The effect of lithium on tubular functions leading to decreased urinary concentrating ability is recognized. Although there are several studies type, severity and frequency of renal impairment and its correlation with duration of lithium therapy are not well established.

To explore long-term effects of lithium on patients with chronic bipolar disorder.

We aimed to assess patients with bipolar disorder using lithium at least for six years in terms of renal functions, starting from mild impairments to full blown chronic renal failure.

Fifty-one patients with bipolar disorder and 38 age and sex matched healthy controls were enrolled for the study. Serum BUN, creatinine, uric acid, electrolytes, calcium (Ca), phosphorus (P), vitamin D (25-OH D3) and eGFR levels were measured. The correlations between renal function and mean lithium levels, duration of lithium treatment and GAF scores were calculated.

Mean eGFR level of patients with bipolar disorder was significantly lower than that of controls. Serum creatinine, uric acid, Ca and PTH levels were higher, 25-OH D3 levels were lower in the patients than in controls. The duration of lithium treatment was positively correlated with serum creatinine and uric acid levels, negatively correlated with eGFR levels. Mean lithium levels were positively correlated with serum creatinine levels and negatively correlated with eGFR.

The study revealed that glomerular functioning of the patient group was significantly lower than that of the control group. The findings suggested that both duration of lithium treatment and high serum lithium levels may have a negative impact on glomerular functions.

The authors have not supplied their declaration of competing interest.

For women with bipolar disorder, childbirth is a high-risk period with 40–50% experiencing a recurrence and 20% developing a severe episode of postpartum psychosis. Bipolar episodes in the perinatal period affect women and their families.

Managing bipolar disorder in pregnancy and postpartum is a challenge. There is lack of literature to inform that and an urgent need for more data.

To develop and validate a risk prediction model for individual prognosis of the risk of recurrence of bipolar disorder for women in the perinatal period.

To provide evidence-based information to help women and the clinicians that look after them make decisions about their care, taking into account the most recent scientific knowledge and their individual characteristics.

The development of the model will be done in retrospective data from a large clinical cohort from the Bipolar Disorder Research Network (BDRN.org). The validation will be done in a prospectively recruited sample.

Participants will be 2181 parous women with a lifetime diagnosis of bipolar disorder from BDRN and 300 prospectively recruited pregnant women with a history of postpartum psychosis or bipolar disorder.

Predictors will be chosen based on clinical experience and literature, from data collected via semi-structured interview (in pregnancy and 3 months postpartum, medical and psychiatric notes) e.g. medication, smoking, parity, obstetric complications and sleep.

N/A.

We will present the full prediction model (regression coefficients and model intercept) and report performance measures (with CIs).

We will discuss its potential clinical use and implications for future research.

The authors have not supplied their declaration of competing interest.

The perinatal period is a high-risk period for the development of illness episodes in women with bipolar disorder. Relapse rates vary between 9 and 75% depending on the study. The overall risk of a severe episode is approximately 20%. The impact on women, the relationships with their babies and their families can be devastating. In the UK costs to society are £8.1 billion per year-cohort of births. The advice currently given to women is based of general risk rates. Women's needs of information for decision-making in the perinatal period are not being met.

To review the risk prediction approaches used for women with bipolar disorder in the perinatal period.

To understand the existing risk prediction models and approaches used for prognosis of the risk of recurrence of bipolar disorder for women in the perinatal period.

Systematic literature search of public medical electronic databases and grey literature on risk prediction for bipolar episodes in the perinatal period.

We will present the existing models and approaches used for risk prediction of illness episodes in the perinatal period.

Awareness of existing risk prediction models for recurrence of bipolar disorder in the perinatal period will allow better informed risk-benefit analysis of treatment and management options.

This person-centred approach will help women and clinicians in their decision-making at this crucial high-risk period.

The authors have not supplied their declaration of competing interest.

