Influence of gender on inpatient treatment for bipolar disorder: An analysis of 60,607 hospitalisations

Differences in clinical presentation between newly diagnosed bipolar I and II disorders: A naturalistic study

AIM

This naturalistic clinical study aims to investigate differences between newly diagnosed patients with bipolar type I (BDI) and bipolar type II (BDII) disorders in socio-demographic and clinical characteristics, affective symptoms, cognition, functioning and comorbidity with personality disorders.

METHODS

The BD diagnosis and type were confirmed using the Schedules for Clinical Assessment in Neuropsychiatry. Affective symptoms were assessed with the Young Mania Rating Scale, the Hamilton Depression Rating Scale, the Major Depressive Index, and the Altman Self-Rating Mania Scale. Functional impairment was assessed with the Functional Assessment Short Test. Cognitive impairment was evaluated by the Screen for Cognitive Impairment in Psychiatry and the Cognitive Complaints in Bipolar Disorder Rating Assessment. Finally, comorbid personality disorders were assessed with the Standardized Assessment of Personality-Abbreviated Scale and structured interview Structured Clinical Interview for DSM-disorders.

RESULTS

383 newly diagnosed patients were included (BDI: n = 125; BDII: n = 258). Against expectations, we found no more depressive symptoms in BDII compared with BDI nor any differences in cognitive, childhood trauma or overall functional impairment. The only difference was lower occupational impairment in the BDII group.

LIMITATIONS

The self-reported measures of cognitive difficulties and childhood trauma involved potential bias (recall or other). Despite BD being newly diagnosed a diagnostic delay was observed.

CONCLUSION

Patients newly diagnosed with BDII and BDI had similar burdens of depressive symptoms and cognitive and overall functional impairment, however patients with BDI had lower occupational functioning. No statistically significant difference was found in prevalence of comorbid personality disorders between patients with BDI and BDII.

Sex differences in bipolar disorder: The dorsolateral prefrontal cortex as an etiopathogenic region

Bipolar disorder (BD) is worldwide a prevalent mental illness and a leading risk factor for suicide. Over the past three decades, it has been discovered that sex differences exist throughout the entire panorama of BD, but the etiologic regions and mechanisms that generate such differences remain poorly characterized. Available evidence indicates that the dorsolateral prefrontal cortex (DLPFC), a critical region that controls higher-order cognitive processing and mood, exhibits biological disparities between male and female patients with psychiatric disorders, which are highly correlated with the co-occurrence of psychotic symptoms. This review addresses the sex differences in BD concerning epidemiology, cognitive impairments, clinical manifestations, neuroimaging, and laboratory abnormalities. It also provides strong evidence linking DLPFC to the etiopathogenesis of these sex differences. We emphasize the importance of identifying gene signatures using human brain transcriptomics, which can depict sexually different variations, explain sex-biased symptomatic features, and provide novel targets for sex-specific therapeutics.

Demographic, clinical and biochemical correlates of the length of stay for different polarities in Chinese inpatients with bipolar disorder: A real-world study

Introduction: Many patients with bipolar disorder (BD) need hospitalization, while the number of hospital beds for these patients is limited. Managing the length of stay (LOS) is an effective solution to this issue. Research on LOS and its influencing factors in BD is limited in China. This study aimed to identify the factors relevant to LOS in different polarities in Chinese patients with BD. Method: This was a real-world, cross-sectional study. Data were obtained from the electronic medical record system. Patients admitted to Beijing Anding Hospital between Jan 2014 and Dec 2017 and diagnosed with BD were included. Demographic information, clinical characteristics, and biochemical variables were collected. Patients were classified into short and long LOS groups based on a cutoff value. A univariate study and a multivariate logistic regression analysis were performed to identify variables related to LOS in various BD polarities. The receiver operating characteristic (ROC) analysis was utilized to evaluate the discrimination accuracy of the regression model. Result: Four thousand six hundred and seventy-five visits from 4,451 individuals were included in the analysis. For the whole sample, unmarried status, psychotic features, and family history of mental disorders were positively associated with long LOS (all p < 0.05). There was an additive interaction between a family history of mental disorders and polarities (p < 0.05). For manic episodes, unmarried status, psychotic features, and family history of mental disorders were positively associated with long LOS (all p < 0.05). For depressive episodes, psychotic features and high-density lipoprotein cholesterol (HDLC) levels were positively associated with long LOS (all p < 0.05). For mixed states, unmarried status was positively associated with long LOS, while low-density lipoprotein cholesterol (LDLC) levels were negatively associated with LOS (all p < 0.05). The area under the curve (AUC) values for depressive episodes, manic episodes, and mixed states in the combined model were 0.587, 0.553, and 0.619, respectively (all p < 0.05). Discussion: The findings suggested that LOS correlates differed by polarity, with marital status, psychotic features, a family history of mental disorders, and lipid levels strongly linked with LOS in patients with BD.

