Duration of untreated illness and suicide in bipolar disorder: a naturalistic study

Bipolar disorder staging and the impact it has on its management: an update

INTRODUCTION

The longitudinal course of bipolar disorder (BD) is associated with an active process of neuroprogression, characterized by structural brain alterations and progressive functional impairment. In the last decades, a growing need of a standardized staging model for BD arose, with the aim of a more appropriate definition of stage-specific clinical manifestations and the identification of more customized therapeutic tools.

AREAS COVERED

The authors review the literature on clinical aspects, neurobiological correlates and treatment issues related to BD progression. Thereafter, they address the definition, constructs, and evolution of the staging concept, focusing on the clinical applications of BD staging models available in literature.

EXPERT OPINION

Although several staging models for BD have been proposed to date, their application in clinical practice is still relatively scant. This may have a detrimental impact on the clinical and therapeutic management of BD, in terms of early and proper diagnosis as well as tailored treatment interventions according to the different stages of illness. Future research efforts should tend to the integration of recent insights on neuroimaging and epigenetic markers, toward a standardized and multidimensional staging model.

Machine-based learning of multidimensional data in bipolar disorder - pilot results

INTRODUCTION

Owing to the heterogenic picture of bipolar disorder, it takes approximately 8.8 years to reach a correct diagnosis. Early recognition and early intervention might not only increase quality of life, but also increase life expectancy as a whole in individuals with bipolar disorder. Therefore, we hypothesize that implementing machine learning techniques can be used to support the diagnostic process of bipolar disorder and minimize misdiagnosis rates.

MATERIALS AND METHODS

To test this hypothesis, a de-identified data set of only demographic information and the results of cognitive tests of 196 patients with bipolar disorder and 145 healthy controls was used to train and compare five different machine learning algorithms.

RESULTS

The best performing algorithm was logistic regression, with a macro-average F1-score of 0.69 [95% CI 0.66-0.73]. After further optimization, a model with an improved macro-average F1-score of 0.75, a micro-average F1-score of 0.77, and an AUROC of 0.84 was built. Furthermore, the individual amount of contribution per variable on the classification was assessed, which revealed that body mass index, results of the Stroop test, and the d2-R test alone allow for a classification of bipolar disorder with equal performance.

CONCLUSION

Using these data for clinical application results in an acceptable performance, but has not yet reached a state where it can sufficiently augment a diagnosis made by an experienced clinician. Therefore, further research should focus on identifying variables with the highest amount of contribution to a model's classification.

Prior psychiatric morbidity and differential psychopharmacological treatment patterns: Exploring the heterogeneity of bipolar disorder in a nationwide study of 9594 patients

OBJECTIVES

Individuals with bipolar disorders (BD) have heterogenic pre-onset illness courses and responses to treatment. The pattern of illness preceding the diagnosis of BD may be a marker of future treatment response. Here, we examined associations between psychiatric morbidity preceding the diagnosis of BD and pharmacological treatment patterns in the 2 years following diagnosis.

METHODS

In this register-based study, we included all patients with a diagnosis of BD attending Danish Psychiatric Services between January 1, 2012 and December 31, 2016. We examined the association between a diagnosis of substance use disorder, psychosis (other than schizophrenia or schizoaffective disorder), unipolar depression, anxiety/OCD, PTSD, personality disorder, or ADHD preceding BD and pharmacological treatment patterns following the diagnosis of BD (lithium, valproate, lamotrigine, antidepressants, olanzapine, risperidone, and quetiapine) via multivariable Cox proportional hazards regression adjusted for age, sex, and year of BD diagnosis.

RESULTS

We included 9594 patients with a median age of 39 years, 58% of whom were female. Antidepressants, quetiapine, and lamotrigine were the most commonly used medications in BD and were all linked to prior depressive illness and female sex. Lithium was used among patients with less diagnostic heterogeneity preceding BD, while valproate was more likely to be used for patients with prior substance use disorder or ADHD.

CONCLUSION

The pharmacological treatment of BD is linked to psychiatric morbidity preceding its diagnosis. Assuming that these associations reflect well-informed clinical decisions, this knowledge may inform future clinical trials by taking participants' prior morbidity into account in treatment allocation.

Pathways to professional mental care in the Swiss young adult community: a case-control study

Treatment success for mental health (MH) problems depends, among others, on the timeliness of help-seeking. Therefore, we studied the effect of symptoms and reasons for help-seeking on the point-of-contact and the most intensive professional treatment in a community sample. Participants were recruited as part of the 'Bern Epidemiological At-Risk' (BEAR) study on 16-40-year-old community persons of the Swiss canton Bern. Of the 2,683 participants, 615 (22.9%) reported at least one instance of help-seeking for MH problems and were selected for the presented analyses. Help-seeking behavior was assessed by a modified version of the 'WHO pathway-to-care questionnaire', from which the outcome 'most intensive MH professional contact' was generated. The effect of symptoms and reasons for help-seeking were analyzed in separate models using path analyses. Most help-seeking persons sought MH professional help (n = 405; 65.9%) with a high number of medical pre-contacts (n = 233; 37.9%). The 'most intensive MH professional contact' was provided after an average of 1.47 contacts. Both models showed negative associations between non-MH professional pre-contacts and the most intensive, likely most adequate MH treatment. In the symptom model, 'substance misuse' and 'central-vegetative problems' increased the general likelihood of MH professional contact. Our findings highlight the importance of the first point-of-contact in pathways to adequate MH care and, when seeking help from non-MH professional, of quick referrals to MH professionals. Awareness campaigns or training of health professionals, such as general practitioners, may support timely contact with MH professionals to improve diagnosis, prognosis, and outcome.

Identifying prior signals of bipolar disorder using primary care electronic health records: a nested case-control study

BACKGROUND

Bipolar disorders are serious mental illnesses, yet evidence suggests that the diagnosis and treatment of bipolar disorder can be delayed by around 6 years.

AIM

To identify signals of undiagnosed bipolar disorder using routinely collected electronic health records.

DESIGN AND SETTING

A nested case-control study conducted using the UK Clinical Practice Research Datalink (CPRD) GOLD dataset, an anonymised electronic primary care patient database linked with hospital records. 'Cases' were adult patients with incident bipolar disorder diagnoses between 1 January 2010 and 31 July 2017.

METHOD

The patients with bipolar disorder (the bipolar disorder group) were matched by age, sex, and registered general practice to 20 'controls' without recorded bipolar disorder (the control group). Annual episode incidence rates were estimated and odds ratios from conditional logistic regression models were reported for recorded health events before the index (diagnosis) date.

RESULTS

There were 2366 patients with incident bipolar disorder diagnoses and 47 138 matched control patients (median age 40 years and 60.4% female: n = 1430/2366 with bipolar disorder and n = 28 471/47 138 without). Compared with the control group, the bipolar disorder group had a higher incidence of diagnosed depressive, psychotic, anxiety, and personality disorders and escalating self-harm up to 10 years before a bipolar disorder diagnosis. Sleep disturbance, substance misuse, and mood swings were more frequent among the bipolar disorder group than the control group. The bipolar disorder group had more frequent face-to-face consultations, and were more likely to miss multiple scheduled appointments and to be prescribed ≥3 different psychotropic medication classes in a given year.

CONCLUSION

Psychiatric diagnoses, psychotropic prescriptions, and health service use patterns might be signals of unreported bipolar disorder. Recognising these signals could prompt further investigation for undiagnosed significant psychopathology, leading to timely referral, assessment, and initiation of appropriate treatments.

Development and multi-site external validation of a generalizable risk prediction model for bipolar disorder

Bipolar disorder is a leading contributor to disability, premature mortality, and suicide. Early identification of risk for bipolar disorder using generalizable predictive models trained on diverse cohorts around the United States could improve targeted assessment of high risk individuals, reduce misdiagnosis, and improve the allocation of limited mental health resources. This observational case-control study intended to develop and validate generalizable predictive models of bipolar disorder as part of the multisite, multinational PsycheMERGE Network across diverse and large biobanks with linked electronic health records (EHRs) from three academic medical centers: in the Northeast (Massachusetts General Brigham), the Mid-Atlantic (Geisinger) and the Mid-South (Vanderbilt University Medical Center). Predictive models were developed and valid with multiple algorithms at each study site: random forests, gradient boosting machines, penalized regression, including stacked ensemble learning algorithms combining them. Predictors were limited to widely available EHR-based features agnostic to a common data model including demographics, diagnostic codes, and medications. The main study outcome was bipolar disorder diagnosis as defined by the International Cohort Collection for Bipolar Disorder, 2015. In total, the study included records for 3,529,569 patients including 12,533 cases (0.3%) of bipolar disorder. After internal and external validation, algorithms demonstrated optimal performance in their respective development sites. The stacked ensemble achieved the best combination of overall discrimination (AUC = 0.82-0.87) and calibration performance with positive predictive values above 5% in the highest risk quantiles at all three study sites. In conclusion, generalizable predictive models of risk for bipolar disorder can be feasibly developed across diverse sites to enable precision medicine. Comparison of a range of machine learning methods indicated that an ensemble approach provides the best performance overall but required local retraining. These models will be disseminated via the PsycheMERGE Network website.

