Who is at risk for weight gain after weight-gain associated treatment with antipsychotics, antidepressants, and mood stabilizers: A machine learning approach.

BACKGROUND: Weight gain is a common side effect in psychopharmacology; however, targeted therapeutic interventions and prevention strategies are currently absent in day-to-day clinical practice. To promote the development of such strategies, the identification of factors indicative of patients at risk is essential. METHODS: In this study, we developed a transdiagnostic model using and comparing decision tree classifiers, logistic regression, XGboost, and a support vector machine to predict weight gain of ≥5% of body weight during the first 4 weeks of treatment with psychotropic drugs associated with weight gain in 103 psychiatric inpatients. We included established variables from the literature as well as an extended set with additional clinical variables and questionnaires. RESULTS: Baseline BMI, premorbid BMI, and age are known risk factors and were confirmed by our models. Additionally, waist circumference has emerged as a new and significant risk factor. Eating behavior next to blood glucose were found as additional potential predictor that may underlie therapeutic interventions and could be used for preventive strategies in a cohort at risk for psychotropics induced weight gain (PIWG). CONCLUSION: Our models validate existing findings and further uncover previously unknown modifiable factors, such as eating behavior and blood glucose, which can be used as targets for preventive strategies. These findings underscore the imperative for continued research in this domain to establish effective preventive measures for individuals undergoing psychotropic drug treatments.

Altered amygdalar emotion space in borderline personality disorder normalizes following dialectical behaviour therapy.

BACKGROUND: Borderline personality disorder (BPD) is a mental health condition characterized by an inability to regulate emotions or accurately process the emotional states of others. Previous neuroimaging studies using classical univariate analyses have tied such emotion dysregulation to aberrant activity levels in the amygdala of patients with BPD. However, multivariate analyses have not yet been used to investigate how representational spaces of emotion information may be systematically altered in patients with BPD. METHODS: Patients with BPD performed an emotional face matching task while undergoing MRI before and after a 10-week inpatient program of dialectical behavioural therapy. Representational similarity analysis (RSA) was applied to activity patterns (evoked by angry, fearful, neutral and surprised faces) in the amygdala and temporo-occipital fusiform gyrus of patients with BPD and in the amygdala of healthy controls. RESULTS: We recruited 15 patients with BPD (8 females, 6 males, 1 transgender male) to participate in the study, and we obtained a neuroimaging data set for 25 healthy controls for a comparative analysis. The RSA of the amygdala revealed a negative bias in the underlying affective space (in that activity patterns evoked by angry, fearful and neutral faces were more similar to each other than to patterns evoked by surprised faces), which normalized after therapy. This bias-to-normalization effect was present neither in activity patterns of the temporo-occipital fusiform gyrus of patients nor in amygdalar activity patterns of healthy controls. LIMITATIONS: Larger samples and additional questionnaires would help to better characterize the association between specific aspects of therapy and changes in the neural representational space. CONCLUSION: Our findings suggest a more refined role for the amygdala in the pathological processing of perceived emotions and may provide new diagnostic and prognostic imaging-based markers of emotion dysregulation and personality disorders.Clinical trial registration: DRKS00019821, German Clinical Trials Register (Deutsches Register Klinischer Studien).

Lifestyle behaviors, metabolic disturbances, and weight gain in psychiatric inpatients treated with weight gain-associated medication.

Many psychiatric patients suffer from overweight/obesity and subsequent metabolic disturbances, where psychotropic medication is one of the main contributors. However, the magnitude of weight gain ranges individually, which leads to questioning the role of other contributors like lifestyle factors. The present study investigated several lifestyle factors among psychiatric inpatients, their relation to biological factors, and their predictive capability for weight gain during treatment. Using a naturalistic observational study design, psychiatric inpatients of all diagnoses were followed for 4 weeks from the start of treatment with weight gain-associated medication. N = 163 participants entered the study. Lifestyle factors were assessed by patient self-report questionnaires. Body weight change over time was calculated relative to baseline body weight. Our study provides three main findings: (1) Obesity and/or metabolic syndrome (metSy) were associated with emotional eating (disinhibition), craving for fast food and sweets, and weight cycling. (2) Patients without metSy and normal BMI experienced increased sweets craving (also for women), a more positive attitude towards drugs, and an improvement of affect (also for men). (3) Sex, presence of metSy and/or drug dosage interacted with disinhibition change, sweets craving change (trend), and fast food craving change to predict weight change over time. Furthermore, drug attitude change interacted with BMI, drug dosage, and presence of metSy to predict weight change. Lifestyle factors, especially eating behaviors, are related to metabolic disturbances and predict weight gain in interaction with clinical parameters.

