95 resultados para positive predictive value


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Methods of semen cryopreservation allow changes in spermatic cells, such as damage in plasma and acrossomal membrane and modifications in mitochondrial function due to a disorder in the lipidic bilayer. For effective oocyte fertilization, spermatozoa require functional competent membranes, and intact organelles, acrosome and DNA. However, most laboratory methods used to evaluate semen quality are not highly correlated with fertilizing capacity. The discovery of a variety of fluorochromes and compounds conjugated to fluorescent probes has enabled an accurate assessment of the viability, integrity and function of spermatozoa. Among the most used probes that label the various compartments of the sperm cell there are the membrane impermeable fluorescent dyes to test the membrane integrity, as well as acylated dyes that pass the intact membrane. For the acrossomal integrity the most commonly used method is lectins labeled by a fluorescent probe. The acrosome reaction and spermatic capacitation is detected by the evaluation of membrane architecture and disorder of lipids in plasma membrane. Mitochondrial function can be determined using markers for their aerobic activity. The DNA status of spermatozoa has been determined using the metachromatic properties of Acridine Orange, and the DNA fragmentation can also be assessed by TUNEL assay. Finally, DNA condensation is analyzed using a single cell DNA gel electrophoresis assay that indicates DNA compactation. This monograph aims to compile the various tests used to detect damaged spermatozoa under cryopreservation methods, searching for improve the predictive value of semen analysis with the intention of a successful conception

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Pós-graduação em Medicina Veterinária - FCAV

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Pós-graduação em Psicologia do Desenvolvimento e Aprendizagem - FC

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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The prevalence of anxiety and depression disorders in undergraduate students is high and several variables can be influential. The aim is to verify the predictive value of social skills, sociodemographic variables, and course characteristics for depression and anxiety. A total of 1282 students of a public university, of both sexes and from different years and courses, participated in this study. Screening instruments for depression and anxiety were applied, as well as an instrument investigating social skills and a questionnaire covering socio demographic indicators and course characteristics. The data were analyzed using univariate analysis followed by multiple binary regression analysis in order to define the relevance of these depression and anxiety measures. The rates of anxiety and depression were 19.4% and 3.8%, respectively. The social skills and living situation were predictive of depression, with the social skills and course area (with higher prevalence for the exact and human sciences) remaining in the final model for anxiety. Such data have implications for psychological prevention and intervention with this population.