more (>15-day intervals between infections).

Data resources

The current data were obtained from the Chinese Information System for Disease Control and Prevention (CISDCP), which is an internet-based surveillance system established in 2004 by the Chinese government [Reference Wang15]. It was enforced that healthcare providers had to report any clinically diagnosed or laboratory-confirmed HFMD cases via the CISDCP within 24 h since 2 May 2008. Basic information of the case including card ID, name, gender, age, group classification, current address, date of disease onset, date of diagnosis, case classification (clinical or laboratory-confirmed) was input to the system. A series of measures have been taken to insure the quality of data reporting, such as regular training of healthcare providers on data entry, routine audits of data by the local Center for Disease Control and Prevention (CDC), field investigations of reporting accuracy and under-reporting of cases [Reference Wang15].

Totally, 95 290 HFMD cases were reported via the CISDCP in Wuhan during the period of 2 May 2008 to 31 December 2015. Data cleaning was done by excluding logically erroneous and incomplete data. Finally, 95 209 cases were used for the current study.

Statistical analysis

Descriptive statistics such as rate and proportion were used to summarise the sample characteristics and to estimate the infection and reinfection rates of HFMD. The Kaplan–Meier method was used to estimate the cumulative hazard probabilities of HFMD first reinfection stratified with gender, age, group classification, region and pathogenic results, and the differences were assessed by the log-rank test. Hazard ratios (HR) with 95% confidence intervals (CI) were estimated by Cox-proportional hazard regression analysis, to investigate the factors associated with the risk of reinfection. P < 0.05 was considered to be statistically significant. All analyses were conducted with Statistics software SPSS V 16.0 (SPSS Inc., Chicago, Illinois, USA).

Ethical statement

According to the law on the prevention and treatment of infectious diseases in China, personal identifiers of individual cases should be collected in the CISDCP, for the purposes of public health surveillance and response. The National Health and Family Planning Commission of China identified that the collection of individual data for all notifiable diseases including HFMD was part of an ongoing public health response, and was thus exempt from institutional review board assessment [Reference Takahashi16].

Strict regulations were established and supervised by the China CDC to protect patients’ privacy. The local CDCs were given access to the surveillance data for the purpose of research. The individual HFMD data for this study were anonymised by deleting the personal identifiers (such as patient name, address and telephone number). No informed consent was required since there were no ethical issues relevant to the study design and data analysis.

Results

General characteristics of the cases

As shown in Table 1, of 95 209 cases, 62.6% were males, 82.4% aged 3 years and below, 36.2% lived in rural area, 0.1% diagnosed as severe case and 48.6% were laboratory-confirmed with EV-A71 being the primary pathogen.

Table 1. Basic characteristics of HFMD cases, 2008–2015, Wuhan

a The age when the children were into the study.

b The children who have not attend kindergarten or school yet.

HFMD reinfection characteristics

Of all cases, 1842 were reinfected with the reinfection rate of 1.93%. Among reinfected cases, 1798 (97.61%) cases were infected twice, 42 (2.28%) cases three times and two (0.11%) cases four times. The median interval time between infections was 13.33 (inter-quartile range: 8.53–22.55) months. Table 2 showed that the reinfection rate was significantly higher in male, children aged 3 years and below, scattered children, urban areas, patients first infected with CV-A16 and CV-A16 predominant years, compared with their counterparts (P < 0.05).

Table 2. Reinfection rates of HFMD by social demographic characteristics

a Routine pathogenic surveillance of HFMD in Wuhan has been carried out since 2008. According to the predominant circulating EV in each year shown by the surveillance data, we categorised 2008–2015 into EV-A71 predominant year, CV-A16 predominant year, and other EV predominant year.

The hazard of HFMD reinfection

Generally the reinfection hazard sharply increases before 40 months, with 0.64% of cases reinfected within 10 months, 1.55% within 20 months, 2.03% within 30 months and 2.36% within 40 months after first infection. Figure 1 showed the cumulative hazard probability curves of HFMD reinfection stratified by gender, age, group, region and serotypes with the proportional hazard model. Higher reinfection hazards were detected among those who were males, aged 3 years and below, scattered children, belonging to urban areas and first infected with CV-A16.

Fig. 1. The Kaplan–Meier curves showing the cumulative hazard of HFMD reinfection.

The results of Cox-proportional hazard regression analysis adjusted for the covariates were shown in Table 3. The data suggested that patient's gender, age, group, living area and serotypes of first infection had significant effect on reinfection even after adjusting for potential confounding effects of other selected factors considered in the study. For instance, the reinfection risk was higher among males compared with females (HR 1.187, CI 1.077–1.308); aged 3 years and below compared with more than 3 years old (HR 1.886, CI 1.658–2.146).