Prevalence of obesity, metabolic syndrome, diabetes and risk of cardiovascular disease in a psychiatric inpatient sample: results of the Metabolism in Psychiatry (MiP) Study.

The information on prevalence of obesity, diabetes, metabolic syndrome (MetS) and cardiovascular risk (CVR) and on sociodemographic variables available in patients with psychiatric diseases about to be treated with weight gain-associated medication (e.g., clozapine, mirtazapine, quetiapine) is limited. In a naturalistic study, psychiatric inpatients (age: 18-75) of all F diagnoses according to ICD-10, who were about to be treated with weight gain-associated medication, were included. Demographic variables were assessed as well as biological parameters to calculate the Body Mass Index (BMI), MetS, diabetes and CVR. A total of 163 inpatients were included (60.1% male; mean age: 39.8 (± 15.1, 18-75 years). The three most common disorders were depression (46.0%), bipolar disorder (20.9%) and drug addiction (20.2%). The three most common pharmacotherapeutic agents prescribed were quetiapine (29.4%), mirtazapine (20.9%) and risperidone (12.9%). Of the included inpatients 30.1% were overweight, 17.2% obese, and 26.9% and 22.4% fulfilled the criteria for a MetS according to the International Diabetes Federation (IDF) and the National Expert Panel on Detection, Evaluation and Treatment of High Blood Cholesterol in Adults (NCEP ATP III), respectively, 3.8% had (pre)diabetes and 8.3% had a moderate and 1.9% a high CVR according to the Prospective Cardiovascular Münster (PROCAM) score. Detailed information is reported on all assessed parameters as well as on subgroup analyses concerning sociodemographic variables. The results suggest that psychiatric patients suffer from multiple metabolic disturbances in comparison to the general population. Monitoring weight, waist circumference, blood pressure and cholesterol regularly is, therefore, highly relevant.

The vicious circle of social exclusion and psychopathology: a systematic review of experimental ostracism research in psychiatric disorders.

Social exclusion (ostracism) is a major psychosocial factor contributing to the development and persistence of psychiatric disorders and is also related to their social stigma. However, its specific role in different disorders is not evident, and comprehensive social psychology research on ostracism has rather focused on healthy individuals and less on psychiatric patients. Here, we systematically review experimental studies investigating psychological and physiological reactions to ostracism in different responses of psychiatric disorders. Moreover, we propose a theoretical model of the interplay between psychiatric symptoms and ostracism. A systematic MEDLINE and PsycINFO search was conducted including 52 relevant studies in various disorders (some of which evaluated more than one disorder): borderline personality disorder (21 studies); major depressive disorder (11 studies); anxiety (7 studies); autism spectrum disorder (6 studies); schizophrenia (6 studies); substance use disorders (4 studies); and eating disorders (2 studies). Psychological and physiological effects of ostracism were assessed with various experimental paradigms: e.g., virtual real-time interactions (Cyberball), social feedback and imagined scenarios. We critically review the main results of these studies and propose the overall concept of a vicious cycle where psychiatric symptoms increase the chance of being ostracized, and ostracism consolidates or even aggravates psychopathology. However, the specificity and stability of reactions to ostracism, their neurobiological underpinnings, determinants, and moderators (e.g., attachment style, childhood trauma, and rejection sensitivity) remain elusive.

[Third Wave Therapies of Cognitive Behavioral Therapy for Obsessive Compulsive Disorder: A Reasonable Add-on Therapy for CBT? State of the Art]. / Therapieformen der Dritten Welle der Verhaltenstherapie bei Zwangsstörungen: Sinnvolle Ergänzung zu KVT? Aktueller Wissensstand.

