Factores asociados al estrés del cuidador primario de niños con autismo: Sobrecarga, psicopatología y estado de salud

The objective of this study was to evaluate if caregivers were overloaded when their children were diagnosed with autism disorder, how it may influence their mental and physical health. 40 caregivers have been participating in this study, mainly mothers. The parameters studied include sociodemographic factors, caregivers burden overload (Zarit Scale, adapted to the Spanish language), Psychopathology (SCL-90) and health status (SF-60). The results indicate that caregivers were overloaded, and in a worse state of mental and physical health compared to the general population. A strong positive correlation was observed between overwhelmed carers and the evaluated health and pathopsicological parameters. These results are in accordance with previous findings that were published by other groups, supporting the idea that specific health programs are needed for caregivers of children with chronic diseases.

Cambios emocionales y alteraciones en la Inmunoglobulina A (IgA) tras el tratamiento psicológico en mujeres víctimas de violencia doméstica

The aim of this study was to determine the benefits of a psy-chological treatment in women victims of mistreatments in psychological health and in the immune system. The participants in this study were 60 women users of the Equality Area of the City Council of Malaga. We set two groups of women up in relation of whether the women attended or not to the given therapy. Psychological variables (self-esteem, depression and anxiety) and levels of Inmunoglobulin A were evaluated before and after the treatment. The results showed differences between all the vari-ables before and after the treatment, with better valuation after the treat-ment. These differences were not shown in women that did not assist to the therapeutic sessions, and even, the values of depression and immu-noglobulin A levels were worse. We found also differences in the values of these variables when the two groups were compared. Women that re-ceived the treatment showed fewer indicators of psychological alterations and higher levels of immunoglobulin A than the women that did not assist to the sessions; in the pre-treatment these differences were not shown. This study enhances the significance of the psychological treatment for psychological and physic health in women victims of

Comprehensive analysis of RET common and rare variant patientsin a series of Spanish Hirschsprung patients confirms a synergistic effect of both kinds of events

Background. RET is the major gene associated to Hirschsprung disease (HSCR) with differential contributions of its rare and common, coding and noncoding mutations to the multifactorial nature of this pathology. In the present study, we have performed a comprehensive study of our HSCR series evaluating the involvement of both RET rare variants (RVs) and common variants (CVs) in the context of the disease. Methods. RET mutational screening was performed by dHPLC and direct sequencing for the identification of RVs. In addition Taqman technology was applied for the genotyping of 3 RET CVs previously associated to HSCR, including a variant lying in an enhancer domain within RET intron 1 (rs2435357). Statistical analyses were performed using the SPSS v.17.0 to analyze the distribution of the variants. Results. Our results confirm the strongest association to HSCR for the "enhancer" variant, and demonstrate a significantly higher impact of it in male versus female patients. Integration of the RET RVs and CVs analysis showed that in 91.66% of cases with both kinds of mutational events, the enhancer allele is in trans with the allele bearing the RET RV. Conclusions. A gender effect exists on both the transmission and distribution of rare coding and common HSCR causing mutations. In addition, these RET CVs and RVs seem to act in a synergistic way leading to HSCR phenotype.

Effective diagnosis of Alzheimer's disease by means of large margin-based methodology.

BACKGROUND Functional brain images such as Single-Photon Emission Computed Tomography (SPECT) and Positron Emission Tomography (PET) have been widely used to guide the clinicians in the Alzheimer's Disease (AD) diagnosis. However, the subjectivity involved in their evaluation has favoured the development of Computer Aided Diagnosis (CAD) Systems. METHODS It is proposed a novel combination of feature extraction techniques to improve the diagnosis of AD. Firstly, Regions of Interest (ROIs) are selected by means of a t-test carried out on 3D Normalised Mean Square Error (NMSE) features restricted to be located within a predefined brain activation mask. In order to address the small sample-size problem, the dimension of the feature space was further reduced by: Large Margin Nearest Neighbours using a rectangular matrix (LMNN-RECT), Principal Component Analysis (PCA) or Partial Least Squares (PLS) (the two latter also analysed with a LMNN transformation). Regarding the classifiers, kernel Support Vector Machines (SVMs) and LMNN using Euclidean, Mahalanobis and Energy-based metrics were compared. RESULTS Several experiments were conducted in order to evaluate the proposed LMNN-based feature extraction algorithms and its benefits as: i) linear transformation of the PLS or PCA reduced data, ii) feature reduction technique, and iii) classifier (with Euclidean, Mahalanobis or Energy-based methodology). The system was evaluated by means of k-fold cross-validation yielding accuracy, sensitivity and specificity values of 92.78%, 91.07% and 95.12% (for SPECT) and 90.67%, 88% and 93.33% (for PET), respectively, when a NMSE-PLS-LMNN feature extraction method was used in combination with a SVM classifier, thus outperforming recently reported baseline methods. CONCLUSIONS All the proposed methods turned out to be a valid solution for the presented problem. One of the advances is the robustness of the LMNN algorithm that not only provides higher separation rate between the classes but it also makes (in combination with NMSE and PLS) this rate variation more stable. In addition, their generalization ability is another advance since several experiments were performed on two image modalities (SPECT and PET).