Literature DB >> 28497918

Allergic Rhinitis in Preschool Children and the Clinical Utility of FeNO.

Jisun Yoon1, Yean Jung Choi1, Eun Lee2, Hyun Ju Cho1, Song I Yang3, Young Ho Kim4, Young Ho Jung5, Ju Hee Seo6, Ji Won Kwon7, Hyo Bin Kim8, So Yeon Lee3, Bong Seong Kim9, Jung Yeon Shim10, Eun Jin Kim11, Joo Shil Lee11, Soo Jong Hong12.   

Abstract

PURPOSE: The nature of allergic rhinitis (AR) in preschool aged children remains incompletely characterized. This study aimed to investigate the prevalence of AR and its associated risk factors in preschool-aged children and to assess the clinical utility of fractional exhaled nitric oxide (FeNO).
METHODS: This general population-based, cross-sectional survey included 933 preschool-aged (3- to 7-year-old) children from Korea. Current AR was defined as having nasal symptoms within the last 12 months and physician-diagnosed AR.
RESULTS: The prevalence of current AR in preschool children was 17.0% (156/919). Mold exposure (adjusted odds ratio [aOR], 1.67; 95% confidence interval [CI], 1.15-2.43) and the use of antibiotics (aOR, 1.97; 95% CI, 1.33-2.90) during infancy were associated with an increased risk of current AR, whereas having an older sibling (aOR, 0.52; 95% CI, 0.35-0.75) reduced the risk. Children with current atopic AR had significantly higher geometric mean levels of FeNO compared to those with non-atopic rhinitis (12.43; range of 1standard deviation [SD], 7.31-21.14 vs 8.25; range of 1SD, 5.62-12.10, P=0.001) or non-atopic healthy children (8.58; range of 1SD, 5.51-13.38, P<0.001). The FeNO levels were higher in children with current atopic AR compared with atopic healthy children (9.78; range of 1SD, 5.97-16.02, P=0.083).
CONCLUSIONS: Mold exposure and use of antibiotics during infancy increases the risk of current AR, whereas having an older sibling reduces it. Children with current atopic AR exhibit higher levels of FeNO compared with non-atopic rhinitis cases, suggesting that FeNO levels may be a useful discriminatory marker for subtypes of AR in preschool children.
Copyright © 2017 The Korean Academy of Asthma, Allergy and Clinical Immunology · The Korean Academy of Pediatric Allergy and Respiratory Disease

Entities:  

Keywords:  Rhinitis; allergic; children; nitric oxide; preschool; prevalence; risk factor

Year:  2017        PMID: 28497918      PMCID: PMC5446946          DOI: 10.4168/aair.2017.9.4.314

Source DB:  PubMed          Journal:  Allergy Asthma Immunol Res        ISSN: 2092-7355            Impact factor:   5.764


INTRODUCTION

Allergic rhinitis (AR) is a common chronic disease in childhood and adolescence.12 AR negatively impacts physical, social, and psychological well-being, and these effects can also extend to other family members.13 Children with AR complain of disruptive sneezing, itching, watery rhinorrhea, and nasal blockage; these symptoms can indirectly cause sleep disturbances and daily fatigue, thereby resulting in impaired school performance.4 The prevalence of AR is increasing worldwide.5 The International Study of Asthma and Allergies in Childhood (ISAAC) I studies revealed that the median average prevalence of rhinoconjunctivitis in the past year for 6- to 7-year-old children was 6.9% (range 0.8%-14.9%) in 1997.6 ISSAC III studies (1999-2004) reported an average prevalence of current rhinoconjunctivitis symptoms of 8.5% (range 2.8%-21.8%) in 6- to 7-year-old children and 14.6% (1.0%-45.0%) in 13- to 14-year-old children.7 The prevalence of AR in early childhood has continually increased from 1995 to 2008 in Seoul, Korea. Indeed, the prevalence of current AR was 11.9% in 1995, 14.2% in 2000, 19.4% in 2005, and 22.2% in 2008.8 By contrast, limited data on the prevalence of AR are available because of difficulties in the diagnosis or definition of AR, especially in preschool-aged children. In a study from central China, the prevalence of AR in 3- to 6-year-old children was reported to be 10.8% based on the diagnostic criteria of nasal symptoms and positive skin prick test (SPT) results.9 The prevalence of rhinitis symptoms ever in life time was reported in another study to be 43.4%, whereas the prevalence of physician-diagnosed AR was 26.4% and 26.1% of 3- to 5-year old children were treated because of AR.5 Most studies of the prevalence of AR in preschool children have been performed using a questionnaire; therefore, the wide range of reports of the prevalence of AR may be partially attributed to an overestimation of AR. Furthermore, the prevalence of AR can be varied and depend upon the definition of AR. Rhinitis is defined as inflammation of the nasal epithelium and characterized by at least 2 of the following nasal symptoms: rhinorrhea, blockage, sneezing, or itching. AR is caused by exposure to an allergen to which an individual is sensitized.10 In preschool-aged children, it is challenging to distinguish AR from infectious rhinitis and to define AR because of low rates of allergen sensitization.311 The fractional concentration of exhaled nitric oxide (FeNO) is a noninvasive parameter used to measure airway inflammation by analyzing gas collected from a single breath.12 Up-regulation of inducible nitric oxide synthase during intranasal and airway inflammation can increase FeNO levels.13 FeNO is correlated with other markers of inflammation, such as total serum immunoglobulin E (IgE) and eosinophil counts in the airway mucosa, and its levels are elevated in asthmatic patients.12 Because allergic diseases, such as AR and atopic dermatitis (AD), can confound the relationship between FeNO and asthma, AR should be considered in the assessments of FeNO levels in patients with asthma.14 Additionally, subjects with AR who do not exhibit asthmatic symptoms can have significantly higher levels of FeNO than those in healthy school-aged children (15.3 vs 5.9 ppb).15 However, the levels of FeNO in preschool children with AR have not yet been reported and little is known about the epidemiology of AR in preschool-aged children. This study aimed to investigate the prevalence and associated risk factors of AR in preschool-aged children (3- to 7-years-old). Additionally, we compared FeNO levels in children with AR according to the presence or absence of potential confounding factors, such as comorbidities related to asthma.

