Outcomes of electroconvulsive therapy in patients with depressive symptoms with versus without comorbid personality disorders/traits: A systematic review and meta-analysis.

AIMS: To assess electroconvulsive therapy (ECT) outcomes in patients affected by depressive symptoms with versus without additional comorbid personality disorders/traits. METHODS: We identified observational studies investigating ECT clinical outcomes in patients affected by depressive symptoms with versus without comorbid personality disorders/traits in Embase/Medline in 11/2022. Our protocol was registered with PROSPERO (CRD42023390833). Study quality was evaluated using the Newcastle-Ottawa-Scale. Our primary outcomes were ECT response and remission rates. Meta-regression analyses included effects of in/outpatient percentages, age, number of ECT sessions, and electrode placement; subgroup analyses included the assessment methods for personality disorders/traits. We performed sensitivity analyses after excluding poor-quality studies. RESULTS: A total of 20 studies (n = 11,390) were included in our analysis. Patients with comorbid personality disorders/traits had lower remission rates (OR = 0.42, 95% CI = 0.31, 0.58, p < 0.001) with substantial heterogeneity (I2 = 93.0%) as well as lower response rates (OR = 0.35, 95% CI = 0.24, 0.51, n = 5129, p < 0.001) with substantial heterogeneity (I2 = 93.0%) compared with patients without comorbid personality disorders/traits. Relapse rates were higher in patients with versus without comorbid personality disorders/traits (OR = 3.23, 95% CI = 1.40, 7.45, k = 4, n = 239, p = 0.006) with moderate heterogeneity (I2 = 75.0%) and post-ECT memory impairment was more frequent in patients with versus without comorbid personality disorders/traits (OR = 1.41, 95% CI = 1.36, 1.46, k = 4, n = 471, p < 0.001) with minimal heterogeneity (I2 = 0.0%). Dropout rates were higher in patients with versus without comorbid personality disorders/traits (OR = 1.58, 95% CI = 1.13, 2.21, k = 3, n = 6145, p = 0.008). CONCLUSIONS: Patients with comorbid personality disorders/traits treated with ECT are reported to have lower response and remission rates and higher rates of side effects and relapse rates compared with patients without personality disorders/traits.

The role of affective temperaments in bipolar disorder: The solid role of the cyclothymic, the contentious role of the hyperthymic, and the neglected role of the irritable temperaments.

BACKGROUND: The aim of the present study is to evaluate the role of individual affective temperaments as clinical predictors of bipolarity in the clinical setting. METHODS: The affective temperaments of 1723 consecutive adult outpatients presenting for various symptoms to a university-based mental health clinical setting were assessed. Patients were administered the Hypomania Checklist-32 and the Temperament Evaluation of Memphis, Pisa, Paris, and San Diego - Auto-questionnaire (TEMPS-A) and were diagnosed by psychiatrists according to the DSM-5 criteria. TEMPS-A scores were studied as both continuous and normalized categorical z-scores from a previously established nationwide study on the general population of Lebanon. Simple and multiple binary logistic regressions were done on patients who have any of the DSM-5 defined bipolar types, as a combined group or separately, versus patients without any bipolar diagnosis. RESULTS: At the multivariable level and taking into account all temperaments, the irritable temperament is a consistent predictor of bipolar I and bipolar II disorders. Cyclothymic temperament also played a strong role in bipolarity but more decisively so in bipolar II and substance-induced bipolarity. The hyperthymic temperament had no role in bipolar I or bipolar II disorder.

Clinical research diagnostic criteria for bipolar illness (CRDC-BP): rationale and validity.