Bipolar disorder (BD) is related to high prevalence of somatic comorbidities, health care costs, and premature mortality [1]. Some evidence supports the view of BD as chronic, progressive and multisystem disorder in which not only mental system, but also somatic systems are involved [2].

To investigate differences in physical health in patients with bipolar disorder at different stages (early vs. late) of the disease.

Cross-sectional, naturalistic, multicenter study. Sample: 110 outpatients with BD [68 early stage (diagnosed at least 5 years earlier) and 42 late stage (at least 20 years earlier)]. Assessment: demographic and clinical variables; psychopathology: HDRS, YMRS and CGI; biological information: anthropometric, vital signs and lab results.

Early stage group: mean age 40.1 (11.9), 66.2% females and CGI = 3.6 (1.4). Late stage group: mean age 55.8 (8.2), 69.0% females and CGI = 4.0 (1.4). Patients in early stage have significantly higher levels of glucose (t = −4.007, P < 0.001), urea (t = −2.724, P = 0.008), creatinine (F = 0.560, P = 0.022), triglycerides (t = −3.501, P = 0.001), Fe (t = 2.871, P = 0.005) and insulin (t = −3.223, P = 0.002). Moreover, they have higher Body Max Index (BMI) (t = −3.728, P < 0.000), abdominal circumference (t = −4.040, P < 0.000) and greater number of somatic comorbidities (t = −2.101, P = 0.041).

– patients with bipolar disorders in late stages have worse physical health than those in early stage.

– these results could be an indication that bipolar disorder might better viewed as a multisystem disorder.

The authors have not supplied their declaration of competing interest.

Bipolar disorders (BP) with late onset are underestimated by their frequency, their misleading presentations and therapeutic difficulties due to the high prevalence of somatic comorbidities.

To identify sociodemographic, clinical and therapeutic characteristics in subjects with a late-onset BP.

Retrospective and comparative study of 101 patients followed for a BP (12 patients with BP started after 50 years and 89 patients with BP started earlier) from 2009 to 2015, in the department of psychiatry of the University Hospital Farhat Hached, Sousse, Tunisia.

The mean age of subjects with late-onset TBP was 46.11 ± 12.85 years. Women were in the majority (65.3%). Ten patients had a novo mania, four patients had a late-onset mania and one patient had a secondary mania. Regarding the socio-demographic data, only the regular professional activity was more reported in the elderly (P = 0.017). Regarding clinical data, BP type 1 and secondary mania were more reported in elderly with (P = 0.050 and P = 0.000 respectively). Elderly had significantly fewer depressive episodes (P = 0.026), fewer hypomanic episodes (P = 0.000). The durations of the latest episodes and the last intervals were shorter in elderly (P = 0.045 and P = 0.000). Concerning therapeutic data, elderly had fewer hospitalizations (P = 0.045), required lower mean doses of lithium (P = 0.04) and greater mean doses of tricyclic antidepressants (P = 0.047).

It is always necessary to look for an organic cause in manic syndrome in late-onset BP. Doses of lithium should be lower. However, doses of TAD should be higher.

The authors have not supplied their declaration of competing interest.

Evidence has suggested that immune imbalance is involved with bipolar disorder (BD); however, its precise mechanism is poorly understood.

This study investigated whether biochemical changes in the serum from BD patients could modulate the phenotype of macrophages.

Eighteen subjects with BD and healthy individuals (n = 5) were included in this study. The human monocyte cell line U-937 was activated with PMA (phorbol 12-myristate 13-acetate) and polarization was induced with RPMI-1640 media supplemented with 10% serum from each patient for 24 h. Gene expression of selected M1 and M2 markers was assessed by qPCR.