MATERIALS AND METHODS

Study participants

The present study was designed as a cross-sectional and community-based study as a part of a standardization study for the diagnosis and treatment of pediatric allergic diseases. It included 16 randomly selected childcare centers from Seoul and Gyeonggi province in Korea, between July and August of 2010. A modified ISAAC questionnaire2 was used to evaluate the prevalence of allergic diseases. The study population included 480 boys and 453 girls (mean age, 4.87±1.05 years). Patient demographic profiles and general information are presented in Table 1. A parental history of any allergic disease, including asthma, AR, or AD, was reported for 49.0% of individuals, while a parental history of AR was noted for 44.0%. Exposure to environmental tobacco smoke was reported in 45.2% of the study population.
Table 1

Subject characteristics

CharacteristicsNo./total No. (%)*
No. of subject933
Responded to questionnaire919/933 (98.5)
Age, mean±SD (year)4.87±1.05
Sex (M/F)480/453
BMI, mean±SD (kg/m2)15.9±1.65
Parental history of allergic disease449/916 (49.0)
Parental history of asthma46/914 (5.0)
Parental history of AR403/915 (44.0)
Parental history of AD105/915 (11.5)
Environmental tobacco smoking412/911 (45.2)
Maternal education level
 < College degree240/905 (26.5)
 ≥ College degree665/905 (73.5)
Economic status (monthly income, USD)
 Low (< 3,000)328/890 (36.9)
 Middle (3,000–5,000)341/890 (38.3)
 High (≥5,000)221/890 (24.8)
Biomarker
 Eosinophil, mean±SD (%)4.17±3.20
 Total IgE, mean±SD (IU/mL)194.35±376.47
Atopy147/659 (22.3)
FeNO, mean±SD (ppb)10.31±6.51

SD, standard deviation; M, male; F, female; BMI, body mass index; AR, allergic rhinitis; AD, atopic dermatitis; USD, US dollar; IgE, immunoglobulin E; FeNO, fractional exhaled nitric oxide; SPT, skin prick test.

*Data are presented as number/total number (percentage) of patients, unless otherwise indicated; †Defined as at least 1 positive SPT result (an allergen wheal diameter greater than a histamine wheal diameter and a histamine wheal diameter ≥3 mm).

The Institutional Review Board (2010-02 CON-14-P) of Asan Medical Center approved the study protocol. Written consent was obtained from all parents and guardians following a detailed explanation of the study.

ISAAC questionnaire

A modified Korean version of the ISAAC was previously validated as a tool for the assessment and diagnosis of allergic symptoms in Korean children.16 The questionnaire includes 3 main sections: (1) general patient characteristics, including name, sex, date of birth, height, and weight; (2) a history of symptoms related to asthma, AR, AD, allergic conjunctivitis, and food allergy; and (3) exposure to environmental factors associated with allergic disease. The Korean version of the ISAAC questionnaire was completed by the parents or guardians of the preschool-aged children.

Prevalence of AR

We determined the prevalence of the following factors: (1) sneezing or a runny/blocked nose at any point in life (i.e., AR symptoms ever); (2) sneezing or runny/blocked nose and AR symptoms within the 12 months prior to survey completion (i.e., AR symptoms in the last 12 months; (3) a diagnosis of AR at any point in a lifetime (i.e., AR diagnosis ever); (4) treatment for AR within 12 months prior to survey completion (i.e., AR treatment in the last 12 months); (5) exhibiting AR symptoms within the last 12 months and a diagnosis of AR by clinicians at any point in life (i.e., current AR); (6) exhibiting AR symptoms within the last 12 months and a diagnosis of AR by clinicians at any point in life along with atopy (i.e., current atopic AR); and (7) AR symptoms in the last 12 months who had 1 or more positive reactions on SPTs (i.e., atopic AR).