BACKGROUND: In the 1970 s, scientific research on psychiatric nosology was summarized in Research Diagnostic Criteria (RDC), based solely on empirical data, an important source for the third revision of the official nomenclature of the American Psychiatric Association in 1980, the Diagnostic and Statistical Manual, Third Edition (DSM-III). The intervening years, especially with the fourth edition in 1994, saw a shift to a more overtly "pragmatic" approach to diagnostic definitions, which were constructed for many purposes, with research evidence being only one consideration. The latest editions have been criticized as failing to be useful for research. Biological and clinical research rests on the validity of diagnostic definitions that are supported by firm empirical foundations, but critics note that DSM criteria have failed to prioritize research data in favor of "pragmatic" considerations. RESULTS: Based on prior work of the International Society for Bipolar Diagnostic Guidelines Task Force, we propose here Clinical Research Diagnostic Criteria for Bipolar Illness (CRDC-BP) for use in research studies, with the hope that these criteria may lead to further refinement of diagnostic definitions for other major mental illnesses in the future. New proposals are provided for mixed states, mood temperaments, and duration of episodes. CONCLUSIONS: A new CRDC could provide guidance toward an empirically-based, scientific psychiatric nosology, and provide an alternative clinical diagnostic approach to the DSM system.

Validation of the 33-Item Hypomania Checklist-External Assessment in Screening Adolescents for Bipolar Disorder.

Background: Bipolar disorder (BD) is often misdiagnosed, leading to poor treatment outcomes. Thus, accurate assessment of BD is of great importance, including in BD adolescents. The aim of the study was to explore the psychometric properties of the 33-item Hypomania Checklist-External Assessment (HCL-33-EA) in depressed adolescents. Methods: The study was conducted between March and November 2020 in Beijing, China. Depressed adolescents aged between 13 and 17 years (N = 260) with BD (N = 147) or major depressive disorder (MDD) (N = 113) diagnosed according to the International Classification of Diseases, Tenth Revision (ICD-10) were recruited. Patients' hypomanic symptoms were assessed by their carers using the HCL-33-EA. Results: The HCL-33-EA showed high internal consistency (Cronbach's alpha = 0.82) with two factorial dimensions. The Receiver Operating Characteristic (ROC) curve analysis revealed an area under the ROC curve (AUC) value of 0.61 (95% confidence interval (CI): 0.54-0.67). The optimal cut-off score of 7 generated the best combination of sensitivity (0.81) and specificity (0.37) for discriminating between adolescents with BD and MDD. Conclusion: The HCL-33-EA, with a two-factor structure, seems to be a useful tool for screening for BD in depressed adolescents. However, the high sensitivity and low specificity of the HCL-33-EA at the optimal cut-off value of 7 indicate that the HCL-33-EA needs to be further refined for young patients.

Longitudinal reciprocal associations between depression, anxiety, and substance use disorders over three decades of life.

BACKGROUND AND OBJECTIVE: Studies exploring longitudinal reciprocal associations between depressive, anxiety, and substance use disorders (DD, AD and SUD, respectively) over long periods of time are mainly lacking. Therefore, the aim of the present study is to test longitudinal associations (i.e. temporal dynamics) between DD, AD and SUD from young adulthood to middle adulthood. METHODS: A stratified community sample of 591 participants from the canton of Zurich, Switzerland, was interviewed with the Structured Psychopathological Interview and Rating of the Social Consequences of Psychological Disturbances for Epidemiology over seven interview waves from ages 20/21 to 49/50. Diagnostic and Statistical Manual of Mental Disorders criteria were used to evaluate the presence of DD, AD and SUD. We fitted an auto-regressive cross-lagged path analysis within a Bayesian structural equation model to test longitudinal associations. RESULTS: Regarding autoregressive effects, AD (except during young adulthood) and SUD predicted themselves over the entire time period, while DD recurrently predicted itself not consistently over time. Regarding cross-lagged effects, DD predicted SUD at different time points, and vice versa. DD predicted subsequent AD in adulthood, whereas the reverse did not happen. Female gender was associated with DD and AD at all ages while male gender was associated with SUD only in young adulthood. CONCLUSIONS: Reciprocal longitudinal associations were found between DD and SUD and DD usually preceded AD. Our results further confirm an increased risk of DD and AD in women and a higher risk of SUD in young men. Early treatment and broad psychosocial interventions should be provided in order to prevent chronicity and further maladjustment as well as interrupting the cycle of mutual reinforcement between DD and SUD.

