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1.
BMC Pediatr ; 16: 74, 2016 06 02.
Article in English | MEDLINE | ID: mdl-27255511

ABSTRACT

BACKGROUND: To date, diagnosing food allergies in children still presents a diagnostic dilemma, leading to uncertainty concerning the definite diagnosis of peanut allergy, as well as to the need for strict diets and the potential need for adrenalin auto-injectors. This uncertainty in particular is thought to contribute to a lower quality of life. In the diagnostic process double-blind food challenges are considered the gold standard, but they are time-consuming as well as potentially hazardous. Other diagnostic tests have been extensively studied and among these component-resolved diagnostics appeared to present a promising alternative: Ara h2, a peanut storage protein in previous studies showed to have a significant predictive value. METHODS: Sixty-two out of 72 children, with suspected peanut allergy were analyzed using serum specific IgE and/or skin prick tests and specific IgE to several components of peanut (Ara h 1, 2, 3, 6, 8, 9). Subsequently, double-blind food challenges were performed. The correlation between the various diagnostic tests and the overall outcome of the double-blind food challenges were studied, in particular the severity of the reaction and the eliciting dose. RESULTS: The double-blind provocation with peanut was positive in 33 children (53 %). There was no relationship between the eliciting dose and the severity of the reaction. A statistically significant relationship was found between the skin prick test, specific IgE directed to peanut, Ara h 1, Ara h 2 or Ara h 6, and the outcome of the food challenge test, in terms of positive or negative (P < .001). However, we did not find any relationship between sensitisation to peanut extract or the different allergen components and the severity of the reaction or the eliciting dose. There was no correlation between IgE directed to Ara h 3, Ara h 8, Ara h 9 and the clinical outcome of the food challenge. CONCLUSIONS: This study shows that component-resolved diagnostics is not superior to specific IgE to peanut extract or to skin prick testing. At present, it cannot replace double-blind placebo-controlled food challenges for determination of the eliciting dose or the severity of the peanut allergy in our patient group.


Subject(s)
Antigens, Plant/immunology , Arachis/immunology , Dietary Proteins/immunology , Immunoglobulin E/blood , Peanut Hypersensitivity/diagnosis , Plant Proteins/immunology , Adolescent , Biomarkers/blood , Child , Child, Preschool , Double-Blind Method , Female , Glycoproteins/immunology , Humans , Logistic Models , Male , Peanut Hypersensitivity/blood , Peanut Hypersensitivity/immunology , Predictive Value of Tests , Prospective Studies , Skin Tests
2.
Respir Care ; 57(9): 1391-7, 2012 Sep.
Article in English | MEDLINE | ID: mdl-22348677

ABSTRACT

INTRODUCTION: Severe acute asthma in children is associated with substantial morbidity and may require pediatric ICU (PICU) admission. The aim of the study was to determine risk factors for PICU admission. METHODS: The study used a retrospective multicenter case-control design. The cases included children admitted to the PICU because of severe acute asthma and a history of out-patient treatment by pediatricians or pediatric pulmonologists. Controls were children with asthma without a PICU admission for severe acute asthma. The children were matched for sex, age, hospital, and time elapsed since the diagnosis of asthma. Fourteen possible risk factors were analyzed. RESULTS: Sixty-six cases were matched to 164 controls. In univariate analysis, all but one of the analyzed variables were significantly associated with PICU-hospitalization. After multivariate conditional logistic regression analysis, 4 risk factors remained significant. These included active or passive smoking, allergies, earlier hospitalization for asthma, and non-sanitized home. CONCLUSIONS: Physicians and parents should be aware of these risk factors, and efforts should be made to counteract them.


Subject(s)
Asthma/etiology , Dust , Hospitalization , Hypersensitivity/complications , Intensive Care Units, Pediatric , Smoking/adverse effects , Acute Disease , Adolescent , Asthma/therapy , Case-Control Studies , Child , Child, Preschool , Female , Housing , Humans , Infant , Logistic Models , Male , Multivariate Analysis , Risk Factors , Tobacco Smoke Pollution/adverse effects
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