Macrophages exposed to serum of manic and depressive BD patients displayed an increase of IL-1β (6.40 ± 3.47 and 9.04 ± 5.84 versus 0.23 ± 0.11; P < 0.05) and TNF-α (2.23 ± 0.91 and 2.03 ± 0.45 versus 0.62 ± 0.24; P = 0.002 and P = 0.004, respectively) compared to remitted group. In parallel, U-937 macrophages treated with serum of patients in acute episode displayed a down-regulation of CXCL9 (0.29 ± 0.20 versus 1.86 ± 1.61; P = 0.006) and CXCL10 expression (0.36 ± 0.15 and 0.86 ± 0.24 versus 1.83 ± 0.88; P < 0.000 and P = 0.04) compared to remitters.

Our results are consistent with previous studies showing that changes in peripheral blood markers could modulate M1/M2 polarization in BD. The evidence of macrophages as source of inflammatory cytokines might be helpful to unravel how the mononuclear phagocyte system can be involved in the etiology of BD.

The authors have not supplied their declaration of competing interest.

Cognitive deficits impair patients working and functioning status and may have negative impact on other aspects of thinking.

Assess the prevalence of cognitive dysfunction in patients with bipolar disorder in euthymic state and to explore cognitive style problems.

Case-control naturalistic study, 60 patients with bipolar I disorder in euthymic state according to DSM-IV were recruited and subdivided into two groups each contains of 30 patients; (Group BPM) euthymic patients with recent manic episode, Group BPD euthymic patients with recent depressive episode. Both groups were further compared with control group (Group C) consisted of 30 frequency matched healthy volunteers. Groups were subjected to the following: (1) clinical psychiatric examination, (2) (HAMD-17) and Bech–Rafaelsen Melancholia Scale (MES) for (BPD), (3) (YMRS) and Bech–Rafaelsen Mania Scale (MAS) for (BPM), (4) assessment of euthymic state of mood included both MAS and MES, (5) MMSE, MTS and CDT were performed to assess cognitive functions, (6) cognitive styles evaluation the Social Dysfunction and Aggression Scale SDAS-9 and Arabic Anger Scale.

Definite cognitive function impairment and different patterns of cognitive style were detected in case groups. MMSE, MTS and CDT scores were statistically significant. Fear of Failure Scale Scores were higher in BPM; 16 (53.33%) reported severe intensity compared to 16 (53.33%) of BPD Group reporting moderate intensity and 30 (100%) of the control group reporting only mild intensity of fear of failure with statistically significant differences.

Patients in euthymic state suffer from cognitive dysfunction and some aspects of cognitive styles that negatively interfere with their performance.

The authors have not supplied their declaration of competing interest.

Studies have shown that beliefs, attitudes and knowledge towards bipolar disorder are influenced by country-specific social and cultural factors. Our study aims to improve and assess public beliefs, knowledge and attitude towards bipolar disorder in Pakistan.

We targeted 500 population. A questionnaire was organized into four sections in order to investigate knowledge about bipolar disorder, attitudes and beliefs, treatment options and fighting stigma and help seeking attitudes.

Of the 500 participants, 28% people were aware of exact definition of bipolar disorder. A widespread belief (85%) was that people suffering from bipolar disorder should avoid talking and telling about their illness. According to 50% respondents people experiencing bipolar disorder “are dangerous to others”, 68% population viewed it as a result of black magic. Sixty-five per cent thought that the best way to recover from bipolar disorder consisted in seeking help from Psychiatrist. Twenty per cent thought to take help from religious people and shrines. Most of people seemed convinced that drugs are addictive (70%) and may cause serious side effects (80%).

Mental health illness including bipolar disorder can be improved by the positive influence of education, employment availability, respect, social support, rehabilitative services, justice and equity. Lack of education, stigmatization, and cultural norms are the leading barriers towards.

The author has not supplied his/her declaration of competing interest.

Bipolar disorder (BD) is associated with an impaired glucose metabolism (IGM) leading to diabetes mellitus Type II (DM). DM influences the medical state of BD individuals and leads to increased mortality. However, there is evidence that IGM is associated with psychiatric symptoms, as well.