Cognitive behavioral therapy (CBT) with exposure is the state of the art and most efficient treatment for obsessive compulsive disorder and recommended as treatment of 1st choice according to guidelines. Therapies of the third wave, such as mindfulness based approaches (ACT, MBCT), metacognitive therapy, CBASP or schema therapy, have become more popular over past few years. A small number of studies that investigated some of these therapies show promising results. However, due to the small number of available studies, small sample sizes and methodologic limitations (only a few available RCTs) the evidence of these therapies is insufficient. Above all no study compared these alternative therapies with the well-proven CBT and exposure. Therefore, therapies of the third wave should only be used as add-on therapies to CBT and exposure if individually needed in the treatment of OCD. Future research is absolutely needed.

Association of clinical parameters and polygenic risk scores for body mass index, schizophrenia, and diabetes with antipsychotic-induced weight gain.

Antipsychotic-induced weight gain (AIWG) is a common adverse event in schizophrenia. Genome-wide association studies (GWAS) and polygenic risk scores (PRS) for other diseases or traits are recent approaches to disentangling the genetic architecture of AIWG. 200 patients with schizophrenia treated monotherapeutically with antipsychotics were included in this study. A multiple linear regression analysis with ten-fold crossvalidation was performed to predict the percentage weight change after five weeks of treatment. Independent variables were sex, age, body mass index (BMI) at baseline, medication-associated risk, and PRSs (BMI, schizophrenia, diabetes, and metabolic syndrome). An explorative GWAS analysis was performed on the same subjects and traits. PRSs for BMI (ß = 3.78; p = 0.0041), schizophrenia (ß = 5.38; p = 0.021) and diabetes type 2 (ß = 13.4; p = 0.046) were significantly associated with AIWG. Other significant factors were sex, baseline BMI and medication. Compared to the model without genetic factors, the addition of PRSs for BMI, schizophrenia, and diabetes type 2 increased the goodness of fit by 6.5 %. The GWAS identified the association of three variants (rs10668573, rs10249381 and rs1988834) with AIWG at a genome-wide level of p < 1 · 10-6. Using PRS for schizophrenia, BMI, and diabetes type 2 increased the explained variation of predicted weight gain, compared to a model without PRSs. For more precise results, PRSs derived from other traits (ideally AIWG) should be investigated. Potential risk variants identified in our GWAS need to be further investigated and replicated in independent samples.

Effects of resilience and timing of adverse and adaptive experiences on interpersonal behavior: a transdiagnostic study in a clinical sample.

Adverse childhood experiences (ACE) have been linked to less prosocial behavior during social exclusion in vulnerable groups. However, little is known about the impact of the timing of ACE and the roles of protective factors. Therefore, this study investigated the association of the behavioral response to experimental partial social exclusion with adverse and adaptive experiences across age groups and resilience in clinical groups with persistent depressive disorder and borderline personality disorder, i.e., groups with high ACE, and in healthy controls (HC) (N = 140). Adverse and adaptive experiences during childhood, youth, and adulthood were assessed with the Traumatic Antecedents Questionnaire, and resilience was measured with the Connor Davidson Resilience Scale. A modified version of the Cyberball paradigm was used to assess the direct behavioral response to partial social exclusion. In patients, adverse events during youth (B = - 0.12, p = 0.016) and adulthood (B = - 0.14, p = 0.013) were negatively associated with prosocial behavior, whereas in the HC sample, adaptive experiences during youth were positively associated with prosocial behavior (B = 0.25, p = 0.041). Resilience did not mediate these effects. The findings indicate that critical events during youth may be particularly relevant for interpersonal dysfunction in adulthood.

Association between the behavioral response during social exclusion and recalled childhood maltreatment.

Social exclusion is a critical event for mental health. Patients with interpersonal dysfunction, e.g., with borderline personality disorder (BPD) or persistent depressive disorder (PDD), are particularly vulnerable, often based on their experiences of early adversity in life. The etiological pathways from childhood maltreatment (CM) to current behavior during social exclusion are still underexplored. This cross-diagnostic study investigated the relationship between self-reported CM and behavioral reaction to social exclusion in an experimental paradigm (Cyberball). Data from 140 subjects including patients with BPD and PDD as well as healthy controls were analyzed. The effect of CM (Childhood Trauma Questionnaire, CTQ) on behavior to social exclusion during Cyberball (ball tossing behavior) was analyzed including rejection sensitivity (RS) as a mediator. In the whole sample, the CTQ score (B = -.004, p < .05) as well as the emotional neglect subscore (B = -.016, p < .01) were associated with a reduced ball tossing behavior towards the excluder. There were no significant indirect effects involving RS. These current findings support the relationship between CM and an altered interpersonal response in critical interpersonal situations. Larger cohorts with multidimensional data in social domains are warranted to further investigate the link between CM and current interpersonal dysfunction.

