Parental smoking, nasal resistance and rhinitis in children

Exposure to tobacco smoke and childhood rhinitis: a population-based study

Exposure to tobacco smoke has been associated with harmful effects on child health. The association between tobacco smoke exposure and childhood rhinitis has not been established in developed or developing countries. We investigated the association between serum cotinine levels and rhinitis in a population sample of 1,315 Asian children. Serum cotinine levels were positively associated with rhinitis ever (adjusted odds ratio [AOR] = 2.95; 95% confidence interval [CI]: 1.15–7.60) and current rhinitis (AOR = 2.71; 95% CI: 1.07–6.89), while the association for physician-diagnosed rhinitis approaching borderline significance (AOR = 2.26; 95% CI: 0.88–5.83). Stratified analyses demonstrated significant association of serum cotinine levels with current rhinitis among children without allergic sensitization (AOR = 6.76; 95% CI: 1.21–37.74), but not among those with allergic sensitization. Serum cotinine levels were positively associated with rhinitis ever (AOR = 3.34; 95% CI: 1.05–10.61) and current rhinitis (AOR = 4.23; 95% CI: 1.28–13.97) among adolescents but not in children aged less than 10 years. This population-based study demonstrates supportive evidence for positive association of tobacco smoke exposure with rhinitis, while the effect is mainly confined to non-allergic rhinitis and more pronounced in adolescents than in young children, highlighting the need for raising public health awareness about the detrimental effects of tobacco smoke exposure on children’s respiratory health.

Characteristics of children under 2 years of age undergoing tonsillectomy for upper airway obstruction

INTRODUCTION

To study characteristics of children less than 2 years who underwent a tonsillectomy for sleep disordered breathing (SDB) or obstructive sleep apnea (OSA) to assess for factors associated with requesting a preoperative polysomnogram (PSG) and to identify predictors of upper airway obstruction in this group.

MATERIALS AND METHODS

A retrospective chart review of children under 2 years who underwent a tonsillectomy over a 7-year period at a tertiary care pediatric hospital was undertaken. Patient demographics, characteristics and polysomnography results, when applicable, were collected. In order to determine if the gathered demographics of our cohort differed from the non-surgical population, we compared our data with available Colorado data for each variable. Children were stratified by OSA severity using their obstructive apnea-hypopnea index (OAHI).

RESULTS

197 (2.2%) of 9038 patients who underwent tonsillectomy for SDB or OSA were ≤ 24 months. The proportions of male, African-American, Hispanic, obese, underweight, premature, syndromic and daycare patients in our cohort were significantly different than in the general population. In a multivariate model, the odds of African-Americans having severe OSA were 12.5 times greater than the odds of Caucasians. The odds of patients with syndromes or craniofacial anomalies were 11 times greater (p < 0.0001), and the odds of patients in daycare were 2.2 times lower (p = 0.04) of undergoing a PSG before tonsillectomy. Weight did not influence polysomnogram requests.

CONCLUSIONS

In children under 2 years, ethnicity seems to be a predictor of OSA severity. African-American, prematurity, daycare and Down syndrome patients were significantly more represented in our study population. PSG is more likely to be requested for syndromic children.

Adenoid hypertrophy in children with allergic disease and influential factors

OBJECTIVES

Adenoid hypertrophy (AH) may cause several comorbid conditions including sleep apnea, chronic serous otitis and sinusitis. Such conditions are more common among children with allergic diseases. In our study, we aimed to determine the patient profile associated with higher incidence of adenoid hypertrophy and the related influential factors.

METHODS

The study included 1322 children being treated and followed up for allergic conditions. 100 children with no allergic diseases presenting during the same period to the clinic were included as the control group. Skin prick test for the same allergens was performed for all patients. Adenoid tissue was analyzed by an ENT specialist and the diagnosis was confirmed based on the patient history, endoscopic physical examination and radiology.

