Sex-dependent effects of long-term clozapine or haloperidol medication on red blood cells and liver iron metabolism in Sprague Dawley rats as a model of metabolic syndrome

BACKGROUND

Patients with liver diseases often have some form of anemia. Hematological dyscrasias are known side effects of antipsychotic drug medication and the occurrence of agranulocytosis under clozapine is well described. However, the sex-dependent impact of clozapine and haloperidol on erythrocytes and symptoms like anemia, and its association with hepatic iron metabolism has not yet been completely clarified. Therefore, in the present study, we investigated the effect of both antipsychotic drugs on blood parameters and iron metabolism in the liver of male and female Sprague Dawley rats.

METHODS

After puberty, rats were treated orally with haloperidol or clozapine for 12 weeks. Blood count parameters, serum ferritin, and liver transferrin bound iron were determined by automated counter. Hemosiderin (Fe³⁺) was detected in liver sections by Perl's Prussian blue staining. Liver hemoxygenase (HO-1), 5'aminolevulinate synthase (ALAS1), hepcidin, heme-regulated inhibitor (HRI), cytochrome P4501A1 (CYP1A1) and 1A2 (CYP1A2) were determined by Western blotting.

RESULTS

We found anemia with decreased erythrocyte counts, associated with lower hemoglobin and hematocrit, in females with haloperidol treatment. Males with clozapine medication showed reduced hemoglobin and increased red cell distribution width (RDW) without changes in erythrocyte numbers. High levels of hepatic hemosiderin were found in the female clozapine and haloperidol medicated groups. Liver HRI was significantly elevated in male clozapine medicated rats. CYP1A2 was significantly reduced in clozapine medicated females.

CONCLUSIONS

The characteristics of anemia under haloperidol and clozapine medication depend on the administered antipsychotic drug and on sex. We suggest that anemia in rats under antipsychotic drug medication is a sign of an underlying liver injury induced by the drugs. Changing hepatic iron metabolism under clozapine and haloperidol may help to reduce these effects of liver diseases.

European Psychiatric Association guidance on treatment of cognitive impairment in schizophrenia

Background

Although cognitive impairment is a core symptom of schizophrenia related to poorer outcomes in different functional domains, it still remains a major therapeutic challenge. To date, no comprehensive treatment guidelines for cognitive impairment in schizophrenia are implemented.

Methods

The aim of the present guidance paper is to provide a comprehensive meta-review of the current available evidence-based treatments for cognitive impairment in schizophrenia. The guidance is structured into three sections: pharmacological treatment, psychosocial interventions, and somatic treatments.

Results

Based on the reviewed evidence, this European Psychiatric Association guidance recommends an appropriate pharmacological management as a fundamental starting point in the treatment of cognitive impairment in schizophrenia. In particular, second-generation antipsychotics are recommended for their favorable cognitive profile compared to first-generation antipsychotics, although no clear superiority of a single second-generation antipsychotic has currently been found. Anticholinergic and benzodiazepine burdens should be kept to a minimum, considering the negative impact on cognitive functioning. Among psychosocial interventions, cognitive remediation and physical exercise are recommended for the treatment of cognitive impairment in schizophrenia. Noninvasive brain stimulation techniques could be taken into account as add-on therapy.

Conclusions

Overall, there is definitive progress in the field, but further research is needed to develop specific treatments for cognitive impairment in schizophrenia. The dissemination of this guidance paper may promote the development of shared guidelines concerning the treatment of cognitive functions in schizophrenia, with the purpose to improve the quality of care and to achieve recovery in this population.

European Psychiatric Association guidance on assessment of cognitive impairment in schizophrenia

Background

Impairment in a wide range of cognitive abilities has been consistently reported in individuals with schizophrenia. Both neurocognitive and social cognitive deficits are thought to underlie severe functional disabilities associated with schizophrenia. Despite the key role in schizophrenia outcome, cognition is still poorly assessed in both research and clinical settings.

Methods

In this guidance paper, we provide a systematic review of the scientific literature and elaborate several recommendations for the assessment of cognitive functions in schizophrenia both in research settings and in real-world clinical practice.