White blood cells (WBCs), eosinophils, total IgE, and specific IgE

WBCs and the percentage of blood eosinophils were measured. The levels of total serum IgE and specific IgE were measured by fluorescent enzyme immunoassay using the ImmunoCAP system (Phadia AB, Uppsala, Sweden). Titers of specific IgE were measured for 7 major inhaled allergens: Dermatophagoides farina (Der f), cat, dog, cockroach, Alternaria alternate, mugwort, and alder. The titers of specific IgE were considered to be positive if they were greater than 0.35 kUA/L.

SPTs

SPTs were performed against the following 18 common aeroallergens and food allergens (Allergopharma, Reinbek, Germany): Dermatophagoides pteronyssinus (Der p), Der f, cat, dog, mugwort, grass, birch, ragweed, alder, oak, Japanese hop, Aspergillus fumigatus, Alternaria alternate, cockroach, milk, soybean, egg white, and peanut. As positive and negative controls, histamine, and isotonic saline, respectively, were used. Maximum wheal diameters that were greater than both of those caused by histamine and 3 mm in the absence of any reaction to saline were considered positive responses on SPTs after 15 minutes. Atopy was defined as exhibiting a positive response against at least 1 allergen on SPTs.

FeNO

The Levels of FeNO were measured using a Niox Mino analyzer (Aerocrine, Solna, Sweden) according to American Thoracic Society/European Respiratory Society (ATS/ERS) recommendations by a single experienced operator.17 Measurements were made at an expiratory flow rate of 50 mL/sec and the duration of exhalation was at least 6 seconds to ensure that NO levels were stable. A total of 3 recorded FeNO measurements with repeated measurements within 10% of the mean were obtained for each subject. The mean value of the 3 measurements was recorded as the final FeNO.17

Statistical analysis

Statistical analyses were performed using SAS version 9.0 (SAS Institute, Cary, NC, USA). The prevalence of allergic diseases is presented as mean values with the 95% confidence interval (CI). To identify potential risk factors for current AR, χ2 tests and logistic regression analyses were conducted. For multivariate analysis, age, sex, and body mass index (BMI) were adjusted as personal factors, a parental history of AD was adjusted as a genetic factor, and the level of maternal education was considered as a socioeconomic factor. Sensitization to Der p or Der f indicated a positive response on SPTs or ImmunoCAP for house dust mite antigen. A P value of <0.05 was used to define statistically significant differences.

RESULTS

The prevalence of allergic diseases, including current AR, is shown in Fig. 1. Generally, an increasing trend was observed for the prevalence of AR with age in preschool-aged children. The rates of prevalence of AR symptoms ever in life, AR symptoms in the last 12 months, AR diagnosis in the life time, and AR treatment in the life time in 3- to 7-year-old children were 43.8%, 38.5%, 23.8%, and 18.6%, respectively. The prevalence of current AR, current atopic AR, and atopic AR symptoms within 12 months in 3- to 7-year-old children was 17.0%, 4.7%, and 7.5%, respectively (Fig. 1).
Fig. 1

The prevalence of all related AR questionnaires in 3- to 7-year-old children. AR, allergic rhinitis; sx., symptom; 12 mo., within 12 months; Dx., diagnosis; Tx., treatment.

Risk factors for current AR

The independent risk factors for current AR included a history of asthma diagnosis (adjusted odds ratio [aOR], 2.96; 95% CI, 1.73-5.08), a history of wheezing in the last 12 months (aOR, 2.09; 95% CI, 1.21-3.59), a history of AD diagnosis (aOR, 1.61; 95% CI, 1.11-2.34), and a parental history of asthma (aOR, 2.10; 95% CI, 1.08-4.08). We also identified independent environmental risk factors for AR, which included the use of antibiotics in infancy for more than 3 days (aOR, 1.97; 95% CI, 1.33-2.90) and exposure to indoor mold during infancy (aOR, 1.67; 95% CI, 1.15-2.43). Additionally, having an older sibling reduced the risk of current AR (aOR, 0.52; 95% CI, 0.35-0.75) (Table 2).
Table 2