Deficiency of the circadian clock gene Rev-erbα induces mood disorder-like behaviours and dysregulation of the serotonergic system in mice

Mood disorders such as depression, anxiety, and bipolar disorder are highly associated with disrupted daily rhythms of activity, which are often observed in shift work and sleep disturbance in humans. Recent studies have proposed the REV-ERBα protein as a key circadian nuclear receptor that links behavioural rhythms to mood regulation. However, how the Rev-erbα gene participates in the regulation of mood remains poorly understood. Here, we show that the regulation of the serotonergic (5-HTergic) system, which plays a central role in stress-induced mood behaviours, is markedly disrupted in Rev-erbα^-/- mice. Rev-erbα^-/- mice exhibit both negative and positive behavioural phenotypes, including anxiety-like and mania-like behaviours, when subjected to a stressful environment. Importantly, Rev-erbα^-/- mice show a significant decrease in the expression of a gene that encodes the rate-limiting enzyme of serotonin (5-HT) synthesis in the raphe nuclei (RN). In addition, 5-HT levels in Rev-erbα^-/- mice are significantly reduced in the prefrontal cortex, which receives strong inputs from the RN and controls stress-related behaviours. Our findings indicate that Rev-erbα plays an important role in controlling the 5-HTergic system and thus regulates mood and behaviour.

Direct medical cost of bipolar disorder: Insights from the FACE-BD longitudinal cohort

BACKGROUND

Bipolar disorder (BD) is a severe chronic psychiatric disorder affecting 0.5 to 1% of the population worldwide. To date, most studies have estimated the cost of BD via information sourced from insurance claims with limited information on clinical characteristics and course of BD. The aims of this study are (i) to estimate the direct healthcare cost associated with BD and to identify contributing factors and (ii) to study the evolution of cost during a two-year follow-up period.

METHOD

We analyzed a sample of 1116 individuals with BD included in the Advanced Centers of Expertise in Bipolar Disorder cohort. We estimated the direct healthcare cost per year and per patient, and we identified the clinical features of patients with BD associated with higher direct healthcare costs. In a subsample of patients followed up for two years centers of expertise for BD, we studied the evolution of direct healthcare cost.

RESULTS

The average cost of bipolar disorder was € 6910 per year and per patient. Clinical features of BD, sociodemographic characteristics, and associated addiction were associated with higher direct healthcare costs. In the subsample of patients followed-up for two years, direct healthcare cost dropped by more than 50%, strongly suggesting the beneficial effect of specialized care organization.

LIMITATION

We did not estimate indirect healthcare and intangible costs.

CONCLUSION

Our study investigates the cost of BD and its evolution in a deeply phenotyped longitudinal sample. Cost-utility and cost-effectiveness analyses are required to inform resource allocation decisions and to promote innovative healthcare organizations.

Confirmatory evaluation of the bipolar depression rating scale (BDRS) in a large sample of female patients with bipolar depression

OBJECTIVE

The Bipolar Depression Rating Scale (BDRS) is a structured rating scale designed to assess depressive and mixed symptoms in bipolar disorder (BD). Previous studies evaluating the scale have been performed on small samples or on patients in a depressive phase, but not on patients in a mixed or manic phase. This study evaluated the Persian version of the BDRS regarding its factor structure, reliability, and validity in a large sample of Iranian women with BD in a depressive or mixed/manic phase.

METHODS

Three-hundred and one female BD inpatients completed the BDRS, the Beck Depression Inventory-II (BDI-II), the Hamilton Depression Rating Scale (HDRS), the Montgomery-Åsberg Depression Rating Scale (MADRS), and the Young Mania Rating Scale (YMRS).

RESULTS

The BDRS demonstrated a three-factor structure with good reliability. The BDRS and its psychological and somatic symptom clusters had stronger correlations with other measures of depressive symptoms than a measure of mania. The BDRS mixed symptom cluster also had a stronger correlation with a measure of mania than other measures of depression, supporting the scales' convergent and discriminant validity.

