Comprehensive Psychopathological Assessment Based on the Association for Methodology and Documentation in Psychiatry (AMDP) System: Development, Methodological Foundation, Application in Clinical Routine, and Research

Originalbeiträge (Originals). Psychotherapeutic inpatient depression treatment in open versus closed group format

OBJECTIVE

Controversy exists about the comparative efficacy of different group formats, e. g., open versus closed. Most of the findings come from outpatient, closed group research. In practice, the open format is more widely used. This monocentric study aims to compare the efficacy as well as group cohesion during inpatient group psychotherapy for depression delivered in an open versus closed format.

METHODS

291 depressed inpatients (ageM= 55.7, SD = 11) of a psychosomatic-rehabilitation clinic were consecutively assigned to either open (n = 117) or closed (n = 174) cognitive-behavioral groups, further subdivided into groups based on length of the stay. Using multilevel models, we examined depression and group cohesion concerning changes in patients' random effects over time.

RESULTS

Both group formats showed a reduction in symptomatology (d = 1.8). A significant group format x time interaction in favor of the closed format was found regarding group cohesion.

CONCLUSION

While group cohesion improved in the closed format only, we did not find any significant difference between group formats regarding their efficacy. Further research should focus on randomized controlled trials comparing both formats directly.

Female sex and burden of depressive symptoms predict insufficient response to telemedical treatment in adult attention-deficit/hyperactivity disorder: results from a naturalistic patient cohort during the COVID-19 pandemic

Background

Attention-deficit/hyperactivity disorder (ADHD) is a chronic neuropsychiatric disorder, that typically manifests itself during childhood and persists in a majority of the affected individuals into adulthood, negatively affecting physical and mental health. Previous studies have shown detrimental effects of the COVID-19 pandemic on mental health in individuals with ADHD. Thus, telemedicine could be a useful tool for optimizing treatment-outcomes in adult ADHD by improving treatment adherence and persistence. However, data on telemedical treatment outcomes in adult patients with ADHD is scarce.

Methods

We report here the sub-cohort analysis of a naturalistic cohort of adult patients (N = 254) recruited between April 2020-April 2021, comparing the effects of telemedical treatment on participants either clinically diagnosed with depression (N = 54) or ADHD (N = 67). Participants were asked to fill out the WHO-5 repetitively during >12 weeks of telemedical treatment. Furthermore scores of WHO-5, SCL-90R and BDI-II, psychopathology, psychosocial functioning, sociodemographic data, medical records and a feedback survey were analyzed for both groups and compared. Participants with ADHD were further stratified according to the development of well-being during the study period in order to identify factors associated with a satisfactory treatment outcome.

Results

Participants with depression reported a significant improvement of well-being during the course of the study, while no such effect could be seen in participants with ADHD on a group level. Despite the good outcome, participants with depression were more severely affected at baseline, with significantly worse psychopathology and a more precarious labor and financial situation. A detailed analysis of ADHD participants without clinical improvement revealed significantly higher BDI-II scores than for ADHD participants with a satisfactory outcome (p = 0.03, Mann-Whitney-U-Test), suggesting successful treatment was hampered by the combination of ADHD and depressive symptoms. Furthermore, female sex among ADHD patients was correlated with an unfavorable treatment outcome during the course of the study (p = 0.001, Spearman correlation) as well as living with children (p = 0.02, Spearman correlation).

Conclusion

Besides screening for depressive symptoms before telemedical treatment, future research should address the specific needs of female ADHD patients as these patients may be at a particularly high risk of being overburdened with family work.

Expert opinions on criminal law cases in Switzerland - an empirical pilot study

BACKGROUND

Criminal courts of law rely on forensic psychiatric/psychological reports when clarifying legal questions of culpability, dangerousness, and the need for therapeutic measures for offenders. Incorrect decisions owing to a lack of expert report quality and comprehensibility can have serious consequences for potential victims, offenders themselves, or societal use of resources. In this pilot study, we started from the hypothesis that forensic psychiatric/psychological reports meet the minimum requirements for legally admissible expert opinions.

