A Bayesian analysis of heart rate variability changes over acute episodes of bipolar disorder.

Bipolar disorder (BD) involves autonomic nervous system dysfunction, detectable through heart rate variability (HRV). HRV is a promising biomarker, but its dynamics during acute mania or depression episodes are poorly understood. Using a Bayesian approach, we developed a probabilistic model of HRV changes in BD, measured by the natural logarithm of the Root Mean Square of Successive RR interval Differences (lnRMSSD).

Deep brain stimulation and digital monitoring for patients with treatment-resistant schizophrenia and bipolar disorder: A case series.

Aim: The use of deep brain stimulation (DBS) has been recently extended for treating resistant psychiatric disorders, but the experience in patients with schizophrenia-related disorders and bipolar disorder (BD) is scarce.

Method: We conducted an observational, one-year longitudinal study to evaluate the effects of DBS in four treatment-resistant patients with schizophrenia, schizoaffective, and BD, included in a pilot, last-resource protocol. Patients were digitally monitored for objective assessment of behavioral changes.

Effects of malnutrition on length of stay in patients hospitalized in an acute psychiatric ward.

Introduction: Psychiatric patients are considered at risk for malnutrition due to pharmacological treatments, lifestyle habits and the mental illness by itself. Even though metabolic risk factors have been related to worse outcomes in certain conditions, the evidence regarding the nutritional status and its impact on the length of stay in psychiatric inpatients is scarce. This study aims to characterize the nutritional status in acute psychiatric patients, to correlate it with the length of stay, and to find specific potential indicators of malnutrition.

Association of polygenic score and the involvement of cholinergic and glutamatergic pathways with lithium treatment response in patients with bipolar disorder.

Lithium is regarded as the first-line treatment for bipolar disorder (BD), a severe and disabling mental health disorder that affects about 1% of the population worldwide. Nevertheless, lithium is not consistently effective, with only 30% of patients showing a favorable response to treatment. To provide personalized treatment options for bipolar patients, it is essential to identify prediction biomarkers such as polygenic scores.

Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approach.

Background: Response to lithium in patients with bipolar disorder is associated with clinical and transdiagnostic genetic factors. The predictive combination of these variables might help clinicians better predict which patients will respond to lithium treatment.

Aims: To use a combination of transdiagnostic genetic and clinical factors to predict lithium response in patients with bipolar disorder.

Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patients.

Lithium is the gold standard therapy for Bipolar Disorder (BD) but its effectiveness differs widely between individuals. The molecular mechanisms underlying treatment response heterogeneity are not well understood, and personalized treatment in BD remains elusive. Genetic analyses of the lithium treatment response phenotype may generate novel molecular insights into lithium's therapeutic mechanisms and lead to testable hypotheses to improve BD management and outcomes.

Identifying neurocognitive heterogeneity in Older Adults with Bipolar Disorder: a cluster analysis.

Background: Cognitive profiles of BD patients show a demonstrated heterogeneity among young and middle-aged patients, but this issue has not yet deeply explored in Older Adults with bipolar disorder (OABD). The aim of the present study was to analyze cognitive variability in a sample of OABD.

Methods: A total of 138 OABD patients and 73 healthy controls were included in this study.

Evaluating maintenance electroconvulsive therapy in Bipolar Disorders: 3-year mirror-image study.

Backgorund: Maintenance electroconvulsive therapy (mECT) is underused in the treatment of bipolar disorder (BD). We aimed to study the real-life effectiveness of mECT in BD.

Methods: Naturalistic 3-year mirror-image study in individuals diagnosed with BD who underwent mECT at a tertiary hospital.

HLA-DRB1 and HLA-DQB1 genetic diversity modulates response to lithium in bipolar affective disorders.

Bipolar affective disorder (BD) is a severe psychiatric illness, for which lithium (Li) is the gold standard for acute and maintenance therapies. The therapeutic response to Li in BD is heterogeneous and reliable biomarkers allowing patients stratification are still needed. A GWAS performed by the International Consortium on Lithium Genetics (ConLiGen) has recently identified genetic markers associated with treatment responses to Li in the human leukocyte antigens (HLA) region.

