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Background: Cow milk allergy (CMA) is the most common food allergy in breastfed infants. The aim of this study is to verify whether certain perinatal factors may influence the development of CMA immunoglobulin E (IgE)+. Methods: A retrospective, observational study of case and control groups was carried out. Information was collected of patients with CMA IgE+ from our department during the years 1990-2013. Patients of the same age and sex were recruited for the control group. Information on the following variables was collected: sex, age, pregnancy tolerance, duration of pregnancy, type of delivery, isolated doses of formula feeding in hospital (FFH), duration of breastfeeding, and family history of allergy (defined as ≥1 first-degree family member with allergic disease). Statistical analysis was performed using multivariate logistic regression techniques. Results: A total of 211 cases were included in this study. Multivariate analysis showed an influence of duration of breastfeeding, FFH to be a risk factor (OR 4.94; 95% CI 2.68-9.08), especially in caesarean delivery (OR 11.82; 95% CI 2.64-47.50), and prematurity (OR 0.29; 95% CI 0.09-0.92) to be a protective factor. Conclusions: Perinatal factors play a key role in the development of CMA IgE+, with an influence of breastfeeding duration, FFH and caesarean delivery as risk factors and prematurity as a protective factor. While family history had no important role, environmental factors were more decisive.

Background: Cow milk allergy (CMA) is the most common food allergy in infants. Some patients will express, in the future, other allergic diseases (allergic march). Objective: To evaluate if a new scoring system could determine the risk of developing allergic march. Methods: A retrospective observational cohort study of subjects who were immunoglobulin E (IgE) mediated was conducted. We defined a risk score for atopy (RSA), including clinical and laboratory variables. Three risk groups were defined according to the RSA. We defined as dependent variables atopy (one or more allergic diseases) and atopy+ (two or more allergic diseases). A multivariate logistic regression model was created, which included RSA and the type of formula (high-grade extended hydrolyzed formula [EHF] with Lactobacillus rhamnosus GG (LGG), high-grade EHF without LGG, and other formulas). Results: A total of 211 patients were recruited. When we analyzed the risk of atopy+, we found an increased risk for RSA intermediate-risk (odds ratio [OR 2.08] [95% confidence interval {CI}, 0.95‐4.56) and high-risk (OR 24.74 [95% CI, 6.26‐97.73]) groups, and a decreased risk for the subjects fed with high-grade EHF (OR 0.42 [95% CI, 0.20‐0.87]) and also in those subjects fed with high-grade EHF plus LGG (OR 0.30 [95% CI, 0.09‐0.98]). Conclusion: RSA is a simple and useful tool to predict the risk of developing other allergic diseases in patients with IgE-mediated CMA.

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The annual incidence rate of child epilepsy in Navarre shows a similar rate as described for other western countries, with the highest incidence rate during the first year of life, diminishing gradually until adolescence. Published data concerning relative frequency of epilepsy and epileptic syndromes are quite discordant. The difficulties in establishing a syndromic diagnosis require the application of uniform criteria in order to obtain valid and comparable epidemiological information.