Use of the 33-Item Hypomania Checklist (HCL-33) to Distinguish Bipolar Disorder From Major Depressive Disorder in Older Adults.

BACKGROUND: Bipolar disorder (BD) is often misdiagnosed as major depressive disorder (MDD) in older patients. This study examined the psychometric properties of the 33-item Hypomania Checklist (HCL-33) and its accuracy to differentiate BD from MDD among older adults. METHOD: A total of 215 depressed older patients were recruited; 107 were diagnosed with BD (71 with BD-type I and 36 with BD-type II) and 108 with MDD. Principal components analysis (PCA) was used to explore the factor structure of the HCL-33. Cronbach's alpha was calculated to test the internal consistency. Intra-class correlation coefficient (ICC) was used to measure test-retest reliability. The receiver operating characteristic (ROC) analysis was used to generate the optimal cut-off value to differentiate between BD and MDD. RESULTS: Two factors were identified in the PCA analysis accounting for 33.9% of the total variance. The Cronbach's alpha value for the HCL-33 was 0.912, with 0.922 for factor I and 0.664 for factor II. The test-retest reliability was excellent (ICC: 0.891). The optimal cut-off of the HCL-33 total score for discriminating between MDD and BD was 14, with a sensitivity of 88.8% and specificity of 82.4%. CONCLUSION: The HCL-33 had satisfactory reliability and validity and could be used to distinguish BD from MDD in older adults.

Comparing the Self- and External Assessment Versions of the HCL-33 as Screening Instruments for Bipolar Disorder in Older Depressed Patients.

Objectives: The misdiagnosis of bipolar disorder (BD) as major depressive disorder (MDD) is common in depressed older adults. The self-rated HCL-33 and its external assessment version (HCL-33-EA) have been developed to screen for hypomanic symptoms. This study compared the screening ability of these two instruments to discriminate BD from MDD. Methods: A total of 215 patients (107 with BD and 108 with MDD) and their carers were recruited. Patients and their carers completed the HCL-33 and HCL-33-EA, respectively. The consistency of the total score and the positive response to each item between the two scales was calculated with the intraclass correlation coefficient (ICC) and Cohen's kappa coefficient separately. Receiver operating characteristics (ROC) curves were drawn for both instruments. The optimal cut-off points were determined according to the maximum Youden's Index. The areas under the ROC curve (AUC) of the HCL-33 and HCL-33-EA were calculated separately and compared. The sensitivity and specificity at the optimal cut-off values were also calculated separately for the HCL-33 and HCL-33-EA. Results: The intraclass correlation coefficient (ICC) between the total scores of the HCL-33 and HCL-33-EA was 0.823 (95% CI = 0.774-0.862). The positive response rate on all items showed high agreement between the two instruments. ROC curve analysis demonstrated that the total scores of both HCL-33 and HCL-33-EA differentiated well between MDD and BD, while there was no significant difference in the AUCs between the two scales (Z = 0.422, P = 0.673). The optimal cutoff values for the HCL-33 and HCL-33-EA were 14 and 12, respectively. With the optimal cutoff value, the sensitivities of the HCL-33 and HCL-33-EA were 88.8% and 93.5%, and their specificities were 82.4% and 79.6%. Conclusion: Both the HCL-33 and HCL-33-EA had good screening ability for discriminating BD from MDD in depressed older adults.

A comparison of the 33-item Hypomania Checklist with the 33-item Hypomania Checklist-external assessment for the detection of bipolar disorder in adolescents.