Genetic differences between bipolar disorder subtypes: A systematic review focused in bipolar disorder type II.

Background: The identification of bipolar disorder (BD) type II patients has both treatment and prognostic implications. Better understanding of its underlying genetics may yield useful diagnostic tools.

Methods: A systematic review on BDII genetics was done using articles published in 2009-2019, following PRISMA recommendations.

Association of polygenic score for major depression with response to lithium in patients with bipolar disorder.

Lithium is a first-line medication for bipolar disorder (BD), but only one in three patients respond optimally to the drug. Since evidence shows a strong clinical and genetic overlap between depression and bipolar disorder, we investigated whether a polygenic susceptibility to major depression is associated with response to lithium treatment in patients with BD. Weighted polygenic scores (PGSs) were computed for major depression (MD) at different GWAS p value thresholds using genetic data obtained from 2586 bipolar patients who received lithium treatment and took part in the Consortium on Lithium Genetics (ConLiGen) study.

Management of asenapine treatment in clinical practice: Recommendations from a panel of experts.

Introduction: The choice of an antipsychotic should be based on bipolar disorder (BD) symptoms and the particular needs of each patient, as well as the adverse events potentially associated with treatment. Asenapine is an atypical antipsychotic indicated for the management of type-I BD, with distinct pharmacokinetic and receptor affinity profiles.

Material And Methods: Recommendations document developed by a panel of experts with extensive experience in the use of asenapine in psychiatric care, including emergency department, hospital, and outpatient care.

Investigating polygenic burden in age at disease onset in bipolar disorder: Findings from an international multicentric study.

Objectives: Bipolar disorder (BD) with early disease onset is associated with an unfavorable clinical outcome and constitutes a clinically and biologically homogenous subgroup within the heterogeneous BD spectrum. Previous studies have found an accumulation of early age at onset (AAO) in BD families and have therefore hypothesized that there is a larger genetic contribution to the early-onset cases than to late onset BD. To investigate the genetic background of this subphenotype, we evaluated whether an increased polygenic burden of BD- and schizophrenia (SCZ)-associated risk variants is associated with an earlier AAO in BD patients.

Analysis of the Influence of microRNAs in Lithium Response in Bipolar Disorder.

Bipolar disorder (BD) is a common, highly heritable neuropsychiatric disease characterized by recurrent episodes of mania and depression. Lithium is the best-established long-term treatment for BD, even though individual response is highly variable. Evidence suggests that some of this variability has a genetic basis.

Association of Polygenic Score for Schizophrenia and HLA Antigen and Inflammation Genes With Response to Lithium in Bipolar Affective Disorder: A Genome-Wide Association Study.

Importance: Lithium is a first-line mood stabilizer for the treatment of bipolar affective disorder (BPAD). However, the efficacy of lithium varies widely, with a nonresponse rate of up to 30%. Biological response markers are lacking.

Mood stabilizers and antipsychotics during breastfeeding: Focus on bipolar disorder.

Breast milk is considered the best source of nutrients and provides much better protection than immune modified milk. However, the postpartum period is a phase of increased risk for all women to experience psychiatric symptoms and recurrences or new episodes of bipolar disorder (BD), especially in those who have discontinued treatment. This is a systematic review of the risks and benefits of mood stabilizers and antipsychotics during breastfeeding as they relate to the health and well-being of mothers and their infants.

Psychometric properties of the Spanish version of the Changes in Sexual Functioning Questionnaire Short-Form (CSFQ-14) in patients with severe mental disorders.

Introduction: Sexual dysfunction in patients with severe mental disorders is often underestimated or overlooked by psychiatrists. A brief and valid self-report instrument for assessing sexual functioning may well contribute to changing this situation.

Aims: To validate the Short Form of the Changes in Sexual Functioning Questionnaire (CSFQ-14) in Spanish patients with severe mental disorders.