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Medical Journal of the Islamic Republic... 2022Bipolar disorder type I is a chronic and recurrent disease and is considered as the ninth nonfatal disease. Identifying the symptoms of the manic episode, which are...
Bipolar disorder type I is a chronic and recurrent disease and is considered as the ninth nonfatal disease. Identifying the symptoms of the manic episode, which are more likely detected by patients, increases the ability of psychiatrists in diagnosing this disorder. In this cross-sectional study, a total of 96 patients with bipolar disorder were enrolled from 2 academic psychiatric centers. Then, using the patients' medical records, demographic data were collected. Further, both the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I) interview and the Young mania rating scale (Y-MRS) scale were also performed. Then, about 27 to 33 days after discharge, the patients were contacted by phone and the SCID-I interview was conducted again. Meanwhile, to make the patients focus on the period from which they have recently improved, the phrase "the recent period of hospitalization" was added to the interview questions and the symptoms were checked. At the beginning of the hospitalization, the most common symptom in the total population was irritable mood (89.5%): in the male population decreased need for sleep (98.2%), and in the female population irritable mood (97.5%). In addition, in the evaluation, about 1 month later, irritable mood (69.7%) and decreased need for sleep (67.7%) were the most common symptoms detected by the patients. In terms of the predictive value of each symptom to the diagnosis of that symptom by the psychiatrist, the highest positive predictive value was related to the symptoms of irritable mood (95.5%), decreased need for sleep (95.4%), and talkativeness (95.2%). However, the highest negative predictive value was related to the symptom of elevated mood (87.5%). The patients who have passed manic episodes are more able to detect some symptoms of this episode. Despite some limitations, it seems that using these statistical findings in practice may promote clinical assessment and diagnosis of bipolar disorder type I by psychiatrists.
PubMed: 36128317
DOI: 10.47176/mjiri.36.38 -
Journal of Affective Disorders Mar 2023Bipolar disorder (BD) is associated with impairments in both emotional and non-emotional cognition. Recently, cognitive impairments have attracted increasing research...
BACKGROUND
Bipolar disorder (BD) is associated with impairments in both emotional and non-emotional cognition. Recently, cognitive impairments have attracted increasing research interest as markers of prognosis and possible treatment targets in patients with BD. However, there is a paucity of studies investigating cognitive predictors of prognosis in BD.
METHODS
We assessed 148 recently diagnosed, symptomatically stable patients with BD with a battery of emotional and non-emotional cognitive tests and followed them up over 16 months as part of an ongoing cohort study. Multiple linear regression analyses were conducted to examine the associations between cognitive performance at baseline and the recurrence and duration of (hypo)manic and depressive episodes, respectively, with adjustment for age, sex, subsyndromal symptoms and time between assessments.
RESULTS
Poorer recognition of negative facial expressions and more negative emotions in neutral daily life scenarios were associated with greater frequency (ps ≤ .04) and longer duration (ps ≤ .03) of subsequent (hypo)manic episodes over the 16-month follow-up period. In addition, poorer global cognition, attention and psychomotor speed, and verbal fluency were associated with more (hypo)manic episodes (ps ≤ .04). Finally, more difficulty down-regulating emotion in negative social scenarios was associated with depressive relapse (p = .007). It was a limitation that patients had a delayed diagnosis of seven years from their first mood episode despite being recently diagnosed.
CONCLUSION
Trait-related cognitive impairments influence the early course in recently diagnosed patients with BD, particularly (hypo)manic relapse. Early prophylactic strategies targeting cognitive impairments may increase resilience and the course of illness in recently diagnosed patients with BD.