BACKGROUND: Adolescents with bipolar disorder (BD) are often misdiagnosed as having major depressive disorder (MDD), which delays appropriate treatment and leads to adverse outcomes. The aim of this study was to compare the performance of the 33-item Hypomania Checklist (HCL-33) with the 33-item Hypomania Checklist- external assessment (HCL-33-EA) in adolescents with BD or MDD. METHODS: 147 adolescents with BD and 113 adolescents with MDD were consecutively recruited. The HCL-33 and HCL-33-EA were completed by patients and their carers, respectively. The sensitivity, positive predictive value (PPV), specificity, negative predictive value (NPV), and area under the curve (AUC) were calculated and compared between the two instruments, using cut-off values based on the Youden's index. RESULTS: The total scores of the HCL-33 and HCL-33-EA were positively and significantly correlated (rs = 0.309, P < 0.001). Compared to the HCL-33, the HCL-33-EA had higher sensitivity and NPV (HCL-33: sensitivity = 0.58, NPV = 0.53; HCL-33-EA: sensitivity = 0.81, NPV = 0.60), while the HCL-33 had higher specificity and PPV (HCL-33: specificity = 0.61, PPV = 0.66; HCL-33-EA: specificity = 0.37, PPV = 0.63). CONCLUSION: Both the HCL-33 and HCL-33-EA seem to be useful for screening depressed adolescents for BD. The HCL-33-EA would be more appropriate for distinguishing BD from MDD in adolescents due to its high sensitivity in Chinese clinical settings.

Characterization of rapid cycling bipolar patients presenting with major depressive episode within the BRIDGE-II-MIX study.

OBJECTIVES: The "Bipolar Disorders: Improving Diagnosis, Guidance, and Education" (BRIDGE-II-Mix) study aimed to estimate the frequency of mixed states in patients with a major depressive episode (MDE) according to different definitions and to compare their clinical validity, looking into specific features such as rapid cycling (RC). METHODS: Psychiatric symptoms, socio-demographic, and clinical variables were collected from a sample of 2811 MDE patients, of which 726 (25.8%) were diagnosed with bipolar disorder (BD). The characteristics of bipolar patients with RC (BD-RC) and without (BD-NRC) RC were compared. RESULTS: Of 726 BD patients, 159 (21.9%) met DSM-5 criteria for RC. BD-RC group presented a higher number of lifetime depressive episodes (p < 0.001) with shorter duration of depressive episodes, and more psychiatric comorbidities, as well as higher rates of atypical features (p = 0.016) and concomitant (hypo)manic symptoms (irritable mood (p = 0.001); risky behavior (p = 0.005); impulsivity (p = 0.006); and psychomotor agitation (p = 0.029)). Patients with RC had a worse functioning (p = 0.033), more obesity (p = 0.003), and were significantly more likely to be treated with three or more drugs (p = 0.007). CONCLUSIONS: Important clinical differences between bipolar patients with and without a RC include more depressive morbidity, higher incidence of anxiety disorders, addiction, bulimia, and borderline personality disorder, as well as atypical features during depression and symptoms such as irritability, risky behavior, impulsivity, and agitation. RC patients had poorer functioning than patients without RC, more obesity, and had to be treated with more drugs.

Validation of the 33-item Hypomania Checklist (HCL-33) in screening adolescents with bipolar disorder.

BACKGROUND: Adolescents with bipolar disorder (BD) are often misdiagnosed with major depressive disorder (MDD), which delays the introduction of appropriate treatment resulting in adverse outcomes. This study examined the psychometric properties of the 33-item Hypomania Checklist (HCL-33) and its accuracy to distinguish BD from MDD in adolescents. METHOD: A total of 248 participants (171 MDD and 77 BD patients) were recruited from a university-affiliated hospital in China. Depression was measured with the Hamilton Depression Rating Scale. All participants completed the assessment with the HCL-33. RESULTS: A two-factor structure was found for the HCL-33, which explained 30.2% of the total variance. The internal consistency and split half reliability of the total scale were acceptable. The optimal cut-off value of 18 generated sensitivity of 0.52 and specificity of 0.73 for distinguishing BD from MDD. CONCLUSION: The HCL-33 seems to be a useful screening instrument to distinguish BD from depressed adolescents. However, considering certain less than robust psychometric properties, the HCL-33 needs to be modified and further refined for adolescent patients.

