Literature DB >> 33122910

Prognostic Value of Neutrophil-to-Lymphocyte Ratio in Predicting Death Risk in Patients with Severe Hand, Foot and Mouth Disease.

Yaping Li1, Muqi Wang1, Wenjun Wang1, Dandan Feng1, Huiling Deng1,2, Yufeng Zhang2, Shuangsuo Dang1, Song Zhai1.   

Abstract

INTRODUCTION: Severe hand, foot, and mouth disease (HFMD) may lead to serious complications, which cause child mortality during outbreaks. The aim of this study was to determine whether neutrophil-to-lymphocyte ratio (NLR) can predict death risk in severe HFMD.
METHODS: Medical records for 664 severe HFMD patients were retrospectively examined, and NLR was calculated from blood counts. Youden's index was calculated to determine the optimal NLR cutoff. Uni- and multivariate logistic regression were used to determine death risk factors associated with severe HFMD.
RESULTS: An NLR cutoff value of 2.01 and 2.50 respectively predicted mortality among all 664 severe HFMD and 137 critical HFMD. Among all 664 patients, the multivariate model identified the following as independently associated with death risk: high fever (OR 3.342, 95% CI 1.736-6.432), EV71 infection (OR 3.200, 95% CI 1.529-6.698), fasting glucose (OR 37.343, 95% CI 18.616-74.909), and NLR (>2.01) (OR 2.142, 95% CI 1.125-4.079). Among 137 critical HFMD, EV71 infection (OR 3.441, 95% CI 1.132-10.462), fasting glucose (OR 14.173, 95% CI 4.920-40.827), and NLR (>2.50) (OR 4.166, 95% CI 1.570-11.051) were associated with death risk.
CONCLUSION: In conclusion, NLR (>2.01) in severe HFMD and NLR (>2.50) in critical HFMD patients may be associated with increased death risk.
© 2020 Li et al.

Entities:  

Keywords:  enterovirus 71; foot and mouth disease; hand; neutrophil-to-lymphocyte ratio; risk factor

Year:  2020        PMID: 33122910      PMCID: PMC7591077          DOI: 10.2147/TCRM.S268130

Source DB:  PubMed          Journal:  Ther Clin Risk Manag        ISSN: 1176-6336            Impact factor:   2.423


Introduction

Hand, foot and mouth disease (HFMD) is a common acute infectious disease caused by a variety of human enterovirus. It usually affects infants and children and typically involves fever, painful mouth sores and a skin rash, among other symptoms.1 Most children with HFMD have mild symptoms, but some children with severe disease can suffer life-threatening complications, such as encephalitis, acute pulmonary oedema and cardiopulmonary failure. HFMD in such patients can progress rapidly with high morbidity and mortality.2–4 Most HFMD patients are given symptomatic treatments and effective therapies are lacking. From 2008 to 2019, 24 million HFMD infections in children were reported in China, approximately 45% of which were associated with enterovirus 71 (EV71). This virus accounted for nearly all 3735 fatal infections during that period, based on data from the National Health Commission (). HFMD outbreaks and the associated high mortality have caused an important public health problem in China.5,6 It is therefore important to search for factors that can be assessed at a patient’s first clinical visit to predict whether he or she will develop severe or life-threatening illness. This would aid clinical decision-making and disease management. Markers of inflammation may be useful for predicting prognosis of HFMD patients, since children with severe HFMD show perturbations of cellular and humoral immunity. One candidate marker is the neutrophil-to-lymphocyte ratio (NLR), which is measured routinely in peripheral blood and serves as an index of systemic inflammation.7 The NLR is calculated by dividing the neutrophil count by the lymphocyte count.8 NLR is already used as an easily accessible inflammatory marker in adults with acute respiratory distress syndrome,9 spontaneous bacterial peritonitis,10 ischaemic heart disease, metabolic disease, cancer and other medical conditions.11 In children, NLR can differentiate between viral and bacterial pneumonia,12,13 and it can be a useful diagnostic marker of acute appendicitis and acute infection.12,14 NLR may also correlate positively with other commonly used inflammatory markers. Here we conducted what appears to be the first investigation of whether NLR has prognostic potential in HFMD. In this large retrospective study, we analysed the relationship of NLR with severe HFMD-associated death.