Topics: Humans; Bipolar Disorder; Follow-Up Studies; Cohort Studies; Mania; Cognition; Recurrence
PubMed: 36565963
DOI: 10.1016/j.jad.2022.12.061 -
Cureus Apr 2016Bipolar disorder is characterized by exacerbations of opposite mood polarity, ranging from manic to major depressive episodes. In the current nosological system of the... (Review)
Review
Bipolar disorder is characterized by exacerbations of opposite mood polarity, ranging from manic to major depressive episodes. In the current nosological system of the Diagnostic and Statistical Manual - 5(th) edition (DSM-5), it is conceptualized as a spectrum disorder consisting of bipolar disorder type I, bipolar disorder type II, cyclothymic disorder, and bipolar disorder not otherwise specified. Treatment of all phases of this disorder is primarily with mood stabilizers, but many patients either show resistance to the conventional mood stabilizing medications or are intolerant to their side-effects. In this setting, second-generation antipsychotics have gained prominence as many bipolar subjects who are otherwise treatment refractory show response to these agents. Aripiprazole is a novel antipsychotic initially approved for the treatment of schizophrenia but soon found to be effective in bipolar disorder. This drug is well studied, as randomized controlled trials have been conducted in various phases of bipolar disorders. Aripiprazole exhibits the pharmacodynamic properties of partial agonism, functional selectivity, and serotonin-dopamine activity modulation - the new exemplars in the treatment of major psychiatric disorders. It is the first among a new series of psychotropic medications, which now also include brexpiprazole and cariprazine. The current review summarizes the data from controlled trials regarding the efficacy and safety of aripiprazole in adult bipolar patients. On the basis of this evidence, aripiprazole is found to be efficacious in the treatment and prophylaxis of manic and mixed episodes but has no effectiveness in acute and recurrent bipolar depression.
PubMed: 27190727
DOI: 10.7759/cureus.562 -
Brain Sciences Jan 2021Several inflammatory hypotheses have been suggested to explain the etiopathogenesis of bipolar disorder (BD) and its different phases. Neutrophil-to-lymphocyte (NLR),...
BACKGROUND
Several inflammatory hypotheses have been suggested to explain the etiopathogenesis of bipolar disorder (BD) and its different phases. Neutrophil-to-lymphocyte (NLR), platelet-to-lymphocyte (PLR), and monocyte-to-lymphocyte (MLR) ratios have been proposed as potential peripheral biomarkers of mood episodes.
METHODS
We recruited 294 patients affected by BD, of which 143 were experiencing a (hypo)manic episode and 151 were in a depressive phase. A blood sample was drawn to perform a complete blood count. NLR, PLR, and MLR were subsequently calculated. A -test was performed to evaluate differences in blood cell counts between depressed and (hypo)manic patients and a regression model was then computed.
RESULTS
Mean values of neutrophils, platelets, mean platelet volume, NLR, PLR, and MLR were significantly higher in (hypo)manic than depressed individuals. Logistic regression showed that PLR may represent an independent predictor of (hypo)mania.
CONCLUSIONS
Altered inflammatory indexes, particularly PLR, may explain the onset and recurrence of (hypo)manic episodes in patients with BD. As inflammatory ratios represent economical and accessible markers of inflammation, further studies should be implemented to better elucidate their role as peripheral biomarkers of BD mood episodes.
PubMed: 33418881
DOI: 10.3390/brainsci11010058 -
PloS One 2021Bipolar disorder is a mental illness in which manic and depressive states are repeated, causing psychosocial dysfunction. Manic/hypomanic episodes cause problems with... (Observational Study)
Observational Study
BACKGROUND
Bipolar disorder is a mental illness in which manic and depressive states are repeated, causing psychosocial dysfunction. Manic/hypomanic episodes cause problems with interpersonal, social and financial activities, but there is limited evidence regarding the predictors of manic/hypomanic episodes in real-world clinical practice.
METHODS
The multicenter treatment survey on bipolar disorder (MUSUBI) in Japanese psychiatric clinics was administered in an observational study that was conducted to accumulate evidence regarding bipolar disorder in real-world clinical practice. Psychiatrists were asked to complete a questionnaire about patients with bipolar disorder who visited 176 member clinics of the Japanese Association of Neuro-Psychiatric Clinics by conducting a retrospective medical record survey. Our study extracted baseline patient characteristics from September to October 2016, including comorbidities, mental status, duration of treatment, Global Assessment of Functioning (GAF) score, and pharmacological treatment details. We investigated the presence or absence of manic/hypomanic episodes over the course of one year from baseline to September-October 2017.