Suicidal behaviors and adverse childhood experiences: A cross-diagnostic study in persistent depressive disorder and borderline personality disorder.

Adverse childhood experiences (ACE) constitute a known risk factor for suicidality. There is a research gap regarding differential patterns of associations between variants of suicidal ideations and behaviors (SIB) and characteristics of ACE in severe mental disorders. This cross-diagnostic study investigates whether SIB are related to ACE subtypes in two high-risk conditions, i.e., persistent depressive disorder (PDD) and borderline personality disorder (BPD). Inpatients with PDD (n = 117; age 40.2 years ± 12.3) and BPD (n = 74; age 26.2 ± 7.9) were assessed with the Columbia-Suicide Severity Rating Scale for suicidal ideations (SI), suicidal behaviors (SB) and actual suicide attempts (SA); ACE were recorded with the Childhood Trauma Questionnaire. In PDD, SI and SA were associated with childhood physical abuse (ORs 7.2 and 2.3, respectively). In BPD, SA were associated with severe experiences of physical abuse (OR 6.5). Weaker yet significant associations were found for childhood emotional abuse in PDD with SB (including SA), and in BPD with SA. Recall of childhood physical abuse may be clinically relevant information for identifying particular risks of SIB. Future studies should investigate these differential patterns in more depth and in terms of causality.

Transdiagnostic analysis of adverse childhood experiences and their association with psychopathology-A TRANS-D conform study.

Transdiagnostic approaches challenge traditional psychiatric classification systems. Adverse childhood experiences (ACE) represent a transdiagnostic risk factor for psychopathology with dose dependency. As different qualities of ACE typically co-occur, we identified ACE patterns to assess their power for predicting psychopathology compared to traditional diagnoses. Following TRANS-D guidelines, we categorized participants (N=360) with persistent depressive disorder (PDD), borderline personality disorder (BPD), or healthy control status (HC) into subcategories defined by ACE pattern, using the Childhood Trauma Questionnaire (CTQ). Improvement of the transdiagnostic vs. diagnostic approach in predicting psychopathology was evaluated in a cross-validated predictive modeling framework focusing on the clinical sample of PDD and BPD patients. Results were externally validated in another transdiagnostic sample (N=138). Seven pattern-based subcategories with distinct ACE profiles were identified in the primary sample and replicated in the validation sample. Patterns cut across diagnostic groups. Predictive modeling showed that diagnoses could not predict depressive symptoms and loneliness. Transdiagnostic constructs systematically predicted all measures. This study showcases ACE as a promising construct for transdiagnostic research. Our data-driven framework identified robust ACE subcategories mapping onto general and interpersonal psychopathology. Patterns of CTQ-based information may provide an approach to integrating information on co-occurring ACE to inform diagnostics and treatment.

Loneliness Is Associated With Lower Self- and Clinician-Rated Levels of Personality Functioning.

Personality disorders (PDs) are associated with interpersonal dysfunction, loneliness, and reduced social embeddedness. This study investigates loneliness and social network size in association with self- and clinician-rated personality functioning regarding the DSM-5's Alternative Model for Personality Disorders (AMPD). Eighty psychiatric inpatients including participants with and without PDs completed the Semi-structured Interview for Personality Functioning, the Level of Personality Functioning Scale - Brief Form, the UCLA Loneliness Scale, and the Social Network Index. Patients with PDs reported more loneliness and personality dysfunctioning than patients without PDs. Social network size did not differ between patient groups and showed lower correlations with personality functioning compared to loneliness. Loneliness was further associated with deficits in personality functioning. Deficits in distinct AMPD domains and loneliness may constitute transdiagnostically relevant factors that are related and mutually reinforcing. This could be important for identifying patients beyond PD diagnoses who are at risk of poor psychosocial functioning and require tailored psychotherapy.

A comprehensive approach to predicting weight gain and therapy response in psychopharmacologically treated major depressed patients: A cohort study protocol.

