Psychiatric disorders in post-traumatic brain injury patients: A scoping review.

Background: Traumatic Brain Injury (TBI) is an important antecedent in the evaluation of patients with psychiatric disorders. The association between TBI and the subsequent appearance of psychiatric disorders has been documented, however, the findings found in the literature are diverse and controversial. Objective: To identify the most prevalent psychiatric disorders after head trauma. Design: An exploratory review (SCOPING) was carried out using the PRISMA extension protocol. Articles published between the years 2010-2022 were used to identify and describe the most prevalent psychiatric disorders after a TBI. Psychiatric disorders were classified according to clinical characteristics in neurotic syndromes, psychotic syndromes, cognitive disorders, among others. Results: A total of 32 articles were included. In the framework of neurotic syndromes, depression is the most prevalent psychiatric alteration after a TBI, becoming a sequel that shows a higher incidence in the first year after the traumatic event. The findings found in relation to post-traumatic stress disorder are controversial, showing great variability regarding the degree of severity of the injury. The prevalence of psychotic syndromes is relatively low because it is difficult to determine if the psychosis is a direct consequence of a TBI. In the cognitive sphere, it was found that people with TBI presented alterations in cognitive functions. Conclusions: The findings found in the review respond to the hypothesis initially raised, which assumes that head trauma is an important etiological factor in the appearance of psychiatric disorders.

Depressive symptomatology in adults during the COVID-19 pandemic.

Depression entails changes in the mental health of individuals worldwide. Episodes of depression lead to mood swings and changes in the motivational dimension. Our research focused on the prevalence of depression in the adult population and on how it affected the social and affective dimensions. Owing to the current pandemic, we deemed it necessary to explore how protective measures against COVID-19 infection, such as quarantines, could be related to mental health. Moreover, we found it important to determine the prevalence of depressive and anxious symptomatology in adults from the Valle del Cauca region in Colombia during the social isolation connected to COVID-19. Our study was descriptive, analytical and cross-sectional, and involved 1248 subjects. As tools, we used the Hamilton Depression Rating Scale and the Hamilton Anxiety Rating Scale. The data demonstrated that women were more likely to display symptoms of depression and that individuals aged between 24 and 29 were less likely to reveal symptoms of anxiety than those aged between 18 and 23. Moreover, childless or economically dependent individuals proved to be more likely to display symptoms of depression during the pandemic.

Noninvasive Prototype for Type 2 Diabetes Detection.

The present work demonstrates the design and implementation of a human-safe, portable, noninvasive device capable of predicting type 2 diabetes, using electrical bioimpedance and biometric features to train an artificial learning machine using an active learning algorithm based on population selection. In addition, there is an API with a graphical interface that allows the prediction and storage of data when the characteristics of the person are sent. The results obtained show an accuracy higher than 90% with statistical significance (p < 0.05). The Kappa coefficient values were higher than 0.9, showing that the device has a good predictive capacity which would allow the screening process of type 2 diabetes. This development contributes to preventive medicine and makes it possible to determine at a low cost, comfortably, without medical preparation, and in less than 2 minutes whether a person has type 2 diabetes.