RESULTS

Of the patients, 765 (57.9%) were males and 557 (42.1%) were females and their mean age was 5.9±3.3 years. In the control group, 56 (56%) children were males and 44 (44%) were females and their mean age was 6.3±4.1 years. Children with allergic disease and control subjects did not differ significantly by age and gender. Adenoid hypertrophy was identified in 164 (12.4%) of the patients with allergic disease and in 3 (3%) of the controls. Allergic children were divided into two groups, as children with and without AH, respectively. The groups did not differ statistically significantly by gender, age or familial history of atopic disease. However, cigarette smoke exposure at home and presence of allergic rhinitis was significantly more frequent in the group of patients with AH. In the logistic model investigating the effect of variables on AH presence (according to age, gender, cigarette smoke exposure, asthma, AR, AD presence, atopy presence, sensitivity to house dust, pollen, epithelium, Alternaria alternata and cockroach), AR presence and cigarette smoke exposure were statistically significant.

CONLUSIONS

AH frequency is higher in children with allergic disease compared to controls. The most common sensitivity to allergens among patients with AH was to house dust. Presence of allergic rhinitis and cigarette smoke exposure are risk factors for developing AH. Children with these risk factors should be questioned for AH during their routine examinations.

Nasal and bronchial response to exercise in children with seasonal allergic rhinitis out of the pollen season

BACKGROUND

Allergic rhinitis is a type I allergic disease of the nasal mucosa, and is characterized by paroxysmal sneezing, watery rhinorrhea, and nasal blockage. In seasonal allergic rhinitis subjects, even subthreshold allergen doses have been found to cause inflammatory cell infiltration in the nasal mucosa. This study aimed to investigate the presence of nasal obstructions and symptoms in seasonal allergic rhinitis subjects by assessing an exercise challenge test (ECT) outside of the pollen season.

METHODS

Twenty patients and 20 healthy children who were admitted to the Osmangazi University Medical School Pediatric Allergy Clinic were included in the study in a pollen free season. The total nasal airflow and visual analog scale (for rhinorrhea, nasal congestion, sneezing, and itching) and pulmonary function tests were evaluated before and after each ECT. The nasal airflow and resistance changes were evaluated with anterior rhinomanometry.

RESULTS

Eight patients and one healthy child had nasal obstructions after the ECT. There was a significant difference in the exercise-induced nasal obstructions between the 2 groups (p = 0.02). Eighteen children with exposure to tobacco smoke in the patient and control groups had lower forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), and forced expiratory flow 25% to 75% (FEF25-75 ) values than the children without exposure to tobacco smoke.

CONCLUSION

The prevalence of exercise-induced nasal obstruction in children with seasonal rhinitis out of the pollen season is 40%. We showed that minimal persistent inflammation and nasal symptoms can also be diagnosed in rhinitis children in a symptom-free period.

Active or passive exposure to tobacco smoking and allergic rhinitis, allergic dermatitis, and food allergy in adults and children: a systematic review and meta-analysis

BACKGROUND

Allergic rhinitis, allergic dermatitis, and food allergy are extremely common diseases, especially among children, and are frequently associated to each other and to asthma. Smoking is a potential risk factor for these conditions, but so far, results from individual studies have been conflicting. The objective of this study was to examine the evidence for an association between active smoking (AS) or passive exposure to secondhand smoke and allergic conditions.

METHODS AND FINDINGS

We retrieved studies published in any language up to June 30th, 2013 by systematically searching Medline, Embase, the five regional bibliographic databases of the World Health Organization, and ISI-Proceedings databases, by manually examining the references of the original articles and reviews retrieved, and by establishing personal contact with clinical researchers. We included cohort, case-control, and cross-sectional studies reporting odds ratio (OR) or relative risk (RR) estimates and confidence intervals of smoking and allergic conditions, first among the general population and then among children. We retrieved 97 studies on allergic rhinitis, 91 on allergic dermatitis, and eight on food allergy published in 139 different articles. When all studies were analyzed together (showing random effects model results and pooled ORs expressed as RR), allergic rhinitis was not associated with active smoking (pooled RR, 1.02 [95% CI 0.92-1.15]), but was associated with passive smoking (pooled RR 1.10 [95% CI 1.06-1.15]). Allergic dermatitis was associated with both active (pooled RR, 1.21 [95% CI 1.14-1.29]) and passive smoking (pooled RR, 1.07 [95% CI 1.03-1.12]). In children and adolescent, allergic rhinitis was associated with active (pooled RR, 1.40 (95% CI 1.24-1.59) and passive smoking (pooled RR, 1.09 [95% CI 1.04-1.14]). Allergic dermatitis was associated with active (pooled RR, 1.36 [95% CI 1.17-1.46]) and passive smoking (pooled RR, 1.06 [95% CI 1.01-1.11]). Food allergy was associated with SHS (1.43 [1.12-1.83]) when cohort studies only were examined, but not when all studies were combined. The findings are limited by the potential for confounding and bias given that most of the individual studies used a cross-sectional design. Furthermore, the studies showed a high degree of heterogeneity and the exposure and outcome measures were assessed by self-report, which may increase the potential for misclassification.