BACKGROUND: A subgroup of patients with Major Depressive Disorder shows signs of low-grade inflammation and metabolic abberances, while antidepressants can induce weight gain and subsequent metabolic disorders, and lacking antidepressant response is associated with inflammation. OBJECTIVES: A comprehensive investigation of patient phenotypes and their predictive capability for weight gain and treatment response after psychotropic treatment will be performed. The following factors will be analyzed: inflammatory and metabolic markers, gut microbiome composition, lifestyle indicators (eating behavior, physical activity, chronotype, patient characteristics (childhood adversity among others), and polygenic risk scores. METHODS: Psychiatric inpatients with at least moderate Major Depressive Disorder will be enrolled in a prospective, observational, naturalistic, monocentric study using stratified sampling. Ethical approval was obtained. Primary outcomes at 4 weeks will be percent weight change and symptom score change on the Montgomery Asberg Depression Rating Scale. Both outcomes will also be binarized into clinically relevant outcomes at 5% weight gain and 50% symptom score reduction. Predictors for weight gain and treatment response will be tested using multiple hierachical regression for continuous outcomes, and multiple binary logistic regression for binarized outcomes. Psychotropic premedication, current medication, eating behavior, baseline BMI, age, and sex will be included as covariates. Further, a comprehensive analysis will be carried out using machine learning. Polygenic risk scores will be added in a second step to estimate the additional variance explained by genetic markers. Sample size calculation yielded a total amount of N = 171 subjects. DISCUSSION: Patient and physician expectancies regarding the primary outcomes and non-random sampling may affect internal validity and external validity, respectively. Through the prospective and naturalistic design, results will gain relevance to clinical practice. Examining the predictive value of patient profiles for weight gain and treatment response during pharmacotherapy will allow for targeted adjustments before and concomitantly to the start of treatment.

Loneliness is associated with maladaptive schema modes in patients with persistent depressive disorder.

OBJECTIVES: Though loneliness represents a public health concern, this complex unpleasant feeling is commonly neglected in psychiatric care and may constitute a new treatment target in clinical groups particularly prone to feeling lonely and socially isolated, e.g., persistent depressive disorder (PDD). Schema modes encompass a set of distinct cognitive-affective patterns that may contribute to loneliness and social isolation. Aim of this study was to examine the interplay between subjective loneliness and objective social network size with schema modes in patients with PDD as well as healthy controls (HC). METHOD: Sixty-two PDD patients (DSM-5; 35 female, Mage = 40.5, SD = 12.4) and 71 HC (60 female, Mage = 28.1, SD = 10.1) were assessed cross-sectionally using the following self-report measures: UCLA Loneliness Scale, Social Network Index (SNI), and Schema-Mode-Inventory, revised version (SMI-r). Correlational and multiple linear regression analyses were performed. RESULTS: PDD patients reported significantly higher scores of loneliness and maladaptive schema modes and a smaller social network than HC. Loneliness was significantly positively associated with the modes Vulnerable Child, Detached Protector, Bully and Attack, and Punitive Parent, and negatively with Contented Child and Healthy Adult in both groups. In contrast, social network size was only positively associated with the Contented Child mode. CONCLUSION: Loneliness is highly prevalent in PDD and in contrast to social network size associated with maladaptive schema modes. Therapeutically addressing these schema modes with specific techniques may represent a mechanism-based intervention for patients suffering from loneliness and should be investigated in clinical trials.

Suicidal behaviors are associated with loneliness and decrease during inpatient CBASP treatment for persistent depressive disorder.

Suicidal ideation and behavior (SIB) are common in persistent depressive disorder (PDD) and may be related to interpersonal dysfunction. While SIB has been extensively analyzed in other high-risk disorders (e.g., borderline personality disorder, BPD), data on interpersonal risk factors and effects of specific psychotherapy on SIB in PDD are limited. This study aimed at investigating loneliness versus social network size as interpersonal risk factors for SIB in PDD and assess effects of cognitive behavioral analysis system of psychotherapy (CBASP) on this domain. In a prospective naturalistic study, 64 PDD patients were assessed, who underwent a 10-weeks inpatient CBASP program. Our clinical comparison group consisted of 34 BPD patients, who underwent a 10-weeks inpatient dialectical behavioral therapy (DBT) program. SIB was measured with the Columbia-Suicide Severity Rating Scale (C-SSRS), loneliness and social network size with the UCLA Loneliness Scale (UCLA) and the Social Network Index (SNI). Twenty-six PDD patients (40.6% of the PDD sample) showed current SIB at baseline in comparison with 26 BPD patients (76.5% of the BPD sample). While in suicidal PDD patients, SIB was associated with perceived social isolation (UCLA), but not with reduced social network size (SNI), this association was not observed in suicidal BPD patients. In PDD, SIB significantly decreased during CBASP. In conclusion, SIB appears to be associated with interpersonal factors related to loneliness in PDD, but not in BPD. CBASP showed first positive evidence in reducing SIB in PDD, but our pilot data need replication studies.