CONCLUSIONS

The BDRS demonstrated psychometric validity in assessing depressive and mixed symptoms in Iranian women with BD in a depressive or mixed/manic phase.KEY POINTSThe Bipolar Depression Rating Scale (BDRS) was validated in Iranian women with BD.The BDRS showed a three-factor structure, similar to the original validation.The BDRS had good reliability based on Omega and test-retest coefficients.The findings provided evidence for the convergent and discriminant validity of the BDRS.

Bipolar Disorder Related Hospitalizations - a Descriptive Nationwide Study Using a Big Data Approach

Bipolar Disorder (BD) is a mental disorder which frequently requires long hospitalizations and need for acute psychiatric care. The aim of this study was to describe a nationwide perspective of BD related hospitalizations and to use a BigData based approach in mental health research. We performed a retrospective observational study using a nationwide hospitalization database containing all hospitalizations registered in Portuguese public hospitals from 2008-2015. Hospitalizations with a primary diagnosis of BD were selected based on International Classification of Diseases version 9, Clinical Modification (ICD-9-CM) codes of diagnosis 296.xx (excluding 296.2x; 296.3x and 296.9x). From 20,807 hospitalizations belonging to 13,300 patients, around 33.4% occurred in male patients with a median length of stay of 16.0 days and a mean age of 47.9 years. The most common hospitalization diagnosis in BD has the code 296.4x (manic episode) representing 34.3% of all hospitalizations, followed by the code 296.5x (depressed episode) with 21.4%. The mean estimated hospitalization charge was 3,508.5€ per episode, with a total charge of 73M€ in the 8-year period of this study.This is a nationwide study giving a broad perspective of the BD hospitalization panorama at a national level. We found important differences in hospitalization characteristics by sex, age and primary diagnosis.

Cannabis Use is an Independent Risk Factor for Manic Episode: A Report from 380,265 Bipolar Inpatients

OBJECTIVES

To evaluate the odds for bipolar disorder (BP) mania and depression-related hospitalization due to cannabis use disorders (CUD).

METHODS

We conducted a cross-sectional study using the national inpatient sample (NIS), and included adult BP hospitalizations sub-grouped by manic (N = 209,785) versus depressive episodes (N = 170480). A logistic regression model was used to evaluate adjusted odds ratio (aOR) of association between CUD and BP-mania-related hospitalizations and was adjusted for demographics confounders, psychiatric comorbidities and other substance use disorders (SUD).

RESULTS

Comorbidities were less prevalent in BP mania compared to BP depression: anxiety disorders (22.7% vs. 35.3%), PTSD (8.7% vs. 14.3%), and personality disorders (15.4% vs. 20.5%). Among SUD, methamphetamine (aOR 1.27, 95%CI 1.22 - 1.32) and CUD (aOR 1.53, 95%CI 1.50 - 1.56) had increased odds for hospitalization for BP mania.

CONCLUSION

CUD increases the odds for hospitalization for BP manic episode by 53%. Due to the rising prevalence of cannabis use among patients with BP it is important to provide substance use counseling/psychoeducation and discourage cannabis use among youth to prevent long-term adverse consequences.

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.

Gender and mental health service use in bipolar disorder: national cohort study

BACKGROUND

Despite evidence of gender differences in bipolar disorder characteristics and comorbidity, there is little research on the differences in treatment and service use between men and women with bipolar disorder.

AIMS

To use routine data to describe specialist mental health service contact for bipolar disorder, including in-patient, community and support service contacts; to compare clinical characteristics and mental health service use between men and women in contact with secondary services for bipolar disorder.

METHOD

Cross-sectional analysis of mental health patients with bipolar disorder in New Zealand, based on complete national routine health data.

RESULTS

A total of 3639 individuals were in contact with specialist mental health services with a current diagnosis of bipolar disorder in 2015. Of these 58% were women and 46% were aged 45 and over. The 1-year prevalence rate of bipolar disorder leading to contact with specialist mental health services was 1.56 (95% CI 1.50-1.63) per 100 000 women and 1.20 (95% CI 1.14-1.26) per 100 000 men. Rates of bipolar disorder leading to service contact were 30% higher in women than men (rate ratio 1.30, 95% CI 1.22-1.39). The majority (68%) had a diagnosis of bipolar I disorder. Women were more likely to receive only out-patient treatment and have comorbid anxiety whereas more men had substance use disorder, were convicted for crimes when unwell, received compulsory treatment orders and received in-patient treatment.