Suicidality and its associated factors among mood disorder patients in emergency department in China: a comparative study using propensity score matching approach

Suicidality in mood disorder patients is common, especially in emergency department (ED), but the patterns and associated factors of suicidality are not clear. This study compared biomarkers and mental health symptoms (i.e., depression, anxiety, and psychiatric symptoms) between mood disorder patients with and without the whole range of suicidality comprising suicidal ideation (SI), suicide plan (SP), and suicide attempt (SA). This cross-sectional, comparative, convenient-sampling study was conducted between January 2021 and March 2022, in emergency department of Beijing Anding Hospital, China. Patients with mood disorders at a psychiatric emergency department were assessed, with measurements of suicidality, biomarkers, depressive, anxiety, and psychiatric symptoms were assessed using the 24 items-Hamilton Depression Rating Scale (HAMD-24), Hamilton Anxiety Rating Scale (HAMA), Young Manic Rating Scale (YMRS) and Brief Psychiatric Rating Scale (BPRS), respectively. The propensity score matching (PSM) method was used to identify patients in mood disorder with and without SI, SP, and SA. A generalized linear model (GLM) was used to assess the differences in biomarkers, depressive, anxiety, and psychiatric symptoms between patients in mood disorder with and without SI, SP, and SA. In total, 898 participated in this survey and completed the assessment. Illness duration was significantly negatively associated with SA (OR = 0.969, 95%CI = 0.939-0.999, P = 0.046). HAMD-24 total score was significantly positively associated with the SI (OR = 1.167, 95%CI = 1.134-1.201, p < 0.001), SP (OR = 1.159, 95%CI = 1.126-1.192, p < 0.001) and SA (OR = 1.189, 95%CI = 1.144-1.235, p < 0.001) of the matched samptched sample. However, YMRS total score was significantly negatively associated with the SI (OR = 0.928, 95%CI = 0.905-0.951, p < 0.001), SP (OR = 0.920, 95%CI = 0.897-0.944, p < 0.001) and SA (OR = 0.914, 95%CI = 0.890-0.938, p < 0.001) of the matched sample after adjusting for age, gender, marital status, and occupation. The duration of illness, severity of depressive symptoms and severity of manic symptoms appeared to be more likely to influence suicidality. Considering the significant risk of suicide in mood disorders on psychiatric emergency care, timely treatment and effective management of suicidality in this population group need to be developed.

Which factors are associated with duration of untreated illness in borderline personality disorder?

AIM

Borderline personality disorder (BPD) is a prevalent condition associated with high rates of hospitalizations. The purpose of this manuscript was to detect the factors associated with duration of untreated illness (DUI) in BPD.

METHODS

Through chart review, we identified 152 patients followed up by community psychiatry services in Milan and Monza, Italy. The association between DUI and socioeconomic and clinical variables was examined using Pearson correlation and analyses of variances. The statistically significant variables from univariate analyses were then inserted in regression models.

RESULTS

A longer DUI was associated with several variables (substance misuse after the onset of BPD, older age, earlier age at onset, longer duration of illness), but these results were not maintained in the regression analyses.

CONCLUSIONS

In conclusion, DUI does not seem to be significantly associated with specific clinical aspects of BPD, or significantly modify the course and outcome of the disorder. Studies with larger samples have to confirm these preliminary findings.

Evidence of factors influencing delays in the diagnosis and treatment of bipolar disorder in adolescents and young adults. Protocol for a systematic scoping review

BACKGROUND

Bipolar Disorder (BD) is a complex psychiatric condition that typically manifests during late adolescence and early adulthood. Over the past two decades, international studies have reported that BD often goes unrecognized and untreated for several years, which can lead to negative clinical and functional outcomes. However, the components of delay in the diagnosis and treatment of BD and various factors influencing those components have not been systematically explored.

OBJECTIVES

The scoping review described in this protocol aims to map the existing literature on potential factors that influence delays in the treatment of BD in adolescents and young adults, in order to identify the knowledge gaps and future research and policy priorities.

METHODS

This protocol for a systematic scoping review will be reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline (PRISMA-ScR). We will search the electronic databases of MEDLINE (OVID), EMBASE, PsycINFO and CINAHL for peer-reviewed primary research articles published in academic journals. Grey literature will not be explored due to resource limitations. A conceptual framework based on the Model of Pathways to Treatment by Scott and colleagues was used as a foundation for our search and extraction strategy to ensure all components of delay and potential factors influencing each component are explored. Two independent reviewers will screen the references retrieved by the literature search and select relevant studies based on our inclusion criteria. The data from included studies will be synthesized into a narrative summary, and implications for future research, practice and policy will be discussed.

DISCUSSION

To the best of our knowledge, this will be the first scoping review to explore the potential factors that influence delays in the treatment of BD in adolescents and young adults. We intend to disseminate the review results through academic conferences and publication in a peer-reviewed journal.

Factors Influencing Delay in Seeking Care for Mental Illness Among a Sample of Adult Saudi Arabian Patients

BACKGROUND

 Treatment and prognosis of psychiatric disorders could be negatively affected by delay in seeking mental health care. The development of mental health services depends on understanding the reasons for delays in help-seeking and pathways to care and the duration of illness before treatment is initiated.

OBJECTIVES

The aim of the present study is to examine the reasons why patients with psychiatric symptoms delay their visits to psychiatry clinics in Saudi Arabia.

METHODS

This was a cross-sectional, observational, survey-based study that included 268 patients, of which 60.8% were males. Data were collected through a questionnaire (either online or distributed to patients who attend the outpatient psychiatric clinics) in Taif, Saudi Arabia.

RESULTS

Most patients were married males below 40 years old, with a university degree level, employed, and having average financial status. The most common symptom reported by responders was anxiety (41.8%). The most common reason in both age groups was the fear of side effects of medication (31.9% in those over 40 years and 18.4% below 40 years), followed by the patient belief that these are non-psychiatric symptoms and will disappear with time. The trial of folk medicine was the least common reason for both age groups (1.8% in patients below 40 years and 0% for patients above 40 years).

CONCLUSION

Fear of psychotropic drug adverse effects was the most frequent reason given for postponing mental health counseling. This could be due to some unpleasant or intolerable effects. Anxiety was the most common psychiatric symptom among patients delaying their first psychiatric consultation. These findings serve as a guide for the improvement of mental health services and psychoeducation in Saudi Arabia.

Mental health literacy and suicidal ideation among Chinese college students: The mediating role of depressive symptoms and anxiety symptoms

BACKGROUND

Mental health literacy (MHL) is essential to mental health. Symptoms of depression and anxiety are significant antecedents and closely related to suicide among college students. Few studies have explored the mediating role of depressive and anxiety symptoms between MHL and suicidal ideation.

METHODS

5578 college students were included in the analysis. The online Wenjuanxing platform was used to collect data from November 2020 to March 2021. The bootstrapping method was used to test the mediating role of depressive and anxiety symptoms in the links between MHL and suicidal ideation.

RESULTS

Approximately 18.8 % of Chinese college students in our study reported having suicidal ideation. MHL exhibited a significant and negative correlation with depressive symptoms, anxiety symptoms, and suicidal ideation, whereas depressive and anxiety symptoms correlated significantly and positively with suicidal ideation. Compared with the lowest MHL quartile, the 3rd and 4th quartiles of MHL were associated with a significantly lower risk of suicidal ideation after adjusting for various confounding factors. Depressive and anxiety symptoms partially mediated the relationship between MHL and suicidal ideation, and the mediating effect of depressive symptoms was significantly greater than that of anxiety symptoms.

LIMITATIONS

This study was a cross-sectional survey. Future longitudinal studies on this relation are needed.

CONCLUSIONS

Depressive and anxiety symptoms mediate the relationship between MHL and suicidal ideation. Comprehensive school-based specific psychological education programs are needed to improve college students' MHL and change their attitudes toward mental health services.

RNA Biomarkers in Bipolar Disorder and Response to Mood Stabilizers

Bipolar disorder (BD) is a severe chronic disorder that represents one of the main causes of disability among young people. To date, no reliable biomarkers are available to inform the diagnosis of BD or clinical response to pharmacological treatment. Studies focused on coding and noncoding transcripts may provide information complementary to genome-wide association studies, allowing to correlate the dynamic evolution of different types of RNAs based on specific cell types and developmental stage with disease development or clinical course. In this narrative review, we summarize findings from human studies that evaluated the potential utility of messenger RNAs and noncoding transcripts, such as microRNAs, circular RNAs and long noncoding RNAs, as peripheral markers of BD and/or response to lithium and other mood stabilizers. The majority of available studies investigated specific targets or pathways, with large heterogeneity in the included type of cells or biofluids. However, a growing number of studies are using hypothesis-free designs, with some studies also integrating data on coding and noncoding RNAs measured in the same participants. Finally, studies conducted in neurons derived from induced-pluripotent stem cells or in brain organoids provide promising preliminary findings supporting the power and utility of these cellular models to investigate the molecular determinants of BD and clinical response.

The Role of Ketamine in the Treatment of Bipolar Depression: A Scoping Review

Bipolar depression remains a clinical challenge with a quarter of patients failing to respond to initial conventional treatments. Although ketamine has been extensively studied in unipolar depression, its role in bipolar disorder remains inconclusive. The aim of our scoping review was to comprehensively synthesize the current clinical literature around ketamine use in bipolar depression. A total of 10 clinical studies (5 randomized controlled trials and 5 open label studies) were selected. The preliminary evidence, albeit weak, suggests that ketamine is a promising treatment and calls for further interest from the research community. Overall, ketamine treatment appeared to be tolerable with minimal risk for manic/hypomanic switching and showed some effectiveness across parameters of depression and suicidality. Moreover, ketamine is a potential treatment agent in patients with treatment-resistant bipolar depression with promising data extracted from extant controlled trials and real-world effectiveness studies. Future studies are needed to identify ketamine's role in acute and maintenance treatment phases of bipolar depression. Moreover, future researchers should study the recurrence prevention and anti-suicidal effects of ketamine in the treatment of bipolar depression.

