6 resultados para CART

em Consorci de Serveis Universitaris de Catalunya (CSUC), Spain


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Abstract Background HIV-1 infection increases plasma levels of inflammatory markers. Combination antiretroviral therapy (cART) does not restore inflammatory markers to normal levels. Since intensification of cART with raltegravir reduced CD8 T-cell activation in the Discor-Ral and IntegRal studies, we have evaluated the effect of raltegravir intensification on several soluble inflammation markers in these studies. Methods Longitudinal plasma samples (0–48 weeks) from the IntegRal (n = 67, 22 control and 45 intensified individuals) and the Discor-Ral studies (44 individuals with CD4 T-cell counts<350 cells/µl, 14 control and 30 intensified) were assayed for 25 markers. Mann-Whitney, Wilcoxon, Spearman test and linear mixed models were used for analysis. Results At baseline, different inflammatory markers were strongly associated with HCV co-infection, lower CD4 counts and with cART regimens (being higher in PI-treated individuals), but poorly correlated with detection of markers of residual viral replication. Although raltegravir intensification reduced inflammation in individuals with lower CD4 T-cell counts, no effect of intensification was observed on plasma markers of inflammation in a global analysis. An association was found, however, between reductions in immune activation and plasma levels of the coagulation marker D-dimer, which exclusively decreased in intensified patients on protease inhibitor (PI)-based cART regimens (P = 0.040). Conclusions The inflammatory profile in treated HIV-infected individuals showed a complex association with HCV co-infection, the levels of CD4 T cells and the cART regimen. Raltegravir intensification specifically reduced D-dimer levels in PI-treated patients, highlighting the link between cART composition and residual viral replication; however, raltegravir had little effect on other inflammatory markers.

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Eligibility criteria might explain differences in viral response to combined antiretroviral treatment (cART) between clinical trials and routine care setting. Prospective analysis including HIV-1 infected patients starting cART between January 2004 and December 2009, at Hospital Universitari Vall d’Hebron. Effectiveness evaluated as time to treatment failure (TF), defined as virologic failure, loss to follow-up, death or treatment discontinuation whatever the reason other than switching. Effectiveness month 12, 24 and 36 was 82.9%, 78.5% and 76%, respectively. 57 (24.6%) patients presented TF, mainly due to intolerance or toxicity. Higher risk in patients starting before 2006 and those with protease inhibitor based regimen.

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L’objectiu d’aquest estudi és comprovar si una millor relació entre gimnasta i entrenadora és un factor determinant per a poder obtenir més resultats en les competicions. S’estudien tres grups dividits per tres nivells diferents: Escolar (8 gimnastes), Promogym (11 gimnastes) i Tecnificació (28 gimnastes). A partir d’una adaptació feta dels qüestionaris Cart-Q de Jowett i Ntoumanis (2004) i l’ SF-PANAS de Thompson (2007) es realitzarà l’anàlisi de la relació gimnasta-entrenadora abans de dues competicions, on s’analitzaran els podis. Observant l’estudi, una baixada de mitjanes dels aspectes de les 3 C’s (proximitat, compromís i complementarietat) estava acompanyat d’una baixada de resultats i una pujada de les mitjanes de les 3 C’s estava relacionat amb l’obtenció de més podis. Per tant, a l’hora de valorar els resultats en competició la relació gimnasta-entrenadora és un factor important a tenir en compte.