CONCLUSIONS

Although the prevalence of bipolar disorder is equal between men and women in the population, women were more likely to have contact with specialist services for bipolar disorder but had a lower intensity of service interaction.

Prevalence of comorbidities and correlates of hospital readmission rate in patients with acute mania: A one-year retrospective data from a tertiary care

OBJECTIVE

To assess the prevalence of medical comorbidities in acute manic patients over a period of 1 year, and to evaluate correlates of the readmission rate.

DESIGN/METHODS

A retrospective observational study was conducted on 158 acute manic patients from 2016 to 2017.

RESULTS

The most common physical comorbidity was obesity (36.1%) followed by cardiovascular disorders (15.2%) and liver dysfunctions (9.3%). Male gender was associated with higher readmission rate (Beta = -0.260), while taking anticholinergic drugs (Beta = -0.338) and having a family history of psychiatric disorders (Beta = -0.222) were associated with lower readmission rate.

PRACTICAL IMPLICATIONS

The study results may help physicians and other clinicians understand the burden of illness recurrence in bipolar disorder type I patients and adopt effective strategies to prevent relapse, taking into account all comorbidities.

Quality of life and psychological symptoms for women with bipolar disorder - a comparison between reproductive, menopause transition and post-menopause phases

OBJECTIVE

The menopause transition may be associated with increased symptoms for women living with bipolar disorder; however, few have explored how this compares with other reproductive phases. The aim of this study was to compare women at reproductive, menopause transition and post-menopause phases on measures of quality of life and psychological symptoms associated with bipolar disorder.

STUDY DESIGN

Women with bipolar disorder took part in a large international survey conducted online and were categorised into reproductive stages using the STRAW and Monash criteria. The 498 participants were divided into three groups: 202 (41%) in the reproductive age group, 101 (20%) in the menopause transition group and 195 (39%) in the post-menopause group.

MAIN OUTCOME MEASURES

The Menopause Rating Scale (MRS), the Depression Anxiety and Stress Scales - 21 (DASS-21), the Altman Mania Rating Scale (ASRM) and the Bipolar Disorder Quality of Life scale (BD-QoL).

RESULTS

BD-QoL scores were significantly lower in the menopause transition group than in the other groups and that group was more likely to report being constantly depressed over the past year than the other groups. Anxiety was significantly higher in the menopause transition and post-menopause groups compared with the reproductive age group.

CONCLUSIONS

Quality of life and depression are impacted by the menopause transition for women with bipolar disorder. However, anxiety may be a clinical issue for women in both the post-menopause and the menopause transition phases. Research is needed to determine how symptoms vary across the reproductive life cycle for women with bipolar disorder and if targeted treatments may assist.

A prospective longitudinal study searching for predictors of response to group psychoeducation in bipolar disorder

BACKGROUND

The efficacy of adjunctive group psychoeducation in bipolar disorder has been proven although treatment response differ among individuals. The aim of this study was to characterize responders and non-responders to group psychoeducation in order to identify baseline variables that could predict treatment response.

METHODS

The sample was composed of 103 medicated euthymic patients with bipolar disorder referred to 21 sessions of group psychoeducation (6 months). Sociodemographic and clinical variables, temperament, circadian rhythms, BDNF, cognitive and psychosocial functioning were collected. At the 18-month endpoint, the patients were split in two groups on the basis of having suffered any recurrence. Significant group differences were included in a logistic regression analysis.

RESULTS

Ninety patients out of 103 engaged in group psychoeducation, 47 of whom (52.2%) responded to psychoeducation and 43 (47.8%) did not. Recurrences occurred more often in the follow-up, the most common being depression. Responders and non-responders differed in gender, age at diagnosis, latency of diagnosis, temperament, attention composite score and BDNF. Lower age at diagnosis of bipolar disorder, lower cyclothimic temperament scores and being male -which was associated with bipolar type I and a trend to more previous manic episodes- were significantly related to a better response to psychoeducation in the regression analysis.

LIMITATIONS

No control group.

CONCLUSIONS

This study identifies age at diagnosis as a significant modifiable risk factor of treatment response, highlighting the need for early identification of bipolar disorder. Existing programs should be adjusted to the characteristics of specific subpopulations in the framework of a personalized approach.

