Insight, psychosis and aggressive behaviour in mania

A novel prediction model for the probability of aggressive behavior in patients with mood disorders: Based on a cohort study

BACKGROUND

Accurately predicting the probability of aggressive behavior is crucial for guiding early intervention in patients with mood disorders.

METHODS

Cox stepwise regression was conducted to identify potential influencing factors. Nomogram prediction models were constructed to predict the probabilities of aggressive behavior in patients with mood disorders, and their performance was assessed using consistency index (C-index) and calibration plots.

RESULTS

Research findings on 321 patients with mood disorders indicated that being older (HR = 0.92, 95% CI: 0.86-0.98), single (HR = 0.11, 95% CI: 0.02-0.68), having children (one child, HR = 0.07, 95%CI: 0.01-0.87; more than one child, HR = 0.33, 95%CI: 0.04-2.48), living in dormitory (HR = 0.25, 95%CI: 0.08-0.77), non-student (employee, HR = 0.24, 95% CI: 0.07-0.88; non-employee, HR = 0.09, 95% CI: 0.02-0.35), and higher scores in subjective support (HR = 0.90, 95% CI: 0.82-0.99) were protective factors. On the contrary, minorities (HR = 5.26, 95% CI: 1.23-22.48), living alone (HR = 4.37, 95% CI: 1.60-11.94), having suicide history (HR = 2.51, 95% CI: 1.06-5.95), and having higher scores in EPQ-E (HR = 1.04, 95% CI: 1.00-1.08) and EPQ-P (HR = 1.03, 95% CI: 1.00-1.07) were identified as independent risk factors for aggressive behavior in patients with mood disorders. The nomogram prediction model demonstrated high discrimination and goodness-of-fit.

CONCLUSIONS

A novel nomogram prediction model for the probability of aggressive behavior in patients with mood disorders was developed, effective in identifying at-risk populations and offering valuable insights for early intervention and proactive measures.

Risk factors for involuntary admission in a Romanian patient sample

BACKGROUND

Involuntary admission is widely used in psychiatry, usually requiring that the patient present an imminent danger to himself or others. Previous studies have established several predictors for involuntary admission, but they have been almost exclusively conducted in Western European or North American countries. By contrast, data on this topic from Eastern European countries is virtually absent. Historically, involuntary admission has been often used as a tool for political repression in Romania before the fall of the communist regime. While there have been significant changes in the legal framework in the last 30 years, there is still no real-world data to build upon.

METHODS

We analyzed a sample of 177 patients admitted to the "Alexandru Obregia" psychiatric hospital in Bucharest between November 2022 and January 2023, of which 49.7% (88) were involuntary hospitalizations. We collected socio-demographic and clinical data by both by direct interview, and by consulting patient records, attending physicians and relatives.

RESULTS

Socio-demographic factors predictive for involuntary admission were unemployment, lower income, and urban living. Of the clinical variables analyzed, diagnosis of psychosis or mania on admission carried increased risk of involuntary hospitalization, as did nonadherence to treatment, higher disease severity and aggression. Hospital presentation by police or ambulance carried significant additional risk compared to self-referral.

CONCLUSION

Certain categories of patients are considerably more likely to be involuntarily hospitalized and there appears to be considerable interrelatedness between the identified risk factors.

Psychomotor agitation and irritability in adolescents with manic episode: Clinical data from three inpatient units

OBJECTIVES

We aimed to investigate the characteristics of adolescents with Bipolar disorder-I with irritability and agitation (Mania+IA) compared to those without irritability and agitation (Mania-IA) in a multi-center representative sample.

METHODS

Data of 145 patients from three tertiary-care inpatient units between 2016 and 2021 were obtained. Psychomotor agitation was defined as a score of ≥3 on the YMRS "Increased Motor Activity--Energy" item, irritability as a score of ≥4 on the YMRS 'irritability' item, and severity anchors of speech and thought disturbance on the YMRS '6 and 7' items.

