Comparison of different nonlinear functions to describe Nelore cattle growth

This work aims to compare different nonlinear functions for describing the growth curves of Nelore females. The growth curve parameters, their (co) variance components, and environmental and genetic effects were estimated jointly through a Bayesian hierarchical model. In the first stage of the hierarchy, 4 nonlinear functions were compared: Brody, Von Bertalanffy, Gompertz, and logistic. The analyses were carried out using 3 different data sets to check goodness of fit while having animals with few records. Three different assumptions about SD of fitting errors were considered: constancy throughout the trajectory, linear increasing until 3 yr of age and constancy thereafter, and variation following the nonlinear function applied in the first stage of the hierarchy. Comparisons of the overall goodness of fit were based on Akaike information criterion, the Bayesian information criterion, and the deviance information criterion. Goodness of fit at different points of the growth curve was compared applying the Gelfand`s check function. The posterior means of adult BW ranged from 531.78 to 586.89 kg. Greater estimates of adult BW were observed when the fitting error variance was considered constant along the trajectory. The models were not suitable to describe the SD of fitting errors at the beginning of the growth curve. All functions provided less accurate predictions at the beginning of growth, and predictions were more accurate after 48 mo of age. The prediction of adult BW using nonlinear functions can be accurate when growth curve parameters and their (co) variance components are estimated jointly. The hierarchical model used in the present study can be applied to the prediction of mature BW in herds in which a portion of the animals are culled before adult age. Gompertz, Von Bertalanffy, and Brody functions were adequate to establish mean growth patterns and to predict the adult BW of Nelore females. The Brody model was more accurate in predicting the birth weight of these animals and presented the best overall goodness of fit.

Use of the frontal assessment battery in evaluating executive dysfunction in patients with Huntington`s disease

The frontal assessment battery (FAB) is a bedside cognitive scale designed to measure executive functions. Huntington`s disease (HD) is a neurodegenerative disorder characterized by motor, behavioral, and cognitive dysfunction. The aim of this study was to check the validity of the FAB for the evaluation of cognitive impairment in patients with HD. Forty-one patients diagnosed with HD and 53 healthy controls matched by education, sex and age were evaluated with a validated Brazilian version of the UHDRS, the VFT, the SDMT, the SIT, the MMSE, and the FAB. The diagnosis of HD was made by DNA analysis. FAB scores were lower in patients than in the controls (p < 0.001) and had significant correlations with the VFT (r = 0.79; p < 0.05), the SDMT (r = 0.80; p < 0.05), the SIT (r = 0.72; p < 0.05), the MMSE (r = 0.83; p < 0.05), the FCS (r = 0.79; p < 0.05) and the motor section of the UHDRS (r = -0.80; p < 0.05). The FAB differentiated between HD patients in the initial and later stages of the disease. The one-year longitudinal evaluation revealed a global trend toward a worsening in the second score of the FAB. The results demonstrate that the FAB presents good internal consistency and also convergent and discriminative validity; therefore it is a useful scale to assess executive functions and to evaluate cognitive impairment in patients with HD.