RESULTS
In total, 2231 participants were included in our study, 29.1% of whom had manic/hypomanic episodes over the course of one year from baseline. Binomial logistic regression analysis revealed that the presence of manic/hypomanic episodes was correlated with lower baseline GAF scores, rapid cycling, personality disorder, bipolar I disorder, and a mood state with manic or mixed features. Substance abuse was also a risk factor for manic episodes. There was no significant association between a baseline antidepressant prescription and manic/hypomanic episodes.
CONCLUSIONS
In Japan, 29.1% of outpatients with bipolar disorder had manic/hypomanic episodes over the course of one year. Our study suggested that a low GAF score, rapid cycling, personality disorder, bipolar I disorder, substance abuse, and baseline mood state could be predictors of manic/hypomanic episodes. Based on our findings, an antidepressant prescription is not a predictor of manic/hypomanic episodes.
Topics: Adolescent; Adult; Affect; Age Factors; Aged; Aged, 80 and over; Antidepressive Agents; Bipolar Disorder; Body Mass Index; Comorbidity; Female; Health Status Indicators; Humans; Japan; Male; Mania; Middle Aged; Outpatients; Personality Disorders; Prevalence; Retrospective Studies; Risk; Substance-Related Disorders; Surveys and Questionnaires; Treatment Outcome; Young Adult
PubMed: 34972188
DOI: 10.1371/journal.pone.0262129 -
Juntendo Iji Zasshi = Juntendo Medical... 2022Bipolar disorder is a mental disorder that involves a manic or hypomanic state and a depressive state, and was once called manic-depressive disorder and was considered... (Review)
Review
Bipolar disorder is a mental disorder that involves a manic or hypomanic state and a depressive state, and was once called manic-depressive disorder and was considered one of the two major mental disorders along with schizophrenia. Major depressive disorder, on the other hand, is a disorder in which only depressive states occur, and the two are sometimes referred to together as "mood disorders. This review will introduce the pathophysiology, diagnosis, epidemiology, and treatment of bipolar disorder, focusing on the current situation in Japan.
PubMed: 38911011
DOI: 10.14789/jmj.JMJ21-0026-R -
JMIR MHealth and UHealth May 2023Depressive and manic episodes within bipolar disorder (BD) and major depressive disorder (MDD) involve altered mood, sleep, and activity, alongside physiological... (Observational Study)
Observational Study
BACKGROUND
Depressive and manic episodes within bipolar disorder (BD) and major depressive disorder (MDD) involve altered mood, sleep, and activity, alongside physiological alterations wearables can capture.
OBJECTIVE
Firstly, we explored whether physiological wearable data could predict (aim 1) the severity of an acute affective episode at the intra-individual level and (aim 2) the polarity of an acute affective episode and euthymia among different individuals. Secondarily, we explored which physiological data were related to prior predictions, generalization across patients, and associations between affective symptoms and physiological data.
METHODS
We conducted a prospective exploratory observational study including patients with BD and MDD on acute affective episodes (manic, depressed, and mixed) whose physiological data were recorded using a research-grade wearable (Empatica E4) across 3 consecutive time points (acute, response, and remission of episode). Euthymic patients and healthy controls were recorded during a single session (approximately 48 h). Manic and depressive symptoms were assessed using standardized psychometric scales. Physiological wearable data included the following channels: acceleration (ACC), skin temperature, blood volume pulse, heart rate (HR), and electrodermal activity (EDA). Invalid physiological data were removed using a rule-based filter, and channels were time aligned at 1-second time units and segmented at window lengths of 32 seconds, as best-performing parameters. We developed deep learning predictive models, assessed the channels' individual contribution using permutation feature importance analysis, and computed physiological data to psychometric scales' items normalized mutual information (NMI). We present a novel, fully automated method for the preprocessing and analysis of physiological data from a research-grade wearable device, including a viable supervised learning pipeline for time-series analyses.