RESULTS

Previous manic episodes (p = 0.013), involuntary hospitalization (p = 0.006), psychotic features (p = 0.001), formal thought disorder (p = 0.010) and aggressive/disruptive behavior (p = 0.021) were more frequent in the Mania+IA group. Conversely, depressive episodes (p = 0.006) and family history of depression (p = 0.024) were more frequent in the Mania-IA group. The Mania+IA had poorer functioning at the time of discharge.

CONCLUSIONS

Irritability and agitation were closely related to complications, psychotic symptoms and thought disorder. Assessment and monitoring of psychomotor agitation and irritability may help child and adolescent psychiatrists to predict clinical difficulties and appropriate interventions.

Differences of affective and non-affective psychoses in early intervention services from Latin America

BACKGROUND

Psychosis presentation can be affected by genetic and environmental factors. Differentiating between affective and non-affective psychosis (A-FEP and NA-FEP, respectively) may influence treatment decisions and clinical outcomes. The objective of this paper is to examine differences between patients with A-FEP or NA-FEP in a Latin American sample.

METHODS

Patients from two cohorts of patients with a FEP recruited from Brazil and Chile. Subjects included were aged between 15 and 30 years, with an A-FEP or NA-FEP (schizophrenia-spectrum disorders) according to DSM-IV-TR. Sociodemographic data, duration of untreated psychosis and psychotic/mood symptoms were assessed. Generalized estimating equation models were used to assess clinical changes between baseline-follow-up according to diagnosis status.

RESULTS

A total of 265 subjects were included. Most of the subjects were male (70.9 %), mean age was 21.36 years. A-FEP and NA-FEP groups were similar in almost all sociodemographic variables, but A-FEP patients had a higher probability of being female. At baseline, the A-FEP group had more manic symptoms and a steeper reduction in manic symptoms scores during the follow- up. The NA-FEP group had more negative symptoms at baseline and a higher improvement during follow-up. All domains of The Positive and Negative Syndrome Scale improved for both groups. No difference for DUP and depression z-scores at baseline and follow-up.

LIMITATIONS

The sample was recruited at tertiary hospitals, which may bias the sample towards more severe cases.

CONCLUSIONS

This is the largest cohort comparing A-FEP and NA-FEP in Latin America. We found that features in FEP patients could be used to improve diagnosis and support treatment decisions.

Prevalence and correlates of aggressive behavior in psychiatric inpatient populations

Aggressive behavior in patients with psychiatric disorders is attracting increasing research interest. One reason for this is that psychiatric patients are generally considered more likely to be aggressive, which raises a related question of whether diagnoses of psychiatric disorders predict the prevalence of aggressive behavior. Predicting aggression in psychiatric wards is crucial, because aggressive behavior not only endangers the safety of both patients and staff, but it also extends the hospitalization times. Predictions of aggressive behavior also need careful attention to ensure effective treatment planning. This literature review explores the relationship between aggressive behavior and psychiatric disorders and syndromes (dementia, psychoactive substance use, acute psychotic disorder, schizophrenia, bipolar affective disorder, major depressive disorder, obsessive-compulsive disorder, personality disorders and intellectual disability). The prevalence of aggressive behavior and its underlying risk factors, such as sex, age, comorbid psychiatric disorders, socioeconomic status, and history of aggressive behavior are discussed as these are the components that mostly contribute to the increased risk of aggressive behavior. Measurement tools commonly used to predict and detect aggressive behavior and to differentiate between different forms of aggressive behavior in both research and clinical practice are also reviewed. Successful aggression prevention programs can be developed based on the current findings of the correlates of aggressive behavior in psychiatric patients.

A comparative study evaluating insight in different phase of illness among patients with bipolar disorder by using multiple scales

AIM

This cross-sectional study aimed to evaluate insight and its correlates among patients with bipolar disorder (BD).

METHODOLOGY

180 patients with BD were evaluated on Scale to Assess Unawareness of Mental Disorders (SUMD), Insight scale for affective disorders (ISAD), Mood Disorders Insight Scale (MDIS), and Beck Cognitive Insight Scale (BCIS).