Association of loneliness and social network size in adulthood with childhood maltreatment: Analyses of a population-based and a clinical sample.

BACKGROUND: Perceived loneliness and objective social network size are related but distinct factors, which negatively affect mental health and are prevalent in patients who have experienced childhood maltreatment (CM), for example, patients with persistent depressive disorder (PDD) and borderline personality disorder (BPD). This cross-diagnostic study investigated whether loneliness, social network size, or both are associated with self-reported CM. METHODS: Loneliness and social network size were assessed in a population-based sample at two time points (Study 1, N = 509), and a clinical group of patients with PDD or BPD (Study 2, N = 190) using the UCLA Loneliness Scale and the Social Network Index. Further measures were the Childhood Trauma Questionnaire, and standard depression rating scales. Linear regression analyses were applied to compare associations of loneliness or social network size with CM. Multiple mediation analyses were used to test the relative importance of loneliness and social network size in the relationship between CM and depressive symptoms. RESULTS: In both studies, loneliness showed a stronger association than social network size with CM. This was particularly marked for emotional neglect and emotional abuse. Loneliness but not social network size mediated the relationship between CM and depressive symptoms. CONCLUSIONS: Loneliness is particularly associated with self-reported CM, and in this respect distinct from the social network size. Our results underline the importance of differentiating both psychosocial constructs and suggest focusing on perceived loneliness and its etiological underpinnings by mechanism-based psychosocial interventions.

Sequential Social Exclusion in a Novel Cyberball Paradigm Leads to Reduced Behavioral Repair and Plasma Oxytocin in Borderline Personality Disorder.

Patients with borderline personality disorder (BPD) show interpersonal deficits, and altered emotional and oxytocin (OT) responses to social exclusion (Cyberball). In order to extend previous findings, this study applies a novel Cyberball variant. Nineteen BPD patients and 56 healthy controls (HC) played Cyberball for 2 minutes of inclusion, 5 minutes of partial exclusion by one of two co-players, and 2 minutes total exclusion by both. Plasma OT levels at baseline and after 7, 9, 15, and 40 minutes were measured with radioimmunoassay. BPD patients showed a greater aversive reaction and a trend for greater OT reduction after social exclusion than HC. BPD patients also tended to play less frequently with the excluder. Though limited by our sample size, we partially replicate previous findings. Our preliminary behavioral data support the notion of an altered OT regulation and reduced capacity for social cooperation in BPD.

Biobanking in everyday clinical practice in psychiatry-The Munich Mental Health Biobank.

Translational research on complex, multifactorial mental health disorders, such as bipolar disorder, major depressive disorder, schizophrenia, and substance use disorders requires databases with large-scale, harmonized, and integrated real-world and research data. The Munich Mental Health Biobank (MMHB) is a mental health-specific biobank that was established in 2019 to collect, store, connect, and supply such high-quality phenotypic data and biosamples from patients and study participants, including healthy controls, recruited at the Department of Psychiatry and Psychotherapy (DPP) and the Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital of the Ludwig-Maximilians-University (LMU), Munich, Germany. Participants are asked to complete a questionnaire that assesses sociodemographic and cross-diagnostic clinical information, provide blood samples, and grant access to their existing medical records. The generated data and biosamples are available to both academic and industry researchers. In this manuscript, we outline the workflow and infrastructure of the MMHB, describe the clinical characteristics and representativeness of the sample collected so far, and reveal future plans for expansion and application. As of 31 October 2021, the MMHB contains a continuously growing set of data from 578 patients and 104 healthy controls (46.37% women; median age, 38.31 years). The five most common mental health diagnoses in the MMHB are recurrent depressive disorder (38.78%; ICD-10: F33), alcohol-related disorders (19.88%; ICD-10: F10), schizophrenia (19.69%; ICD-10: F20), depressive episode (15.94%; ICD-10: F32), and personality disorders (13.78%; ICD-10: F60). Compared with the average patient treated at the recruiting hospitals, MMHB participants have significantly more mental health-related contacts, less severe symptoms, and a higher level of functioning. The distribution of diagnoses is also markedly different in MMHB participants compared with individuals who did not participate in the biobank. After establishing the necessary infrastructure and initiating recruitment, the major tasks for the next phase of the MMHB project are to improve the pace of participant enrollment, diversify the sociodemographic and diagnostic characteristics of the sample, and improve the utilization of real-world data generated in routine clinical practice.

