Development and validation of a risk score to predict the probability of postoperative vomiting in pediatric patients: the VPOP score.

BACKGROUND: Few data are available in the literature on risk factors for postoperative vomiting (POV) in children. OBJECTIVE: The aim of the study was to establish independent risk factors for POV and to construct a pediatric specific risk score to predict POV in children. METHODS: Characteristics of 2392 children operated under general anesthesia were recorded. The dataset was randomly split into an evaluation set (n = 1761), analyzed with a multivariate analysis including logistic regression and backward stepwise procedure, and a validation set (n = 450), used to confirm the accuracy of prediction using the area under the receiver operating characteristic curve (ROCAUC ), to optimize sensitivity and specificity. RESULTS: The overall incidence of POV was 24.1%. Five independent risk factors were identified: stratified age (>3 and <6 or >13 years: adjusted OR 2.46 [95% CI 1.75-3.45]; ≥6 and ≤13 years: aOR 3.09 [95% CI 2.23-4.29]), duration of anesthesia (aOR 1.44 [95% IC 1.06-1.96]), surgery at risk (aOR 2.13 [95% IC 1.49-3.06]), predisposition to POV (aOR 1.81 [95% CI 1.43-2.31]), and multiple opioids doses (aOR 2.76 [95% CI 2.06-3.70], P < 0.001). A simplified score was created, ranging from 0 to 6 points. Respective incidences of POV were 5%, 6%, 13%, 21%, 36%, 48%, and 52% when the risk score ranged from 0 to 6. The model yielded a ROCAUC of 0.73 [95% CI 0.67-0.78] when applied to the validation dataset. CONCLUSIONS: Independent risk factors for POV were identified and used to create a new score to predict which children are at high risk of POV.

Dry night cough as a marker of allergy in preschool children: the PARIS birth cohort.

BACKGROUND: Early detection of children at risk for developing allergy is an important challenge. Our first analyses in infants from the Pollution and Asthma Risk: an Infant Study (PARIS) birth cohort suggested that dry night cough was associated with parental-reported allergic disorders. The aim of the present study was to refine this finding by investigating the time course of dry night cough from birth to age 4 yr in relation to blood markers of atopy and allergic morbidity. METHODS: Health outcomes were regularly assessed by parental self-administered questionnaires. Blood markers of atopy were measured at age 18 months. Children with similar patterns of dry night cough over the first 4 yr of life were grouped together using k-means clustering. Associations with atopy/allergy were studied using multinomial logistic regression. RESULTS: Three trajectories of dry night cough were identified in 1869 children. Besides the never/infrequent pattern (72.4%), the transient pattern (8.8%) was composed of children who coughed in the first year and recovered by age 4 yr, while the rising pattern (18.8%) included all symptomatic children at age 4 yr, whether they were persistent or late coughers. Compared with the never/infrequent pattern, the rising pattern was significantly associated with elevated total immunoglobulin E (IgE) level (odds ratio [OR] = 1.70, 95% confidence interval [CI] = 1.21-2.39) and inhalant allergens sensitization (OR = 2.66, 95% CI = 1.26-5.61) at age 18 months, and with doctor-diagnosed allergic diseases over the first 4 yr such as hay fever (OR = 2.52, 95% CI = 1.49-4.26) and eczema (OR = 1.29, 95% CI = 1.00-1.66). CONCLUSIONS: This study provides evidence that persistent/late dry night cough may indicate allergy in preschool children.

Risk factors and characteristics of respiratory and allergic phenotypes in early childhood.

BACKGROUND: Unsupervised approaches can be used to analyze complex respiratory and allergic disorders. OBJECTIVE: We investigated the respiratory and allergic phenotypes of children followed in the Pollution and Asthma Risk: An Infant Study (PARIS) birth cohort. METHODS: Information on respiratory and allergic disorders, medical visits, and medications was collected during medical examinations of children at 18 months of age; biomarker data were also collected (total and allergen-specific IgE levels and eosinophilia). Phenotypes were determined by using latent class analysis. Associated risk factors were determined based on answers to questionnaires about environmental exposures. RESULTS: Apart from a reference group, which had a low prevalence of respiratory symptoms or allergies (n=1271 [69.4%]), 3 phenotypes were identified. On the basis of clinical signs of severity and use of health care resources, we identified a mild phenotype (n=306 [16.7%]) characterized by occasional mild wheeze and 2 severe phenotypes separated by atopic status. The atopic severe phenotype (n=59 [3.2%]) included 49 (83%) children with wheezing and was characterized by a high prevalence of atopy (61% with allergenic sensitization) and atopic dermatitis (78%). In contrast, atopy was rare among children with the nonatopic severe phenotype (n=195 [11%]); this group included 88% of the children with recurrent wheezing. Risk factors for respiratory disease included parental history of asthma, male sex, siblings, day care attendance, exposure to tobacco smoke or molds, indoor renovations, and being overweight, although these factors did not have similar affects on risk for all phenotypes. CONCLUSION: Atopy should be taken into account when assessing the risk of severe exacerbations (that require hospital-based care) in wheezing infants; precautions should be taken against respiratory irritants and molds and to prevent children from becoming overweight.

Cough and dyspnoea may discriminate allergic and infectious respiratory phenotypes in infancy.