Factors associated with single versus multiple suicide attempts in depressive disorders.

BACKGROUND: Many risk factors for suicidal behavior have been identified. Much less has been done to associate risk factors with recurrence of suicidal behavior. METHODS: We compared prevalence of 30 potential risk factors among 8496 depressive patient-subjects from the BRIDGE consortium with no (NSA, n = 6267), one (1SA, n = 1123), or repeated (≥2) suicide attempts (RSA, n = 1106). RESULTS: Prevalence of most factors ranked: RSA ≥ 1SA > NSA, with a notable opposite trend for the diagnosis of type II bipolar disorder (BD). Factors independently and significantly more present among RSA than 1SA subjects were: borderline personality, substance abuse, mood-switching with antidepressant treatment, female sex, and unsatisfactory response to antidepressant treatment. There also were notably strong associations of RSA with type I or probable BD and associated factors, including family history of BD, young onset, mixed and psychotic features. LIMITATIONS: Potential effects of treatment on risk of suicidal acts could not be evaluated adequately, as well as associations between levels of suicidal behavior and eventual death by suicide. CONCLUSIONS: In a large cohort of depressive patients, there were significant associations not only with suicidal behavior generally, but also with the intensity of suicide attempts.

Deconstructing major depressive episodes across unipolar and bipolar depression by severity and duration: a cross-diagnostic cluster analysis on a large, international, observational study.

A cross-diagnostic, post-hoc analysis of the BRIDGE-II-MIX study was performed to investigate how unipolar and bipolar patients suffering from an acute major depressive episode (MDE) cluster according to severity and duration. Duration of index episode, Clinical Global Impression-Bipolar Version-Depression (CGI-BP-D) and Global Assessment of Functioning (GAF) were used as clustering variables. MANOVA and post-hoc ANOVAs examined between-group differences in clustering variables. A stepwise backward regression model explored the relationship with the 56 clinical-demographic variables available. Agglomerative hierarchical clustering with two clusters was shown as the best fit and separated the study population (n = 2314) into 65.73% (Cluster 1 (C1)) and 34.26% (Cluster 2 (C2)). MANOVA showed a significant main effect for cluster group (p < 0.001) but ANOVA revealed that significant between-group differences were restricted to CGI-BP-D (p < 0.001) and GAF (p < 0.001), showing greater severity in C2. Psychotic features and a minimum of three DSM-5 criteria for mixed features (DSM-5-3C) had the strongest association with C2, that with greater disease burden, while non-mixed depression in bipolar disorder (BD) type II had negative association. Mixed affect defined as DSM-5-3C associates with greater acute severity and overall impairment, independently of the diagnosis of bipolar or unipolar depression. In this study a pure, non-mixed depression in BD type II significantly associates with lesser burden of clinical and functional severity. The lack of association for less restrictive, researched-based definitions of mixed features underlines DSM-5-3C specificity. If confirmed in further prospective studies, these findings would warrant major revisions of treatment algorithms for both unipolar and bipolar depression.

Extended overview of the longitudinal pain-depression association: A comparison of six cohorts treated for specific chronic pain conditions.