Risk factors for current AR in preschool children

Risk factorsOR (95% CI)P valueaOR* (95% CI)P value
Genetic factors
 Parental asthma3.22 (1.71–6.07)<0.0012.10 (1.08–4.08)0.028
 Parental AR2.88 (2.01–4.14)<0.0012.25 (0.92–5.52)0.077
 Parental AD1.49 (0.91–2.43)0.1150.93 (0.54–1.61)0.800
Past history
 Past history of asthma diagnosis3.44 (2.10–5.63)<0.0012.96 (1.73–5.08)<0.001
 Wheezing, last 12 months1.89 (1.13–3.16)0.0152.09 (1.21–3.59)0.008
 Past history of AD diagnosis1.74 (1.23–2.47)0.0021.61 (1.11–2.34)0.012
 History of bronchiolitis before 2 years of age1.39 (0.91–2.12)0.1321.18 (0.74–1.89)0.479
 Breast milk feeding >6 months1.27 (0.84–1.95)0.2621.24 (0.80–1.94)0.338
 Use of antibiotics in infancy (>3 days)1.95 (1.36–2.80)<0.0011.97 (1.33–2.90)<0.001
 Cesarean-section delivery1.35 (0.95–1.92)0.1001.37 (0.94–2.00)0.099
Environmental tobacco smoking1.09 (0.77–1.53)0.1271.15 (0.79–1.67)0.460
 Current pet ownership0.63 (0.19–2.12)0.4510.66 (0.19–2.29)0.508
 Pet ownership in infancy0.85 (0.37–1.94)0.3230.80 (0.34–1.86)0.600
 Dog ownership in infancy0.96 (0.42–2.21)0.9280.90 (0.38–2.12)0.810
 Cat ownership in infancy1.17 (0.13–10.51)0.8911.00 (0.11–9.30)0.996
 Day care attendance before 1-year-old0.84 (0.48–1.48)0.5510.97 (0.53–1.76)0.908
 Having an older sibling0.56 (0.39–0.79)<0.0010.52 (0.35–0.75)0.001
 Having a younger sibling1.09 (0.76–1.57)0.6331.11 (0.77–1.64)0.561
 History of remodeling, currently0.92 (0.57–1.48)0.7360.82 (0.48–1.39)0.452
 Indoor mold exposure during infancy1.69 (1.18–2.40)0.0041.67 (1.15–2.43)0.007
 Indoor mold exposure during previous last 12 months1.18 (0.84–1.67)0.3471.09 (0.75–1.58)0.646

AR, allergic rhinitis; OR, odds ratio; aOR, adjusted odds ratio; CI, confidence interval; AD, atopic dermatitis; BMI, body mass index.

*Adjusted by age, sex, BMI, parental history of allergic diseases, and maternal education levels.

Sensitization for current AR

Table 3 shows analyses of associations between positive sensitization on SPTs and current AR. The independent risk factors for current AR included any any sensitization on SPTs (aOR, 1.99; 95% CI, 1.26-3.14), Der p (aOR, 2.23; 95% CI, 1.37-3.54), Der f (aOR, 2.23; 95% CI, 1.27-3.91), and Japanese Hop (aOR, 6.59; 95% CI, 1.09-39.85). The independent risk factors for current AR on immunoCAP included more than 1 sensitization (aOR, 1.84; 95% CI, 1.20-2.82) and sensitization to Der f (aOR, 1.96; 95% CI, 1.27-3.03) or mugwort (aOR, 4.63; 95% CI, 1.51-14.23) (Table 4).
Table 3

Associated positive sensitization on SPTs for the development of current AR

Risk factorsOR (95% CI)P valueaOR* (95% CI)P value
SPT any positive2.34 (1.52–3.61)<0.0011.99 (1.26–3.14)0.003
Der p2.56 (1.63–4.02)<0.0012.23 (1.37–3.54)0.001
Der f2.62 (1.54–4.46)<0.0012.23 (1.27–3.91)0.005
Alder0.86 (0.10–7.42)0.8900.77 (0.09–6.84)0.815
Birch1.44 (0.15–13.93)0.7551.14 (0.11–11.4)0.913
Mugwort2.90 (0.48–17.53)0.2470.81 (0.08–7.97)0.856
Japanese Hop6.59 (1.09–39.85)0.0403.57 (0.47–27.37)0.221
Dog2.19 (0.65–7.39)0.2072.14 (0.53–8.60)0.285
Cat4.35 (0.61–31.22)0.1434.56 (0.61–34.30)0.140
Egg white8.72 (0.78–96.99)0.07810.31 (0.86–123.00)0.065
Alternaria4.35 (0.61–31.22)0.1434.49 (0.58–34.77)0.151
Aspergillus4.32 (0.27–69.64)0.3022.73 (0.16–45.29)0.485
Ragweed4.33 (0.27–69.64)0.3025.83 (0.35–96.80)0.219
Oak1.08 (0.12–9.71)0.8650.81 (0.09–7.58)0.852

SPT, skin prick test; AR, allergic rhinitis; OR, odds ratio; aOR, adjusted odds ratio; CI, confidence interval; Der p, Dermatophagoides pteronyssinus; Der f, Dermatophagoides farina; BMI, body mass index.

*Adjusted by age, sex, BMI, parental history of allergic diseases, and maternal education levels.

