TheRiskFactorsofAcquiringSevereHand,Foot,andMouth Disease...

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Review Article The Risk Factors of Acquiring Severe Hand, Foot, and Mouth Disease: A Meta-Analysis Bai Jun Sun, 1,2 Hui Jie Chen, 2 Ye Chen, 2 Xiang Dong An, 2 and Bao Sen Zhou 1 1 Department of Epidemiology, China Medical University, Shenyang, Liaoning 110000, China 2 Department of Infectious Disease, Shenyang Center for Disease Control and Prevention, Shenyang, Liaoning 110031, China Correspondence should be addressed to Bao Sen Zhou; [email protected] Received 5 February 2018; Accepted 22 April 2018; Published 26 June 2018 Academic Editor: Pascal ibon Copyright © 2018 Bai Jun Sun et al. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Objectives. e incidence of severe hand, foot, and mouth disease (HFMD) is not low, especially in mainland China in almost every year recently. In this study, we conducted a meta-analysis to generate large-scale evidence on the risk factors of severe HFMD to provide suggestions on prevention and controlling. Methods. PubMed, Web of Science, Embase, Cochrane Library, China National Knowledge Infrastructure (CNKI), and Wanfang (Chinese) were searched to identify relevant articles. All analyses were performed using Stata 14.0. Results. We conducted a meta-analysis of 11 separate studies. Fever (odds ratio (OR) 7.396, 95% confidence interval (CI) 3.565–15.342), fever for more than 3 days (OR 5.773, 95% CI 4.199–7.939), vomiting (OR 6.023, 95% CI 2.598–13.963), limb trembling (OR 42.348, 95% CI 11.765–152.437), dyspnea (OR 12.869, 95% CI 1.948–85.017), contact with HFMD children (OR 5.326, 95% CI 1.263–22.466), rashes on the hips (OR 1.650, 95% CI 1.303–2.090), pathologic reflexes (OR 3057.064, 95% CI 494.409–19000), Lethargy (OR 31.791, 95% CI 3.369–300.020), convulsions (OR 23.652, 95% CI 1.973–283.592), and EV71 infection (OR 9.056, 95% CI 4.102–19.996) were significantly related to the risk of severe HFMD. We did not find an association between female sex (OR 0.918, 95% CI 0.738–1.142), scatter-lived children (OR 1.347, 95% CI 0.245–7.397), floating population (OR 0.847, 95% CI 0.202–3.549), rash on the hands (OR 0.740, 95% CI 0.292–1.874), rash on the foot (OR 0.905, 95% CI 0.645–1.272), the level of the clinic visited first (below the country level) (OR 5.276, 95% CI 0.781–35.630), breast feeding (OR 0.523, 95% CI 0.167–1.643), and the risk of severe HFMD. Conclusions. Fever, fever for more than 3 days, vomiting, limb trembling, dyspnea, contact with HFMD children, rashes on the hips, pathologic reflexes, lethargy, convulsions, and EV71 infection are risk factors for severe HFMD. 1. Introduction Hand, foot, and mouth disease (HFMD) is a common childhood infection disease with characteristic features of fever, oral ulcers, and vesicular rashes on the hands, feet, and buttocks. It is caused by a group of enteroviruses, commonly coxsackie A16 and enterovirus-71 (EV-71). e mode of transmission of HFMD is mainly via the fecal-oral route, respiratory droplets, contact with blister fluid of an infected individual, or general close contact with infected individuals. Most HFMD cases were mild and limited to fever and vesicular exanthema on patients’ palms, soles, and mouth along with discomfortness at certain levels. However, some severe cases with potentially fatal com- plications such as brain stem encephalitis (BE) and/or pulmonary edema (PE) show rapid progression that may lead to serious sequelae, even death. In recent years, more and more outbreaks of severe cases have been reported [1, 2]. Previous studies have shown that close monitoring and timely intervention may prevent the development of severity and avert the death of severe HFMD [3–5]. erefore, it is extremely necessary to identify the risk factors which predict the occurrence of severity. Meta- analysis is a means of increasing the effective sample size under investigation through pooling of data from indi- vidual association studies, thus enhancing the statistical power [6]. In order to identify risk factors of acquiring severe HFMD, prevent deterioration, and reduce acute mortality, we conducted this meta-analysis to determine the risk factors for severe HFMD. Hindawi Canadian Journal of Infectious Diseases and Medical Microbiology Volume 2018, Article ID 2751457, 12 pages https://doi.org/10.1155/2018/2751457

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Review ArticleThe Risk Factors of Acquiring Severe Hand, Foot, and MouthDisease: A Meta-Analysis

Bai Jun Sun,1,2 Hui Jie Chen,2 Ye Chen,2 Xiang Dong An,2 and Bao Sen Zhou 1

1Department of Epidemiology, China Medical University, Shenyang, Liaoning 110000, China2Department of Infectious Disease, Shenyang Center for Disease Control and Prevention, Shenyang, Liaoning 110031, China