The study aimed to investigate the association between IGM and number of episodes and their ratio in individuals with BD, separated for gender.

HbA1c levels from fasting blood were measured of 162 individuals (46% females) with BD. Furthermore, clinical parameters e.g. number of depressive and (hypo)manic episodes were gathered.

After adjustment for illness duration and BMI there was a positive correlation in male individuals between HbA1c and number of depressive (M = 13.86, SD = 14.67; r = .308, P < 0.05) as well as (hypo)manic episodes (M = 17.23, SD = 24.24; r = 0.263, P < 0.05). There was no association in females as well as between HbA1c levels and ratio of episodes.

Associations between HbA1c and number of episodes in male individuals with BD were found. As there are correlations between IGM and somatic comorbidities as well as the course of illness the treatment of glucose metabolism is important in BD. However, number of episodes might have an impact on the glucose metabolism due to inflammation processes, but further investigations have to focus on the direction of the found correlation. As gender differences are known in different pathways, they should be considered in research, diagnosis and therapy.

The author has not supplied his/her declaration of competing interest.

Gender differences in bipolar disorder are becoming apparent, but have been less studied compared with major depression. The presentation, clinical features, course and evolution of bipolar disorder differ between men and women. Research data on these differences will help determine whether gender is important in influencing illness variables.

Determine whether men and women with bipolar disorder have statistical significant differences in socio-demographic and clinical data.

Charts of all patients with a diagnosis of bipolar disorder admitted in the Coimbra Hospital and Universitary Center over a three-year period (between 2013 and 2015) were reviewed to gather data on socio-demographic, clinical and psychopathological variables to assess differences across genders. Statistical analysis of data with “SPSS21”.

During a three-year period, 189 patients were admitted with bipolar disorder, the majority were female patients, with ages between 21 and 84 years old. The authors will analyse if there is any statistical significant difference between gender in the rate of bipolar I or II diagnoses, age at onset, symptom presentation, delay in diagnoses, number of depressive, or manic episodes, hospitalisations, involuntarily admissions, number of suicide attempts, co-morbidity rates, negative life events, family history and treatment options. Sociodemograpic characteristics will also be analysed.

Gender differences in bipolar disorder is a controversial issue in the literature. The importance of gender on the course and outcome in bipolar disorder has been widely acknowledged. The limited data suggest that the prevalence is similar between sexes but that the course of illness may be different.

The authors have not supplied their declaration of competing interest.

Type I and type II classification of bipolar disorder (BD) may not provide useful information to the clinician regarding epidemiological and clinical correlates.

New classifications have recently been proposed, such as the Predominant Polarity (PP) classification, which is based on the tendency of the patient to relapse in the manic (Manic Predominant Polarity [MPP]) or the depressive (Depressive Predominant Polarity [DPP]) poles along the course of the disease.

To explore the epidemiological and clinical correlates of PP.

We performed a search of the PubMed and Web of Science databases up to June 1st 2016, using the keywords “bipolar disorder”, “polarity” and “predominant polarity”.

The initial search identified 1598 articles. Only 17 articles met inclusion criteria. Factors associated with MPP are manic onset, history of drug abuse and a better response to atypical antipsychotics and mood stabilizers. Meanwhile DPP is associated with depressive onset, more relapses, longer acute episodes, and a higher risk of suicide. Moreover, delay until diagnosis, mixed episodes and comorbid anxiety disorders are more prevalent in DPP patients, whose treatment often involves quetiapine and lamotrigine.

Few prospective studies. Variability of results.

PP classification may be useful for the clinical management of BD. Further research in this field is needed. Future research should use standardized definitions and more comparable methods.

The authors have not supplied their declaration of competing interest.

Bipolar disease is a chronic mental illness with a deep personal and social impact. Alongside with the considerable progress in understanding and treating bipolar disorder, and despite the growing interest in geriatric psychiatry, late onset bipolar disorder has been relatively little studied so far.