RESULTS
Overall, 35 sessions (1512 hours) from 12 patients (manic, depressed, mixed, and euthymic) and 7 healthy controls (mean age 39.7, SD 12.6 years; 6/19, 32% female) were analyzed. The severity of mood episodes was predicted with moderate (62%-85%) accuracies (aim 1), and their polarity with moderate (70%) accuracy (aim 2). The most relevant features for the former tasks were ACC, EDA, and HR. There was a fair agreement in feature importance across classification tasks (Kendall W=0.383). Generalization of the former models on unseen patients was of overall low accuracy, except for the intra-individual models. ACC was associated with "increased motor activity" (NMI>0.55), "insomnia" (NMI=0.6), and "motor inhibition" (NMI=0.75). EDA was associated with "aggressive behavior" (NMI=1.0) and "psychic anxiety" (NMI=0.52).
CONCLUSIONS
Physiological data from wearables show potential to identify mood episodes and specific symptoms of mania and depression quantitatively, both in BD and MDD. Motor activity and stress-related physiological data (EDA and HR) stand out as potential digital biomarkers for predicting mania and depression, respectively. These findings represent a promising pathway toward personalized psychiatry, in which physiological wearable data could allow the early identification and intervention of mood episodes.
Topics: Humans; Female; Adult; Male; Depressive Disorder, Major; Prospective Studies; Mania; Bipolar Disorder; Biomarkers
PubMed: 36939345
DOI: 10.2196/45405 -
Neuropsychopharmacology : Official... Mar 2023Disruptions in the limbic system, and in emotion regulation circuitry that supports affect modulation, have been reported during acute manic episodes of bipolar disorder... (Randomized Controlled Trial)
Randomized Controlled Trial
Effects of short-term quetiapine and lithium therapy for acute manic or mixed episodes on the limbic system and emotion regulation circuitry in youth with bipolar disorder.
Disruptions in the limbic system, and in emotion regulation circuitry that supports affect modulation, have been reported during acute manic episodes of bipolar disorder (BD). The impact of pharmacological treatment on these deficits, especially in youth, remains poorly characterized. 107 youths with acute manic or mixed episodes of bipolar I disorder and 60 group-matched healthy controls were recruited. Youth with bipolar disorder were randomized to double-blind treatment with quetiapine or lithium and assessed weekly. Task-based fMRI studies were performed using an identical pairs continuous performance task (CPT-IP) at pre-treatment baseline and post-treatment weeks one and six. Region of interest analyses focused on the limbic system and ventral PFC - basal ganglia - thalamocortical loop structures known to be involved in emotion regulation. Changes in regional activation were compared between the two treatment groups, and pretreatment regional activation was used to predict treatment outcome. Mania treatment scores improved more rapidly in the quetiapine than lithium treated group, as did significant normalization of neural activation toward that of healthy individuals in left amygdala (p = 0.007), right putamen (p < 0.001), and right globus pallidus (p = 0.003). Activation changes in the right putamen were correlated with reduction of mania symptoms. The limbic and emotion regulation system activation at baseline and week one predicted treatment outcome in youth with bipolar disorder with significant accuracy (up to 87.5%). Our findings document more rapid functional brain changes associated with quetiapine than lithium treatment in youth with bipolar disorder, with most notable changes in the limbic system and emotion regulation circuitry. Pretreatment alterations in these regions predicted treatment response. These findings advance understanding of regional brain alterations in youth with bipolar disorder, and show that fMRI data can predict treatment outcome before it can be determined clinically, highlighting the potential utility of fMRI biomarkers for early prediction of treatment outcomes in bipolar disorder.Clinical Trials Registration: Name: Multimodal Neuroimaging of Treatment Effects in Adolescent Mania. URL: https://clinicaltrials.gov/ . Registration number: NCT00893581.
Topics: Adolescent; Humans; Amygdala; Antipsychotic Agents; Bipolar Disorder; Emotional Regulation; Lithium; Lithium Compounds; Magnetic Resonance Imaging; Mania; Quetiapine Fumarate; Double-Blind Method
PubMed: 36229596
DOI: 10.1038/s41386-022-01463-6 -
JAMA Network Open Sep 2023Predicting the onset of bipolar disorder (BD) could facilitate preventive treatments. Among risk measures, bipolar at-risk (BAR) criteria have shown promise in...
IMPORTANCE
Predicting the onset of bipolar disorder (BD) could facilitate preventive treatments. Among risk measures, bipolar at-risk (BAR) criteria have shown promise in predicting onset of bipolar disorder in the first year in clinical cohorts; however, it is not known whether BAR criteria are associated with the onset of BD in the longer term.