Correspondence should be addressed to Bao Sen Zhou; [email protected]

Received 5 February 2018; Accepted 22 April 2018; Published 26 June 2018

Academic Editor: Pascal &ibon

Copyright © 2018 Bai Jun Sun et al. &is is an open access article distributed under the Creative Commons Attribution License,which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Objectives. &e incidence of severe hand, foot, and mouth disease (HFMD) is not low, especially in mainland China in almostevery year recently. In this study, we conducted a meta-analysis to generate large-scale evidence on the risk factors of severeHFMD to provide suggestions on prevention and controlling. Methods. PubMed, Web of Science, Embase, Cochrane Library,China National Knowledge Infrastructure (CNKI), andWanfang (Chinese) were searched to identify relevant articles. All analyseswere performed using Stata 14.0. Results. We conducted a meta-analysis of 11 separate studies. Fever (odds ratio (OR) 7.396, 95%confidence interval (CI) 3.565–15.342), fever for more than 3 days (OR 5.773, 95% CI 4.199–7.939), vomiting (OR 6.023, 95% CI2.598–13.963), limb trembling (OR 42.348, 95% CI 11.765–152.437), dyspnea (OR 12.869, 95% CI 1.948–85.017), contact withHFMD children (OR 5.326, 95% CI 1.263–22.466), rashes on the hips (OR 1.650, 95% CI 1.303–2.090), pathologic reflexes (OR3057.064, 95% CI 494.409–19000), Lethargy (OR 31.791, 95% CI 3.369–300.020), convulsions (OR 23.652, 95% CI 1.973–283.592),and EV71 infection (OR 9.056, 95% CI 4.102–19.996) were significantly related to the risk of severe HFMD. We did not find anassociation between female sex (OR 0.918, 95% CI 0.738–1.142), scatter-lived children (OR 1.347, 95% CI 0.245–7.397), floatingpopulation (OR 0.847, 95% CI 0.202–3.549), rash on the hands (OR 0.740, 95% CI 0.292–1.874), rash on the foot (OR 0.905, 95%CI 0.645–1.272), the level of the clinic visited first (below the country level) (OR 5.276, 95% CI 0.781–35.630), breast feeding (OR0.523, 95% CI 0.167–1.643), and the risk of severe HFMD. Conclusions. Fever, fever for more than 3 days, vomiting, limbtrembling, dyspnea, contact with HFMD children, rashes on the hips, pathologic reflexes, lethargy, convulsions, and EV71infection are risk factors for severe HFMD.

1. Introduction

Hand, foot, and mouth disease (HFMD) is a commonchildhood infection disease with characteristic features offever, oral ulcers, and vesicular rashes on the hands, feet,and buttocks. It is caused by a group of enteroviruses,commonly coxsackie A16 and enterovirus-71 (EV-71). &emode of transmission of HFMD is mainly via the fecal-oralroute, respiratory droplets, contact with blister fluid of aninfected individual, or general close contact with infectedindividuals. Most HFMD cases were mild and limited tofever and vesicular exanthema on patients’ palms, soles,and mouth along with discomfortness at certain levels.However, some severe cases with potentially fatal com-plications such as brain stem encephalitis (BE) and/or

pulmonary edema (PE) show rapid progression that maylead to serious sequelae, even death. In recent years, moreand more outbreaks of severe cases have been reported[1, 2]. Previous studies have shown that close monitoringand timely intervention may prevent the development ofseverity and avert the death of severe HFMD [3–5].&erefore, it is extremely necessary to identify the riskfactors which predict the occurrence of severity. Meta-analysis is a means of increasing the effective sample sizeunder investigation through pooling of data from indi-vidual association studies, thus enhancing the statisticalpower [6]. In order to identify risk factors of acquiringsevere HFMD, prevent deterioration, and reduce acutemortality, we conducted this meta-analysis to determinethe risk factors for severe HFMD.

HindawiCanadian Journal of Infectious Diseases and Medical MicrobiologyVolume 2018, Article ID 2751457, 12 pageshttps://doi.org/10.1155/2018/2751457

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2. Materials and Methods

2.1. Study Selection. A systematic search of the literature wasdone in the following electronic databases: PubMed, Web ofScience, Embase, Cochrane Library, China NationalKnowledge Infrastructure (CNKI), and Wanfang (Chinese).&e following keywords were used: severe hand foot mouthdisease (HFMD), risk factors, and case control study. &equality of the included studies was assessed using theNewcastle-Ottawa Scale, and studies achieving six or morepoints were considered to be of high quality.