Materials and Methods

Study Population

This retrospective study analysed medical records of 664 Chinese patients with severe HFMD who were admitted to Xi’an Jiaotong University Second Affiliated Hospital or to Xi’an Children’s Hospital between January 2012 and October 2016. Among the 664 patients with severe HFMD, 137 were diagnosed with critical HFMD and 97 died. This study was approved by the Medical Ethics Committees at both hospitals. Patients were diagnosed with HFMD using the Hand, Foot and Mouth Disease Clinical Guide (2010 edition) issued by the National Health Commission of  the People's Republic of China.15 These guidelines define HFMD in terms of symptoms and signs occurring during epidemics in preschool children, as well as the presence of typical exanthema on the hands, feet, mouth and/or buttocks, with or without fever. Patients were diagnosed with mild HFMD if they had rashes on their hands, feet, mouths, and/or buttocks, with or without fever. Patients were diagnosed with severe HFMD if they had neurological, respiratory or circulatory manifestations. Patients were diagnosed with critical HFMD if they showed (1) frequent convulsions, coma or cerebral hernia; (2) dyspnoea, cyanosis, bloody frothy sputum, or pulmonary rales; or (3) shock and circulatory failure. We have excluded from other underlying diseases.

Data Collection

The ethics committees of the hospitals approved the protocol for the study and all patient data accessed complied with relevant data protection and privacy regulations. Detailed demographic data including age, sex and clinical characteristics were independently extracted from medical records by three authors (LYP, ZS, DHL). Data on clinical manifestations were collected, which included peak fever temperature; vomiting; and neurological, respiratory, and circulatory manifestations. Laboratory data at the time of admission were collected on enterovirus infection, procalcitonin (PCT), white blood cell (WBC) count, fasting glucose, and NLR.

Statistical Analysis

All statistical analyses were performed using SPSS 17.0 (IBM, Chicago, IL, USA). Continuous variables were summarised as mean ± SD or median (range), and differences were assessed for significance using the Wilcoxon rank-sum test or Student’s t test. Categorical variables were summarised as numbers and percentages, and differences between cases (patients who died from HFMD) and controls (patients who survived) were assessed for significance using the χ2 test. Patients who survived served as the reference group for calculating odds ratios (ORs) and associated 95% confidence intervals (95% CIs). Univariate and multivariate logistic regression analyses were used to identify death risk factors associated with severe or critical HFMD. Receiver operating characteristic (ROC) curves were generated to define optimal NLR cutoff values. Significance for all statistical tests was defined to be P < 0.05.

Results

Patient Characteristics and Risk Factors for Severe HFMD

This study involved 664 patients diagnosed with severe HFMD (Table 1), ranging in age from 6 months to 72 months, which were divided into two groups as ≤3 years old (n=526, 79.2%) and 3–6 years old (n=138, 20.8%). Patients who survived (n=567, 85.4%) or died (n=97, 14.6%) of HFMD differed significantly in terms of age, peak temperature, central nervous symptoms, cardiopulmonary systems, fasting glucose (>8.3 mmol/L), current EV71 infection and NLR median (range) [1.92 (0.20, 19.35) vs 3.43 (0.62, 13.85), P < 0.001].
Table 1

Clinicodemographic Characteristics of Patients with Severe HFMD

CharacteristicsSurvived (n=567)Died (n=97)P
Male/Female359/20859/380.639
Age, yr0.006
 ≤3439 (77.4)87 (76.8)
 >3–6128 (22.6)10 (20.2)
Rash567 (100.0)97 (100.0)
 Fever566 (99.8)97 (100.0)
 Duration of fever >3 d448 (79.2)72 (74.2)0.276
Temperature (°C)<0.001
37.3 to ≤3860 (10.6)0 (0)
38–39218 (38.4)19 (19.6)
39–40289 (51.0)78 (80.4)
Hypersomnia458 (96.6)91 (93.8)0.190
Hyperarousal294 (62.0)91 (93.8)<0.001
Limb shaking392 (82.7)83 (85.6)0.492
Convulsion99 (20.9)18 (18.6)0.605
Vomiting350 (61.7)64 (66.0)0.425
Pathologic reflexes562 (99.1)97 (100.0)
Dyspnea36 (6.30)97 (100.0)
Circulatory disturbance40 (7.05)97 (100.0)
PCT (>0.20 ng/mL)243 (42.9)49 (50.5)0.160
NLR, median (range)1.92 (0.20, 19.35)3.43 (0.62, 13.85)<0.001
NLR, mean±SD2.69 ± 2.444.17 ± 2.81
NLR (≤3 yr, n=526)2.43 ±2.203.91 ±2.73<0.001
NLR (3–6 yr, n=138)3.63 ±2.946.46 ±2.63<0.001
NLR>2.01271 (47.8)75 (77.3)<0.001
Fasting blood glucose level > 8.3 mmol/L78 (13.8)86 (88.7)<0.001
EV71-positivity366 (64.6)84 (86.6)<0.001
Death#0 (0)97 (14.6)

Notes: Values are n or n (%), unless otherwise noted. #Causes of death were acute pulmonary oedema, brainstem encephalitis and circulatory failure.