Altered immediate behavioral response to partial social exclusion: A cross-diagnostic study in patients with borderline personality disorder and persistent depressive disorder.

Borderline personality disorder (BPD) and persistent depressive disorder (PDD) are related to interpersonal dysfunction which might become particularly apparent in situations of social exclusion (SE). While emotional responses to SE have been widely explored, behavioral data in clinical samples are lacking. In this cross-diagnostic study, we applied a variant of the Cyberball paradigm to investigate the dynamic behavioral response to partial SE in BPD and PDD. BPD patients (n = 36), PDD patients (n = 34) and age and gender matched healthy controls (HC) (total n = 70) played experimental (i.e. partial SE Cyberball) and control (i.e. inclusion only) conditions in randomized order. While all groups tended to increase ball tosses towards the excluder in response to SE, this behavioral turn was significantly lower in PDD (p = .03, d = -.30) and trendwise in BPD patients (p = .06, d = -.28). Thus, an altered immediate response to partial SE was observed in BPD and PDD, in addition to the emotional reactions. This study supports the hypothesis of a behavioral coping with SE in BPD and PDD that might be problematic in the long run and provides an experimental paradigm for future research on interpersonal dysfunction.

Borderline Personality Features in Patients With Persistent Depressive Disorder and Their Effect on CBASP Outcome.

Introduction: The Cognitive Behavioral Analysis System of Psychotherapy (CBASP) was developed for the treatment of persistent depressive disorder (PDD), where comorbid personality disorders (PD) are common. In contrast to other PD, comorbid borderline personality disorder (BPD) is often regarded as an exclusion criterion for CBASP. In clinical settings, however, subthreshold BPD symptoms are prevalent in PDD and may not be obvious at an initial assessment prior to therapy. As data on their impact on CBASP outcome are very limited, this naturalistic study investigates BPD features in PDD and their relevance for the therapeutic outcome of a multimodal CBASP inpatient program. Method: Sixty patients (37 female, mean age 38.3, SD 11.9 years) meeting DSM-5 criteria for PDD underwent a 10 weeks CBASP inpatient program. BPD features (i.e., number of fulfilled DSM-5 criteria) together with childhood maltreatment and rejection sensitivity were assessed on admission. Before and after treatment, severity of depressive symptoms was measured using the Montgomery-Asberg Depression Rating Scale (MADRS) and the Beck Depression Inventory (BDI-II). BPD symptoms were assessed using the Borderline Personality Disorder Severity Index (BPDSI-IV) and the Borderline Symptom List (BSL-23). Intercorrelations of baseline characteristics and symptom change during treatment were analyzed. Results: Patients with PDD met a mean of 1.5 (SD 1.6) BPD criteria with 4 patients fulfilling ≥5 criteria. BPD symptoms and depressive symptoms showed a strong correlation, and BPD symptoms were additionally correlated with emotional abuse and rejection sensitivity. There was no association between BPD features at baseline and improvement on the MADRS, however, BPD features tended to be associated with a lower response according to the BDI-II score after 10 weeks of treatment. Furthermore, BPD symptoms (i.e., abandonment, impulsivity and affective instability) were reduced after 10 weeks of CBASP treatment. Discussion: BPD symptoms are prevalent in patients with PDD and highly intertwined with the experience of depressive symptoms. In this naturalistic study in PDD, BPD features at baseline did not limit the clinical response to CBASP. Future studies may extend the spectrum of PDD to comorbid subsyndromal or even syndromal BPD in order to develop tailored psychotherapeutic treatment for these complex affective disorders.