A New Treatment Program: Focused Integrated Team-based Treatment Program for Bipolar Disorder (FITT-BD)

OBJECTIVE

Bipolar disorder (BD) is complicated by a dynamic, chronic course along with multiple comorbid psychiatric and medical conditions, making it challenging for clinicians to treat and patients to thrive. To efficiently manage the complexity of BD and help patients recover, we developed a Focused Integrated Team-based Treatment Program for Bipolar Disorder (FITT-BD). The purpose of this paper is to describe how we developed this clinic and the lessons we learned.

METHODS

We developed FITT-BD by integrating strategies from stepped care, collaborative care, and learning health care systems. We describe the rationale, details, and lessons learned in developing FITT-BD.

RESULTS

By integrating stepped care, collaborative care, and a learning health care system approach, FITT-BD aims to reduce barriers to care, leverage the expertise of a multidisciplinary treatment team, ensure patient-centeredness, and use assessments to inform and continuously improve outcomes in real time. We learned that there are challenges in the creation of a web-based application that tracks the treatment of patients within a network of hospitals.

CONCLUSIONS

The success of FITT-BD will be determined by the degree to which it can increase treatment access, improve treatment adherence, and help individuals with BD achieve their treatment goals. We expect that FITT-BD will improve outcomes in the context of ongoing clinical care.

PUBLIC HEALTH SIGNIFICANCE

The treatment of BD is challenging and complex. We propose a new treatment model for BD: FITT-BD. We expect that this program will be a patient-centered approach that improves outcomes in the context of ongoing clinical care for patients with BD.

Sensation Seeking in Children and Adults with Pediatric-Onset Bipolar Disorder

Bipolar disorder (BD) is one of the most impairing psychiatric illnesses. Those with pediatric-onset BD tend to have worse outcomes; therefore, accurate conceptualization is important for aspects of care, such as tailored treatment interventions. Sensation seeking behaviors may be a window into the psychopathology of pediatric-onset BD. Participants with BD and healthy controls (HC) ages 7-27 completed self-report assessments, including the Sensation Seeking Scale- V (SSS-V). Among the BD group, there was a significant positive correlation between the Disinhibition subscale and age. Analyses indicated that the BD group scored lower on the Thrill and Adventure Seeking subscale but higher on the Disinhibition scale when compared to the HC group. We found that individuals with pediatric-onset BD are more likely to engage in socially risky behaviors. These results are an important step in understanding sensation seeking characteristics in BD youth and improving treatment, ultimately helping individuals live a more stable life.

[Failure to draw up medical certificates increase judiciary releases]

OBJECTIVES

In France, a systematic control of compulsory psychiatric admissions has existed since the enactment of the law of July 5th 2011. The Court of Cassation clarified that the liberty and custody judges (JLD) cannot supersede the medical opinion described in the medical certificates. In 2015, the JLD ordered the release of 8.4 % of all compulsory psychiatric admissions. The goal was to compare the quality of medical certificates derived from judicial release based on medical grounds with non-released witnesses from the cohort of compulsory psychiatric admissions ordered in the Groupe Hospitalier Universitaire Paris Psychiatrie & Neurosciences (GHU-Paris) between November 1, 2017 and October 31, 2018.

METHODS

We included as cases all the medical certificates derived from judicial release based exclusively on medical grounds from the release cohort of the GHU-Paris from November 1, 2017 to October 31, 2018, concerning the systematic control 12 days after compulsory psychiatric admissions. A witness whose compulsory care had been maintained was matched according to the same judge, place and date of hearing, mode of compulsory care and site of hospitalization. Each certificate was analyzed according to a reading grid relating to the good decisions in matters of compulsory admission and medical certificates' redaction. An overall score, based on the description of the clinical and symptomatic evolution, the level of discernment, the capacity of consent and the mode of compulsory care was awarded to each certificate.

RESULTS

Seventeen release files were included in the comparative study. Globally, the clinical progression, psychiatric symptoms, level of consciousness and ability to consent did not differ in the two groups. The grade of quality of certificate was lower in case of withdrawal (2.92±1.08 VS 3.28±0.88, P=0.026). Psychiatric symptoms in "justifiable notice" (the last medical certificate prior to the judicial hearing) were less specified in case of withdrawal (58.8 % VS 94.1 %, P=0.015). Not describing any symptoms led to a 12.51 risk of withdrawal (95 % CI=[1.16; 135.19], P=0.038). Even with witness certificate, clinical progression was noticed in only 85.3 % of cases, in 89.3 % of psychiatric symptoms, in 68.0 % of level of consciousness and 80.0 % for the ability to consent.

CONCLUSIONS

Judiciary releases of compulsory psychiatric admissions exclusively based on medical grounds are not arbitrarily decided by the JLD but are based on a failure to draw up medical certificates. Doctors must comply with a careful drafting of all medical certificates: description of symptoms, clinical course, level of consciousness and ability to consent. It is necessary to be attentive to judiciary releases based on medical grounds to evaluate and improve medical practices concerning the drafting of medical certificates.

Correlates of long duration of untreated illness (DUI) in patients with bipolar disorder: results of an observational study

BACKGROUND

Despite a high number of studies investigating the correlation between long Duration of Untreated Illness (DUI) and poor course of Bipolar Disorder (BD), the results concerning the impact of DUI on some specific factors, such as suicidality and medical comorbidities, are still inconsistent. This cross-sectional observational study aimed at analyzing potential socio-demographic and clinical correlates of long DUI in a large cohort of real-world, well-characterized BD patients.

METHODS

The socio-demographic and clinical characteristics of 897 patients with BD were collected. The sample was divided for analysis in two groups (short DUI vs long DUI) according to a DUI cutoff of 2 years. Comparisons were performed using χ2 tests for categorical variables and the Kruskal-Wallis test for continuous variables. Logistic regression (LogReg) was used to identify explanatory variables associated with DUI (dependent variable).

RESULTS

Six-hundred and sixty patients (75.5%) presented long DUI (> 2 years) and mean DUI was 15.7 years. The LogReg analysis confirmed the association of long DUI with bipolar II disorder (p: 0.016), lower age at onset (p < 0.001), depressive predominant polarity (p: 0.018), depressive polarity onset (p < 0.001), longer duration of illness (p < 0.001), lifetime suicide attempts (p: 0.045) and current medical comorbidities (p: 0.019).

CONCLUSIONS

The present study confirms the association between long DUI and higher risk of suicide attempts in patients with BD. Moreover, an association between long DUI and higher rates of medical conditions has been found.

Development and Multi-Site External Validation of a Generalizable Risk Prediction Model for Bipolar Disorder

Bipolar disorder is a leading contributor to disability, premature mortality, and suicide. Early identification of risk for bipolar disorder using generalizable predictive models trained on diverse cohorts around the United States could improve targeted assessment of high risk individuals, reduce misdiagnosis, and improve the allocation of limited mental health resources. This observational case-control study intended to develop and validate generalizable predictive models of bipolar disorder as part of the multisite, multinational PsycheMERGE Consortium across diverse and large biobanks with linked electronic health records (EHRs) from three academic medical centers: in the Northeast (Massachusetts General Brigham), the Mid-Atlantic (Geisinger) and the Mid-South (Vanderbilt University Medical Center). Predictive models were developed and validated with multiple algorithms at each study site: random forests, gradient boosting machines, penalized regression, including stacked ensemble learning algorithms combining them. Predictors were limited to widely available EHR-based features agnostic to a common data model including demographics, diagnostic codes, and medications. The main study outcome was bipolar disorder diagnosis as defined by the International Cohort Collection for Bipolar Disorder, 2015. In total, the study included records for 3,529,569 patients including 12,533 cases (0.3%) of bipolar disorder. After internal and external validation, algorithms demonstrated optimal performance in their respective development sites. The stacked ensemble achieved the best combination of overall discrimination (AUC = 0.82 - 0.87) and calibration performance with positive predictive values above 5% in the highest risk quantiles at all three study sites. In conclusion, generalizable predictive models of risk for bipolar disorder can be feasibly developed across diverse sites to enable precision medicine. Comparison of a range of machine learning methods indicated that an ensemble approach provides the best performance overall but required local retraining. These models will be disseminated via the PsycheMERGE Consortium website.

Staging models applied in a sample of patients with bipolar disorder: Results from a retrospective cohort study

BACKGROUND

Bipolar Disorder (BD) is a life-long illness with compelling evidence of progression. Although different staging models have been proposed to evaluate its course, clinical data remain limited. The aim of the present study was to retrospectively assess applicability of available staging approaches and their pattern of progression in a sample of bipolar patients.

METHODS

In a naturalistic sample of 100 BD patients, retrospective assessment of clinical stages was performed at four time points over 10 years, according to four staging models. Staging progression with potential associations between stages and unfavourable illness characteristics were analyzed.

RESULTS

A pattern of stage worsening emerged for each model, with a significant increase at every time point. Greater stage increases emerged in patients with lower educational level, age at first elevated episode ≤35 years, duration of illness ≤25 years, and duration of untreated illness ≤5 years. Lower stage values were associated with BD II, no psychiatric hospitalization, depressive onset and predominant polarity, ≤three lifetime episodes, age at first mood stabilizer >40 years, duration of illness ≤25 years, and engaged/employed status. Higher stage values were associated with lower age at first elevated episode and mood stabilizing treatment instead.

LIMITATIONS

Naturalistic and retrospective design, recruitment at a 2nd level specialistic clinic.