Abbreviations: HFMD, hand, foot, and mouth disease; EV71, enterovirus 71; WBC, white blood cell; NLR, neutrophil/lymphocyte ratio.

Clinicodemographic Characteristics of Patients with Severe HFMD Notes: Values are n or n (%), unless otherwise noted. #Causes of death were acute pulmonary oedema, brainstem encephalitis and circulatory failure. Abbreviations: HFMD, hand, foot, and mouth disease; EV71, enterovirus 71; WBC, white blood cell; NLR, neutrophil/lymphocyte ratio. Based on Youden’s analysis, the ROC curve and interactive dot diagram for calculating the optimal cutoff value of NLR in predicting mortality is shown in Figure 1. An NLR cutoff value of 2.01 was used to classify patients into groups with high NLR (NLR > 2.01) or low NLR (NLR ≤ 2.01). The high-NLR group showed significantly higher death risk than the low-NLR group (P < 0.001).
Figure 1

ROC curve and interactive dot diagram for calculating optimal cutoff value of NLR in in predicting mortality generated for 664 patients with critical HFMD.

ROC curve and interactive dot diagram for calculating optimal cutoff value of NLR in in predicting mortality generated for 664 patients with critical HFMD. Univariate analysis of 664 patients (567 survived, 97 died) revealed significant differences (P < 0.001) in the frequency of fasting blood glucose >8.3 mmol/L, current EV71 infection, and NLR > 2.01. Multivariate analysis identified the following as independently associated with risk of death from severe HFMD (Table 2): high fever (>39.0 °C) (OR 3.342, 95% CI 1.736–6.432), EV71 infection (OR 3.200, 95% CI 1.529–6.698), fasting glucose (OR 37.343, 95% CI 18.616–74.909), and NLR > 2.01 (OR 2.142, 95% CI 1.125–4.079).
Table 2

Analysis of Potential Risk Factors for Severe HFMD

Risk FactorsUnadjusted ORAdjusted#
Gender1.112 (0.714–1.730)1.131 (0.615–2.079)
Age0.394 (0.199–0.781)**0.557 (0.234–1.323)
High fever (> 39.0°C)3.949 (2.330–6.694)***3.342 (1.736–6.432)***
EV71-positivity3.549 (1.930–6.524)***3.200 (1.529–6.698)**
Fasting glucose > 8.3 mmol/L49.014 (25.042–95.935)***37.343 (18.616–74.909)***
NLR > 2.013.724 (2.252–6.157)***2.142 (1.125–4.079) *

Notes: Values are OR (95% CI). #In multivariate logistic regression model (n = 664), we controlled for age, gender, High fever (> 39.0°C), EV71-seropositivity, fasting glucose and NLR > 2.01. *P < 0.05, **P < 0.01, ***P < 0.001

Abbreviations: EV71, enterovirus 71; NLR, neutrophil/lymphocyte ratio.

Analysis of Potential Risk Factors for Severe HFMD Notes: Values are OR (95% CI). #In multivariate logistic regression model (n = 664), we controlled for age, gender, High fever (> 39.0°C), EV71-seropositivity, fasting glucose and NLR > 2.01. *P < 0.05, **P < 0.01, ***P < 0.001 Abbreviations: EV71, enterovirus 71; NLR, neutrophil/lymphocyte ratio.

Characteristics of Patients with Severe or Critical HFMD and Risk Factors for Mortality

The study involved 664 patients diagnosed with critical HFMD, including 137 with critical disease and 97 who died (Table 3). Patients who survived or died differed significantly in age, fasting glucose >8.3 mmol/L, EV71 infection and NLR median (range) [1.87 (0.25–14.08) vs 3.43 (0.62–13.85), P < 0.001].
Table 3

Clinicodemographic Characteristics of Patients with Critical HFMD Who Died or Survived During the Study Period