2.2. Inclusion and Exclusion Criteria. Two investigatorssearched the electronic databases independently according tothe following criteria for inclusion: (1) a case-control studyincluding severe andmild disease patient groups; (2) publishedup to June 2017; (3) diagnosis of severe HFMD and mildHFMD consistent with the criteria defined by us. Abstracts,reviews, case reports, noncomparative studies, and low-qualitystudies were excluded. In cases of disagreement, a third in-vestigator acted as an arbitrator, and the disagreements wereresolved with the research team by discussion.

2.3. Data Extraction and Quality Assessment. &e followingitems were extracted from the included studies: the firstauthor’s name, year of publication, source of publication,type of the study, risk factors, total sample size, number ofsevere and mild HFMD cases, and diagnostic criteria forsevere and mild HFMD.

&e publication bias was evaluated using Egger’s test [7].If P> 0.05, the publication bias exists; otherwise, the pub-lication bias does not exist.

2.4. Definitions. HFMD cases were divided into two groupsaccording to Guidelines on the Diagnosis and Treatment ofHFMD [8].&emild HFMDwas defined as papular/vesicularskin rashes on the hand, foot, mouth, or buttock, and thesevere HFMD was defined as mild HFMD with the additionof neurological, respiratory, or circulatory complications, ordeath. Neurological complications included aseptic menin-gitis, encephalitis, and acute flaccid paralysis [9].&e durationof fever was defined as body temperature ≥37.5°C.

2.5. Meta-Analysis Methods. Stata 14.0 was used for thestatistical analysis. &e odds ratio (OR) and 95% confidenceintervals (CI) were calculated using the fixed effect model orrandom effect model, and the choice for statistical model wasdetermined by their heterogeneity which were assessed bythe X2 and I2 statistics. I2 >50% and X2-statistic (P< 0.1)were considered to show significant heterogeneity, and therandom effect model was adopted; otherwise, the fixed effectmodel was used. &e OR and 95% CI were used as summarystatistics for the comparison of the following risk factors:fever, fever for more than 3 days, vomiting, limb trem-bling, dyspnea, contact with HFMD children, rashes on thehips, pathologic reflexes, lethargy, convulsions, EV71 in-fection, female sex, scatter-lived children, floating population,

rash on the hands, rash on the foot, the level of the clinicvisited first (below the country level), and breast feeding.

&e pooled estimate of risk was obtained by theMantel–Haenszel method in the fixed effect model and bythe M-H heterogeneity method in the random effect model.All P values were 2-sided. A P value less than 0.05 wasconsidered to be statistically significant.

3. Results

3.1. Characteristics of Included Studies. &e first searchstrategy generated 109 studies. Only 11 articles [10–20] metthe inclusion criteria, and they were all carried out in China.&e selection process is shown in Figure 1. All the studieswere of high quality according to the Newcastle-OttawaScale (NOS). &e sample sizes of the included studiesranged from 76 to 761 and amounted to 4082 subjects intotal. &ere were 1640 patients in the severe HFMD groupand 2442 patients in the mild HFMD group. &e study andpatients’ characteristics are summarized in Table 1. &e twogroups were similar with regard to age and gender.

3.2. Risk Factors of Severe HFMD

3.2.1. Patient Clinical Manifestations. In 8 studies, fever wasstrongly related to the risk of severe HFMD (OR 7.396, 95%CI3.565–15.342). In 3 studies, fever for more than 3 days wassignificantly associated with severe HFMD (OR 5.773, 95% CI4.199–7.939). In 3 studies, rashes on the hips or buttocks weresignificantly associated with severe HFMD (OR 1.650, 95% CI1.303–2.090). However, we found no significant associationbetween rash on the palm, rash on the soles, and severeHFMDin 3 studies, respectively (OR 0.740, 95% CI 0.292–1.874 andOR 0.905 95% CI 0.645–1.272) (Table 2; Figures 2–6).

We found that vomiting (OR 6.023, 95% CI 2.598–13.963), limb trembling (OR 42.348, 95% CI 11.765–152.437),dyspnea (OR 12.869, 95% CI 1.948–85.017), pathologic re-flexes (OR 3057.064, 95% CI 494.409–19000), lethargy (OR31.791, 95% CI 3.369–300.020), and convulsions (OR 23.652,95% CI 1.973–283.592) were significantly associated withsevere HFMD (Table 2; Figures 7–12).

3.2.2. Patient Demographic Characteristics. We analyzed theassociation between demographic characteristics of patients andsevere HFMD and found that female gender (OR 1.06, 95% CI0.91–1.24), scatter-lived children (OR 1.06, 95% CI 0.91–1.24),and floating population (OR1.06, 95%CI 0.91–1.24) were all notrelated to the risk of severe HFMD (Table 2; Figures 13–15).

3.2.3. EV71 Infection. Seven studies analyzed the associationbetween EV71 infection and severe HFMD, and the resultssuggest that EV71 infection significantly increased the prob-ability of severe HFMD (OR 9.056, 95% CI 4.102–19.996)(Table 2; Figure 16).