Pattern of inpatient care for depression: an analysis of 232,289 admissions

BACKGROUND

The prevalence of major depressive disorder (MDD) in women is up to 50% higher as compared to men. However, little is known about discrepancies in health care utilization between depressed female and male patients. Consequently, the aim of the present study was to elucidate gender differences regarding the frequency of hospital admissions and the length of inpatient treatment for MDD across the lifespan.

METHODS

This nationwide, registry-based study analyzed all inpatient admissions in psychiatric hospitals due to recurrent/non-recurrent MDD episodes according to ICD-10 (moderate (F32/33.1), severe (F32/33.2), severe with psychotic features (F32/33.3)) in Austria across 14 years. We calculated weekly admission rates per 100,000 patients by directly age-standardized rates.

RESULTS

Across 232,289 admissions (63.2% female) the population based admission rates in MDD were significantly higher in women (p < 0.001). Female to male ratios across subgroups were 1.65 (F32/33.1), 1.58 (F32/33.2), 1.73 (F32/33.3), and peaked around 65 years (ratio ≥ 2 for all subgroups). Length of hospital stay for women was significantly longer in all depression subtypes (p < 0.001).

CONCLUSIONS

Elevated rates of inpatient treatment in women cannot solely be explained by a higher MDD prevalence and are dependent on age and type of depressive episode. Irrespective of the type and severity of the mood episode, women exhibit longer hospitalisation times.

Gender-related differences in patients with bipolar disorder: a nationwide study

OBJECTIVE

The possible presence of gender-related differences in patients with bipolar disorder (BD) may have diagnostic and therapeutic implications. This multicenter study aimed to investigate gender differences in BD in the largest Italian database collected to date, on behalf of the Italian Chapter of the International Society of Bipolar Disorders.

METHODS

A total of 1674 patients (males: n = 714; females: n = 960) from different psychiatric departments were compared according to gender on demographic/clinical variables. Owing to the large number of variables statistically related to the dependent variable (gender) at the univariate analyses, preliminary multiple logistic regression analyses were performed. A final multivariable logistic regression was then performed, considering gender as the dependent variable and statistically significant demographic/clinical characteristics as independent variables.

RESULTS

The results of the final multivariable logistic regression analysis with previous statistically significant demographic and clinical variables were the following: female gender was less frequently associated with employment (odds ratio [OR] = 0.7, P < 0.01), lifetime single marital status (OR = 0.45, P < 0.01), and substance abuse in the last year (OR = 0.35, P < 0.01), whereas it was more frequently associated with a major number of lifetime major depressive episodes (OR = 1.78, P < 0.01) and psychiatric visits in the last year (OR = 1.38, P = 0.01).

CONCLUSION

Few significant differences were found between genders in BD, particularly for those clinical features that are associated with poor prognosis (substance abuse for males and number of depressive episodes for females). Transcultural studies are needed to identify cultural versus illness-related variables possibly explaining the different clinical presentation of BD in relation to gender.

Gender influence on the bipolar disorder inpatient length of stay in Sweden, 2005-2014: A register-based study

BACKGROUND

The influence of gender on bipolar disorder is controversial and it is unclear if inpatient care differs between men and women. Here, we investigate for gender differences in the inpatient length of stay for Swedes admitted for bipolar disorder and explore other factors that could explain any observed association.

METHODS

Admission data were extracted from the Swedish National Patient Register and included all patients first admitted to a psychiatric inpatient unit with a bipolar disorder diagnosis, circa 2005-2014. Patients were then retrospectively followed for subsequent hospitalizations. Diagnostic subtypes were categorized by ICD-10 clusters: depressive, depressive with psychotic features, manic, manic with psychotic features, mixed, and other. Psychotropic therapies preceding the corresponding admissions were attained from the Prescribed Drug Register. Mixed-effects zero-truncated negative binomial regressions were employed to model the length of stay per admission.

RESULTS

Analysis included 39,653 admissions by 16,271 inpatients (60.0% women). Overall, when compared to men, women spent 7.5% (95% CI: 4.2-11.0%, p < 0.001) extra days hospitalized per admission. However, upon adjusting for candidate confounders, including the bipolar subtype, and selected comorbidities and psychotropics, the association weakened wherein women then spent 3.7% (95% CI: 0.1-6.9%, p = 0.028) extra days hospitalized per admission.

LIMITATIONS

The integrity of register data can be variable and the adherence to outpatient dispensed psychotropics could not be validated.