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Background: Development of three classification trees (CT) based on the CART (Classification and Regression Trees), CHAID (Chi-Square Automatic Interaction Detection) and C4.5 methodologies for the calculation of probability of hospital mortality; the comparison of the results with the APACHE II, SAPS II and MPM II-24 scores, and with a model based on multiple logistic regression (LR). Methods: Retrospective study of 2864 patients. Random partition (70:30) into a Development Set (DS) n = 1808 and Validation Set (VS) n = 808. Their properties of discrimination are compared with the ROC curve (AUC CI 95%), Percent of correct classification (PCC CI 95%); and the calibration with the Calibration Curve and the Standardized Mortality Ratio (SMR CI 95%). Results: CTs are produced with a different selection of variables and decision rules: CART (5 variables and 8 decision rules), CHAID (7 variables and 15 rules) and C4.5 (6 variables and 10 rules). The common variables were: inotropic therapy, Glasgow, age, (A-a)O2 gradient and antecedent of chronic illness. In VS: all the models achieved acceptable discrimination with AUC above 0.7. CT: CART (0.75(0.71-0.81)), CHAID (0.76(0.72-0.79)) and C4.5 (0.76(0.73-0.80)). PCC: CART (72(69- 75)), CHAID (72(69-75)) and C4.5 (76(73-79)). Calibration (SMR) better in the CT: CART (1.04(0.95-1.31)), CHAID (1.06(0.97-1.15) and C4.5 (1.08(0.98-1.16)). Conclusion: With different methodologies of CTs, trees are generated with different selection of variables and decision rules. The CTs are easy to interpret, and they stratify the risk of hospital mortality. The CTs should be taken into account for the classification of the prognosis of critically ill patients.

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Brown packaging linerboard, made entirely from recovered pulp, was subjected to deinking flotation for evaluating the possible improvements in its chemical, optical and mechanical properties. The increase in the rate of recovered paper utilisation, along with the tendency towards lower basis weights, in the packaging paper production, has created a growing need for the utilisation of secondary fibers of improved quality. To attain better quality fibers, flotation deinking of brown grades is being considered, along with the addition of primary fibers to recovered paper furnish. Numerous conducted studies, in which the flotation technology was used in the treatment of brown grades, support this idea. Most of them show that the quality of fibers is improved after flotation deinking, resulting in higher mechanical properties of the deinked handsheets and in lower amounts of chemical contaminants. As to food and human health safety, packaging paper has to meet specific requirements, to be classified as suitable for its direct contact with foods. Recycled paper and board may contain many potential contaminants, which, especially in the case of direct food contact, may migrate from packaging materials into foodstuffs. In this work, the linerboard sample selected for deinking was made from recycled fibers not submitted previously to chemical deinking flotation. Therefore, the original sample contained many noncellulosic components, as well as the residues of printing inks. The studied linerboardsample was a type of packaging paper used for contact with food products that are usually peeled before use, e.g. fruits and vegetables. The decrease in the amount of chemical contaminants, after conducting deinking flotation, was evaluated, along with the changes in the mechanical and optical properties of the deinked handsheets. Food contact analysis was done on both the original paper samples and the filter pads and handsheets made before and after deinking flotation. Food contact analysis consisted of migration tests of brightening agents, colorants, PCPs, formaldehydes and metals. Microbiological tests were also performed to determine the possible transfer of antimicrobial constituents

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Objective: We used demographic and clinical data to design practical classification models for prediction of neurocognitive impairment (NCI) in people with HIV infection. Methods: The study population comprised 331 HIV-infected patients with available demographic, clinical, and neurocognitive data collected using a comprehensive battery of neuropsychological tests. Classification and regression trees (CART) were developed to btain detailed and reliable models to predict NCI. Following a practical clinical approach, NCI was considered the main variable for study outcomes, and analyses were performed separately in treatment-naïve and treatment-experienced patients. Results: The study sample comprised 52 treatment-naïve and 279 experienced patients. In the first group, the variables identified as better predictors of NCI were CD4 cell count and age (correct classification [CC]: 79.6%, 3 final nodes). In treatment-experienced patients, the variables most closely related to NCI were years of education, nadir CD4 cell count, central nervous system penetration-effectiveness score, age, employment status, and confounding comorbidities (CC: 82.1%, 7 final nodes). In patients with an undetectable viral load and no comorbidities, we obtained a fairly accurate model in which the main variables were nadir CD4 cell count, current CD4 cell count, time on current treatment, and past highest viral load (CC: 88%, 6 final nodes). Conclusion: Practical classification models to predict NCI in HIV infection can be obtained using demographic and clinical variables. An approach based on CART analyses may facilitate screening for HIV-associated neurocognitive disorders and complement clinical information about risk and protective factors for NCI in HIV-infected patients.