3.2.4. Association between Other Factors and Severe HFMD.Seven studies suggest that contacting with HFMD childrensignificantly increased the risk of severe HFMD (OR 5.326,

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95% CI 1.263–22.466). We found no association between thelevel of the clinic visited first (below the country level) (OR5.276, 95% CI 0.781–35.630), breast feeding (OR 0.523, 95%CI 0.167–1.643), and severe HFMD (Table 2; Figures 17–19).

3.3. Evaluation of Publication Bias. Egger’s test analysis oftotal complications was performed. &e results are shown inTable 3. Seventeen compared factors had no publication bias;one risk factor did (rashes on the hips).

4. Discussion

A recent meta-analysis involving 19 separate studies [21]found that clinical characteristics such as duration of fevermore than 3 days, body temperature ≥37.5°C, lethargy,vomiting, and EV71 infection were significantly related to therisk of severe HFMD which is consistent with our findings.Other than these risk factors, we also found rashes on the hipsor buttocks, limb trembling, dyspnea, pathologic reflexes,convulsions, and contact with HFMD children significantly

Studies identified throughdatabase searching (n = 109)

Studies after removing duplicates(n = 86)

65 studies excluded by review of titleor abstract (50 not relevant,

15 only abstracts)

Full-text articles retrieved formore detailed evaluation (n = 21)

Full-text articles excluded (8 did not meet quality criteria, 2 did not have

available date)

Full-text articles assessed foreligibility (n = 11)

Separate studies included in meta-analysis (n = 19)

Figure 1: Flow chart showing the selection process for the meta-analysis.

Table 1: Characteristics of the included studies and patients into meta-analysis.

Author Year Country Severe HFMD Mild HFMD Study quality(score)

Age (months) Female (%)Severe HFMD versus

mild HFMDSevere HFMD versus

mild HFMDWang et al. [10] 2014 China 60 60 ∗∗∗∗∗∗ 18/17; P � NS 43/36; P � 0.457Yang et al. [11] 2012 China 89 267 ∗∗∗∗∗∗ 24/25; P � 0.345 35/35; P � 1.000Pan et al. [12] 2012 China 105 210 ∗∗∗∗∗∗ 25/32; P � NS 30/45; P � 0.015Liu et al. [13] 2014 China 249 512 ∗∗∗∗∗∗∗ 37/37; P � NS 45/45; P> 0.05Zeng et al. [14] 2013 China 139 304 ∗∗∗∗∗∗ 27/25; P � NS 35/34; P � 0.668Zhang et al. [15] 2017 China 459 246 ∗∗∗∗∗∗∗ 23/23; P � 0.356 35/34; P � 0.976Deng et al. [16] 2016 China 128 88 ∗∗∗∗∗∗ NR 37/39; P � 0.817Li et al. [17] 2013 China 116 202 ∗∗∗∗∗∗ NR 36/28; P � 0.137Pan et al. [18] 2012 China 229 140 ∗∗∗∗∗∗ NR NRLuo et al. [19] 2016 China 30 373 ∗∗∗∗∗∗ NR NRLi [20] 2016 China 36 40 ∗∗∗∗∗∗ 41/39; P � NS 47/48; P> 0.05NR: not reported; NS: not significant.Now the Newcastle-Ottawa scale is mainly applied in the evaluation of case-control study. &e literature was graded interms of selection, comparability, and outcome, and each aspect consists of a number of assessment items.When the items are up to the requirements, one starcan be obtained, of which the comparability can reach a maximum of 2. Six stars (∗∗∗∗∗∗) and more were considered to be of high quality.

Canadian Journal of Infectious Diseases and Medical Microbiology 3

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increased the risk of severe HFMD. However, we found nosignificant association between rash on the palm, rash on thesoles, female gender, scatter-lived children, floating population,the level of the clinic visited first (below the country level),breast feeding, and severe HFMD.

Previous studies on gender have different conclusions:Pan et al. [12] thought that female have a lower risk ofattacking severe HFMD than male; however, Wang et al.[10], Yang et al. [11], and Liu et al. [13] do not think that

there is a connection, and our analysis found that there is noassociation between gender and severe HFMD.

Both male and female have the same opportunities todevelop severe HFMD. Previous studies have also drawndifferent conclusions regarding scatter-lived children andfloating populations: Zhang et al. [15] thought that scatter-lived children reduce the risk of acquiring severe HFMD, butWang et al. [10], Yang et al. [11], and Pan et al. [12] got theopposite conclusion. Zhang et al. [15] thought that floating

Table 2: Meta-analysis of risk factors for the hand, foot, and mouth disease in 18 separate studies.