Table 4

Associated positive serum-specific IgE test results for the development of current AR

Risk factorsOR (95% CI)P valueaOR* (95% CI)P value
Sensitization ≥1 allergens2.01 (1.39–3.13)<0.0011.84 (1.20–2.82)0.006
Der f2.25 (1.49–3.38)<0.0011.96 (1.27–3.03)0.002
Cat3.15 (0.83–11.92)0.0913.47 (0.89–13.50)0.073
Dog2.36 (0.78–7.19)0.1302.97 (0.90–9.80)0.074
Cockroach1.03 (0.29–3.72)0.9611.03 (0.28–3.82)0.965
Alternaria2.56 (0.91–7.18)0.0752.72 (0.92–8.06)0.071
Mugwort5.47 (1.86–16.10)0.0024.63 (1.51–14.23)0.007
Alder2.33 (0.84–6.43)0.1031.97 (0.69–5.64)0.206

Positive specific IgE levels are defined as ≥ 0.35 kU/L for each allergen.

IgE, immunoglobulin E; AR, allergic rhinitis; OR, odds ratio; aOR, adjusted odds ratio; CI, confidence interval; Der f, Dermatophagoides farinae; BMI, body mass index.

*Adjusted by age, sex, BMI, parental history of allergic diseases, and maternal education levels.

Levels of FeNO and total serum IgE, and blood eosinophil counts in current atopic AR patients without asthma or atopy

The geometric mean levels of FeNO were significantly higher in children with current atopic AR without asthma than in either control individuals or those with non-atopic rhinitis without asthma groups (12.43; 95% CI, 10.07-15.49 vs 8.25; 95% CI, 7.39-9.39, P=0.001). Furthermore, children with current atopic AR without asthma had significantly higher geometric mean levels of FeNO compared with non-atopic healthy children (8.58; 95% CI, 8.00-9.21, P<0.001). The levels of FeNO were higher in children with current atopic AR without asthma compared with those in atopic healthy children (12.43; 95% CI, 10.07-15.49 vs 9.78; 95% CI, 8.41-11.59, P=0.083) (Fig. 2).
Fig. 2

FeNO levels among children having current atopic AR without asthma along with those in atopic and non-atopic healthy children. FeNO, fractional exhaled nitric oxide; AR, allergic rhinitis; CI, confidence interval. *P<0.01.

Levels of total serum IgE (210.61; 95% CI, 134.29-333.62 vs 55.70; 95% CI, 44.70-70.10, P<0.001) and the percentages of blood eosinophils (5.58; 95% CI, 4.39-6.82 vs 3.16; 95% CI, 2.72-3.63, P<0.001) from children having current atopic AR without asthma were higher than those with non-atopic rhiinitis without asthma (Supplementary Figs. 1 and 2). The total serum IgE levels tended to be higher in children with current atopic AR without asthma compared with those in the atopic healthy children (210.61; 95% CI, 134.29-333.62 vs 149.90; 95% CI, 114.43-200.34, P=0.193). Children with current atopic AR without asthma had a significantly higher geometric mean blood eosinophil percentage compared with those from the atopic healthy children (3.93; 95% CI, 3.35-4.62, P=0.015).

Cutoff values for FeNO, total serum IgE, and blood eosinophil percentages to define atopic current AR

To define cutoff values for FeNO to differentiate children atopic current AR from atopic healthy children, we constructed a receiver operation characteristic (ROC) curve for the diagnosis of current atopic AR. A FeNO >7.5 ppb yielded a sensitivity of 86.4%, a specificity of 47.7%, and the area under the ROC curve (AUC) of 0.714 (95% CI, 0.600-0.829). Additionally, we calculated optimal cutoff values for serum IgE of >86.1 kU/L, with a sensitivity of 83.2%, a specificity of 71.5%, and an AUC of 0.835 (95% CI, 0.811-0.858), as well as a blood eosinophil frequency of >2.5%, sensitivity of 66.1%, specificity of 68.1%, and an AUC of 0.706 (95% CI, 0.674-0.738; Table 5). A significant linear correlation between FeNO, total serum IgE levels, and blood eosinophil percentage was observed (r=0.244, P<0.001 for serum IgE and r=0.296, P<0.001 for blood eosinophilia; Supplementary Figs. 3A and B).
Table 5

Cutoff values for FeNO, serum IgE, and blood eosinophil levels in children with current atopic AR without asthma

Cut-off valueSensitivity (%)Specificity (%)
FeNO (ppb)>7.586.447.7
Serum IgE (kU/L)>86.183.271.5
Blood eosinophil (%)>2.566.168.1

FeNO, fractional exhaled nitric oxide; IgE, immunoglobulin E; AR, allergic rhinitis.

