Exploring machine learning to predict depressive relapses of bipolar disorder patients.

Background: Bipolar disorder (BD) is a chronic mood disorder characterized by recurrent episodes of mania or hypomania and depression, expressed by changes in energy levels and behavior. However, most of relapse studies use evidence-based approaches with statistical methods. With the advance of the precision medicine this study aims to use machine learning (ML) approaches as a possible predictor in depressive relapses in BD.

Predominant polarity classification and associated clinical variables in bipolar disorder: A machine learning approach.

Background: Bipolar disorder (BD) is a severe psychiatric disorder characterized by periodic episodes of manic and depressive symptomatology. Predominant polarity (PP) appears to be an important specifier of BD. The present study employed machine learning (ML) algorithms to accurately determine a patient´s PP without the inclusion of number and polarity of past episodes, while exploring associations between PP and demographic and clinical variables.

A randomized, double-blind, placebo-controlled, proof-of-concept trial of creatine monohydrate as adjunctive treatment for bipolar depression.

Depressive episodes are a major cause of morbidity and dysfunction in individuals suffering from bipolar disorder. Currently available treatments for this condition have limited efficacy and new therapeutic options are needed. Extensive research in the pathophysiology of bipolar disorder points to the existence of mitochondrial and bioenergetic dysfunction.

Cognitive effects of creatine monohydrate adjunctive therapy in patients with bipolar depression: Results from a randomized, double-blind, placebo-controlled trial.

Background: Depressive episodes and cognitive impairment are major causes of morbidity and dysfunction in individuals suffering from bipolar disorder (BD). Novel treatment approaches that target clinical and cognitive aspects of bipolar depression are needed, and research on pathophysiology suggests that mitochondrial modulators such as the nutraceutical creatine monohydrate might have a therapeutic role for this condition.

Methods: Eighteen (N=18) patients with bipolar depression according to DSM-IV criteria who were enrollled in a 6-week, randomized, double-blind, placebo-controlled trial of creatine monohydrate 6g daily as adjunctive therapy were submitted to neuropsychological assessments (Wisconsin Card Sorting Test, Digit Span subtest of the Wechsler Adult Intelligence Scale-Third Edition, Stroop Color-Word Test, Rey-Osterrieth complex figure test, FAS Verbal Fluency Test) at baseline and week 6.

A Multi-Relational Model for Depression Relapse in Patients with Bipolar Disorder.

Bipolar Disorder (BD) is a chronic and disabling disease that usually appears around 20 to 30 years old. Patients who suffer with BD may struggle for years to achieve a correct diagnosis, and only 50% of them generally receive adequate treatment. In this work we apply a machine learning technique called Inductive Logic Programming (ILP) in order to model relapse and no-relapse patients in a first attempt in this area to improve diagnosis and optimize psychiatrists' time spent with patients.

Leprosy and pregnancy in the State of Pará: an epidemiological perspective.

Introduction: A few older publications describe leprosy associated with pregnancy, a situation that has been linked to leprosy exacerbation. This study aimed to describe the detection rate of this association in the State of Pará by county and Integration Region (IR) from 2007 to 2009 via an analysis of socio demographic, epidemiological and operational indices.

Methods: This was a descriptive study using information generated by the SINAN.

Analysis of the detection coefficient for the association between leprosy and pregnancy in the integration region of Carajás, State of Pará, Brazil.

Introduction: The association between leprosy and pregnancy is currently poorly understood and has been linked to serious clinical consequences.

Methods: A retrospective study between 2007 and 2009 was performed in the integration region of Carajás, Brazil on a population of pregnant lepers, with non-lepers of ages 12-49 years serving as the reference population.

Results: Twenty-nine pregnant lepers were studied during the study period.

A comparison of the symptomatic profile between two consecutive depressive episodes in patients with bipolar disorder type I.

Unlabelled: de Macedo-Soares MB, Brietzke E, da Silva Dias R, Mendonca T, Moreira C, Lafer B. A comparison of the symptomatic profile between two consecutive depressive episodes in patients with bipolar disorder type I.

Objective: To compare the variability of patterns of depressive symptoms between two consecutive depressive episodes in patients with bipolar disorder type I.

Obesity and metabolic syndrome in Brazilian patients with bipolar disorder.

Objective: We aimed to determine the prevalence of obesity and metabolic syndrome (O/MetS) in a sample of Brazilian outpatients with bipolar disorder.

Methods: Eighty-four patients with bipolar disorder were evaluated. We used the definition of MetS established in the Third Report of the National Cholesterol Education Program Expert Panel on Detection, Evaluation and Treatment of High Blood Cholesterol in Adults, modified by the American Heart Association (AHA).