Non-IgE-mediated gastrointestinal allergies-Do they have a place in a new model of the Allergic March

2019 ◽  
Vol 30 (2) ◽  
pp. 149-158 ◽  
Author(s):  
Rosan Meyer ◽  
Adam T. Fox ◽  
Adriana Chebar Lozinsky ◽  
Louise J. Michaelis ◽  
Neil Shah
2019 ◽  
Vol 40 (3) ◽  
pp. 187-192 ◽  
Author(s):  
Francisco Gil ◽  
Mikel Mendizabal ◽  
Ana Amezqueta ◽  
Elena Aznal ◽  
Teodoro Durá ◽  
...  

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.


Author(s):  
H. Akabori ◽  
K. Nishiwaki ◽  
K. Yoneta

By improving the predecessor Model HS- 7 electron microscope for the purpose of easier operation, we have recently completed new Model HS-8 electron microscope featuring higher performance and ease of operation.


2005 ◽  
Vol 173 (4S) ◽  
pp. 140-141
Author(s):  
Mariana Lima ◽  
Celso D. Ramos ◽  
Sérgio Q. Brunetto ◽  
Marcelo Lopes de Lima ◽  
Carla R.M. Sansana ◽  
...  

Author(s):  
Thorsten Meiser

Stochastic dependence among cognitive processes can be modeled in different ways, and the family of multinomial processing tree models provides a flexible framework for analyzing stochastic dependence among discrete cognitive states. This article presents a multinomial model of multidimensional source recognition that specifies stochastic dependence by a parameter for the joint retrieval of multiple source attributes together with parameters for stochastically independent retrieval. The new model is equivalent to a previous multinomial model of multidimensional source memory for a subset of the parameter space. An empirical application illustrates the advantages of the new multinomial model of joint source recognition. The new model allows for a direct comparison of joint source retrieval across conditions, it avoids statistical problems due to inflated confidence intervals and does not imply a conceptual imbalance between source dimensions. Model selection criteria that take model complexity into account corroborate the new model of joint source recognition.


1986 ◽  
Vol 31 (2) ◽  
pp. 108-109
Author(s):  
Alexandra G. Kaplan
Keyword(s):  

PsycCRITIQUES ◽  
2004 ◽  
Vol 49 (Supplement 13) ◽  
Author(s):  
Paul E. Priester
Keyword(s):  

1993 ◽  
Vol 38 (4) ◽  
pp. 406-407
Author(s):  
Donald B. Yarbrough ◽  
Monika Schaffner

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