Relevant FactorsSurvived (n=40)Died (n=97)P
Male/female27/1359/380.462
Age, yr0.027
 ≤330 (75.0)87 (89.7)
 >310 (25.0)10 (10.3)
Rash40 (100.0)97 (100.0)
Fever40 (100.0)97 (100.0)
Duration of fever >3 d34 (85.0)72 (74.2)0.171
Peak temperature (>39 °C)30 (75.0)78 (80.4)0.481
Hypersomnia40 (100.0)91 (93.8)
Hyperarousal39 (97.5)91 (93.8)0.290
Limb shaking35 (87.5)83 (85.6)0.766
Convulsion21 (53.8)40 (41.2)0.228
Vomiting33 (82.5)64 (66.0)0.053
Pathologic reflexes39 (97.5)97 (100.0)
Dyspnoea36 (90.0)97 (100.0)
Circulatory disturbance40 (100.0)97 (100.0)
PCT (>0.20ng/mL)27 (67.5)49 (50.5)0.07
NLR, median (range)1.87 (0.25–14.08)3.43 (0.62–13.85)0.001
NLR, mean±SD2.77 ± 2.704.17 ± 2.81
 NLR (≤3 yr, n=117)2.54 ± 2.08 (n=30)3.91 ± 2.73 (n=87)0.014
 NLR (3–6 yr, n=20)3.48 ± 4.11 (n=10)6.46 ± 2.63 (n=10)0.07
NLR > 2.5013 (32.5)66 (68.0)<0.001
Fasting blood glucose level >8.3 mmol/L14 (35.0)86 (88.7)<0.001
EV71-positivity27 (67.5)84 (86.6)0.01

Note: Values shown are n or n (%), unless otherwise noted.

Abbreviations: HFMD, hand, foot, and mouth disease; EV71, enterovirus 71; WBC, white blood cell; NLR, neutrophil/lymphocyte ratio.

Clinicodemographic Characteristics of Patients with Critical HFMD Who Died or Survived During the Study Period Note: Values shown are n or n (%), unless otherwise noted. Abbreviations: HFMD, hand, foot, and mouth disease; EV71, enterovirus 71; WBC, white blood cell; NLR, neutrophil/lymphocyte ratio. The ROC curve and interactive dot diagram for calculating the optimal cutoff value of NLR in predicting mortality generated for 137 patients with critical HFMD is shown in Figure 2. An NLR cutoff value of 2.50 was used to classify patients into those with high NLR (NLR > 2.50) or low NLR (NLR ≤ 2.50). The high-NLR group was at significantly higher death risk than the low-NLR group (P < 0.001).
Figure 2

ROC curve and interactive dot diagram for calculating optimal cutoff value of NLR in predicting mortality generated for 137 patients with critical HFMD.

ROC curve and interactive dot diagram for calculating optimal cutoff value of NLR in predicting mortality generated for 137 patients with critical HFMD. Risk factors for critical HFMD are summarised in Table 4. Univariate analysis of 40 surviving and 97 dead patients revealed significant differences (P < 0.001) in the incidence of fasting blood glucose > 8.3 mmol/L, current EV71 infection, and NLR > 2.50. The multivariate model of 137 critical cases identified the following factors associated with death risk: EV71 infection (OR 3.441, 95% CI 1.132–10.462), fasting glucose (OR 14.173, 95% CI 4.920–40.827), and NLR > 2.50 (OR 4.166, 95% CI 1.570–11.051).
Table 4

Analysis of Risk Factors for Mortality Associated with Severe HFMD

Risk FactorsUnadjustedAdjusted#
Gender0.345 (0.131–0.909)*0.587 (0.212–1.630)
Age1.338 (0.615–2.910)0.671 (0.170–2.650)
EV71-positivity3.111 (1.287–7.520)*3.441 (1.132–10.462)*
NLR > 2.504.422 (2.012–9.717)***4.166 (1.570–11.051)*
Fasting glucose > 8.3 mmol/L14.519 (5.883–35.832)***14.173 (4.920–40.827)***

Notes: Values are OR (95% CI). #In multivariate logistic regression model (n = 137), we controlled for age, gender, EV71-seropositivity, fasting glucose and NLR > 2.50. *P < 0.05, ***P < 0.001.

Abbreviation: NLR, neutrophil/lymphocyte ratio.

Analysis of Risk Factors for Mortality Associated with Severe HFMD Notes: Values are OR (95% CI). #In multivariate logistic regression model (n = 137), we controlled for age, gender, EV71-seropositivity, fasting glucose and NLR > 2.50. *P < 0.05, ***P < 0.001. Abbreviation: NLR, neutrophil/lymphocyte ratio.