CONCLUSIONS

We observed very modest associations between smoking and some allergic diseases among adults. Among children and adolescents, both active and passive exposure to SHS were associated with a modest increased risk for allergic diseases, and passive smoking was associated with an increased risk for food allergy. Additional studies with detailed measurement of exposure and better case definition are needed to further explore the role of smoking in allergic diseases.

Effects of passive smoking on snoring in preschool children

OBJECTIVE

To examine the association between passive smoking and snoring in preschool children using parent-reported questionnaires and urine cotinine levels.

STUDY DESIGN

This was a population-based cross-sectional survey of 2954 children aged 2-6 years in Hong Kong. Parent-reported questionnaires provided information on snoring and household smoking. One-third of children randomly chosen from the cohort provided urine samples for cotinine analysis. Increased urine cotinine was defined as urinary cotinine concentration ≥ 30 ng/mg creatinine. Using multivariate logistic regression analysis, we analyzed the association between snoring and passive smoking, controlling for potential confounders including age, sex, body mass index z-score, atopic diseases, recent upper respiratory tract infection, parental allergy, parental education, family income, and bedroom-sharing.

RESULTS

A total of 2187 completed questionnaires were included in the final analysis, and 724 children provided urine samples for cotinine measurement. After adjustment for confounding factors, questionnaire-based household smoking (>10 cigarettes/d: OR = 2.22, 95% CI = 1.02-4.81) and increased urine cotinine (OR = 4.37, 95% CI = 1.13-16.95) were significant risk factors for habitual snoring (snoring ≥ 3 nights per week). For occasional snoring (snoring 1-2 nights per week), reported household smoking (1-10 cigarettes/d: OR = 1.41, 95% CI = 1.14-1.76; >10 cigarettes/d: OR = 1.56, 95% CI = 1.05-2.31), and increased urine cotinine (OR = 1.82, 95% CI = 1.03-3.20) were also identified as significant risk factors. A dose-effect relationship was found for snoring frequency and adjusted natural logarithms of urinary cotinine concentrations (P < .001).

CONCLUSIONS

Environmental tobacco smoke exposure is an independent risk factor for snoring in preschool children. Parents' smoking cessation should be encouraged in management of childhood snoring.

Prevalence and classification of rhinitis in preschool children in Portugal: a nationwide study

BACKGROUND

Information on rhinitis epidemiology in preschool children is scarce.

OBJECTIVES

To estimate, in children with 3-5 years of age, current rhinitis prevalence, to describe rhinitis symptoms and associated sociodemographic characteristics, and to report allergic rhinitis and its impact on asthma (ARIA) classification.

METHODS

Cross-sectional, nationwide, population-based study including children aged 3-5 years. A multistep selection strategy was used to obtain a representative sample. Data were collected at kindergartens and parish centers by face-to-face interview to caregivers, using an adapted ISAAC questionnaire. 'Current rhinitis' (CR) was defined as the presence of ≥1 rhinitis symptom (repeated sneezing and/or itchy nose, blocked nose for >1 h, or runny nose without having a cold/flu) in the last year. Rhinitis lasting ≥4 days/week and ≥4 consecutive weeks was classified as persistent. Moderate-severe disease interfered 'a moderate amount' or 'a lot' in daily activities.

RESULTS

Five thousand and eighteen children were included. CR prevalence was 43.4% [95% CI (42.0-44.8%); n = 2179] and that of physician-diagnosed rhinitis was 11.7% [95% CI (10.8-12.6%); n = 588]. Of children with CR, 67% reported blocked nose, 48% rhinorrhea, and 46% sneezing/itchy nose. Considering ARIA classification, 30% of the population had mild intermittent, 3% mild persistent, 7% moderate-severe intermittent, and 3% moderate-severe persistent rhinitis. Children with CR had more current wheezing, physician-diagnosed asthma, self-reported food allergy, and family history of allergic disease. These characteristics were also associated with persistent and moderate-severe rhinitis.