BACKGROUND: The aim was to quantify and to compare the associations between longitudinal changes in pain and depression in different chronic pain conditions. METHODS: Data were retrieved from 6 observational cohort studies. From baseline to the 6-month follow-up, the score changes on the Short Form (36) Health Survey (SF-36) bodily pain (pain) and the SF-36 mental health (depression) scales (0=worst, 100=best) were quantified, using partial correlations obtained by multiple regression. Adjustment was performed by age, living alone/with partner, education level, number of comorbidities, baseline pain and baseline depression. RESULTS: Stronger associations were found between changes in levels of pain and depression for neck pain after whiplash (n = 103, mean baseline pain=21.4, mean baseline depression=52.5, adjusted correlation r = 0.515), knee osteoarthritis (n = 177, 25.4, 64.2, r = 0.502), low back pain (n = 134, 19.0, 49.4, r = 0.495), and fibromyalgia (n = 125, 16.8, 43.2, r = 0.467) than for lower limb lipedema (n = 68, 40.2, 62.6, r = 0.452) and shoulder arthroplasty (n = 153, 35.0, 76.4, r = 0.292). Those correlations were somewhat correlated to baseline pain (rank r=-0.429) and baseline depression (rank r=-0.314). LIMITATIONS: The construct of the full range of depressive symptoms is not explicitly covered by the SF-36. CONCLUSIONS: Moderate associations between changes in pain and depression levels were demonstrated across 5 of 6 different chronic pain conditions. The worse the pain and depression scores at baseline, the stronger those associations tended to be. Both findings indicate a certain dose-response relationship - an important characteristic of causal interference. Relieving pain by treatment may lead to the relief of depression and vice versa.

Cannabis use during adolescence and the occurrence of depression, suicidality and anxiety disorder across adulthood: Findings from a longitudinal cohort study over 30 years.

OBJECTIVE: To examine the association between cannabis use in adolescence and the occurrence of depression, suicidality and anxiety disorders during adulthood. METHODS: A stratified population-based cohort of young adults (n = 591) from Zurich, Switzerland, was retrospectively assessed at age 19/20 for cannabis use in adolescence. The occurrence of depression, suicidality and anxiety disorders was repeatedly assessed via semi-structured clinical interviews at the ages of 20/21, 22/23, 27/28, 29/30, 34/35, 40/41, and 49/50. Associations were controlled for various covariates, including socio-economic deprivation in adolescence as well as repeated time-varying measures of substance abuse during adulthood. RESULTS: About a quarter (24%) reported cannabis use during adolescence; 11% started at age 15/16 or younger and 13% between the ages of 16/17 and 19/20. In the adjusted multivariable model, cannabis use during adolescence was associated with adult depression (aOR = 1.70, 95%-CI = 1.24-2.32) and suicidality (aOR = 1.65, 95%-CI = 1.11-2.47), but not anxiety disorders (aOR = 1.10, 95%-CI = 0.82-1.48). First use at age 15/16 and younger (as against first use between age 16/17 and 19/20 and no use) and frequent use in adolescence (as against less frequent use and no use) were associated with a higher risk of depression in adult life. CONCLUSIONS: In this longitudinal cohort study over 30-years, cannabis use during adolescence was associated with depression and suicidality in adult life. Young age at first use and high frequency of use in adolescence may particularly increase the risk of depression in adulthood. All associations were independent of cannabis abuse and other substance abuse during adulthood.

Symptom networks in acute depression across bipolar and major depressive disorders: A network analysis on a large, international, observational study.

Major Depressive Episode (MDE) is a transdiagnostic nosographic construct straddling Major Depressive (MDD) and Bipolar Disorder (BD). Prognostic and treatment implications warrant a differentiation between these two disorders. Network analysis is a novel approach that outlines symptoms interactions in psychopathological networks. We investigated the interplay among depressive and mixed symptoms in acutely depressed MDD/BD patients, using a data-driven approach. We analyzed 7 DSM-IV-TR criteria for MDE and 14 researched-based criteria for mixed features (RBDC) in 2758 acutely depressed MDD/BD patients from the BRIDGE-II-Mix study. The global network was described in terms of symptom thresholds and symptom centrality. Symptom endorsement rates were compared across diagnostic subgroups. Subsequently, MDD/BD differences in symptom-network structure were examined using permutation-based network comparison test. Mixed symptoms were the most central and highly interconnected nodes in the network, particularly agitation followed by irritability. Despite mixed symptoms, appetite gain and hypersomnia were significantly more endorsed in BD patients, associations between symptoms were highly correlated across MDD/BD (Spearman's r = 0.96, p<0.001). Network comparison tests showed no significant differences among MDD/BD in network strength, structure, or specific edges, with strong edges correlations (0.66-0.78). Upstream differences in MDD/BD may produce similar symptoms networks downstream during acute depression. Yet, mixed symptoms, appetite gain and hypersomnia are associated to BD rather than MDD. Symptoms during mixed-MDE might aggregate according to 2 different clusters, suggesting a possible stratification within mixed states. Future symptom-based studies should implement clinical, longitudinal, and biological factors, in order to establish tailored therapeutic strategies for acute depression.