Discussion

In this retrospective study, we aimed to explore the correlation between NLR and risk of mortality in patients with severe HFMD. Multivariate analysis of data from 664 patients identified EV71 infection, WBC count, fasting glucose and NLR > 2.01 as independently associated with the risk of death from severe HFMD. Uni- and multivariate analyses identified current EV71 infection, fasting glucose and NLR > 2.50 as risk factors for mortality in patients with critical HFMD. Early detection of these risk factors and timely intervention are important to control mortality due to severe HFMD. NLR is obtained by simply dividing the number/proportion of neutrophils by that of lymphocytes, so it can be calculated from the differential white cell count test routinely performed in most clinical settings. Thus it is a convenient marker of systemic inflammatory response. Our results add to the growing list of diseases where NLR may be clinically useful as a prognostic marker. Growing evidence suggests that NLR and other haematological markers of the systemic inflammatory response can reliably predict inflammatory response and survival in patients with malignancy.9–14 Many groups have investigated the prognostic value of the NLR in a variety of inflammatory diseases at differing stages of disease.16,17 The relationship between increased NLR and poor prognosis is not fully understood in adults, and high NLR is thought to be indicative of inflammation. For example, proinflammatory cytokines in the plasma of patients with NLR >5 may establish and maintain a tumour microenvironment favouring aggressive tumour behaviour. This may explain why elevated NLR appears to be associated with recurrence of hepatocellular carcinoma.18 In fact, NLR may show greater predictive power than the classical inflammatory marker C-reactive protein or total WBC count for discriminating patients with or without Crohn’s disease.19 In children, NLR has already been associated with the activity of several infectious diseases. One study showed that the combination of NLR and C-reactive protein/mean platelet volume ratios may be useful for differential diagnosis of bacterial or viral pneumonia, as well as prediction of complications.13 NLR may be used as a diagnostic marker of febrile urinary tract infection,20 and it may be elevated in multidrug-resistant Pseudomonas aeruginosa infection in patients with hospital-acquired pneumonia.21 Our results in the present study lead us to suggest that NLR may be a useful inflammatory marker for predicting severity of HFMD and risk of associated mortality. The early hyperdynamic phase of infection is mediated by neutrophils, macrophages and monocytes, with the release of inflammatory cytokines. Overexpression of inflammatory cytokines and chemokines can induce excessive immune responses and cause cytokine cascade reaction and cytokine storm in EV71-infected tissues.22 Severe HFMD involves the release of a large number of pro-inflammatory factors including interleukin (IL)-6, IL-12, IL-18, tumour necrosis factor-α, and interferon-γ.22 This release of proinflammatory cytokines and acute-phase factors can increase WBC count. During the systemic inflammatory response, neutrophil apoptosis is suppressed and lymphocyte apoptosis is promoted.23 Thus, NLR may be a particularly useful index because it reflects inflammatory processes (neutrophils) as well as immunoregulatory processes (lymphocytes). We speculate that the increase in NLR in HFMD is caused by cytokine-mediated recruitment of neutrophils. During HFMD progression, various cytokines and chemokines likely contribute to inflammation and may be valuable for monitoring progression and predicting prognosis. This inflammation may then help explain why increased NLR is associated with mortality risk in patients with severe HFMD. In this large cohort of infants and young children not older than 6 years, we found that NLR >2.50 can predict mortality of severe HFMD. To the best of our knowledge, this is the first study to assess NLR as a diagnostic marker of severe HFMD in such a young population. NLR appears to correlate positively with age at least in healthy individuals,24 and neutrophil and lymphocyte counts change significantly from birth to young adulthood,12 and we verified that there were statistically significant differences in NLR values between different age groups (≤3 yr vs 3–6 yr, 2.67±2.36 vs 3.83±3.00, P < 0.001) in this study. Despite the effect of age on NLR, age-independent NLR was associated with the prognosis of HFMD patients (Tables 1 and 3). Thus, appropriate NLR cutoff values for classifying patients as low or high will depend on age. Previous work with healthy children younger than 20 years (mean age, 16 years) indicated a mean NLR value of 1.53 ± 0.56.24 In contrast, an NLR cutoff >5 has been suggested for detecting bacteraemia or sepsis in adults.25 Our study also found that EV71 infection and high fasting glucose were associated with increased risk of death from severe HFMD. Similar findings were reported in other studies.26,27 In recent years, EV71 has caused large-scale outbreaks of HFMD and substantial child mortality in the Asia-Pacific region.28,29 Now, vaccines against EV71 have become available in some Asian countries, such as in China.30–34 However, there are still a few challenges facing the worldwide use of EV71 vaccine.35 So, adequate prevention of severe cases of HFMD and determining factors that predict HFMD severity are very most important to make better clinical decisions. A few limitations of this study are worth considering. The study was relatively small and involved patients from only two medical centres. In addition, the study was retrospective, increasing the risk of selection and analytical bias, and NLR was not observed over time. These factors make it impossible to establish causal relationships between NLR and all-cause mortality. It will be important in future work to see whether NLR increases as patient condition progressively deteriorates; in parallel, levels of various cytokines should be assayed. Our results justify further work to clarify how high NLR may contribute to severe HFMD.