CONCLUSIONS

This is the first nationwide population-based study reporting rhinitis prevalence and ARIA classification in preschool children. In this age-group, rhinitis is frequent and underdiagnosed. About 25% children with rhinitis presented moderate-severe disease.

Rising trend of allergic rhinitis prevalence among Turkish schoolchildren

OBJECTIVES

To assess the time trends and possible risk factors associated with allergic rhinitis symptoms in schoolchildren from Denizli, Turkey.

METHOD

Two identical cross-sectional surveys were performed in the 13- to 14-yr age group at intervals of six years using ISAAC questionnaire. Possible risk factors were also asked and the children completed questionnaires by self.

RESULTS

A total of 4078 children (response rate 75%) in the 2008 and 3004 children (response rate, 93.8%) in 2002 were included. The lifetime prevalence of rhinitis, 12-month prevalence of rhinitis, prevalence of associated itchy eye in the previous 12 months and doctor diagnosed allergic rhinitis prevalence were increased from 34.2% to 49.4% (POR=1.87, 95% CI=47.8-50.9 and p ≤ 0.001), from 23.5.0% to 32.9% (POR=1.59, 95% CI=31.4-34.3 and p ≤ 0.001), from 9.6% to 14.9% (POR=1.64, 95% CI=13.8-16.0 and p ≤ 0.001), and from 4.3% to 7% (POR=1.67, 95% CI=6.2-7.8 and p ≤ 0.001) respectively. Severe interference with daily activity in the previous 12 months did not change. In multivariate analysis, history of family atopy, stuffed toys, high annual family income, presence of allergy in mother, father and accompaniment of children to their parents after school hours in textile industry were found as risk factors in 2008 study.

CONCLUSION

The prevalence of allergic rhinitis increased significantly in 2008. Family history of atopy, stuffed toys, high annual family income and accompaniment of children to their parents in textile industry were found as risk factors for doctor diagnosed allergic rhinitis.

Symptoms at presentation in children with sleep-related disorders

OBJECTIVE

To assess the link between sleep-disordered breathing and cognitive function in children. To identify correlations among polysomnography, upper respiratory infections, or cephalometric as well as rhinometric measures.

METHODS

This study is based on a questionnaire survey of snoring in a population cohort of 2100 children. Altogether, 44 snorers and 51 non-snorers participated in this community based clinical study. All children underwent polysomnography, cephalometry and rhinometric measurements. In addition, a standardized test of intelligence (WPPSI-R), a neuropsychological test battery (NEPSY) and a parental questionnaire on behavioral symptoms (CBCL) were administered.

RESULTS

Frequently snoring children scored lower in Language functions (Comprehension of Instructions, P=0.01; Speeded naming, P=0.007) and had more internalizing problems, P=0.04 than did the non-snoring group. However, the polysomnography parameters of these snoring children revealed no major sleep-related breathing disorder. OAHI, mean lowest SpO(2) and respiratory effort correlated with Auditory Attention (P<0.05), Body Part Naming (P<0.05) and Memory (P<0.05). Tonsillar size correlated with OAHI (P<0.01) and respiratory effort (P=0.01) and respiratory airflow (P<0.01). In cephalometry, the minimal distance from velum to posterior wall was shorter showing the shorter length among snorers than non-snorers, 5.5mm vs. 6.6mm, respectively (P<0.05). Recurrent upper respirataory infections (URIs) were common among the snoring than non-snoring children (P=0.01). Children suffering recurrent URIs have more somatic complaints than children without recurrent URIs (P<0.01).

CONCLUSIONS

Snoring children with apparently normal and/or no obstructive apnea, hypopnea, or marked SpO(2) desaturations appear to suffer impairment in neurocognitive and behavioral functions compared to non-snoring children. These snoring children did not reveal any major abnormalities of polysomnographic parameters, such as sleep-related breathing disorder, including partial upper airway obstruction. Polysomnographic parameters also correlated poorly with neurocognitive test results in these snoring children. The correlations between polysomnography and upper respiratory infections, with cephalometric and rhinometric measures, were also poor.