The Burden of Comorbidity Between Bipolar Spectrum and Obsessive-Compulsive Disorder in an Italian Community Survey.

Background: The impact of the comorbidity between Obsessive-Compulsive Disorder (OCD) and Bipolar Disorder Spectrum (BDS) remains to be clarified. The objective of this study was to examine the lifetime prevalence of OCD, the strength of the association of OCD with comorbid BDS and the role of comorbidity of OCD with BDS in the impairment of health-related quality of life (HRQoL) in an Italian community survey. Methods: The study is a community survey. The sample (N = 2,267; women: 55.3%) was randomly selected after stratification by sex and four age groups from the municipal records of the adult population of one urban, one suburban, and at least one rural area in six Italian regions. Physicians using a semi-structured interview (Advanced Tools and Neuropsychiatric Assessment Schedule, ANTAS-SCID) made Diagnostic and Statistical Manual of Mental Disorders - 4th revision (DSM-IV) diagnoses of OCD, Major Depressive Disorder (MDD) and Bipolar Disorder (BD). HR-QoL was measured by the Health Survey Short Form (SF-12). Lifetime Hypomania and subthreshold hypomania were screened by the Mood Disorder Questionnaire (MDQ). BDS was defined as the sum of people shown to be positive for hypomania by the MDQ-with or without a mood disorder diagnosis-plus people with a BD-DSMIV diagnosis even if negative for hypomania at the MDQ. Results: Overall, 44 subjects were diagnosed with OCD, 6 with MDD and 1 with BD. The lifetime prevalence of OCD was 1.8% in men (n = 18) and 2.0% in women (n = 26). MDD with lifetime subthreshold hypomania (i.e., people screened positive at the MDQ, even without diagnosed mania or hypomania at the interview) was associated with OCD (OR = 18.15, CI 95% 2.45-103.67); MDD without subthreshold hypomania (and screened negative at the MDQ) was not (OR = 2.33, CI 95% 0.69-7.01). People with BDS were strongly associated with OCD (OR = 10.5, CI 95% 4.90-12.16,). People with OCD and BDS showed significantly poorer HR-QoL than people with OCD without BDS (F = 9.492; P < 0.003). Discussion: The study found a strong association between BDS and OCD. BDS comorbid with OCD was associated with more severe impairment of HR-QoL than OCD without comorbid BDS. Identification of symptoms of hypomania, including subthreshold symptoms, may therefore be important in people with OCD as they might predict a course with poorer HR-QoL.

Bipolar disorders in ICD-11: current status and strengths.

BACKGROUND: The Clinical descriptions and diagnostic guidelines for the ICD-11 Classification of mental and behavioural disorders should soon be finalized. To measure their potential impact, the new proposed definitions of bipolar disorders in ICD-11 were applied to data from the Zurich cohort study and compared with the definitions of ICD-10 and DSM-5. RESULTS: We found little difference between ICD-11 and ICD-10 in the identification of subjects with bipolar disorders, but compared to DSM-5 a considerable increase in the diagnosis of hypomanic episodes and therefore of bipolar-II disorders. CONCLUSIONS: Compared to ICD-10 and DSM-5 the definition of hypomanic episodes according to ICD-11 represents important progress. A higher prevalence of BP-II disorder makes sense from a clinical point of view. Further transcultural research is needed into whether out-patient treatment should be included as a criterion for hypomania. Pure mania is unfortunately missing as an independent and codable disorder in the international diagnostic manuals, whether ICD-11 or DSM-5.

"Do depressive and manic symptoms differentially impact on functioning in acute depression? Results from a large, cross-sectional study".