To review the literature regarding the epidemiology, characteristics and clinical implications of late onset bipolar disorder.

A literature review was performed by searching articles in Pubmed, using the following search terms: “late onset bipolar disorder” and “elderly bipolar disorder”. All literature in English published in the last 15 years was examined and 11 articles were selected.

Although the frequency of bipolar disorder type 1 or 2 decrease with age, approximately 6 to 8% of the new cases of bipolar disorder develop in people over 60 years of age. Clinically, late-onset bipolar disorder appears to be associated with a better level of pre-morbid functioning, a less severe psychopathology as well as a smaller family burden of psychiatric illness. The term “secondary mania” postulated by Krauthmamer Klerman has been used to describe a bipolar disease variant associated with a variety of organic factors that may be responsible for this late-onset disease.

Late onset bipolar disorder is probably a different diagnostic than the entity that occurs in younger patients, since it presents with a different clinical presentation. It is a heterogeneous disease with a complex etiology that still needs more research.

The authors have not supplied their declaration of competing interest.

Cognitive reserve (CR) reflects the capacity of the brain to endure neuropathology, minimize clinical manifestations and successfully complete cognitive tasks. The present study aims to determine whether high CR may constitute a moderator of cognitive functioning in bipolar disorder (BD).

One hundred and two patients with BD and 32 healthy controls were enrolled. All patients met DSM-IV criteria for I or II BD and were euthymic (YMRS ≤ 6 and HDRS ≤ 8) during a 6-month period. All participants were tested with a comprehensive neuropsychological battery, and a Cerebral Reserve Score (CRS) was estimated. Subjects with a CRS below the group median were classified as having low CR, whereas participants with a CRS above the median value were considered to have high CR.

Participants with BD with high CR displayed a better performance in measures of attention (digits forward: F = 4.554, P = 0.039); phonemic and semantic verbal fluency (FAS: F = 9.328, P = 0.004; and Animal Naming: F = 8.532, P = 0.006); and verbal memory (short cued recall of California Verbal Learning Test: F = 4.236, P = 0.046), after multivariable adjustment for potential confounders, including number of admissions and prior psychotic symptoms.

High cognitive reserve may therefore be a valuable construct to explore for predicting neurocognitive performance in patients with BD regarding premorbid status.

Dr. I. Grande has received a Juan Rodés Contract (JR15/00012), Instituto de Salud Carlos III, Spanish Ministry of Economy and Competiveness, Barcelona, Spain and has served as a consultant for Ferrer and as a speaker for AstraZeneca, Ferrer and Janssen-Cilag.

Dr. I. Grande has received a Juan Rodés Contract (JR15/00012), Instituto de Salud Carlos III, Spanish Ministry of Economy and Competiveness, Barcelona, Spain and has served as a consultant for Ferrer and as a speaker for AstraZeneca, Ferrer and Janssen-Cilag.

To assess cognitive function in older euthymic bipolar patients. To investigate the relationship between cognitive disorders and clinical features in this population.

We conducted a cross-sectional study during the period from August to November 2015. It included 34 stable bipolar outpatients, aged at least 65 years. We used the Montreal Cognitive Assessment (MoCA) to screen for cognitive disorders. Our patients were clinically euthymic, as checked by the Hamilton depression scale and the Young mania scale.

The sex ratio was 1. The mean age of our patients was 68.2 years. Most of them were married (82.4%), unemployed (55.8%), living in urban area (82.4%), had low educational level (58.8%) and low income (64.7%).

The majority was bipolar type 1 (67.6%). The most recent episode was manic in 55.9% of cases, including psychotic features in 50% of cases. Subsyndromal affective symptoms were noted between episodes in 23.5% of them. The average MoCA score was 23.6. Cognitive disorders were found in 61.5% of patients, who showed impairments across all cognitive domains. The most frequent deficits were found in attention (100%) and executive functions (85.3%).