RESULTS

About half of the patients were in clinical remission (N = 94; 52.2%), one-fifth (N = 37; 20.55%) were in the phase of mania and one-fourth (N = 49; 27.2%) were in a depression. There was no significant difference in the level of insight between those in clinical remission and those in depression except for one of the domains of BCIS. Patients with mania had poorer insight compared to those in remission and depression. In terms of association of insight as assessed by different scales, in the whole sample and all the three subgroups, SUMD current and past scores had a significant positive correlation with the ISAD total score. In the whole sample, among patients currently in remission and those currently in depression, ISAD total score had significant negative correlation with MDIS total score. Poorer insight as assessed on SUMD (current and past), ISAD and MDIS was associated with poorer medication adherence.

CONCLUSION

The present study demonstrates that patients with mania have poor insight when compared to the patients in clinical remission and depression. The present study also demonstrates that the assessment of clinical insight is not affected much by the type of scale used.

The relationship between insight and affective temperament in bipolar disorder: an exploratory study

INTRODUCTION

In recent years, the association between temperament and clinical characteristics of mood disorders has been studied. Most bipolar patients show deficits in their awareness of signs and symptoms. The relationship between affective temperament and insight in bipolar patients has not been carried out in the literature so far.

OBJECTIVE

To evaluate the relationship between affective temperament and insight in bipolar disorder.

METHOD

A group of 65 bipolar patients were followed during a year. Patients underwent a clinical assessment and were diagnosed using criteria from the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5). Insight was evaluated through the Insight Scale for Affective Disorders (ISAD), and affective temperament, through the TEMPS-Rio de Janeiro. The relationship between affective temperament and insight was explored with Spearman rho correlations between scores on each item of the ISAD and on the TEMPS-Rio de Janeiro subscales.

RESULTS

In euthymic phases, bipolars with depressive temperament were associated with a higher level of insight about the consequences of the disorder; when in mania, patients showed better insight about having an affective disorder, presenting psychomotor alterations, and suffering from guilt or grandiosity. Similarly, bipolar patients with higher scores of anxious temperament, when in mania, had better insight on alterations in attention. Bipolar patients with higher scores of hyperthymic temperament, when in mania, showed the worst insight about thought disorder.

CONCLUSION

In addition to being determined by the phase of the disease and several varying symptoms, the level of insight in bipolar patients is also influenced by affective temperament.

The influence of current mood state, number of previous affective episodes and predominant polarity on insight in bipolar disorder

BACKGROUND

Although many studies have explored the effect of current affective episodes on insight into bipolar disorder, the potential interaction between current mood state and previous affective episodes has not been consistently investigated.

OBJECTIVE

To explore the influence of dominant polarity, number of previous affective episodes and current affective state on insight in bipolar disorder patients in euthymia or mania.

METHODS

A total of 101 patients with bipolar disorder were recruited for the study, including 58 patients in euthymia (30 with no defined predominant polarity and 28 with manic predominant polarity) and 43 in mania (26 with no defined predominant polarity and 17 with manic predominant polarity). Patients underwent a clinical assessment and insight was evaluated through the Insight Scale for Affective Disorders.

RESULTS

Bipolar disorder patients in mania had worse insight than those in euthymia, with no effect of dominant polarity. In addition, positive psychotic symptoms showed a significant effect on insight and its inclusion as a covariate eliminated differences related to mood state. Finally, the number of previous manic or depressive episodes did not correlate with insight level.

CONCLUSIONS

Mania is a predictor of loss of insight into bipolar disorder. However, it is possible that its contribution is linked to the more frequent presence of psychotic symptoms in this state. Dominant polarity and number/type of previous affective episodes have a limited impact on insight.

State of Acute Agitation at Psychiatric Emergencies in Europe: The STAGE Study

Background:

Agitation is an array of syndromes and types of behaviors that are common in patients with psychiatric disorders. In Europe, the estimation of prevalence of agitation has been difficult due to the lack of standard studies or systematic data collection done on this syndrome.