Table 3. Results from Cox-proportional hazard regression model depicting the risk of HFMD reinfection

a Hazard ratio.

b Reference category.

c Of 1842 reinfected cases, only 103 were laboratory-confirmed. Thus, the ‘pathogen’ variable has much missing values. It was not included in multivariable analysis.

Discussion

The main purpose of current study was to reveal the hazards of HFMD reinfection. To the best of our knowledge, our study is the first one to address the reinfection hazards. Our data suggested that the reinfection rate of HFMD in Wuhan city during 2008–2015 was 1.93%, which was higher than 0.35% in Qinhuangdao city [Reference Ren17], lower than 3.36% in Guangzhou city [Reference Chen, Xiao and Ding18] and similar to 2.02% in Anhui province [Reference Chen9]. Furthermore, our further analysis indicated that the hazards of reinfection increased by months and reached peak of 2.36% at 40 months after first infection. Thus, reinfection hazards may bring continuing threats to each susceptibilities even those ever infected with HFMD.

Both single-variable and multivariable analysis showed association between reinfection risk and demographic variables such as gender, age, place of residence. Luo et al. have conducted a systematic review and demonstrated that the antibody level against EV-A71 and CV-A16 in neonates dropped to the lowest level at 1-year-old, and gradually increased thereafter and peaked at 4-year-old [Reference Luo19]. The Kaplan–Meier curves showed the reinfection hazard increased sharply before 30 months from first infection of HFMD in present study. Therefore, children aged <3 years were more prone to HFMD reinfection. We observed that the reinfection risk was higher in boys than in girls, which was in accordance with HFMD incidence outcomes [Reference Xie20]. The study also reported relatively higher reinfection risk in urban areas compared with rural areas. A similar finding has been noticed in other studies also [Reference Pan21]. This finding is somewhat contrary to the general belief that urban has better sanitary and should have lower risk. Possible reason is that urban has better access and utilisation of health care services, and parents have higher sense of seeking medical treatment. Hence, children belonging to urban areas have higher opportunity to be diagnosed and rediagnosed when they get ill with HFMD.

EV-A71 is a major causative agent of HFMD outbreaks worldwide and accounted for more than 90% of laboratory-confirmed cases [Reference Wu22]. Prior to this report, lower EV-A71 prevalence rate was encouraged as it predicted lower case-severity rate and lower HFMD burden [Reference Wang23]. However, findings of our study suggested that the likelihood of reinfection hazard increases with the non-EV-A71 (e.g. CV-A16) first infection, and it corroborates with the previous study [Reference Chen9]. Public health authorities in areas with a lower EV-A71 proportion of laboratory-confirmed cases need to promote hygiene education so that children can reduce the likelihood of reinfection.

Despite, the study observed various important findings. It has several limitations. First, only 7.85% of cases were confirmed with laboratory tests, therefore very few reinfected cases had laboratory results for both infections. Second, we did not strictly define the end-point and follow-up for a certain time to observe the occurrence of reinfection for those who were first infected with HFMD during the last 1 or 2 years (e.g. 2014–2015). Hence, the reinfection risk could be underestimated in the present study.

Conclusion

The study revealed several useful results that have potential bearing on reducing the risk of reinfection among HFMD population. The most useful finding emerged from our analysis was adjusted hazard risks for HFMD reinfection. In summary, boys aged <3 years living in urban areas and primarily infected with non-EV-A71 EV were more susceptible to HFMD reinfection. Therefore, their parents or guardians need to be alert to signs of HFMD, even if their children were previously infected. In addition, administrations need to carry out specific health education programmes to inform susceptible populations and develop polyvalent vaccine, which can provide protection against different EV genogroups to reduce the reinfection hazards.

Acknowledgements

The authors thank the hospitals for data report and the district CDC for the data audit.

Financial support

This study is financially supported by the Special National Project on Research and Development of Key Biosafety Technologies (B.Y., grant number: 2016YFC1201900); the National Key Laboratory of China CDC (B.Y., grant number: 2017SKLID307); and the Health Bureau of Wuhan (D.K., grant number: WG16B03).

Conflict of interest

None.

Footnotes

*

These authors contributed equally to this work.