METHODS

Within the framework of assessment by the Concordat Expert Commission of Northwestern and Central Switzerland, 58 adult criminal law reports were randomly selected. Two researchers extracted and analyzed standardized data descriptively. For quality assurance, they followed the extended codebook of the Research and Development Department of the Zürich Office of Corrections and Reintegration.

RESULTS

Psychopathological findings accounted for only 1% of the reports, which seemed problematic considering that these findings reflect the personality traits of offenders. Furthermore, only 7% of offenders underwent physical examinations, and the reasons for not performing physical examinations were noted in fewer than half of these offenders. Of 26 sexual offenders, only one was physically assessed. Additional imaging or neurophysiological examinations (e.g. electroencephalogram) were conducted in only one offender. Furthermore, published baseline recidivism rates were used in only 37.9% of the reports.

CONCLUSIONS

The results of this study suggest that current forensic psychiatric assessment is deficient. The infrequent use of published recidivism rates for risk communication denies prosecutors and judges solid reference values for the actual recidivism probability. Moving away from somatic medicine contradicts the federal court judgment, which disqualifies psychologists from providing a forensic report owing to their lack of expertise in physical examination. The authors recommend the multidisciplinary involvement of forensic psychiatrists and psychologists and, in certain cases, of specialists in somatic medicine to produce accurate and well-founded reports.

Structural alterations of the insula in depression patients - A 7-Tesla-MRI study

INTRODUCTION

The insular cortex is part of a network of highly connected cerebral "rich club" - regions and has been implicated in the pathophysiology of various psychiatric and neurological disorders, of which major depressive disease is one of the most prevalent. "Rich club" vulnerability can be a contributing factor in disease development. High-resolution structural subfield analysis of insular volume in combination with cortical thickness measurements and psychological testing might elucidate the way in which the insula is changed in depression.

MATERIAL AND METHODS

High-resolution structural images of the brain were acquired using a 7T-MRI scanner. The mean grey matter volume and cortical thickness within the insular subfields were analysed using voxel-based morphometry (VBM) and surface analysis techniques respectively. Insular subfields were defined according to the Brainnetome Atlas for VBM - and the Destrieux-Atlas for cortical thickness - analysis. Thirty-three patients with confirmed major depressive disease, as well as thirty-one healthy controls matched for age and gender, were measured. The severity of depression in MDD patients was measured via a BDI-II score and objective clinical assessment (AMDP). Intergroup statistical analysis was performed using ANCOVA. An intragroup multivariate regression analysis of patient psychological test results was calculated. Corrections for multiple comparisons was performed using FDR.

RESULTS

Significant differences between groups were observed in the left granular dorsal insula according to VBM-analysis. AMDP-scores positively correlated with cortical thickness in the right superior segment of the circular insular sulcus.

CONCLUSIONS

The combination of differences in grey matter volume between healthy controls and patients with a positive correlation of cortical thickness with disease severity underscores the insula's role in the pathogeneses of MDD. The connectivity hub insular cortex seems vulnerable to disruption in context of affective disease.

Combining machine learning algorithms for prediction of antidepressant treatment response

OBJECTIVES

Predictors for unfavorable treatment outcome in major depressive disorder (MDD) applicable for treatment selection are still lacking. The database of a longitudinal multicenter study on 1079 acutely depressed patients, performed by the German research network on depression (GRND), allows supervised and unsupervised learning to further elucidate the interplay of clinical and psycho-sociodemographic variables and their predictive impact on treatment outcome phenotypes.

EXPERIMENTAL PROCEDURES

Treatment response was defined by a change of HAM-D 17-item baseline score ≥50% and remission by the established threshold of ≤7, respectively, after up to eight weeks of inpatient treatment. After hierarchical symptom clustering and stratification by treatment subtypes (serotonin reuptake inhibitors, tricyclic antidepressants, antipsychotic, and lithium augmentation), prediction models for different outcome phenotypes were computed with random forest in a cross-center validation design. In total, 88 predictors were implemented.

RESULTS

Clustering revealed four distinct HAM-D subscores related to emotional, anxious, sleep, and appetite symptoms, respectively. After feature selection, classification models reached moderate to high accuracies up to 0.85. Highest accuracies were observed for the SSRI and TCA subgroups and for sleep and appetite symptoms, while anxious symptoms showed poor predictability.