Conclusions

The NLR can be easily calculated from routine differential neutrophil and lymphocyte counts, making it more straightforward and less expensive than many other inflammatory markers. NLR may be able to predict risk of HFMD-associated mortality, providing additional stratification beyond conventional risk scores.
  34 in total

1.  An inactivated enterovirus 71 vaccine is safe and immunogenic in healthy adults: A phase I, double blind, randomized, placebo-controlled, study of two dosages.

Authors:  Paul A Tambyah; Jolene Oon; Rosmonaliza Asli; William Kristanto; Shi-Hsia Hwa; Fue Vang; Lovkesh Karwal; Jeremy Fuchs; Joseph D Santangelo; Gilad S Gordon; Cynthia Thomson; Raman Rao; Hansi Dean; Subash C Das; Dan T Stinchcomb
Journal:  Vaccine       Date:  2019-06-20       Impact factor: 3.641

2.  Neutrophil/lymphocyte ratio in the diagnosis of childhood appendicitis.

Authors:  Mesut Yazici; Sezen Ozkisacik; M Onur Oztan; Harun Gürsoy
Journal:  Turk J Pediatr       Date:  2010 Jul-Aug       Impact factor: 0.552

Review 3.  Hand, foot and mouth disease: current knowledge on clinical manifestations, epidemiology, aetiology and prevention.

Authors:  Susanna Esposito; Nicola Principi
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2018-02-06       Impact factor: 3.267

4.  Prediction of renal cortical defect and scar using neutrophil-to-lymphocyte ratio in children with febrile urinary tract infection.

Authors:  Jeong Won Lee; Joon Soo Park; Kyeong Bae Park; Gyeong Hee Yoo; Seung Soo Kim; Sang Mi Lee
Journal:  Nuklearmedizin       Date:  2017-05-10       Impact factor: 1.379

5.  Neutrophil/lymphocyte ratio is related to the severity of coronary artery disease and clinical outcome in patients undergoing angiography.

Authors:  Yaron Arbel; Ariel Finkelstein; Amir Halkin; Edo Y Birati; Miri Revivo; Meital Zuzut; Ayala Shevach; Shlomo Berliner; Itzhak Herz; Gad Keren; Shmuel Banai
Journal:  Atherosclerosis       Date:  2012-09-21       Impact factor: 5.162

6.  Neutrophil-lymphocyte ratio: a controversial marker in predicting Crohn's disease severity.

Authors:  Sheng-Qiang Gao; Li-Dong Huang; Rui-Jie Dai; Dong-Dong Chen; Wei-Jian Hu; Yun-Feng Shan
Journal:  Int J Clin Exp Pathol       Date:  2015-11-01

7.  The Clinical and Epidemiological Study of Children with Hand, Foot, and Mouth Disease in Hunan, China from 2013 to 2017.

Authors:  Jun Qiu; Haipeng Yan; Nianci Cheng; Xiulan Lu; Xia Hu; Lijuan Liang; Zhenghui Xiao; Lihong Tan
Journal:  Sci Rep       Date:  2019-08-12       Impact factor: 4.379

8.  The role of the systemic inflammatory response in predicting outcomes in patients with operable cancer: Systematic review and meta-analysis.

Authors:  Ross D Dolan; Jason Lim; Stephen T McSorley; Paul G Horgan; Donald C McMillan
Journal:  Sci Rep       Date:  2017-12-01       Impact factor: 4.379

9.  Enterovirus 71 infection: a new threat to global public health?

Authors:  Jane Qiu
Journal:  Lancet Neurol       Date:  2008-10       Impact factor: 44.182

10.  Association study of inflammatory cytokine and chemokine expression in hand foot and mouth disease.

Authors:  Wenzhong Shang; Suying Qian; Lijuan Fang; Yong Han; Cuiping Zheng
Journal:  Oncotarget       Date:  2017-06-02
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