Asthma symptoms are non-specific during infancy, making the identification of different subgroups among preschool children with early respiratory manifestations an important challenge. We previously used a clustering approach to identify bronchial obstructive phenotypes in 1-yr-old infants from the Pollution and Asthma Risk: an Infant Study (PARIS) birth cohort. In the present study, we examined whether these phenotypes were stable at 3 yr and studied their comorbidity and risk factors. Partitioning around medoids (PAM) method was applied at 1 and 3 yr of age to cluster children according to wheezing, dry night cough, dyspnoea with sleep disturbance and breathlessness. The resulting groups were used to derive phenotypes in 2084 children during their first 3 yr of life. Analysis of associated comorbidity and risk factors was conducted using multinomial logistic regression. PAM groups were similarly defined at both ages so that two respiratory phenotypes were identified between birth and 3 yr: cough phenotype (CP) and dyspnoea phenotype (DP) including 14.1% and 30.7% of children, respectively. CP infants experienced more often allergic features than DP, dominated by respiratory infections. Parental history of allergy, potential allergen exposure and psychosocial factors were associated with CP. Day care centre attendance was more frequent in DP as well as exposure to domestic chemical pollution, suggesting a greater vulnerability to pathogens. Finally, dry night cough and dyspnoea disturbing the sleep appear to be markers of two respiratory profiles potentially allergic and infectious before 3 yr old.

Can early household exposure influence the development of rhinitis symptoms in infancy? Findings from the PARIS birth cohort.

BACKGROUND: Allergic rhinitis (AR) has become the most prevalent chronic allergic disorder in childhood, and the role of environment has been questioned, particularly in early life. OBJECTIVE: To investigate the risk factors for rhinitis symptoms in infants included in the PARIS (Pollution and Asthma Risk: an Infant Study) birth cohort. METHODS: Infants were invited to participate at age 18 months in a health examination conducted by a pediatrician. Allergic rhinitis was defined as the presence of rhinitis symptoms (runny nose, blocked nose, sneezing in the absence of a cold) combined with biological atopy (elevated total immunoglobulin E [IgE], specific IgE, or eosinophilia) and nonallergic rhinitis (NAR) as symptoms without biological atopy. Information about indoor exposures and lifestyle was collected during a telephone interview when the child was 1 month of age. Risk factors for AR and NAR were studied by using a polytomous regression model. RESULTS: The prevalence of AR and NAR was 70/1,850 (3.8%) and 99/1,850 (5.4%), respectively. Allergic rhinitis and NAR did not share similar risk factors. Male sex (odds ratio [OR] = 1.99 [1.19-3.32]), parental history of AR (OR = 1.89 [1.16-3.08]), low socioeconomic class (OR = 2.23 [1.05-4.72] for low vs high level), and the presence of cockroaches in the home (OR = 3.15 [1.67-5.96]) were risk factors for AR. Conversely, the presence of particle-board furniture less than 12 months old in the child's bedroom was associated with an increased risk of NAR (OR = 1.87 [1.21-2.90]). CONCLUSIONS: This study should raise awareness about the impact of indoor exposures, particularly with regard to cockroaches and particle-board furniture, because they could influence the occurrence of noninfectious rhinitis.

Bronchial obstructive phenotypes in the first year of life among Paris birth cohort infants.

As the natural history of respiratory and allergic manifestations is unclear, our ongoing Paris birth cohort study prospectively assesses the onset of these symptoms in early childhood. Data were collected by five questionnaires sent at regular intervals during the first year of life. Partitioning around medoids (PAM) was used to classify infants according to their bronchial obstructive symptoms. A polytomous logistic regression was performed to assess the eventual predictable power of various respiratory events and perinatal factors. Results are given for 2698 infants. Atopic dermatitis occurred in 17.9% of infants. The main respiratory symptoms in infancy were wheeze in the chest (22%), dyspnoea responsible for sleep disturbance (23.7%), nocturnal dry cough (14.5%) and shortness of breath (4.2%). The PAM method identified three groups of infants. Apart from the G0 group of infants mostly asymptomatic, two distinct clinical phenotypes (G1 and G2: 8.7% and 23.5% of total infants respectively) emerged. G2 was defined by severe bronchial obstructive disorders as all cases of dyspnoea with sleep disturbance were included in this group, while all infants assigned in G1 suffered from nocturnal dry cough. G2 group infants had significantly higher rates of respiratory events while a parental history of asthma, symptoms suggestive of rhino-conjunctivitis and birth season clearly differentiated the G1 group. Finally, G1 and G2 group infants should be closely followed up as they are expected to develop allergic and asthmatic phenotypes, possibly in relation to environmental and behavioural risk factors.

Nasal inflammation and personal exposure to fine particles PM2.5 in asthmatic children.

BACKGROUND: Outdoor and indoor air pollutants are suspected to induce harmful effects on respiratory health, raising the question of their involvement in allergic asthma and rhinitis. OBJECTIVE: The potential effect of short-term personal exposure to particulate matter with a diameter of less than 2.5 microm (PM2.5) on nasal inflammation was examined in children living in the Paris area. METHODS: Forty-one children with allergic asthma and 44 healthy children participated in this study. They were monitored during 48 hours for their personal exposure to PM2.5. At the end of the measurement period, children underwent one nasal lavage. Nasal lavage fluid was investigated for cellular (neutrophils and eosinophils) and soluble (albumin, urea, elastase, alpha1-antitrypsin, IL-6, and IL-8) mediators. RESULTS: Pollutant concentrations did not differ between the 2 groups. In asthmatic subjects, but not in healthy children, personal PM2.5 levels were correlated to nasal percentage of eosinophils and to albumin, urea, and alpha1-antitrypsin concentrations after adjustment for confounders (age, sex, house dust mites, pollens, cat, environmental tobacco smoke through urinary cotinine, barometric pressure, and respiratory infection). CONCLUSION: The association observed with the percentage of eosinophils supports recent speculations on fine particle involvement in allergic phenotype overexpression. CLINICAL IMPLICATIONS: This study highlights the link between personal fine particle exposures and nasal inflammation in asthmatic allergic children living in urban areas. Because the view of united airways is still not completely understood, the question of pulmonary inflammation in such a situation deserves further investigation.