CONCLUSION

Our results support a decisive role for machine learning in the management of antidepressant treatment. Treatment- and symptom-specific algorithms may increase accuracies by reducing heterogeneity. Especially, predictors related to duration of illness, baseline depression severity, anxiety and somatic symptoms, and personality traits moderate treatment success. However, prospectives application of machine learning models will be necessary to prove their value for the clinic.

Suicide risk after psychiatric discharge: study protocol of a naturalistic, long-term, prospective observational study

Background

Suicide risk of psychiatric patients has proven to be strongly increased in the months after discharge from a psychiatric hospital. Despite this high risk, there is a lack of systematic research on the causes of this elevated suicide risk as well as a lack of treatment and intervention for patients at high risk after discharge. The main objective of this pilot study is, firstly, to examine the factors contributing to the elevated suicide risk and, secondly, to investigate whether an additional setting of care starting at discharge may reduce suicidality.

Methods

In this multi-centre pilot study, treatment as usual is complemented by an additional 18-month post-discharge setting of care for psychiatric patients at high risk for suicide. Two groups of patients differing in the amount of post-discharge personal contacts will be compared. One group of patients will be offered continuous personal contacts after discharge (months 1–6: monthly contacts; months 6–18: every 2 months) while another group of patients will receive contacts only at months 6, 12, and 18 after discharge. Data on suicidality, as well as associated with other symptoms, treatment, and significant events, will be collected. In the case of health-related severe events, the setting of care allows the patient to have the opportunity to connect with the doctor or therapist treating the patient.

Discussion

The results of this study will contribute to identifying critical factors raising suicide risk after discharge and will demonstrate the potential influence on suicide prevention of a setting of care with regular personal contact after discharge.

Trial registration

ZMVI1-2517FSB135 – funded by the German Federal Ministry of Health.

Specialized group intervention for compulsive exercise in inpatients with eating disorders: feasibility and preliminary outcomes

BACKGROUND

Patients with eating disorders (ED) often suffer from compulsive exercise behavior, which is associated with lower short-term response to treatment and poorer long-term outcome. Evidence-based interventions specifically targeting compulsive exercise behavior have been scarce so far. We developed a manualized group therapeutic approach integrating cognitive-behavioral therapy, exercise therapy and exposure with response management to promote healthy exercise behavior. Our objective was to examine the feasibility and acceptance of this new approach as add-on to regular inpatient treatment in a pilot study. Additionally, we wanted to estimate preliminary effect sizes.

METHODS

Thirty-two female, adolescent and adult eating disordered inpatients were recruited. According to the 4th ed. of the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV), twenty-six patients met criteria for Anorexia nervosa (AN), two for Bulimia nervosa and four for eating disorder not otherwise specified. Semi-structured interviews were conducted for qualitative evaluation of feasibility and acceptance of the new intervention. Patients completed the Commitment to Exercise Scale (CES) and the Compulsive Exercise Test (CET) for assessment of compulsive exercise, the Eating Disorder Inventory-2 for assessment of eating disorder pathology, the Beck Depression Inventory-II and Brief Symptom Inventory for assessment of depressive and general psychopathology and the Emotion Regulation Skills Questionnaire for assessment of emotion regulation before the beginning and at the end of the group intervention. Additionally, weight gain was monitored.

RESULTS

Feasibility of our approach was confirmed. All patients reported a high satisfaction with both structure and content of the group. Between pre- and post-intervention, patients showed significant reductions in compulsive exercise (effect size CES: 1.44; effect size CET total: 0.93), drive for thinness (effect size: 0.48), depressive symptoms (effect size: 0.36), general psychopathology (effect size: 0.29) and acceptance of emotions (effect size: - 0.62). Patients with AN also showed significant mean weight gain during the intervention (effect size: - 0.44).

CONCLUSIONS

Results of our pilot study indicate that our integrative approach to compulsive exercise in ED patients might represent a promising new therapeutic option. Feasibility and acceptance of the intervention were confirmed. Preliminary effect sizes on most outcomes were promising. As improvements in Body-mass-index, eating disorder and general psychopathology are also to be expected by routine inpatient treatment, a large randomized trial is currently underway to evaluate the efficacy of this new intervention.