Objective:

An observational, cross-sectional, multicenter study aimed to assess the prevalence of agitation episodes in psychiatric emergencies in different European countries.

Method:

For 1 week, all episodes of acute agitation that were attended to at the psychiatric emergency room (ER) or Acute Inpatient Unit (AIU) in the 27 participating centers were registered. The clinical characteristics and management of the agitation episode were also described. A descriptive analysis was performed.

Results:

A total of 334 agitation episodes out of 7295 psychiatric emergencies were recorded, giving a prevalence rate of 4.6% (95% CI: 4.12-5.08). Of them, 172 [9.4% (95% CI: 8.2-10.9)] were attended at the ER and 162 [2.8% (95% CI: 2.4-3.3)] at AIU. Only data from 165 episodes of agitation (those with a signed informed consent form) was registered and described in this report. The most common psychiatric conditions associated with agitation were schizophrenia, bipolar disorder and personality disorder. The management of agitation included from non-invasive to more coercive measures (mechanical, physical restraint or seclusion) that were unavoidable in more than half of the agitation episodes (59.5%).

Conclusion:

The results show that agitation is a common symptom in the clinical practice, both in emergency and inpatient psychiatric departments. Further studies are warranted to better recognize (using a standardized definition) and characterize agitation episodes.

Insight Across the Different Mood States of Bipolar Disorder

In bipolar disorder, levels of insight vary as a function of the mood state and appear to influence pharmacology compliance, quality of life, the presence of suicidal ideations, and aggressive behavior. To establish a comparison among different mood states in bipolar with regard to level of insight. Forty-eight patients were evaluated in different affective states (i.e., euthymia, mania, depression, and mixed state). Identifying information, sociodemographic data, and clinical records were recorded. The following scales were applied: Hamilton Depression Scale, Young Mania Rating Scale, Positive and Negative Syndrome Scale positive symptoms subscale, and Global Assessment of Functioning and Clinical Global Impressions Scale for use in bipolar disorder. Insight was evaluated using items 11 and 17 of the Young Mania Rating Scale and Hamilton Depression Scale, respectively. Insight in bipolar disorder was found to be more compromised during manic phases and mixed episodes than during periods of depression or euthymia. The factors associated with lower levels of insight were the following: shorter illness duration, older age, and greater severity in mania; the female gender and older age in depression; and shorter illness duration and more severe depressive symptoms in mixed episodes. In the same individual, levels of insight vary as a function of the affective state over the course of bipolar disorder and appear to be influenced by several clinical variables.

O insight no transtorno bipolar: uma revisão sistemática

Objetivos Realizar uma revisão sistemática para compreender que fatores estão relacionados a uma maior ou menor consciência de morbidade no transtorno bipolar (TB), como o insight varia em função do estado afetivo e estabelecer uma comparação com outros transtornos mentais. Métodos Realizou-se uma revisão sistemática da literatura científica sobre o insight em pacientes com TB. Foram buscados estudos clínicos originais sobre o tema nas bases de dados Medline, ISI e SciELO. Os termos de busca empregados foram: “insight” OR “awareness” AND “bipolar” OR “mania” OR “manic”. Resultados Foram selecionados 55 artigos. O insight no TB parece ser mais prejudicado do que na depressão unipolar, porém menos do que na esquizofrenia. Com relação ao TB, um menor nível de insight está relacionado à presença de sintomas psicóticos e de alterações cognitivas. Além disso, um comprometimento do insight está associado a uma menor adesão ao tratamento. Por outro lado, uma maior preservação do insight pode estar associada a maior ideação suicida. Finalmente, a fase maníaca cursa com um nível inferior de insight quando comparada à fase depressiva ou de eutimia. Conclusão No TB, o insight está significativamente prejudicado, especialmente na mania. Diversos fatores clínicos parecem influenciar o nível de insight.