CONCLUSIONS

Reported findings support the progressive nature of BD and the application of staging models for early intervention, suggesting a conceptualization of a standardized approach to better characterize patients, predict their clinical course, and deliver tailored treatment options.

Duration of untreated illness and clinical correlates in first-episode and drug-naïve patients with major depressive disorder

BACKGROUNDS

The notion that a prolonged duration of untreated illness (DUI) leads to poorer outcomes has contributed to extensive changes in mental health services worldwide. However, most studies on DUI have focused on schizophrenia and related psychosis. This study aimed to assess the possible relationship between DUI and certain clinical correlates in first-episode and drug-naïve patients with major depressive disorder (MDD).

METHODS

This cross-sectional study recruited 1718 first-episode and drug-naïve MDD outpatients. All participants were scored on the Hamilton Depression Rating Scale, Hamilton Anxiety Rating Scale, Positive and Negative Syndrome Scale, and thyroid hormone and metabolic parameters were measured. We used the Structure Clinical Interview for DSM-IV for clinical diagnosis and investigated suicide attempts through face-to-face interviews.

RESULTS

A total of 171 (10%) of MDD patients had co-morbid psychiatric symptoms. Participants who were older, with lower education level, and married were less likely to seek a timely treatment compared to the counterparts. One-month longer untreated duration was associated with 2% to 9% higher odds of being with most of the investigated clinical conditions. For those with the longest DUI, the risk was increased for most of the investigated clinical conditions, with absolute risk differences ranging from 5.19% to 29.48%.

CONCLUSIONS

These findings suggest that longer DUI may be negatively associated with clinical correlates in MDD. Further long-term follow-up studies are warranted to confirm these preliminary results.

Pathways to Mental Health Care in a Defined Geographic Area of Athens

The purpose of the present study was to explore the duration between the onset of psychopathology and the first contact either with a sectorized Community Mental Health Centre (CMHC) of Athens area or other mental health services, identify the pathways to the CMHC as well as possible sociodemographic and clinical factors affecting help-seeking behavior. The sample consisted of 355 individuals who visited the CMHC, but had sought help from another mental health care source prior to their visit to the Centre (group A), and was compared with 398 individuals who had no previous contact with any other psychiatric service (group B). The average duration of untreated mental disorders was found to be 19.85 (SD 23.113) for males of group A and 26.26 (SD 41.158) for males of group B. Among females the mean duration was found to be 18.11 (SD 27.293) for group A and 22.21 (SD 29.440) for group B, a statistically significant difference. In group A, the intervening services referred the clients at an earlier stage. The striking difference is that only eight individuals (2%) of group B (first timers) were diagnosed as suffering from schizophrenia contrasting to the 61 (17.4%) counterparts of group A. Individuals in our study diagnosed with psychosis seemed to have sought help first from other mental health services and delay to visit a CMHC. People who face problems resulting from their interpersonal or professional relationships often choose to have a first contact with a CMHC. Reduction of the delay in treatment will require clearer understanding of the contributing factors. Liaison activities with public and mental health sector services and outreach interventions to increase awareness on the early recognition of psychopathologic symptoms and the need for early referral could reduce the duration of untreated mental disorders.

Electroconvulsive therapy following incident bipolar disorder: When, how, and for whom?

OBJECTIVE

The use of electroconvulsive therapy (ECT) in the treatment of bipolar disorder (BD) remains poorly described. Based on data from Danish registries with complete nationwide coverage, this study of patients with incident BD aimed to describe when, how, and for whom ECT is used in the context of BD.

METHODS

We identified patients receiving their first diagnosis of BD in the period from 2008 to 2018, who subsequently received ECT. Descriptive statistics were used to clarify when, how, and for whom ECT is used.

RESULTS

We identified 1338 patients with incident BD who subsequently received ECT. The median age at the first ECT session was 50.6 years (interquartile range [IQR]: 26.4), and 62% of those treated with ECT were female. The median time from the diagnosis of BD to the first ECT treatment was 0.6 years (IQR: 2.6), and 58% of the patients receiving ECT had the first treatment within the first year after being diagnosed with BD. The most common indication for the first ECT treatment was depression (mainly non-psychotic depression), followed by mania (mainly psychotic mania). The first ECT session was typically provided to inpatients (97%), upon patient consent (98%) and with bilateral electrode placement (60%).

CONCLUSIONS

A substantial proportion of the patients with incident BD who receive ECT require this treatment within the first year after the diagnosis. The most common indication for ECT is depression followed by (psychotic) mania. Inpatient voluntary ECT using bilateral electrode placement is the most common form of administration.

A systematic review and meta-analysis of delayed help-seeking, delayed diagnosis and duration of untreated illness in bipolar disorders

OBJECTIVES

To examine the time delay between the age at onset of symptoms or episodes of bipolar disorders (BD) and the age at diagnosis of and/or receipt of clinical practice guideline recommended interventions for BD.

METHODS

Systematic search of five databases to identify publications from January 2000 to July 2022 that reported one or more of the following reliable and valid estimates of latency: delay in help seeking (DHS), delay in diagnosis (DD) and duration of untreated BD (DUB). Eligible studies were included in random effects meta-analyses and multivariate meta-regression was used to assess factors associated with each latency construct.

RESULTS

Screening of 1074 publications identified 59 eligible studies (reported in 66 publications) of >40,000 individuals that estimated DHS (8 studies), DD (20 studies) and/or DUB (45 studies). The median DHS, DD and DUB were 3.5 (IQR: 2.8, 8.48), 6.7 (IQR: 5.6, 8.9) and 5.9 years (IQR: 1.1, 8.2), respectively. Key factors associated with shorter DD included older age and residing outside North America; shorter DUB was associated with psychotic or manic onset and access to early intervention services.

CONCLUSIONS

Greater consensus on definitions of latency constructs and better-quality targeted research is required regarding DHS, DD and DUB. This review suggests that, while the peak age at onset of BD is 15-25, diagnosis and guideline recommended interventions (e.g., mood stabilizers) are likely to be delayed until age 25-35 years except for a minority of individuals with access to early intervention services.

Suicide and Suicide Prevention Awareness in Korea During the COVID-19 Pandemic

OBJECTIVE

Owing to prolonged social distancing and the resultant isolation, the prevalence of depression and suicidality has increased during the COVID-19 pandemic. This study aimed to investigate the severity of depression and suicidality in Korean community populations and examine their awareness of suicide and suicide prevention during the pandemic.

METHODS

This study surveyed a community population in 2020 and 2021, involving 668 participants. We evaluated the severity of depression and suicidality using the Patient Health Questionnaire-9 and Beck Scale for Suicidal Ideation as well as questions about awareness of suicide. We performed a correlation analysis to confirm the association between variables, and compared participants' suicide awareness according to the severity of depression.

RESULTS

The severity of depression and suicidality in the community population decreased in 2021 compared to 2020. Awareness of the importance of suicide prevention increased in 2021, but the percentage reporting that it is possible decreased slightly. The group with higher depressive symptoms reported a lower possibility of suicide prevention.

CONCLUSION

Increasing social interest in suicide, as well as awareness of suicide prevention, is important for reducing suicide rates. Suicide prevention campaigns, education, and social policies are needed, particularly during the pandemic.

Which Clinical and Biochemical Parameters Are Associated with Lifetime Suicide Attempts in Bipolar Disorder?

Introduction: Bipolar Disorder (BD) is a disabling condition with suicidal behavior as one of the most common adverse outcomes. The purpose of the present research is to investigate the relationship between lifetime suicide attempts and the clinical factors/biochemical parameters in a large sample of bipolar patients. Methods: A total of 561 patients, consecutively hospitalized for BD in Milan and Monza (Italy), were recruited. Data about the demographic and clinical variables, as well as the values of blood analyses, were collected. The groups identified according to the presence/absence of lifetime suicide attempts were compared using univariate analyses. Then, three preliminary binary logistic regressions and a final logistic regression model were performed to identify the clinical and biochemical parameters associated with lifetime suicide attempts in BD. Results: Lifetime suicide attempts in BD were predicted by a longer duration of untreated illness (DUI) (p = 0.005), absence of lifetime psychotic symptoms (p = 0.025), presence of poly-substance use disorders (p = 0.033), comorbidity with obesity (p = 0.022), a last mood episode of manic polarity (p = 0.044), and lower bilirubin serum levels (p = 0.002); higher total cholesterol serum levels showed a trend toward statistical significance (p = 0.058). Conclusions: BD patients with lifetime suicide attempts present unfavorable clinical features. Some specific biochemical characteristics of bipolar patients may represent potential markers of suicidal behavior and need to be better investigated to identify new targets of treatment in the framework of personalized medicine. These preliminary findings have to be confirmed by further studies in different clinical settings.

The effect of the COVID-19 lockdown on mental health care use in South Africa: an interrupted time-series analysis

AIMS

The coronavirus disease 2019 (COVID-19) pandemic and ensuing restrictions have negatively affected the mental health and well-being of the general population, and there is increasing evidence suggesting that lockdowns have led to a disruption of health services. In March 2020, South Africa introduced a lockdown in response to the COVID-19 pandemic, entailing the suspension of all non-essential activities and a complete ban of tobacco and alcohol sales. We studied the effect of the lockdown on mental health care utilisation rates in private-sector care in South Africa.