Results

Expert consensus and systematic reviews provided guidance for the optimal assessment of cognitive functions in schizophrenia. Based on the reviewed evidence, we recommend a comprehensive and systematic assessment of neurocognitive and social cognitive domains in schizophrenia, in all phases of the disorder, as well as in subjects at risk to develop psychosis. This European Psychiatric Association guidance recommends not only the use of observer reports but also self-reports and interview-based cognitive assessment tools. The guidance also provides a systematic review of the state of the art of assessment in the first episode of psychosis patients and in individuals at risk for psychosis.

Conclusion

The comprehensive review of the evidence and the recommendations might contribute to advance the field, allowing a better cognitive assessment, and avoiding overlaps with other psychopathological dimensions. The dissemination of this guidance paper may promote the development of shared guidelines concerning the assessment of cognitive functions in schizophrenia, with the purpose to improve the quality of care and to obtain recovery.

A global field study of the international classification of diseases (ICD-11) mood disorders clinical descriptions and diagnostic guidelines

BACKGROUND

We report results of an internet-based field study evaluating the diagnostic guidelines for ICD-11 mood disorders. Accuracy of clinicians' diagnostic judgments applying draft ICD-11 as compared to the ICD-10 guidelines to standardized case vignettes was assessed as well as perceived clinical utility.

METHODS

1357 clinician members of the World Health Organization's Global Clinical Practice Network completed the study in English, Spanish, Japanese or Russian. Participants were randomly assigned to apply ICD-11 or ICD-10 guidelines to one of eleven pairs of case vignettes.

RESULTS

Clinicians using the ICD-11 and ICD-10 guidelines achieved similar levels of accuracy in diagnosing mood disorders depicted in vignettes. Those using the ICD-11 were more accurate in identifying depressive episode in recurrent depressive disorder. There were no statistically significant differences detected across classifications in the accuracy of identifying dysthymic or cyclothymic disorder. Circumscribed problems with the proposed ICD-11 guidelines were identified including difficulties differentiating bipolar type I from bipolar type II disorder and applying revised severity ratings to depressive episodes. Clinical utility of ICD-11 bipolar disorders was found to be significantly lower than for ICD-10 equivalent categories.

LIMITATIONS

Standardized case vignettes were manipulated to evaluate specific changes. The degree of accuracy of clinicians' diagnostic judgments may not reflect clinical decision-making with patients.

CONCLUSIONS

Alignment of the ICD-11 with current research appears to have been achieved without sacrificing diagnostic accuracy or clinical utility though specific training may be necessary as ICD-11 is implemented worldwide. Areas in which the ICD-11 guidelines did not perform as intended resulted in further revisions.

Establishing a Mental Health Surveillance in Germany: Development of a framework concept and indicator set

In the course of the recognition of mental health as an essential component of population health, the Robert Koch Institute has begun developing a Mental Health Surveillance (MHS) system for Germany. MHS aims to continuously report data for relevant mental health indicators, thus creating a basis for evidence-based planning and evaluation of public health measures. In order to develop a set of indicators for the adult population, potential indicators were identified through a systematic literature review and selected in a consensus process by international and national experts and stakeholders. The final set comprises 60 indicators which, together, represent a multidimensional public health framework for mental health across four fields of action. For the fifth field of action 'Mental health promotion and prevention' indicators still need to be developed. The methodology piloted proved to be practicable. Strengths and limitations will be discussed regarding the search and definition of indicators, the scope of the indicator set as well as the participatory decision-making process. Next steps in setting up the MHS will be the operationalisation of the single indicators and their extension to also cover children and adolescents. Given assured data availability, the MHS will contribute to broadening our knowledge on population mental health, supporting a targeted promotion of mental health and reducing the disease burden in persons with mental disorders.

Upscaling e-mental health in Europe: a six-country qualitative analysis and policy recommendations from the eMEN project

E-mental health (eMH) encompasses the use of digital technologies to deliver, support, or enhance mental health services. Despite the growing evidence for the effectiveness of eMH interventions, the process of implementation of eMH solutions in healthcare remains slow throughout Europe. To address this issue, the e-Mental Health Innovation and Transnational Implementation Platform North-West Europe (eMEN) project was initiated to increase the dissemination and quality of eMH services in Europe. In this project, status analyses regarding eMH in the six participating countries (i.e., Belgium, France, Germany, Ireland, The Netherlands, and the UK) were conducted and eight recommendations for eMH were developed. Expert teams from the six participating countries conducted status analyses regarding the uptake of eMH based on a narrative literature review and stakeholder interviews. Based on these status analyses, the eMEN consortium developed eight policy recommendations to further support the implementation of eMH in Europe. The status analyses showed that the participating countries are in different stages of implementing eMH into mental healthcare. Some barriers to implementing eMH were common among countries (e.g., a limited legal and regulatory framework), while others were country-specific (e.g., fragmented, federal policies). The policy recommendations included fostering awareness, creating strong political commitment, and setting reliable standards related to ethics and data security. The eMEN project has provided the initial recommendations to guide political and regulatory processes regarding eMH. Further research is needed to establish well-tailored implementation strategies and to assess the generalizability of the recommendations beyond the countries involved in the eMEN project.