Cognitive dysfunction correlated to psychotic features during the last episode (P = 0.005), subsyndromal affective symptoms between episodes (P = 0.13), high number of mood episodes (P = 0.007) and hospitalisations (P = 0.014).

Our study confirmed that cognitive dysfunction was frequent in older bipolar patients in Tunisia. Preventing mood episodes, screening for addictive and somatic comorbidities, as well as cognitive rehabilitation, are suitable strategies for improving cognitive functioning among these patients.

The authors have not supplied their declaration of competing interest.

Many studies on the identification and early treatment of psychotic disorders have focussed less on a solution to the issue of the evolution of an acute psychosis.

To identify some predictive elements of an evolution to bipolar disorder during a first psychotic episode.

We proceed with a retrospective study concerning 55 patients having developed a first psychotic episode and admitted in the psychiatry B department during the period extending between January 2010 and December 2015. Data were collected on a predetermined questionnaire exploring the following items (socio-demographic data, personal and psychiatric family antecedent, prodromes and psychotic episode symptomatology).

Our sample was composed by 55 patients divided into 74% (n = 41) men and 26% (n = 14) women with a mean age of 26.5 ± 6.27 years. The evolution to a bipolar mood disorder concerned 22% of patients. The prodromal phase was always present. Prodromes correlated with progression to bipolar disorder are: thymic symptoms 44.1% of patients (P = 0.001), modification of volition 42.9% (P = 0.05), anger/irritability 66.7% (P = 0.032) and sadness 83.3% of patients (P = 0.05). Psychotic episode's symptoms correlated with the evolution towards a bipolar disorder corresponded to thymic symptoms. The latter was present in 44.1% of patients (P = 0.01).

Through our study, we were able to identify some factors positively correlated with a progression towards bipolarity during a first psychotic disorder. So it would be important to monitor closely and to educate our patients and their families about the evolutionary potential of a first psychotic episode.

The authors have not supplied their declaration of competing interest.

Emotional face recognition is significant for social communication. This is impaired in mood disorders, such as bipolar disorder. Individuals with bipolar disorder lack the ability to perceive facial expressions.

To analyse the capacity of emotional face recognition in subjects diagnosed with bipolar disorder.

To establish a correlation between emotion recognition ability and the evolution of bipolar disease.

A sample of 24 subjects were analysed in this trial, diagnosed with bipolar disorder (according to ICD-10 criteria), who were hospitalised in the Psychiatry Clinic of Timisoara and monitored in outpatients clinic. Subjects were introduced in the trial based on inclusion/exclusion criteria. The analysed parameters were: socio-demographic (age, gender, education level), the number of relapses, the predominance of manic or depressive episodes, and the ability of identifying emotions (Reading the Mind in the Eyes Test).

Most of the subjects (79.16%) had a low ability to identify emotions, 20.83% had a normal capacity to recognise emotions, and none of them had a high emotion recognition capacity. The positive emotions (love, joy, surprise) were easier recognised, by 75% of the subjects, than the negative ones (anger, sadness, fear). There was no evident difference in emotional face recognition between the individuals with predominance of manic episodes than the ones who had mostly depressive episodes, and between the number of relapses.

The individuals with bipolar disorder have difficulties in identifying facial emotions, but with no obvious correlation between the analysed parameters.

The authors have not supplied their declaration of competing interest.

There are very few comparative controlled trials of risperidone versus olanzapine in manic patients. No previous naturalistic study has compared the efficacy of these two antipsychotics in the natural environment of manic inpatients.

The aim of this retrospective and naturalistic study was to evaluate the efficacy of acute treatment with risperidone vs. olanzapine in Bipolar I manic inpatients.

(1) Patients: the study includes all the inpatients diagnosed with bipolar I manic episode (DSM-IV) who were admitted during the years 2009 to 2014. Patients treated with risperidone and olanzapine concomitantly (n = 6) and patients not treated with risperidone or olanzapine (n = 129) were excluded.