METHODS

We conducted an interrupted time-series analysis using insurance claims from 1 January 2017 to 1 June 2020 of beneficiaries 18 years or older from a large private sector medical insurance scheme. We calculated weekly outpatient consultation and hospital admission rates for organic mental disorders, substance use disorders, serious mental disorders, depression, anxiety, other mental disorders, any mental disorder and alcohol withdrawal syndrome. We calculated adjusted odds ratios (OR) for the effect of the lockdown on weekly outpatient consultation and hospital admission rates and the weekly change in rates during the lockdown until 1 June 2020.

RESULTS

710 367 persons were followed up for a median of 153 weeks. Hospital admission rates (OR 0.38; 95% confidence interval (CI) 0.33-0.44) and outpatient consultation rates (OR 0.74; 95% CI 0.63-0.87) for any mental disorder decreased substantially after the introduction of the lockdown and did not recover to pre-lockdown levels by 1 June 2020. Health care utilisation rates for alcohol withdrawal syndrome doubled after the introduction of the lockdown, but the statistical uncertainty around the estimates was large (OR 2.24; 95% CI 0.69-7.24).

CONCLUSIONS

Mental health care utilisation rates for inpatient and outpatient services decreased substantially after the introduction of the lockdown. Hospital admissions and outpatient consultations for alcohol withdrawal syndrome increased after the introduction of the lockdown, but statistical uncertainty precludes strong conclusions about a potential unintended effect of the alcohol sales ban. Governments should integrate strategies for ensuring access and continuity of essential mental health services during lockdowns in pandemic preparedness planning.

Using decision-analysis modelling to estimate the economic impact of the identification of unrecognised bipolar disorder in primary care: the untapped potential of screening

Background

Patients with bipolar disorder are often unrecognised and misdiagnosed with major depressive disorder leading to higher direct costs and pressure on the medical system. Novel screening tools may mitigate the problem. This study was aimed at investigating the direct costs of bipolar disorder misdiagnosis in the general population, evaluating the impact of a novel bipolar disorder screening algorithm, and comparing it to the established Mood Disorder Questionnaire. A decision analysis model was built to quantify the utility of one-time screening for bipolar disorder in primary care adults presenting with a depressive episode. A hypothetical population of interest comprised a healthcare system of one million users, corresponding to 15,000 help-seekers diagnosed with major depressive disorder annually, followed for five years. The model was used to calculate the impact of screening for bipolar disorder, compared to no screening, in terms of accuracy and total direct costs to a third-party payer at varying diagnostic cut-offs. Decision curve analysis was used to evaluate clinical utility.

Results

Compared to no screening, one-time screening for bipolar disorder using the algorithm reduced the number of misdiagnoses from 680 to 260, and overall direct costs from $50,936 to $49,513 per patient, accounting for $21.3 million savings over the five-year period. The algorithm outperformed the Mood Disorder Questionnaire, which yielded 367 misdiagnoses and $18.3 million savings over the same time. Decision curve analysis showed the screening model was beneficial.

Conclusions

Utilisation of bipolar disorder screening strategies could lead to a substantial reduction in human suffering by reducing misdiagnosis, and also lessen the healthcare costs.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40345-022-00261-9.

Student Counseling Centers in Europe: A Retrospective Analysis

Objective

Tertiary education can be stressful for many young people, who consistently report high levels of distress. The issue has major implications for campus health services and mental health policymaking more widely. The present study proposes to map student counseling services in Europe.

Methods

The sample of institutions was sourced, using standardized data extraction, from the European Tertiary Education Register (ETER). Then, each institution's website was analyzed for information about the availability of student counseling centers and the services provided. Data extracted from the ETER database were: ETER ID, national identifier, institution name, English institution name, number of students, legal status (in English), institution category (in English), and institutional website. Data extracted from institutions' websites concerned the availability of students' psychological centers and the services provided. Analyses were carried out using the SPSS Statistics software package (IBM Corp., Armonk, NY, United States), version 26.

Results

Overall, it was found that most institutions do not provide mental health counseling services for their students. Institutions of medium dimensions showed a higher probability of reporting students' psychological centers than small institutions. Moreover, private institutions and public institutions were more likely to report having such centers, while private government-dependent institutions were less likely. Universities of applied sciences and universities were more likely to report having them, while other institutions were less likely. Regarding provision according to geographic area, compared to Northern Europe, every other European region was less likely to report featuring such centers. Most institutions reported offering counseling, career counseling, or not otherwise specified psychological services, but only a small number reported providing services such as psychotherapy, psychiatric services, or counseling for learning-specific disabilities.

Conclusion

It is critically important to catalog European data on student counseling centers and services, to encourage tertiary education institutions to invest in such services as key sites for mental health promotion. Indeed, professionally trained staff and the possibility of long-term treatment options would go a long way in supporting students who might not otherwise have access to treatment.

mHealth Solutions for Mental Health Screening and Diagnosis: A Review of App User Perspectives Using Sentiment and Thematic Analysis

Mental health screening and diagnostic apps can provide an opportunity to reduce strain on mental health services, improve patient well-being, and increase access for underrepresented groups. Despite promise of their acceptability, many mental health apps on the market suffer from high dropout due to a multitude of issues. Understanding user opinions of currently available mental health apps beyond star ratings can provide knowledge which can inform the development of future mental health apps. This study aimed to conduct a review of current apps which offer screening and/or aid diagnosis of mental health conditions on the Apple app store (iOS), Google Play app store (Android), and using the m-health Index and Navigation Database (MIND). In addition, the study aimed to evaluate user experiences of the apps, identify common app features and determine which features are associated with app use discontinuation. The Apple app store, Google Play app store, and MIND were searched. User reviews and associated metadata were then extracted to perform a sentiment and thematic analysis. The final sample included 92 apps. 45.65% (n = 42) of these apps only screened for or diagnosed a single mental health condition and the most commonly assessed mental health condition was depression (38.04%, n = 35). 73.91% (n = 68) of the apps offered additional in-app features to the mental health assessment (e.g., mood tracking). The average user rating for the included apps was 3.70 (SD = 1.63) and just under two-thirds had a rating of four stars or above (65.09%, n = 442). Sentiment analysis revealed that 65.24%, n = 441 of the reviews had a positive sentiment. Ten themes were identified in the thematic analysis, with the most frequently occurring being performance (41.32%, n = 231) and functionality (39.18%, n = 219). In reviews which commented on app use discontinuation, functionality and accessibility in combination were the most frequent barriers to sustained app use (25.33%, n = 19). Despite the majority of user reviews demonstrating a positive sentiment, there are several areas of improvement to be addressed. User reviews can reveal ways to increase performance and functionality. App user reviews are a valuable resource for the development and future improvements of apps designed for mental health diagnosis and screening.

Learnings from user feedback of a novel digital mental health assessment

Digital mental health interventions (DMHI) have the potential to address barriers to face-to-face mental healthcare. In particular, digital mental health assessments offer the opportunity to increase access, reduce strain on services, and improve identification. Despite the potential of DMHIs there remains a high drop-out rate. Therefore, investigating user feedback may elucidate how to best design and deliver an engaging digital mental health assessment. The current study aimed to understand 1304 user perspectives of (1) a newly developed digital mental health assessment to determine which features users consider to be positive or negative and (2) the Composite International Diagnostic Interview (CIDI) employed in a previous large-scale pilot study. A thematic analysis method was employed to identify themes in feedback to three question prompts related to: (1) the questions included in the digital assessment, (2) the homepage design and reminders, and (3) the assessment results report. The largest proportion of the positive and negative feedback received regarding the questions included in the assessment (n = 706), focused on the quality of the assessment (n = 183, 25.92% and n = 284, 40.23%, respectively). Feedback for the homepage and reminders (n = 671) was overwhelmingly positive, with the largest two themes identified being positive usability (i.e., ease of use; n = 500, 74.52%) and functionality (i.e., reminders; n = 278, 41.43%). The most frequently identified negative theme in results report feedback (n = 794) was related to the report content (n = 309, 38.92%), with users stating it was lacking in-depth information. Nevertheless, the most frequent positive theme regarding the results report feedback was related to wellbeing outcomes (n = 145, 18.26%), with users stating the results report, albeit brief, encouraged them to seek professional support. Interestingly, despite some negative feedback, most users reported that completing the digital mental health assessment has been worthwhile (n = 1,017, 77.99%). Based on these findings, we offer recommendations to address potential barriers to user engagement with a digital mental health assessment. In summary, we recommend undertaking extensive co-design activities during the development of digital assessment tools, flexibility in answering modalities within digital assessment, customizable additional features such as reminders, transparency of diagnostic decision making, and an actionable results report with personalized mental health resources.

Sex Differences in Bipolar Disorders: Impact on Psychopathological Features and Treatment Response

INTRODUCTION

Sex differences were demonstrated in bipolar disorders (BD) concerning epidemiological, clinical, and psychopathological characteristics, but consensus is lacking. Moreover, data concerning the influence of sex on treatment response in BD is contrasting. The present cross-sectional study aimed to analyze sex differences in a population of BD subjects, with specific focus on psychopathological features and treatment response.

MATERIALS AND METHODS

Subjects diagnosed with BD according to the Diagnostic and Statistical Manual of Mental Disorders, 5th version (DSM-5) were recruited. Socio-demographic and clinical characteristics were collected. The Hamilton Rating Scale for Depression, the Mania Rating Scale (MRS), the brief version of the Temperament Evaluation of Memphis, Pisa and San Diego-Münster version (briefTEMPS-M), and the Barratt Impulsiveness Scale-11 items (BIS-11) were used for psychopathological assessment. Treatment response was appraised with the Alda Scale. We performed bivariate analyses to compare socio-demographic, clinical, and psychopathological characteristics between men and women (p < 0.05). A logistic regression was run to analyze features that were significantly associated with female sex.