BACKGROUND: Diagnostic criteria for a major depressive episode capture heterogeneous presentations across unipolar (UD) and bipolar (BD) and first-onset (FDE) depression. We evaluated the contribution of each depressive and (hypo)manic symptom to worse functioning in UD/BD/FDE subgroups. METHODS: A post-hoc analysis of the BRIDGE-II-Mix study. Acutely depressed patients were stratified into UD, BD and FDE. Each (hypo)manic or depressive symptom was included in a diagnosis-specific logistic regression model with functioning as dependent variable. Better/worse functioning was set with median diagnosis-specific GAF scores cutoffs. All p values were two-tailed. Statistical significance was set at p < 0.05. RESULTS: A total of 2768/2811 depressed individuals were enrolled. In BD (N = 716), "recurrent thoughts of death" (OR 2.48, p < 0.0001) and "feelings of worthlessness" (OR 2.28, p < 0.0001) among depressive symptoms, "aggressiveness" (OR 1.67, p = 0.022) as the unique (hypo)manic symptom, significantly contributed to worse functioning. In UD (N = 1357), "depressed mood" (OR 5.6, p = 0.031) and "diminished interest or pleasure" (OR 4.77, p < 0.0001) among depressive, "grandiosity" (OR 3.5, p = 0.014) among (hypo)manic symptoms, most significantly contributed to worse functioning. In FDE (N = 677) "recurrent thoughts of death" (OR 1.99, p < 0.0001) and "insomnia/hypersomnia" (OR 1.88, p = 0.039) among depressive, "grandiosity" (OR 5.98, p = 0.038) as (hypo)manic symptoms significantly contributed to worse functioning. LIMITATIONS: The post-hoc and cross-sectional design do not allow for prognostic or causal inferences. CONCLUSIONS: Key depressive and (hypo)manic symptoms distinctively associate with worse functional outcome in acute depression, with differential diagnostic-specific magnitude of effect. Core depressive symptoms are associated with worse functioning in unipolar depression, but not in bipolar or first-episode depression.

The role of different patterns of psychomotor symptoms in major depressive episode: Pooled analysis of the BRIDGE and BRIDGE-II-MIX cohorts.

BACKGROUND: Psychomotor agitation (PA) or retardation (PR) during major depressive episodes (MDEs) have been associated with depression severity in terms of treatment-resistance and course of illness. OBJECTIVES: We investigated the possible association of psychomotor symptoms (PMSs) during a MDE with clinical features belonging to the bipolar spectrum. METHODS: The initial sample of 7689 MDE patients was divided into three subgroups based on the presence of PR, PA and non-psychomotor symptom (NPS). Univariate comparisons and multivariate logistic regression models were performed between subgroups. RESULTS: A total of 3720 patients presented PR (48%), 1971 showed PA (26%) and 1998 had NPS (26%). In the PR and PA subgroups, the clinical characteristics related to bipolarity, along with the diagnosis of bipolar disorder (BD), were significantly more frequent than in the NPS subgroup. When comparing PA and PR patients, the former presented higher rates of bipolar spectrum features, such as family history of BD (OR = 1.39, CI = 1.20-1.61), manic/hypomanic switches with antidepressants (OR = 1.28, CI = 1.11-1.48), early onset of first MDE (OR = 1.40, CI = 1.26-1.57), atypical (OR = 1.23, CI = 1.07-1.42) and psychotic features (OR = 2.08, CI = 1.78-2.44), treatment with mood-stabilizers (OR = 1.39, CI = 1.24-1.55), as well as a BD diagnosis according to both the DSM-IV criteria and the bipolar specifier criteria. When logistic regression model was performed, the clinical features that significantly differentiated PA from PR were early onset of first MDE, atypical and psychotic features, treatment with mood-stabilizers and a BD diagnosis according to the bipolar specifier criteria. CONCLUSIONS: Psychomotor symptoms could be considered as markers of bipolarity, illness severity, and treatment complexity, particularly if PA is present.