Risk factors Numberof studies

SevereHFMD

MildHFMD OR (95% CI)

Test of heterogeneity

Yes No Yes No Model Chi-square P value I2 (%)Female 4 202 301 438 611 0.918 (0.738, 1.142) F 5.94 0.115 49.5Scatter-lived/sporadic children 4 370 343 515 268 1.347 (0.245, 7.397) R 108.61 ≤0.001 97.2Floating population/migrant 4 307 485 377 650 0.847 (0.202, 3.549) R 94.44 ≤0.001 96.8Fever 8 1334 34 1176 371 7.396 (3.565, 15.342) R 18.6 0.005 67.7Fever for more than 3 days 3 207 124 99 370 5.773 (4.199, 7.939) F 4.39 0.111 54.5Vomiting 6 478 603 132 870 6.023 (2.598, 13.963) R 59.18 ≤0.001 91.6Limb trembling/shaking 4 588 343 46 630 42.348 (11.765, 152.437) R 21.76 ≤0.001 86.2Dyspnea/breathlessness 4 210 721 29 647 12.869 (1.948, 85.017) R 23.81 ≤0.001 87.4Contact with HFMD children 4 215 269 84 832 5.326 (1.263, 22.466) R 54.58 ≤0.001 94.5Rash on the palm/hands 3 700 75 601 52 0.740 (0.292, 1.874) R 10.73 0.005 81.4Rash on the soles/foot 3 680 92 558 93 0.905 (0.645, 1.272) F 0.2 0.904 0Rashes on the hips/buttocks 3 533 237 368 285 1.650 (1.303, 2.090) F 2.16 0.340 7.2Level of the clinic visitedfirst (below the country level) 3 238 160 114 725 5.276 (0.781, 35.630) R 65.87 ≤0.001 97

Breast feeding 3 613 196 824 129 0.523 (0.167, 1.643) R 30.46 ≤0.001 93.4Pathologic reflexes 3 267 13 0 330 3057.064 (494.409, 19000) F 3.09 0.213 35.3Lethargy/hypersomnia 5 278 344 25 732 31.791 (3.369, 300.020) R 76.16 ≤0.001 94.7Convulsions/twitch 5 334 676 25 1083 23.652 (1.973, 283.592) R 104.46 ≤0.001 96.2EV71 infection 7 521 149 586 1012 9.056 (4.102, 19.996) R 56.03 ≤0.001 89.3OR, odds ratio; CI, confidence interval; HFMD, hand, foot, and mouth disease; EV71, enterovirus 71; R, random effect model; F, fixed effect model.

7.40 (3.56, 15.34)

(Excluded)

11.95 (2.82, 50.66)

7.34 (2.92, 18.44)

17.19 (8.31, 35.56)

21.39 (5.14, 88.90)

6.85 (2.21, 21.22)

1.17 (0.37, 3.77)

4.67 (1.45, 15.05) 13.96

100.00

0.00

11.75

14.31

13.99

17.92

16.17

11.90

OR (95% CI) Weight (%)

Overall (I-squared = 67.7%, p = 0.005)

Note: weights are from random effects analysis

Li et al. [17]

Li [20]

Deng et al. [16]

Pan et al. [18]

Liu et al. [13]

Yang et al. [11]

Wang et al. [10]

Zhang et al. [15]

StudyID

88.90.0112 1

Figure 2: Forest plots showing the results of the meta-analysis regarding fever.

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children have a lower risk of acquiring severe HFMD;however, Zeng et al. [14] found a higher risk between them.Yang et al. [11] and Pan et al. [12] did not find any association.Our analysis found both scatter-lived children and floatingpopulations is not related to the risk of severe HFMD.

Oral ulcers and vesicular rashes on the hands, feet, andhip/buttocks are common signs of HFMD; however, rashes

on different parts can lead to different levels of severity ofHFMD. Previous studies regarding rashes on the hands andrashes on the hips have different conclusions: Yang et al. [11]thought that rashes on the hands are protective factors ofHFMD, and other two studies found no association betweenthem; Zhang et al. [15] thought that rashes on the hips arerisk factors of HFMD, and other two studies found no

Overall (I-squared = 54.5%, p = 0.111)

Li et al. [17]

Yang et al. [11]

StudyID OR (95% CI)

3.66 (2.12, 6.31)

6.45 (3.52, 11.83)

8.09 (4.78, 13.68)

5.77 (4.20, 7.94)

Weight (%)

42.23

27.09

30.69

100.00

Deng et al. [16]

10.0731 13.7

Figure 3: Forest plots showing the results of the meta-analysis regarding fever for more than 3 days.

StudyID OR (95% CI)

0.25 (0.11, 0.58)

1.22 (0.75, 2.01)

1.17 (0.54, 2.53)

0.74 (0.29, 1.87)

Weight (%)

30.84

36.99

32.17

100.00

0.108

Yang et al. [11]

Zhang et al. [15]

Pan et al. [18]

Overall (I-squared = 81.4%, p = 0.005)

Note: weights are from random effects analysis

1 9.25

Figure 4: Forest plots showing the results of the meta-analysis regarding rash on the hands.