RESULTS

Among the recruited 219 BD subjects, 119 (54.3%) were females. Women had a lower scholarity (p = 0.015) and were less frequently employed (p = 0.001). As for psychopathological features, a higher MRS total score (p < 0.001) was detected among women, as well as higher BIS-11 total score (p = 0.040), and briefTEMPS-M score for anxious temperament (p = 0.006). Men showed higher prevalence of DSM-5 mixed features (p = 0.025), particularly during a depressive episode (p = 0.014). Women reported longer duration of untreated illness (DUI) (p < 0.001). There were no sex differences in the Alda Scale total score when considering the whole sample, but this was significantly higher among men (p = 0.030) when evaluating subjects treated with anticonvulsants. At the logistic regression, female sex was positively associated with longer DUI (p < 0.001; OR 1.106, 95% CI 1.050-1.165) and higher MRS total score (p < 0.001; OR 1.085, 95% CI 1.044-1.128) and negatively associated with employment (p = 0.003; OR 0.359, 95% CI 0.185-0.698) and DSM-5 mixed features (p = 0.006; OR 0.391, 95% CI 0.200-0.762).

CONCLUSIONS

The clinical presentation of BD may differ depending on sex. The severity of BD should not be neglected among women, who may also display worse treatment response to anticonvulsants.

Clinical and demographic factors associated with delayed diagnosis of bipolar disorder: Data from Health Outcomes and Patient Evaluations in Bipolar Disorder (HOPE-BD) study

BACKGROUND

The diagnosis of Bipolar Disorder (BD) is frequently delayed. In this study, we aimed to examine the clinical and demographic factors associated with delayed diagnosis of BD, defined as the difference between the age at first mood episode (depressive, manic, or hypomanic) and the age at the correct diagnosis of BD, using data from a Canadian multicentre naturalistic study.

METHODS

The sample included 192 patients with Bipolar I Disorder (BD-I) and 127 with Bipolar II Disorder (BP-II) who participated in the Health Outcomes and Patient Evaluations in Bipolar Disorder (HOPE-BD) study. Sociodemographic characteristics and clinical features that had been previously associated with delayed diagnosis of BD were included in the analysis.

RESULTS

The median delay in diagnosis was 5.0 years in BD-I and 11.0 years in BD-II. Clinical factors such as earlier age of onset, lifetime suicide attempts and comorbid anxiety disorders were associated with a longer delay, whereas the presence of lifetime psychotic symptoms and psychiatric hospitalizations were associated with a shorter delay. Quantile regression analysis showed older age at which professional help was first sought and younger age of onset as predictors of increased delay in diagnosis of BD-I and BD-II. Depression as first episode predicted longer delay in diagnosis of BD-I but not BD-II.

CONCLUSION

Our findings identified the ongoing lag in identification of a BD diagnosis and the clinical markers most associated with this delay, highlighting the need for implementation of strategies for early identification and interventions in BD.

Violent suicide attempt history in elderly patients with bipolar disorder: The role of sex, abdominal obesity, and verbal memory: Results from the FACE-BD cohort (FondaMental Advanced center of Expertise for Bipolar Disorders)

BACKGROUND

Bipolar disorder (BD) is a chronic, lifelong condition, associated with increased risk of obesity, cognitive impairment, and suicidal behaviors. Abdominal obesity and a higher risk of violent suicide attempt (SA) seem to be shared correlates with older age, BD, and male sex until middle age when menopause-related female body changes occur. This study aimed at assessing the role of abdominal obesity and cognition in the violent SA burden of individuals with BD.

METHODS

From the well-defined nationwide cohort FACE-BD (FondaMental Advanced center of Expertise for Bipolar Disorders), we extracted data on 619 euthymic BD patients that were 50 years or older at inclusion. Cross-sectional clinical, cognitive, and metabolic assessments were performed. SA history was based on self-report.

RESULTS

Violent SA, in contrast to non-violent and no SA, was associated with higher waist circumference, abdominal obesity and poorer California Verbal Learning Test short-delay free recall (CVLT-SDFR) (ANOVA, p < .001, p = .014, and p = .006). Waist circumference and abdominal obesity were associated with violent SA history independently of sex, BD type and anxiety disorder (Exp(B) 1.02, CI 1.00-1.05, p = .018; Exp(B) 2.16, CI 1.00-4.64, p = .009, accordingly). In an exploratory model, waist circumference and CVLT-SDFR performance mediated the association between male sex and violent SA.

LIMITATIONS

Cross-sectional design and retrospective reporting.

CONCLUSIONS

Violent SA history was associated with abdominal obesity and poorer verbal memory in older age BD patients. These factors were interlinked and might mediate the association between male sex and violent SA.

Relationships of affective temperament ratings to diagnosis and morbidity measures in major affective disorders

BACKGROUND

Ratings of affective temperament types show promise in helping to differentiate diagnostic groups among major affective disorders as well as to predict associations with important aspects of morbidity including suicidal risk.

METHODS

The Temperament Evaluation of Memphis, Pisa, Paris, and San Diego auto-rating (TEMPS-A) questionnaire was completed by 858 unselected, consecutive, consenting adults diagnosed with a DSM-5 major affective disorder (173 bipolar-1 [BD-1]), 250 BD-2, 435 major depressive disorder [MDD]) to score for anxious (anx), cyclothymic (cyc), dysthymic (dys), hyperthymic (hyp), and irritable (irr) affective temperaments. We tested their associations with diagnosis and selected clinical factors, including diagnosis, depression scores, suicidal ideation or acts, substance abuse, episodes/year, and %-time ill.

RESULTS

Scores for cyc ranked: BD-2 > BD-1 > MDD; anx ranked: MDD > BD-2 > BD-1; irr was greater in BD than MDD; dys was greater in MDD than BD; hyp did not differ by diagnosis. We confirmed associations of suicidal risk with higher scores of all temperament types except lower hyp scores. Higher cyc and irr scores and lower anx scores were associated with substance abuse. Several scores were higher with measures of greater affective morbidity: cyc with current depression, episodes/year, and %-time ill; irr with more episodes and depressions/year and greater %-time manic. Some of these associations were selective for BD or MDD.

CONCLUSIONS

The findings indicate that TEMPS-A ratings of affective temperament types can contribute to differential diagnoses and predict types and amounts of affective morbidity, as well as detecting suicidal risks.

Mapping the steps to reach psychiatric care in Singapore: An examination of services utilized and reasons for seeking help

OBJECTIVE

The aim of this study is to shed light on the types of services utilized and map the steps taken by patients in their pathways to receiving psychiatric care in Singapore.

METHODS

Participants were outpatients who were recruited from a psychiatric tertiary hospital (n = 323). Pathways to psychiatric care form was administered to collect information on sources of care utilized, reasons for seeking help and the time point of each contact made. Pathways taken by patients to reach psychiatric care were mapped, and reasons for seeking help were reviewed and analyzed. Quantile regression was conducted to explore association between sociodemographic and clinical factors with duration between onset of problem and receiving psychiatric care.

RESULTS

The need to manage symptoms was most commonly endorsed by participants as the reason that first prompted them to seek help. Prior to receiving psychiatric care, participants on average obtained services from 1.2 other care providers and the main pathway to psychiatric services was via primary care and community services (37.2%). The median duration between onset of problem and receiving psychiatric care was 6 months, and age was found to be significantly associated with shorter median duration (β = -0.172, p = 0.009).

CONCLUSIONS

Patients often consult different care providers prior to obtaining psychiatric services and contact was made more frequently via primary care and community care providers. Findings from this study reiterate the need for engaging community partners to render timely and relevant support for individuals with mental health issues.

[Suicidal behaviors in bipolar disorder type 1]

OBJECTIVES

Bipolar disorder is one of the most common and severe psychiatric conditions. It is frequently complicated by suicidal behaviors, and patients with BD are among those at higher risk of suicide. The aims of our study were to evaluate the predictive factors of suicidal behaviors in patients with BD type 1, through the assessment of their socio-demographic, clinical and evolutionary characteristics as well as to study the implications of the childhood traumas and impulsivity as predictive factors for suicidal behaviors in these patients with bipolar disorder.

METHODS

One hundred patients with bipolar disorder type 1were recruited in order to conduct a cross-sectional, analytical and comparative study. The recruitment involved a first group made up of 40 patients suffering from type 1 bipolar disorder with a history of suicidal acts. This group was compared with a second group made up of 60 patients with no history of attempted suicide. We used a pre-established collection sheet for collecting socio-demographic, clinical and therapeutic data. We also used the Childhood Trauma Questionnaire for the assessment of childhood adversities, the Barratt Impulsivity Scale in its eleventh version for the assessment of impulsivity levels and the Global Assessment of Functioning Scale for the evaluation of overall functioning.

RESULTS

The suicidal behaviors in patients with bipolar disorder were significantly associated with: female gender (P<0.001), professional instability (P=0.002), family history of BD (P=0.02), family history of other psychiatric disorders (P=0.003), frequency of depressive episodes (P=0.002), shorter remission (P=0.025), more subsyndromal symptoms (P=0.029), sexual abuse dimension (P=0.009), and a high level of impulsivity (P<0.001). The predictive factors for suicidal behaviors in multivariate analysis, after adjusting for the confounding variables were: childhood sexual abuse (P=0.01; adjusted OR 4.5; 95% CI 1.44-14.2), a high level of impulsivity (P=0.002; adjusted OR 6.6; 95% CI 2-20), a higher rate of depressive episodes (P=0.003; adjusted OR 5; 95% CI 1.69-14.2) and more subyndromal symptoms (P=0.007; adjusted OR 5.8; 95% CI 1.63-20).