DISCUSSION

Our current general population-based study demonstrated the prevalence of AR and the discriminative value of FeNO for the diagnosis of AR in preschool-aged children in Seoul, Korea. In the present study, the prevalence of current AR, atopic current AR, AR symptoms ever in lifetime, and atopic AR symptoms ever in lifetime in preschool-aged children were 17.0%, 4.7%, 43.8%, and 8.4%, respectively, which indicates that AR is not uncommon in preschool-aged children. A parental history of asthma, a past history of asthma, AD, indoor mold exposure, antibiotic use during infancy, and atopy increased the risk of current AR, whereas the presence of an older sibling reduced the risk of current AR. Sensitization to Der p, Der f, and Japanese hop was associated with an increased risk of current AR in preschool-aged children. In this study, we excluded children with asthma and divided the current AR group into 2 subgroups based on the presence of atopy. The levels of FeNO were significantly higher in children with current atopic AR without asthma (12.43 ppb; 95% CI, 10.07-15.49) compared those with non-atopic rhinitis without asthma (8.25 ppb; 95% CI, 7.39-9.39; P=0.001) or atopic healthy children (9.78 ppb; 95% CI, 8.41-11.59), although the latter difference was not statistically significant (P=0.083). Therefore, we should suspect AR when atopic preschool children complain of AR symptoms and present with high levels of FeNO. Some children may only exhibit significant symptoms with a combination of both allergic inflammation and coexisting viral infection. Additionally, it can be difficult to differentiate AR from other common diseases, such as non-allergic rhinitis (NAR) and chronic rhinosinusitis, as these diseases share similar symptoms with AR in young children. These similarities are particularly common in preschool-aged children.18 We diagnosed current AR as nasal symptoms and also used physician diagnoses to reduce potential errors in the misdiagnosis of AR. Furthermore, the findings of our study are important, as they combine a questionnaire survey and clinical diagnoses with the results of SPT in a large randomly selected preschool children with AR. The reported prevalence of AR in preschool-aged children is diverse and varies by region.19 This finding might be partially attributed to misdiagnoses and be related to the physician's experience in the diagnosis of AR. However, the prevalence of AR has been progressively increasing worldwide, while the age of onset is decreasing.19 In a birth cohort study carried out in Sweden in 2003, the frequency of 4.5-year-old children who reported symptoms that were compatible with AR during the previous year was 5.5% (246/4,465), and the frequency of doctor-diagnosed AR based on symptoms during the last year was 1.7% (75/4,465).20 In a study conducted in China using an ISAAC questionnaire, the prevalence of AR, which was defined as nasal symptoms and atopy on SPTs, was 10.8% in 3- to 6-year-old children,9 a rate that was similar to the prevalence of atopic AR symptoms in an individual's lifetime (8.4%) observed in our study. In a study carried out in Seoul, Korea using an ISAAC questionnaire, the prevalences of AR ever, AR in the last 12 months, AR diagnosis ever, and treatment in the last 12 months were 31.8%, 26.2%, 16.2%, and 12.9%, respectively, in children who were 2-7 years old in 2009.21 Furthermore, in a study of 3- to 6-year-old preschool children in the Gyeonggi Province of Korea in 2009, the prevalence of AR ever was 44.2%, while that of AR symptoms in the last 12 months was 40.7%, that of AR diagnosis ever was 34.5%, and that of treatment in the last 12 months was 28.0%.22 The findings of the aforementioned studies were similar to those of our study, which used the ISAAC questionnaire, as the prevalences of AR symptoms ever in life, AR symptoms in the 12 months, AR diagnosis in the life time and AR treatment in the life time were 43.8%, 38.5%, 23.8%, and 18.6% respectively. Differences in the prevalence of AR between our report and earlier studies from China might be in part attributed to differences in the definition of AR combined with atopy in SPTs. Additionally, differences in environmental factors according to regions may affect the prevalence of AR. However, the use of a questionnaire method may result in a the high probability of overestimation. The prevalence of atopy for SPTs is low, especially in preschool children; therefore, application results based on SPTs could result in an underestimated diagnosis of AR. Thus, further studies will be required to accurately determine the prevalence of AR in a large study using a unified definition of AR. Moreover, considering that conducting SPTs on preschool children was particularly difficult in this study, a non-invasive FeNO test may aid in diagnoses of AR in preschool children. However, the prevalence of AR is not uncommon in preschool children. Hence, we must further characterize when AR develops, determine how to diagnose AR, and assess whether cases of AR in preschool children are increasing, so that follow-up studies about the pathogenesis of AR are needed. In our study, environmental factors that we identified as independent risk factors for AR included the use of antibiotics in infancy and exposure to household mold during infancy. A protective effect of having an older sibling on AR in preschool-aged children was observed, which was consistent with an inverse association between the number of siblings and hay fever.2324 The use of antibiotics in early life is known to lead to alterations in the intestinal flora and increase the risk of childhood atopy and asthma.232425 Therefore, our data support the hygiene hypothesis that microbiome naturally colonizing in our body may affect the development of human immune system and the development of allergic disease. Especially during pregnancy and within 3 years after birth, the composition of the microorganisms in the intestinal microbiome is affected by the delivery method of the infant as well as differences in diet composition.26 Antibiotic use during infancy induces changes in the composition of the intestinal microbial strain, and this is associated with suppressed T helper 1 (Th1)-type immunity after normal birth as well as progressively increased serum IgE levels and regulatory T cells, which are known to suppress T helper 2 (Th2)-type immune responses.2728 In our study, Der f and Der p were found to be independent risk factors for allergic sensitization on SPT and CAP in preschool-aged children with current AR. Exposure to indoor allergens at home is a common cause of perennial AR, especially in young children who spend most of their time indoors. Therefore, in children with allergic sensitization to house dust mite allergens, avoidance of house dust mites is always a critical component of a management strategy for AR in preschool-aged children.10 Additionally, mugwort was identified as a major independent risk factor for AR in preschool-aged children. A key issue is the relationship between AR and FeNO levels. FeNO analysis is often used to assess eosinophilic airway inflammation in bronchial asthmatic patients. Many studies have shown increased levels of FeNO in adults with AR.19 Although the literature on FeNO measurements in children with AR is less extensive, FeNO has been reported to be increased in children with AR.29 In China, in a case-control study with age- and gender-matched children based on a lager cross-sectional general population survey on asthma, AR and AD among 9- to 11-year-old school-aged children with physician-diagnosed AR without asthma had significantly elevated levels of FeNO (25.8±2.1 ppb) compared with the control group (13.3±1.6 ppb), which included children without physician-diagnosed asthma, AR, or AD (P=0.008). Although they did not control whether the patients had atopy or not, they showed that AR could independently cause an increase in FeNO levels in Chinese school-aged children.30 Although several studies have assessed FeNO levels in school-children with asthma or AR,3031 limited data are available about FeNO levels in preschool-aged children. The FeNO level is low at younger age32 and a study that suggested FeNO level of recurrent wheezers in preschool children was approximately 10-15 ppb, which is lower than school-aged children's levels.33 Our study focused on the presentation of FeNO levels in preschool children with AR who were 3-7 years old and controlled for the confounding factor of asthma, which is one of the most powerful determinants of increased FeNO levels. We believe that further studies on FeNO with preschool children will be required to compare the results with our study, rather than using the FeNO level of the older children's reference values. Most previous reports of the prevalence of AR have been based on a questionnaire survey alone, which may have resulted in an overestimation of the prevalence (up to 50%) of AR.34 Similar to other studies, our findings were based on a questionnaire survey. Therefore, as we diagnosed current AR based on a questionnaire, both recall and selection bias may exist. Additionally, reporting bias might have exist because clinicians did not directly examine and follow up the current AR patients. To evaluate the actual prevalence of AR, we classified current atopic AR and non-atopic rhinitis to differentiate between rhinitis with and without sensitization to allergens. Another limitation of our study was its cross-sectional design, which limited our ability to determine causation. However, our study was population-based, which is a major strength that allows for an estimation of the population attributable risk of multiple factors. Furthermore, it is difficult to compare the prevalence of current AR calculated herein with previous studies because of differences between the study population groups, which were from different areas. Despite these limitations, our current findings merit attention because limited data are available on the prevalence of AR in preschool-aged children. An additional strength of our study was that we performed the FeNO test among preschool children who were suspected AR cases using a non-invasive biomarker. In conclusion, the prevalence of current AR in preschool-aged children was 17.0%, indicating that the onset of AR can be significant at younger age. Furthermore, levels of FeNO were higher in children who had current atopic AR, which suggests that FeNO levels can be a useful diagnostic marker of current AR in preschool-aged children. Future surveillance efforts that follow a well-designed large patient cohort will be required to quantitatively assess the prevalence of AR and its associated risk factors in preschool-aged children. Furthermore, prospective, large-scale, randomized control trials will be needed to better characterize and understand the role of FeNO in the clinical care of young children with AR.
  30 in total