StudyID OR (95% CI)

0.86 (0.49, 1.52)

0.88 (0.54, 1.45)

1.06 (0.48, 2.34)

0.91 (0.65, 1.27)

Weight (%)

35.30

47.84

16.86

100.00

0.427

Yang et al. [11]

Zhang et al. [15]

Pan et al. [18]

Overall (I-squared = 0.0%, p = 0.904)

1 2.34

Figure 5: Forest plots showing the results of the meta-analysis regarding rash on the foot.

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StudyID OR (95% CI)

1.40 (0.86, 2.28)

1.93 (1.41, 2.64)

1.30 (0.77, 2.20)

1.65 (1.30, 2.09)

Weight (%)

25.81

51.48

22.71

100.00

0.378

Yang et al. [11]

Zhang et al. [15]

Pan et al. [18]

Overall (I-squared = 7.2%, p = 0.340)

1 2.64

Figure 6: Forest plots showing the results of the meta-analysis regarding rashes on the hips.

StudyID

Wang et al. [10]

Zhang et al. [15]

Yang et al. [11]

Deng et al. [16]

Li et al. [17]

Pan et al. [18]

Overall (I-squared = 91.6%, p = 0.000)

Note: weights are from random effects analysis

OR (95% CI) Weight (%)

4.64 (1.94, 11.09)

48.99 (16.75, 143.26)

5.29 (3.44, 8.12)

9.42 (4.88, 18.17)

5.35 (3.14, 9.11)

1.17 (0.75, 1.83)

6.02 (2.60, 13.96)

15.62

14.38

17.89

16.84

17.46

17.82

100.00

0.00698 1 143

Figure 7: Forest plots showing the results of the meta-analysis regarding vomiting.

StudyID OR (95% CI)

30.36 (16.83, 54.77)

54.23 (20.13, 146.06)

2192.59 (131.12, 36663.72)

8.75 (4.23, 18.10)

42.35 (11.76, 152.44)

Weight (%)

30.52

27.30

12.66

29.53

100.00

2.7e – 05

Zhang et al. [15]

Deng et al. [16]

Li et al. [17]

Pan et al. [18]

Overall (I-squared = 86.2%, p = 0.000)

Note: weights are from random effects analysis

1 36664

Figure 8: Forest plots showing the results of the meta-analysis regarding limb trembling.

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StudyID OR (95% CI)

9.30 (3.34, 25.89)

220.10 (13.37, 3623.83)

27.74 (1.57, 490.29)

2.07 (1.23, 3.46)

12.87 (1.95, 85.02)

Weight (%)

30.04

19.10

18.70

32.16

100.00

0.00028

Zhang et al. [15]

Deng et al. [16]

Li et al. [17]

Pan et al. [18]

Overall (I-squared = 87.4%, p = 0.000)

Note: weights are from random effects analysis

1 3624

Figure 9: Forest plots showing the results of the meta-analysis regarding dyspnea.

StudyID OR (95% CI)

45489.00 (894.23, 2314009.75)

4582.89 (264.19, 79499.24)

585.00 (30.38, 11266.49)

3057.06 (494.41, 18902.64)

Weight (%)

2.56

33.11

64.34

100.00

4.3e – 07

Deng et al. [16]

Li et al. [17]

Li [20]

Overall (I-squared = 35.3%, p = 0.213)

1 2.3e + 06

Figure 10: Forest plots showing the results of the meta-analysis regarding pathologic reflexes.

StudyID

Wang et al. [10]

Yang et al. [11]

Deng et al. [16]

Li et al. [17]

Pan et al. [18]

Overall (I-squared = 94.7%, p = 0.000)

Note: weights are from random effects analysis

OR (95% CI) Weight (%)

3.25 (1.30, 8.14)

33.43 (11.34, 98.53)

507.40 (108.41, 2374.89)

968.48 (58.69, 15982.65)

1.63 (0.79, 3.40)

31.79 (3.37, 300.02)

21.23

20.94

19.94

16.38

21.51

100.00

6.3e – 05 1 15983

Figure 11: Forest plots showing the results of the meta-analysis regarding lethargy.

Canadian Journal of Infectious Diseases and Medical Microbiology 7

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StudyID

Wang et al. [10]

Liu et al. [13]

Zhang et al. [15]

Deng et al. [16]

Li et al. [17]

Overall (I-squared = 96.2%, p = 0.000)

Note: weights are from random effects analysis

OR (95% CI) Weight (%)

5.32 (2.16, 13.10)

639.77 (261.89, 1562.88)

1.98 (0.93, 4.22)

14.94 (3.48, 64.11)

96.43 (5.79, 1606.57)

23.65 (1.97, 283.59)

20.96

20.97

21.13

20.06

16.88

100.00

0.00062 1 1607

Figure 12: Forest plots showing the results of the meta-analysis regarding convulsions.