The patients finally included (n = 183) were separated in two groups:

– treated with risperidone (n = 89);

– treated with olanzapine (n = 94).

(2) The Student-T test was used to compare, between the groups, the mean of scores in YMRS and CGI-S scales and the mean of length of stay.

Baseline characteristics were similar between the groups. The majority of patients were also treated with mood stabilizers (46% with lithium and 45% with valproate).

The mean decrease in CGI-S scores from baseline to the day of discharge was significantly (P < 0.003) higher in the risperidone group (−2.81 vs. −2.36). The length of stay was significantly (P < 0.004) lower in the olanzapine group (mean of 23.03 days vs. mean of 30.3).

(1) The CGI-S scores in manic patients treated with risperidone decreased more than in patients treated with olanzapine during admission. (2) The length of stay was significantly lower in patients treated with olanzapine.

The authors have not supplied their declaration of competing interest.

Bipolar disorder (BD) is associated with periodic symptoms’ exacerbations, leading to functional impairment, substance abuse, and increased risk of suicide and accidents. Clozapine has never been approved for the treatment of BD but it is used in severe episodes.

The aim of the study is to evaluate the risks and benefits of switching remitted BD patients treated with clozapine to another antipsychotic medication.

We assessed the proportion of relapsed patients after switching clozapine, time until relapse, type of relapse and the number of admissions.

This was an observational, mirror image study of 62 remitted BD outpatients treated with clozapine. Following a change in drug reimbursement rules by which clozapine was no longer reimbursable for patients with BD, 25 patients were switched to another antipsychotic and the rest of 37 continued on clozapine agreeing to pay treatment.

The mean score of CGI-BP at admission in study was in on both groups almost similar (2.3 vs. 2.4). After switching, a significant proportion of patients relapsed (77%), in 100% cases with a manic episode requiring hospitalisation. The mean YMRS score at relapse was significantly higher compared with the evaluation at the time prior to switching (31.78 (SD = 9.72) vs. 11.99 (SD = 7.29), P < 0.01).

Despite the limitations of this naturalistic study, the results suggest that switching from clozapine to another antipsychotic may increase the risk of relapses in remitted patients with BD. The risks, costs and consequences of symptoms exacerbation should be weighed against the quest to control pharmacy costs.

The authors have not supplied their declaration of competing interest.

The authors have not supplied their declaration of competing interest.

People with bipolar disorder frequently struggle with substance abuse and dependence. Typically, cannabis is the most commonly abused drug in individuals with bipolar disorder. Some investigators have implied that cannabis may actually be mood stabilizing in patients with bipolar disorder. However, the relationships between cannabis use and bipolar disorders are complex and remain incompletely described.

The aim of this study was to identify the characteristics of addiction to cannabis in bipolar patients type I and determine the consequences of cannabis on the expression of bipolar illness and prognosis.

This is a comparative cross-sectional study which included patients followed in the psychiatry department of the G Razi hospital for bipolar disorder type I and for substance dependence according to DSM IV diagnostic criteria. Hetero-questionnaire on sociodemographic variables, clinical and treatment.

The average age was 41 years. The average hospital stay was 9.18 days. 33.33% of patients were monitored regularly. Most patients were single and worked as a day labourer. Cannabis was the most consumed substance. Cannabis use was prior to the expression of psychiatric illness in 55% of cases. The average number of hospitalisation in patients with a cannabis addiction was significantly greater than that observed in the non-addicted group. Similarly, the average number of suicide attempts among patients with cannabis addiction was significantly higher than the group without cannabis addiction.

Aggressive drug abuse treatment immediately after a first psychiatric hospitalisation might decrease rates of recurrence and new cases of cannabis use disorder in the course of bipolar disorder.

The authors have not supplied their declaration of competing interest.