OBJECTIVE
To assess the association of BAR criteria with onset of BD over 10 to 13 years follow-up.
DESIGN, SETTING, AND PARTICIPANTS
This prospective cohort study, completed between May 1, 2020, and November 7, 2022, included consenting people seeking help for nonpsychotic major mental health difficulties, including mood, personality, and substance use disorders, who were originally recruited at ages 15 to 25 years from a tertiary youth mental health setting in metropolitan Melbourne, Victoria, Australia, from May 1, 2008, to September 30, 2010.
EXPOSURE
Meeting BAR criteria at baseline. Criteria included subthreshold mania, cyclothymic features, subthreshold depression, and family history of BD. A matched clinical comparison group was recruited from the same help-seeking population.
MAIN OUTCOMES AND MEASURES
The primary outcome was expert consensus diagnosis of BD I or II based on the Mini International Neuropsychiatric Interview, self-reported information collected through online assessments, and linked data on mental health service utilization in Victoria over 10 to 13 years of follow-up.
RESULTS
Among 69 eligible participants, follow-up data were available for 60 (88.2%). The mean (SD) age at the end of follow-up was 32.9 (2.8) years, and 49 (81.7%) were women. A total of 28 participants met BAR criteria, and 32 were in the comparison group. In the BAR group, 8 patients (28.6%) developed BD over a mean (SD) of 11.1 (0.7) years of follow-up, and no patients in the comparison group developed BD. The risk of developing BD was higher in the BAR group than in the non-BAR group (χ21 = 70.0; P < .001). The proportions of transitions to BD were equal in the first and second halves of the follow-up period.
CONCLUSIONS AND RELEVANCE
In this cohort study of participants seeking care for mental health difficulties, patients meeting the BAR criteria were significantly more likely to transition to BD over a decade after ascertainment compared with patients not meeting the BAR criteria. The findings suggest that those meeting BAR criteria may benefit from longer-term monitoring and support. Evaluation of predictive properties in longer-term studies using a risk measure will help with implementation of BAR criteria in clinical settings.
Topics: Adolescent; Humans; Female; Male; Bipolar Disorder; Cohort Studies; Prospective Studies; Mania; Victoria
PubMed: 37713195
DOI: 10.1001/jamanetworkopen.2023.34078 -
Suicide & Life-threatening Behavior Oct 2019To evaluate the effects of mood and anxiety symptoms in relation to personality dimensions and clinical features such as trauma and substance use on suicidal behaviors...
OBJECTIVE
To evaluate the effects of mood and anxiety symptoms in relation to personality dimensions and clinical features such as trauma and substance use on suicidal behaviors in a longitudinal sample of individuals with bipolar illness (BP) and healthy controls (HC).
METHODS
Mood, personality, and clinical features were assessed in 151 individuals with BP I and 119 HC. Clinical data were collected at baseline and at 2-year follow-up. Personality traits were measured using the NEO PI-R.
RESULTS
In bivariate analyses, personality measures were significantly different between BP and HC, and between BP based on suicide attempt history. However, in regression analyses, baseline measures of depression, mania, anxiety, trauma, education, and age of BP onset correlated with personality domains, while a history of suicide attempts did not. Logistic regressions showed that prospective depression or mania, and a pattern of mixed mood features and chronicity of illness, along with two Neuroticism facet scores (N4-Self-Consciousness and N6-Vulnerability) were predictive of suicide ideation (SI) in the 2-year follow-up period.
CONCLUSIONS
While dimensions of personality, trauma, and substance use clearly correlated with suicidal behaviors in BP, in multivariate models emerging mood symptoms were the most robust predictors of suicidality. These results reinforce the importance and attributable role of mood and anxiety symptoms in evaluating suicidal risk.
Topics: Adult; Affect; Age of Onset; Anxiety; Bipolar Disorder; Depression; Female; Humans; Longitudinal Studies; Male; Personality Assessment; Psychological Trauma; Risk Assessment; Risk Factors; Substance-Related Disorders; Suicidal Ideation; Suicide; Suicide Prevention
PubMed: 30450613
DOI: 10.1111/sltb.12529