0.92 (0.74, 1.14)

1.00 (0.60, 1.65)

1.03 (0.76, 1.39)

0.54 (0.33, 0.89)

1.32 (0.63, 2.75)

100.00

18.02

48.67

25.90

7.41

OR (95% CI) Weight (%)

Overall (I-squared = 49.5%, p = 0.115)

StudyID

Yang et al. [11]

Liu et al. [13]

Pan et al. [12]

Wang et al. [10]

3.040.329 1

Figure 13: Forest plots showing the results of the meta-analysis regarding female gender.

1.35 (0.25, 7.40)

2.54 (1.45, 4.46)

0.16 (0.11, 0.23)

2.05 (1.24, 3.38)

5.12 (1.06, 24.79)

100.00

25.90

26.34

26.06

21.70

OR (95% CI) Weight (%)

Overall (I-squared = 97.2%, p = 0.000)

Note: weights are from random effects analysis

Yang et al. [11]

Zhang et al. [15]

Pan et al. [12]

Wang et al. [10]

StudyID

24.80.0403 1

Figure 14: Forest plots showing the results of the meta-analysis regarding scatter-lived children.

8 Canadian Journal of Infectious Diseases and Medical Microbiology

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association between them. Our studies confirm previousconclusions about the relationship between rashes on thefeet and severe HFMD but found there is no associationbetween rashes on the hands and severe HFMD and alsofound that rashes on the hips are risk factors. &ese remindus to pay close attention to those kinds of patients whoserashes on the hips.

Most of previous studies included in our meta-analysisfound that fever, vomiting, lethargy, convulsions, andcontact with HFMD children are risk factors of severeHFMD, and our study confirmed it. Our study also con-firmed that severe HFMD is associated with fever for morethan 3 days, limb trembling/shaking, dyspnea, pathologicreflexes, and EV71 infection again. Any of these factors

increase the possibility of developing severe HFMD.&erefore, early recognition and meticulous management ofpatients with these risk factors are required [22, 23].

EV71 invades the central nervous system causing severedisease ranging from meningitis to fatal encephalitis [24].In our study, we retrieved 7 studies that analyzed the as-sociation between EV71 infection and severe HFMD, andthe meta-analysis showed that EV71 infection was signifi-cantly associated with the development of severe HFMD.Enterovirus 71 (EV71) is the key pathogen of HFMD, ac-counting for 70% severe HFMD cases and 90% HFMD-related deaths [25] &erefore, EV71 vaccine development isvery important in preventing severe HFMD epidemics. OnDecember 3, 2015, the China Food and Drug Administration

0.85 (0.20, 3.55)

1.74 (0.72, 4.16)

0.15 (0.10, 0.22)

2.35 (1.53, 3.61)

0.90 (0.53, 1.52)

100.00

23.77

25.56

25.48

25.19

OR (95% CI) Weight (%)

Overall (I-squared = 96.8%, p = 0.000)

Note: weights are from random effects analysis

Pan et al. [12]

Zhang et al. [15]

Zeng et al. [14]

Yang et al. [11]

StudyID

100.0997 1

Figure 15: Forest plots showing the results of the meta-analysis regarding floating population.

StudyID

Yang et al. [11]

Pan et al. [12]

Liu et al. [13]

Zeng et al. [14]

Deng et al. [16]

Li et al. [17]

Luo et al. [19]

Overall (I-squared = 89.3%, p = 0.000)

Note: weights are from random effects analysis

OR (95% CI) Weight (%)

13.92 (6.20, 31.25)

80.80 (34.98, 186.64)

3.37 (1.71, 6.67)

8.91 (5.16, 15.39)

9.91 (4.81, 20.41)

2.54 (1.50, 4.29)

7.02 (3.03,16.26)

9.06 (4.10, 20.00)

13.69

13.84

14.44

15.01

14.25

15.10

13.68

100.00

0.00536 1 187

Figure 16: Forest plots showing the results of the meta-analysis regarding EV71 infection.

Canadian Journal of Infectious Diseases and Medical Microbiology 9

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StudyID OR (95% CI)

2.19 (0.99, 4.83)

2.15 (1.24, 3.71)

29.94 (19.13, 46.85)

5.28 (0.78, 35.63)

Weight (%)

32.58

33.56

33.86

100.00

0.0213

Wang et al. [10]

Yang et al. [11]

Liu et al. [13]

Overall (I-squared = 97.0%, p = 0.000)

Note: weights are from random effects analysis

1 46.8

Figure 18: Forest plots showing the results of the meta-analysis regarding the level of the clinic visited first (below the country level).

StudyID OR (95% CI)

1.44 (0.88, 2.35)

0.19 (0.11, 0.32)

0.51 (0.31, 0.86)

0.52 (0.17, 1.64)

Weight (%)

33.47

33.21

33.32

100.00

0.114

Liu et al. [13]

Zhang et al. [15]

Li et al. [17]

Overall (I-squared = 93.4%, p = 0.000)

Note: weights are from random effects analysis

1 8.75

Figure 19: Forest plots showing the results of the meta-analysis regarding breast feeding.