Review 1.  Asthma: defining of the persistent adult phenotypes.

Authors:  Sally E Wenzel
Journal:  Lancet       Date:  2006-08-26       Impact factor: 79.321

2.  In interaction with gender a common CYP3A4 polymorphism may influence the survival rate of chemotherapy for childhood acute lymphoblastic leukemia.

Authors:  A Gézsi; O Lautner-Csorba; D J Erdélyi; G Hullám; P Antal; Á F Semsei; N Kutszegi; M Hegyi; K Csordás; G Kovács; C Szalai
Journal:  Pharmacogenomics J       Date:  2014-09-30       Impact factor: 3.550

3.  Enhancing the understanding of asthma.

Authors:  Golnaz Vahedi; Arianne C Richard; John J O'Shea
Journal:  Nat Immunol       Date:  2014-08       Impact factor: 25.606

4.  Implication of BIRC5 in asthma pathogenesis.

Authors:  Ildikó Ungvári; Eva Hadadi; Viktor Virág; András Bikov; Adrienne Nagy; Agnes F Semsei; Gabriella Gálffy; Lilla Tamási; Ildikó Horváth; Csaba Szalai
Journal:  Int Immunol       Date:  2012-02-15       Impact factor: 4.823

5.  Damage of the airway epithelium and bronchial reactivity in patients with asthma.

Authors:  L A Laitinen; M Heino; A Laitinen; T Kava; T Haahtela
Journal:  Am Rev Respir Dis       Date:  1985-04

6.  Physical interaction with Yes-associated protein enhances p73 transcriptional activity.

Authors:  S Strano; E Munarriz; M Rossi; L Castagnoli; Y Shaul; A Sacchi; M Oren; M Sudol; G Cesareni; G Blandino
Journal:  J Biol Chem       Date:  2001-01-24       Impact factor: 5.157

Review 7.  Asthma genetics and personalised medicine.

