RESUMO
Resumo Inúmeros estudos têm se detido na avaliação da associação entre o excesso de peso pré-gestacional e os ácidos graxos poli-insaturados no leite humano. Todavia, diante da complexidade de fatores de risco potencialmente confundidores, é recomendável a utilização de ferramentas gráficas para identificar possíveis vieses. O objetivo deste artigo é propor um modelo teórico de causalidade utilizando o gráfico acíclico direcionado entre o excesso de peso pré-gestacional e os ácidos graxos poli-insaturados no leite humano. Foi realizada ampla revisão da literatura para identificar as variáveis com relações causais com a exposição e/ou desfecho. A escolha das variáveis para ajuste seguiu o algoritmo gráfico que compreende seis critérios para a seleção de um conjunto mínimo de variáveis potencialmente confundidoras. Condições socioeconômicas, intervalo interpartal, idade materna e padrão de consumo alimentar foram as variáveis ajustadas a fim de se estimar o efeito total do excesso de peso pré-gestacional sobre o conteúdo dos ácidos graxos poli-insaturados no leite humano. O conjunto mínimo de variáveis encontrado pelo presente estudo pode ser utilizado na análise de outros estudos que avaliem essa associação.
Abstract A number of studies have focused on the evaluation of the relationship between pre-pregnancy overweight and polyunsaturated fatty acids content in human milk. However, given the complexity of potentially confounding risk factors, the use of graphical tools is recommended to identify possible biases. This article aims to propose a theoretical model of causality using the directed acyclic graph between pre-pregnancy overweight and polyunsaturated fatty acids content in human milk. Methods: An extensive literature review was performed to identify variables with causal relationships with exposure and/or outcome. The choice of variables for adjustment followed the graphic algorithm that comprises six criteria for selecting a minimum set of potentially confounding variables. Socioeconomic conditions, interpartum interval, maternal age and food consumption pattern were the variables that would have to be adjusted in order to estimate the total effect of pre-pregnancy overweight on polyunsaturated fatty acids content in human milk. The minimum set of variables found in the present study can be used in the analysis of other studies that evaluate this association.
RESUMO
Background: A history of child sexual abuse (CSA) is related to higher suicide rates and poor treatment outcomes in depressed adult patients. Twenty years after the first study investigating the effects of ketamine/esketamine on depression and suicide, there is a lack of data on the CSA effects on this emerging treatment. Here, we assess the impact of CSA on adjunctive subcutaneous (SC) esketamine for treatment-resistant depression (TRD). Methods: A directed acyclic graphic (DAG) was designed to identify clinical confounders between CSA and esketamine predictors of response. The confounders were applied in a statistical model to predict depression symptom trajectory in a sample of 67 TRD outpatients. Results: The patient sample had a relatively high prevalence rate of CSA (35.82%). Positive family history of first-degree relatives with alcohol use disorder and sex were clinical mediators of the effects of esketamine in a CSA adult population. Overall, the presence of at least one CSA event was unrelated to esketamine symptom reduction. Conclusions: Unlike responses to conventional antidepressants and psychotherapy, CSA does not appear to predict poor response to esketamine.
RESUMO
Globally, the proportion of elderly individuals in the population has increased substantially in the last few decades. However, the risk factors that should be managed in advance to ensure a natural process of mental decline due to aging remain unknown. In this study, a dataset consisting of a Brazilian elderly sample was modelled using a Bayesian Network (BN) approach to uncover connections between cognitive performance measures and potential influence factors. Regarding its structure (a Directed Acyclic Graph), it was investigated the probabilistic dependence mechanism between two variables of medical interest: the suspected risk factor known as Metabolic Syndrome (MetS) and the indicator of mental decline referred to as Cognitive Impairment (CI). In this investigation, the concept known in the context of a BN as D-separation has been employed. Results of the conducted study revealed that the dependence between MetS and Cognitive Variables (CI and its direct determinants) in fact exists and depends on both Body Mass Index (BMI) and age.