CONCLUSIONS

Suicide prevention is an important mental health subject. It would be imperative to include systematic screening for childhood adversities and adequate management of bipolar disorder and impulsivity.

Which factors delay treatment in bipolar disorder? A nationwide study focussed on duration of untreated illness

AIM

The aim of the present study was to detect factors associated with duration of untreated illness (DUI) in bipolar disorder (BD).

METHOD

A total of 1575 patients were selected for the purposes of the study. Correlation analyses were performed to analyse the relation between DUI and quantitative variables. The length of DUI was compared between groups defined by qualitative variables through one-way analyses of variance or Kruskal-Wallis's tests according to the distribution of the variable. Linear multivariable regressions were used to find the most parsimonious set of variables independently associated with DUI: to this aim, qualitative variables were inserted with the numeric code of their classes by assuming a proportional effect moving from one class to another.

RESULTS

An inverse significant correlation between length of DUI and time between visits in euthymic patients was observed (r = -.52, P < .001). DUI resulted to be longer in patients with: at least one lifetime marriage/partnership (P = .009), a first psychiatric diagnosis of major depressive disorder or substance abuse (P < .001), a depressive polarity of first episode (P < .001), no lifetime psychotic symptoms (P < .001), BD type 2 (P < .001), more lifetime depressive/hypomanic episodes (P < .001), less lifetime manic episodes (P < .001), presence of suicide attempts (P = .004), depressive episodes (P < .001), hypomanic episodes (P = .004), hospitalizations (P = .011) in the last year.

CONCLUSIONS

Different factors resulted to increase the length of DUI in a nationwide sample of bipolar patients. In addition, the DUI was found to show a negative long-term effect in terms of more suicidal behaviour, more probability of hospitalization and depressive/hypomanic episodes.

A Qualitative Exploration of the Views of Policymakers and Policy Advisors on the Impact of Mental Health Stigma on the Development and Implementation of Mental Health Policy in Singapore

Few studies have examined the views of policy makers regarding the impact of mental health stigma on the development and implementation of mental health policies. This study aimed to address this knowledge gap by exploring policymakers’ and policy advisors’ perspectives regarding the impact of mental health stigma on the development and implementation of mental health programmes, strategies, and services in Singapore. In all 13 participants were recruited for the study comprising practicing policymakers, senior staff of organisations involved in implementing the various mental health programmes, and policy advisors. Data was collected through semi-structured interviews, which were transcribed verbatim and analysed using reflexive thematic analysis. Data analysis revealed three superordinate themes related to challenges experienced by the policymakers/advisors when dealing with mental health policy and implementation of programmes. These themes included stigma as a barrier to mental health treatment, community-level barriers to mental health recovery, and mental health being a neglected need. Policymakers/advisors demonstrated an in-depth and nuanced understanding of the barriers (consequent to stigma) to mental healthcare delivery and access. Policymakers/advisors were able to associate the themes related to the stigma towards mental illness with help-seeking barriers based on personal experiences, knowledge, and insight gained through the implementation of mental health programmes and initiatives.

Diagnostic delay in ADHD: Duration of untreated illness and its socio-demographic and clinical predictors in a sample of adult outpatients

AIM

To investigate the Duration of Untreated Illness (DUI) and its socio-demographic and clinical predictors in a sample of adult ADHD outpatients.

METHODS

The DUI of 150 adult outpatients with a confirmed diagnosis of DSM-IV ADHD was calculated. Non-parametric tests were used to evaluate differences in DUI among subgroups and to build a correlation matrix. Subsequently, a multiple linear regression model was performed.

RESULTS

The median DUI was 17 years (interquartile range [IQR] = 14). DUI was longer in employed patients, those with a family history of ADHD, those with a history of major depressive disorder and those who had predominantly inattentive ADHD in childhood. The current age, age at administration of the first proper treatment and education level were correlated with DUI. Current age (63.3% of total variance), family history of ADHD and the presence of a predominantly inattentive type in childhood (together, 2.6% of total variance) were all predictors of DUI.

CONCLUSIONS

Information programmes for caregivers and training for health care professionals should be promoted to foster the early recognition of covert inattentive symptoms and shorten DUI.

Variation in rostral anterior cingulate functional connectivity with amygdala and caudate during first manic episode distinguish bipolar young adults who do not remit following treatment

OBJECTIVES

Altered activity in the ventrolateral prefrontal and anterior cingulate cortices, as well as subcortical and amygdala projection sites, was previously reported during a first manic episode in youth with bipolar disorder and observed to be associated with treatment response. To extend these findings, we investigated functional connectivity among these regions in first-episode manic participants who remitted after 8 weeks of treatment compared to those who did not.

METHODS

Forty-two participants with bipolar disorder (60% female) during their first manic episode were recruited and received 8 weeks of treatment. Twenty-one remitted following treatment. Participants completed fMRI scans, at baseline and following 8 weeks of treatment, while performing a continuous performance task with emotional and neutral distractors. A healthy comparison group (n = 41) received fMRI evaluations at the same intervals. Differences in functional connectivity of the amygdala and caudate with the rostral anterior cingulate and ventrolateral prefrontal cortices at baseline (and changes in functional connectivity following treatment) were modeled between groups.

RESULTS

At baseline, non-remitters showed an increase in positive connectivity between right anterior cingulate and caudate and a loss of negative connectivity between right anterior cingulate and amygdala, compared to healthy participants. Individuals who remitted following treatment showed an increase in negative connectivity between amygdala and left anterior cingulate 8 weeks following treatment.

CONCLUSIONS

Results provide evidence of alterations in anterior cingulate amygdala and caudate functional connectivity in bipolar disorder non-remitters during a first manic episode and changes in anterior cingulate functional connectivity associated with remission suggesting targets to predict treatment response. Registered at ClinicalTrials.Gov; Functional and Neurochemical Brain Changes in First-episode Bipolar Mania. NCT00609193. URL: https://clinicaltrials.gov/ct2/show/NCT00609193?term=strakowskirank=1.

Development, item analysis, and initial reliability and validity of three forms of a multiple-choice mental health literacy assessment for college students (MHLA-c)

Despite increasing rates of mental health disorders among college students, there are a limited number of validated mental health literacy measures that can be quickly administered and scored in this population. We developed a 54-item multiple-choice measure, consisting of three forms with 18 items on each form. Our items focus on knowledge of more than 20 mental health disorders including their etiology, risk factors, diagnoses, symptoms, treatment, course, and outcome, as well as the application of this knowledge to real world situations. Data were collected on three independent samples of undergraduate students enrolled at an urban public university system in the northeast United States: pilot (n=292), test refinement (n=1,272), and validation (n=683). Basic demographics for the combined test refinement and validation samples were: age=22 ± 4.9 years; 62.2% female; 71.7% non-White. We report on the development of the Mental Health Literacy Assessment-college (MHLA-c) and provide support for its reliability and validity. We also provide descriptive statistics, stratified by gender, college major, and personal experience with a mental health issue to enable its use in diverse settings. The MHLA-c may be useful in measuring knowledge of mental health disorders and related topics among college students. Moreover, the availability of parallel forms will facilitate its use within educational or interventional studies that employ pre-post testing designs.

Pre-diagnostic and post-diagnostic psychopharmacological treatment of 16 288 patients with bipolar disorder

OBJECTIVES

The aim was to describe the pre-diagnostic and post-diagnostic psychopharmacological treatment of bipolar disorder over the past two decades.

METHODS

We identified all 16 288 individuals aged ≥ 18 years, who received their first diagnosis of bipolar disorder at a psychiatric hospital in Denmark between 1997 and 2014. For each calendar year, we calculated the proportion of patients (with index date in the respective calendar years) who were prescribed psychopharmacological treatment in the 2 years preceding and the 2 years following the date of the first diagnosis of bipolar disorder. For patients diagnosed with bipolar disorder from 2007 to 2010 (n = 3949), we described the psychopharmacological treatment from 1995 to 2016, that is, from up to 16 years prior to and up to 10 years after the diagnosis.

RESULTS

Concomitant use of ≥ 2 antidepressants in the 2 years preceding the bipolar disorder diagnosis increased over the study period. In the 2 years following the diagnosis, the use of lithium decreased, while use of atypical antipsychotics (particularly quetiapine), valproate, and lamotrigine increased over the study period. During the 10 years following the diagnosis, 53%-90% of the patients received any psychotropic drug while 12%-26% received treatment with an antidepressant without overlapping treatment with a mood-stabilizing drug.

CONCLUSION

The increased use of two or more antidepressants suggests more focus on bipolar disorder as a differential diagnosis to treatment-resistant unipolar depression. The decreased use of lithium (consistent with international trends) and the prevalent use of antidepressants without overlapping treatment with a drug with mood-stabilizing properties are concerning.

TEMPS-A (short version) plays a supplementary role in the differential diagnosis between major depressive disorder and bipolar disorder

AIM

Early differential diagnosis between patients with major depressive disorder (MDD) and bipolar disorder (BD), and subsequently providing appropriate treatments are essential. There has been increased interest regarding the association between affective temperaments and mood disorder diagnosis. Our aim was to analyze the diagnostic validity of affective temperaments assessed by the short version of the Temperament Evaluation of Memphis, Pisa, Paris and San Diego-autoquestionnaire version (TEMPS-A), in mood disorder patients.