CONCLUSION

Although the influence of gender on the bipolar disorder inpatient length of stay is evident, other factors attenuate and better explain this crude observation.

Levels of depression in transgender people and its predictors: Results of a large matched control study with transgender people accessing clinical services

BACKGROUND

Depression is a serious disorder which significantly impacts wellbeing and quality of life. Studies exploring mental wellbeing in the transgender population are mostly limited by small, non-homogenous samples and lack of matched controls. This study aimed to address these limitations and explore depression rates in a large sample of transgender people, compared with matched controls from the general population, as well as factors predicting depression in those taking cross-sex hormone treatment (CHT) compared to those not.

METHODS

Transgender individuals (n = 913) completed a measure of depression, measures which predict psychopathology (self-esteem, victimization, social support, interpersonal problems), and information regarding CHT use. Participants were matched by age and experienced gender with adults from the general population who had completed the measure of depression.

RESULTS

Individuals were categorized as having no, possible or probable depressive disorder. Transgender individuals not on CHT had a nearly four-fold increased risk of probable depressive disorder, compared to controls. Older age, lower self-esteem, poorer interpersonal function and less social support predicted depressive disorder. Use of CHT was associated with less depression.

LIMITATIONS

Participants were attending a national gender identity service and therefore represent only a sub-group of transgender people. Due to the cross-sectional design, longitudinal research is required to fully confirm the finding that CHT use reduces depression.

CONCLUSION

This study confirms that non-treated transgender individuals have an increased risk of a depressive disorder. Interventions offered alongside gender affirming treatment to develop interpersonal skills, increase self-esteem and improve social support may reduce depression and prepare individuals for a more successful transition.

Association between bipolar disorder and subsequent traumatic brain injury in patients who received inpatient treatment

Mental disorders may confer a high risk of traumatic brain injury, but only rare studies have investigated mood disorders. This nationwide cohort study compared the risk of traumatic brain injury in patients with and without bipolar disorder. We compared 1017 patients with bipolar disorder who received inpatient treatment and 9080 compared patients. The annual incidence rate of traumatic brain injury was calculated as the number of new cases divided by the total number of person-years in the available records. The incidence of subsequent traumatic brain injury was significantly higher in the bipolar group than in control group. The adjusted hazard ratio for those with multiple hospitalizations was higher than the counterpart. Except for patients in the 50-59-year age group, those in all other age groups had higher risks of traumatic brain injury. Our findings reveal a higher risk of traumatic brain injury in patients with bipolar disorder. Patients with recurrent hospitalization and multiple psychotropic use had an increased risk of traumatic brain injury. Age may modify the risk of traumatic brain injury, with a higher risk in middle-aged patients.

Predictors of hospitalization length of stay among re-admitted treatment-resistant Bipolar Disorder inpatients

BACKGROUND

Hospitalization accounts for significant health care resource utilization for treatment-resistant Bipolar Disorder (BD), especially among frequent users of acute inpatient psychiatric units. Appraisal of the clinical features and predictive role of selected variables is therefore crucial in such population, representing the aim of the present research.

METHODS

A hundred and nineteen BD inpatients with an established history of pharmacological treatment resistance for either mania or bipolar depression were classified as long hospitalization cases (LOS⁺) and their controls and compared against each other for a number of demographic, clinical, and psychopathological features.

RESULTS

Overall, female sex, current second-generation atypical antipsychotic (SGA)/mood stabilizer other than lithium as well as antidepressant treatment at the admission occurred statistically more frequently among LOS⁺ cases, concordant with higher scores at the Hamilton scales for depression and anxiety. Lithium utilization at the time of hospitalization did not differ between cases and controls (LOS^-, n = 81/119), as predominant affective temperament and other psychopathological rating did not. Overall, the time of admission, use of SGA, anticonvulsant (other than lithium), antidepressant, lifetime alcohol dependence, and BD Type (-I or -II), but not current mood polarity at the time of hospitalization, correctly predicted LOS⁺ grouping 68.2% of the times: Exp(B) = 3.151, p042.

LIMITATIONS

Post-hoc, cross-sectional study, relatively small sample size, recall and selection bias on some diagnoses.

CONCLUSIONS

Overall, LOS⁺ treatment-resistant BD inpatients characterize for higher severity and greater pharmaco-utilization use, which warrants replication studies to include additional predictors to shed further light on the matter.