Authors:  Deborah A Meyers; Eugene R Bleecker; John W Holloway; Stephen T Holgate
Journal:  Lancet Respir Med       Date:  2014-05-02       Impact factor: 30.700

8.  Candidate gene association study in pediatric acute lymphoblastic leukemia evaluated by Bayesian network based Bayesian multilevel analysis of relevance.

Authors:  Orsolya Lautner-Csorba; András Gézsi; Agnes F Semsei; Péter Antal; Dániel J Erdélyi; Géza Schermann; Nóra Kutszegi; Katalin Csordás; Márta Hegyi; Gábor Kovács; András Falus; Csaba Szalai
Journal:  BMC Med Genomics       Date:  2012-09-28       Impact factor: 3.063

9.  The Association of GSDMB and ORMDL3 Gene Polymorphisms With Asthma: A Meta-Analysis.

Authors:  Chun-Ni Zhao; Ye Fan; Jian-Jun Huang; Hai-Xia Zhang; Tao Gao; Cong Wang; Tong Wang; Li-Fang Hou
Journal:  Allergy Asthma Immunol Res       Date:  2014-12-18       Impact factor: 5.764

10.  Association of Single Nucleotide Polymorphisms in Toll-like Receptor Genes With Asthma Risk: A Systematic Review and Meta-analysis.

Authors:  Kalthoum Tizaoui; Wajih Kaabachi; Kamel Hamzaoui; Agnès Hamzaoui
Journal:  Allergy Asthma Immunol Res       Date:  2014-11-05       Impact factor: 5.764

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  8 in total

Review 1.  An Evidence-Based Review of Application Devices for Nitric Oxide Concentration Determination from Exhaled Air in the Diagnosis of Inflammation and Treatment Monitoring.

Authors:  Magdalena Wyszyńska; Monika Nitsze-Wierzba; Aleksandra Czelakowska; Jacek Kasperski; Joanna Żywiec; Małgorzata Skucha-Nowak
Journal:  Molecules       Date:  2022-07-03       Impact factor: 4.927

2.  Clinical application of fractional exhaled nitric oxide and nasal nitric oxide levels for the assess eosinophilic inflammation of allergic rhinitis among children.

Authors:  Jia-Ying Luo; Hui-An Chen; Jing Ma; Yong-Xin Xiao; Jing-Jiong Yao; Jia-Min Liang; Ying-Si Du; Feng Wang; Bao-Qing Sun
Journal:  Transl Pediatr       Date:  2021-04

3.  Chinese Herbal Medicine to Treat Allergic Rhinitis: Evidence From a Meta-Analysis.

Authors:  Yuan Zhang; Luo Zhang; Xu Zhang; Feng Lan
Journal:  Allergy Asthma Immunol Res       Date:  2018-01       Impact factor: 5.764

4.  Suppressive Effect of Quercetin on Nitric Oxide Production from Nasal Epithelial Cells In Vitro.

Authors:  Nachi Ebihara; Kana Takahashi; Haruka Takemura; Yuko Akanuma; Kazuhito Asano; Masataka Sunagawa
Journal:  Evid Based Complement Alternat Med       Date:  2018-07-05       Impact factor: 2.629

5.  Antibiotic overuse and allergy-related diseases: an epidemiological cross-sectional study in the grasslands of Northern China.

Authors:  Yan Lei Chen; Weirong Joshua Sng; De Yun Wang; Xue Yan Wang
Journal:  Ther Clin Risk Manag       Date:  2019-06-21       Impact factor: 2.423

6.  Nasal nitric oxide is a useful biomarker for acute unilateral maxillary sinusitis in pediatric allergic rhinitis: A prospective observational cohort study.

Authors:  Yung-Sung Wen; Ching-Yuang Lin; Kuender D Yang; Chih-Hsing Hung; Yu-Jun Chang; Yi-Giien Tsai
Journal:  World Allergy Organ J       Date:  2019-05-17       Impact factor: 4.084

7.  Measurement of Exhaled Nitric Oxide in Children: A Comparison Between NObreath® and NIOX VERO® Analyzers.

Authors:  Yoko Inoue; Sakura Sato; Tetsuharu Manabe; Eishi Makita; Masako Chiyotanda; Kyohei Takahashi; Hitoshi Yamamoto; Noriyuki Yanagida; Motohiro Ebisawa
Journal:  Allergy Asthma Immunol Res       Date:  2018-09       Impact factor: 5.764

8.  Effects of Antibiotics on the Development of Asthma and Other Allergic Diseases in Children and Adolescents.

Authors:  Do Hyun Kim; Kyungdo Han; Soo Whan Kim
Journal:  Allergy Asthma Immunol Res       Date:  2018-09       Impact factor: 5.764

  8 in total

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