References

1.Zhao, YY et al. (2015) Case-fatality of hand, foot and mouth disease associated with EV71: a systematic review and meta-analysis. Epidemiology and Infection 143, 30943102.CrossRefGoogle Scholar
2.Hooi-Ling, T et al. (2016) Clinical characteristics and functional motor outcomes of Enterovirus 71 neurological disease in children. JAMA Neurology 73, 300307.Google Scholar
3.Nguyen, NT et al. (2014) Epidemiological and clinical characteristics of children who died from hand, foot and mouth disease in Vietnam, 2011. BMC Infectious Diseases 14, 341.CrossRefGoogle ScholarPubMed
4.Ang, LW et al. (2015) Seroepidemiology of Coxsackievirus A6, Coxsackievirus A16, and Enterovirus 71 infections among children and adolescents in Singapore, 2008–2010. PLoS ONE 10, e0127999.CrossRefGoogle ScholarPubMed
5.Zeng, M et al. (2012) Epidemiological of hand, foot, and mouth disease in children in Shanghai, 2007–2010. Epidemiology and Infection 140, 11221130.CrossRefGoogle ScholarPubMed
6.Xing, W et al. (2014) Epidemiological characteristics of hand-foot-and-mouth disease in China, 2008–2012. Lancet Infectious Diseases 14, 308318.CrossRefGoogle Scholar
7.Chinese Bureau of Disease Prevention and Control. Report of notifiable communicable disease in China: updated result, 2010–2015. Available at http://www.nhfpc.gov.cn/jkj/s3578/newlist.shtml (accessed 9 March, 2018).Google Scholar
8.Liu, CC et al. (2014) Prospect and challenges for the development of multivalent vaccines against hand, foot and mouth diseases. Vaccine 32, 61776182.CrossRefGoogle ScholarPubMed
9.Chen, GP et al. (2016) Epidemiological characteristics and influential factors of hand, foot and mouth disease (HFMD) reinfection in children in Anhui province. Epidemiology and Infection 144, 153160.CrossRefGoogle ScholarPubMed
10.Jiang, XH and Li, Q (2017) Characteristic analysis of the repeated infection cases with hand-foot-mouth disease in Chaoyang District of Beijing city between 2008 and 2014. Modern Preventive Medicine 44, 17881801.Google Scholar
11.Shu, FY et al. (2016) Epidemiological analysis on 738 repeated infection cases with hand-foot-mouth disease of Jiangin, 2008–2015. Modern Preventive Medicine 43, 30923094.Google Scholar
12.Anon. (2014) Wuhan. Nature 516, S67S67.CrossRefGoogle Scholar
13.Peng, Y et al. (2017) Application of seasonal auto-regressive integrated moving average model in forecasting the incidence of hand-foot-mouth disease in Wuhan, China. Journal of Huazhong University of Science and Technology. Medical Sciences 37, 842848.Google ScholarPubMed
14.World Health Organization (2011) A Guide to Clinical Management and Public Health Response for Hand, Foot and Mouth Disease (HFMD). Manila, Philippines: World Health Organization. Available at http://www.wpro.who.int/emerging_diseases/documents/HFMDGuidance/en/ (accessed 23 May, 2018).Google Scholar
15.Wang, L et al. (2008) Emergence and control infectious diseases in China. The Lancet 372, 15981605.CrossRefGoogle ScholarPubMed
16.Takahashi, S et al. (2016) Hand, foot, and mouth disease in China: modeling epidemic dynamics of enterovirus serotypes and implications for vaccination. PLoS Medicine 13, e1001958.CrossRefGoogle Scholar
17.Ren, M et al. (2010) Epidemiological analysis of 3163 patients with hand-foot-mouth disease in Qinhuangdao City, Hebei Province during 2008 and 2009. China Journal of Health Education 26, 111113.Google Scholar
18.Chen, C, Xiao, XC and Ding, P (2012) Analysis of repeated infection in hand-foot-mouth disease cases in Guangzhou from 2008 to 2011. Chinese Journal of Tropical Medicine 12, 934936.Google Scholar
19.Luo, L et al. (2015) Research progress on seroepidemiological study of enterovirus 71 and coxsackievirus A16 infection among children. Chinese Journal of Preventive Medicine 49, 184187.Google ScholarPubMed
20.Xie, Q et al. (2012) Survey on the status of repeated infections of hand, foot and mouth disease in Pingdingshan City, 2008–2010. Chinese Journal of Disease Control and Prevention 16, 315317.Google Scholar
21.Pan, JJ et al. (2012) Analysis of incidence of repeated infection and influencing factors of hand-foot-mouth disease in Henan Province, China. Chinese Journal of Tropical Medicine 12, 10911093.Google Scholar
22.Wu, JT et al. (2016) Routine pediatric Enterovirus 71 vaccination in China: a cost-effectiveness analysis. PLoS Medicine 13, e1001975.CrossRefGoogle Scholar
23.Wang, Y et al. (2015) Enterovirus 71 infection in children with hand, foot, and mouth disease in Shanghai, China: epidemiology, clinical feature and diagnosis. Virology Journal 12, 83.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Basic characteristics of HFMD cases, 2008–2015, Wuhan

Figure 1

Table 2. Reinfection rates of HFMD by social demographic characteristics

Figure 2

Fig. 1. The Kaplan–Meier curves showing the cumulative hazard of HFMD reinfection.

Figure 3

Table 3. Results from Cox-proportional hazard regression model depicting the risk of HFMD reinfection