StudyID OR (95% CI)

2.51 (1.14, 5.52)

22.70 (14.31, 36.00)

1.63 (0.89, 2.96)

8.60 (2.99, 24.78)

5.33 (1.26, 22.47)

Weight (%)

24.83

26.10

25.64

23.43

100.00

0.0278

Wang et al. [10]

Liu et al. [13]

Zeng et al. [14]

Li [20]

Overall (I-squared = 94.5%, p = 0.000)

Note: weights are from random effects analysis

1 36

Figure 17: Forest plots showing the results of the meta-analysis regarding contact with HFMD children.

10 Canadian Journal of Infectious Diseases and Medical Microbiology

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(CFDA) approved the first inactivated enterovirus 71 (EV71)whole virus vaccine for preventing severe hand, foot, andmouth disease (HFMD) [26]. In Mainland China, phase IIIclinical trials showed that all three EV71 vaccines had goodsafety and protective efficacy in infants. &e protection ratesagainst the EV71-caused HFMD were 97.4%, 94.8%, and90.0%, respectively, following EV71 vaccination [27–29].HFMD has become a serious public health issue over thepast decades in the Asia-Pacific countries [9]. InactivatedEV71 vaccine will be a valuable tool in protecting children’shealth in Mainland China and other countries with highHFMD prevalence.

In recent years, coxsackievirus A6 (CV-A6) has causedwidespread concern around the world and has graduallyemerged as a major pathogen of the hand-foot-mouthdisease (HFMD) [30]. &e infection caused by CV-A6 ismore likely to present with atypical clinical symptomscompared with that by EV-A71 (enterovirus 71, EV-A71)and CV-A16 (coxsackievirus A16, CV-A16) [31], and de-toxification is a common clinical manifestation of HFMDcaused by CV-A6 [32]. In severe cases, neurologicalsymptoms, aseptic meningitis, and encephalitis occur [33].However, the current researches on Cox A6 are not com-prehensive, and there is a lack of a case-control study on therisk factors of CV-A6.&erefore, more research is needed oncoxsackie A6.

Liu et al. [13] reported that the level of the clinic visitedfirst (below the country level) has a marked impact on severeHFMDdevelopment. However, our study did not come to thesame conclusion. In addition, Zhang et al. [15] found breastfeeding is a protective factor. However, our study did notproduce the same results also.&eremay be less to do with thenumber of studies being included and the less number ofsamples. &erefore, further studies are needed to be con-ducted to confirm the association between the level of the

clinic visited first and severe HFMD as well as the associationbetween breast feeding and severe HFMD.

5. Conclusions

In conclusion, we found that eleven factors are associatedwith the severity of HFMD. Previous conclusion regardingthe association between fever (body temperature ≥37.5°C),fever more than 3 days, lethargy, vomiting, and EV71 in-fection and severe HFMD was consistent with our findings.Also, we found rashes on the hips or buttocks, limbtrembling/shaking, dyspnea/breathlessness, pathologic re-flexes, convulsions/twitch, and contact with HFMD childrensignificantly increased the risk of severe HFMD. But, wefound no significant association between rashes on the palm,rashes on the soles, female gender, scatter-lived children,floating population/migrant, the level of the clinic visitedfirst (below the country level), breast feeding, and severeHFMD. Further studies are needed to confirm our findings.

Conflicts of Interest

&e authors declare that they have no conflicts of interest.

Acknowledgments

&e authors thank Professor Bao Sen Zhou for the valuableadvice and critical reading of the manuscript.

References

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Table 3: Egger’s test of all risk factors.

Risk factors Number ofstudies

Egger’s test Publication bias(yes or no) Model

t value P valueFemale 4 −0.12 0.916 No FScatter-lived children 4 1.18 0.361 No RFloating population 4 0.58 0.620 No RFever 8 −0.74 0.492 No RFever for more than 3 days 3 −0.04 0.976 No FVomiting 6 1.68 0.168 No RLimb trembling 4 1.36 0.306 No RDyspnea 4 3.51 0.072 No RContact with HFMD children 4 −0.72 0.548 No RRash on the hands 3 −1.00 0.499 No RRash on the foot 3 1.92 0.306 No FRashes on the hips 3 −84.52 0.008 Yes FLevel of the clinic visited first(below the country level) 3 −1.10 0.470 No R

Breast feeding 3 −9.69 0.065 No RPathologic reflexes 3 1.18 0.448 No FLethargy 5 3.09 0.054 No RConvulsions 5 0.40 0.718 No REV71 infection 7 1.83 0.126 No RR, random effect model; F, fixed effect model.

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12 Canadian Journal of Infectious Diseases and Medical Microbiology

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