METHODS

Inpatients with MDD (n = 146) or BD (n = 128) completed the short version of TEMPS-A, and their depressive and manic symptom severities were evaluated. Data of MDD and BD patients were compared by univariable and multivariable analyses.

RESULTS

Of the five affective temperament dimensions, substantially higher hyperthymic, irritable, and cyclothymic temperament scores were found in BD patients than in MDD patients. Using a multivariable logistic regression model built using the severities of depressed and manic conditions, and the five affective temperament subscale scores as independent variables, we identified two factors statistically associated with BD diagnosis (anxious temperament and cyclothymic temperament). The recommended cutoff point for the 12 items evaluating cyclothymic temperament to differentiate BD from MDD was 8 or more 'True' items (sensitivity: 35.9%, specificity: 87.7%).

LIMITATIONS

Our design was cross-sectional, and therefore, there was a possibility of longitudinal diagnostic conversion of patients from MDD to BD.

CONCLUSION

Cyclothymic and anxious temperaments on the short version of TEMPS-A, identified as diagnostic differentiating factors between MDD and BD, may play supplementary roles in the early identification of BD.

Impact of duration of untreated illness in bipolar I disorder (manic episodes) on clinical outcome, socioecnomic burden in Egyptian population

INTRODUCTION

Bipolar disorder (BD) is a serious and chronic mental illness that may result in disability. We evaluated effect of the duration of untreated of bipolar (DUB) (manic episodes) on clinical outcomes, including episode severity, residual symptoms, duration of hospitalization, and suicide attempts, and on socioeconomic status of patients.

METHODS

A total of 216 participants who had bipolar I disorder (manic state) recruited from November 2017-December 2019 from an inpatient psychiatric unit. Patients divided into 2 groups based on DUB: Group A, with DUB < 4 months; and Group B, with DUB ≥4 months. All participants had evaluation for demographic and clinical features, Socioeconomic scale, Young mania rating scale (YMRS) at admission and discharge.

RESULTS

Group A participants were more often male, urban residents, married, literate and educated, professionally employed. Group A had a younger age of onset, less duration of illness, less frequency of episode, less suicide attempts, less duration in hospital, high mean of socioeconomic, lower mean of YMRS at admission and discharge in compared to Group B.

CONCLUSION

A longer DUB (manic episodes)was associated with negative clinical outcomes (more frequent episode, more symptoms severity, longer hospital admission, more suicide severity, more residual symptoms) and low socioeconomic state of patients with BDI (manic episodes).

Effects of psychological and pharmacological interventions on anxiety symptoms in patients with bipolar disorder in full or partial remission: A systematic review

BACKGROUND

Anxiety symptoms are prevalent in bipolar disorder (BD) even during periods of remission and impede treatment efficacy, prognosis and functional capacity. This highlights a pressing clinical need to identify novel effective anxiety treatments. This systematic review aimed to evaluate the evidence within the field.

METHODS

Following PRISMA guidelines, we conducted a systematic search on PubMed, PsycInfo, EMBASE and Cochrane Library for randomised controlled trials (RCTs) targeting anxiety in remitted BD patients.

RESULTS

We identified 10 RCTs investigating the effects of psychological or pharmacological treatments on anxiety in remitted BD patients. Two studies of transdiagnostic personalised cognitive behavioural therapy (CBT) found a treatment-related reduction in anxiety. This evidence was preliminary given small sample size and use of self-report measures in a single-blind trial design, respectively. The remaining six psychological intervention trials provided more preliminary evidence due to several methodological challenges. The two pharmacological studies found anxiolytic effects of add-on olanzapine or methylene blue to lithium treatment, respectively. Nevertheless, this evidence should be interpreted with caution given high drop-out rates and substantial side-effects that may have impeded blinding.

LIMITATIONS

We did not conduct a quantitative meta-analysis.

CONCLUSIONS

There is preliminary evidence for beneficial effects of modified CBT and add-on pharmacotherapy on residual anxiety in BD. Future trials should pre-screen participants for anxiety, define one clinician-rated anxiety measurement as a primary outcome, and employ intention-to-treat analysis to assess treatment effect. This will advance treatment development and enable personalised approaches to address residual anxiety in BD, which has great clinical relevance.

Are Demoralization and Insight Involved in Suicide Risk? An Observational Study on Psychiatric Inpatients

INTRODUCTION

Several features contribute to determining suicide risk. This study was designed with the aim of evaluating whether insight into illness and demoralization are involved in suicide risk (active suicidal ideation or behavior).

METHODS

For this purpose, in a sample of 100 adult psychiatric inpatients, we used the Columbia Suicide Severity Rating Scale to assess suicide risk, the Demoralization Scale for demoralization symptoms, and the Insight Scale to assess illness insight. We also investigated several demographic and clinical features, including gender, age, duration of untreated illness, previous suicide attempts, and nonsuicidal self-injurious behavior.

RESULTS

The results demonstrated that patients with higher scores on the insight-high dimension had 1.35 greater odds of having a higher suicide risk, and those with lifetime suicide attempts had 7.45 greater odds of having a higher suicide risk. Among the various clinical factors, the study indicated that only nonsuicidal self-harm behaviors in the last 3 months was a risk factor for suicide risk.

CONCLUSIONS

The results indicated that greater illness insight is involved in suicide risk regardless of demoralization.

Involvement of Kynurenine Metabolism in Bipolar Disorder: An Updated Review

Bipolar disorder (BD) is a severe affective disorder, mainly characterized by alternative depressive and manic or hypomanic episodes, yet the pathogenesis of BD has not been fully elucidated. Recent researches have implicated the altered kynurenine (KYN) metabolism involved in the neurobiology of BD. Excessive activation of the immune system also occurs in patients with BD, which further accelerates the KYN pathway for tryptophan metabolism. Changes of the KYN metabolites have effects on neuronal receptors and are involved in neuroendocrine transmissions. Interactions between KYN metabolism and the immune system may contribute to the neuropathogenesis of BD. Various studies have shown that alterations of the KYN metabolites were associated with mood, psychotic symptoms, and cognitive functions in patients with BD. In this review, we briefly introduce the KYN pathway and describe the immune dysregulation in BD as well as their interactions. We then focus on the research advances on the KYN metabolism in BD, which hold promise for identifying novel treatment targets in patients stricken with this disorder.

The Rapid Mood Screener (RMS): a novel and pragmatic screener for bipolar I disorder

OBJECTIVE

Depressive episodes and symptoms of bipolar I disorder are commonly misdiagnosed as major depressive disorder (MDD) in primary care. The novel and pragmatic Rapid Mood Screener (RMS) was developed to screen for manic symptoms and bipolar I disorder features (e.g. age of depression onset) to address this unmet clinical need.

METHODS

A targeted literature search was conducted to select concepts thought to differentiate bipolar I from MDD and screener tool items were drafted. Items were tested and refined in cognitive debriefing interviews with individuals with self-reported bipolar I or MDD (n = 12). An observational study was conducted to evaluate predictive validity. Participants with clinical interview-confirmed bipolar I or MDD diagnoses (n = 139) completed a draft 10-item screening tool and other questionnaires. Data were analyzed to identify the smallest possible subset of items with optimized sensitivity and specificity.

RESULTS

Adults with confirmed bipolar I (n = 67) or MDD (n = 72) participated in the observational study. Ten draft screening tool items were reduced to 6 final RMS items based on the item-level analysis. When 4 or more items of the RMS were endorsed ("yes"), sensitivity was 0.88 and specificity was 0.80; positive and negative predictive values were 0.80 and 0.88, respectively. These properties were an improvement over the Mood Disorder Questionnaire in the same analysis sample while using 60% fewer items.

CONCLUSION

The pragmatic 6-item RMS differentiates bipolar I disorder from MDD in patients with depressive symptoms, providing real-world guidance to primary care practitioners on whether a more comprehensive assessment for bipolar I disorder is warranted.

Manic-Depressive Cycles in Bipolar Disorder: Clinical and Treatment Implications

INTRODUCTION

Cycle patterns of bipolar disorders (BDs) have been previously shown to be associated with clinical characteristics and response to lithium salts. Here, we evaluated the distribution of different types of manic-depressive cycles in a large sample of patients with BD. The associations between a mania-depression-interval (MDI) course and depression-mania-interval (DMI) course with sociodemographic/clinical factors were also assessed in order to define specific clinical profiles.

METHODS

In this cross-sectional study, 806 patients with BD admitted to the Psychiatric Unit of San Luigi Gonzaga Hospital in Orbassano and Molinette Hospital in Turin, Italy, were recruited. Patients were grouped according to the following course patterns: MDI, DMI, continuous cycling (CC, <4 episodes/year without intervals), rapid cycling (RC, ≥4 episodes/year), and irregular (IRR) cycling. We compared several sociodemographic and clinical variables in an MDI versus DMI course by means of ANOVA and Pearson χ2 with Bonferroni correction.

RESULTS

Bipolar cycles were distributed as follows: 50.2% IRR course, 31.5% MDI course, 16% DMI course, 1.2% CC, and 1% RC. Compared to DMI course, patients with an MDI course were more often men, younger, with an earlier onset, a manic polarity onset, and more lifetime compulsory admissions. They were more frequently treated with lithium and antipsychotics. Patients with a DMI course had older age at diagnosis and at first mood-stabilizer treatment and were more often misdiagnosed with a major depressive disorder. These patients were more commonly treated with anticonvulsants, and they had more frequently failed treatment trials with lithium salts in the past.

CONCLUSION

This study supports the utility of classifying BD according to their course patterns. This classification holds prognostic as well as therapeutic implications.