Quality indicators for mental healthcare in the Danube region: results from a pilot feasibility study

Quality indicators are vital for monitoring the transformation of institution-based mental health services towards the provision of person-centered mental healthcare. While several mental healthcare quality indicators have been identified as relevant and valid, their actual usability and utility for routine monitoring healthcare quality over time is significantly determined by the availability and trustworthiness of the underlying data. In this feasibility study, quality indicators that have been systematically identified for use in the Danube region countries of Bulgaria, the Czech Republic, Hungary, and Serbia were measured on the basis of existing mental healthcare data in the four countries. Data were collected retrospectively by means of the best available, most standardized, trustworthy, and up-to-date data in each country. Out of 21 proposed quality indicators, 18 could be measured in Hungary, 17 could be measured in Bulgaria and in the Czech Republic, and 8 could be measured in Serbia. The results demonstrate that a majority of quality indicators can be measured in most of the countries by means of already existing data, thereby demonstrating the feasibility of quality measurement and regular quality monitoring. However, data availability and usability are scattered across countries and care sectors, which leads to variations in the quality of the quality indicators themselves. Making the planning and outputs of national mental healthcare reforms more transparent and evidence-based requires (trans-)national standardization of healthcare quality data, their routine availability and standardized assessment, and the regular reporting of quality indicators.

The integrative function of a transnational policy and roadmap for action planning in implementing digital mental health

Abstract Body

In times of global crisis like the present Covid-19 pandemic, digital technology is rapidly conquering the health and mental health & care sector, speeding up e-Mental Health (eMH) implementation on a regional, national and global scale. Making this an organized move, guidance and regulation, legislation and training, but basically also awareness and acceptance building need to ensure the use of efficient, safe and high-quality eMH products and services. Special attention needs to focus on broadening public and professional eMH literacy, providing needs-tailored approaches for target groups, and training mental health workforce and services. Guidance, evaluation and involvement of relevant stakeholders should help to identify how citizens will best benefit from eMH&Care in its various forms. The Transnational Policy for e-Mental Health, a guidance document for European policymakers and stakeholders has been developed by the Interreg-funded eMEN project (www.nweurope.eu/emen) in six EU countries to promote implementation of high-quality eMH & care across NW-Europe. Project partners from Belgium, France, Germany, Ireland, the Netherlands and the UK contributed to product and policy-guidance development, promoting communication and research. eMEN is currently continuing its work in the Interreg-funded Capitalisation phase to scaling up the implementation of eMH&Care. The Transnational Policy within the scope of national information and training sessions on eMH will be promoted for action planning and implementation by policymakers and stakeholders at the national level. Further meetings will also take place at the European level to promote and support implementation of eMH&Care in NW-Europe and beyond.

Disclosure

No significant relationships.

Effects of high-frequency prefrontal rTMS on heart frequency rates and blood pressure in schizophrenia

BACKGROUND

Repetitive transcranial magnetic stimulation (rTMS) is a safe non-invasive neuromodulation technique used for the treatment of various neuropsychiatric disorders. The effect of rTMS applied to the cortex on autonomic functions has not been studied in detail in patient cohorts, yet patients who receive rTMS may have disease-associated impairments in the autonomic system and may receive medication that may pronounce autonomic dysfunctions.

METHODS

Using data from the 'rTMS for the Treatment of Negative Symptoms in Schizophrenia' (RESIS) trial we evaluated the effect of rTMS applied to the left dorsolateral prefrontal cortex (DLPFC) on autonomic nervous system-related parameters such as blood pressure (BP) and heart rate (HR) in both reclining and standing postures from screening up to 105 days after intervention among patients with schizophrenia.

RESULTS

157 patients received either active (n = 76) or sham (n = 81) rTMS treatment. Apart from gender no significant group differences were observed. During intervention, Linear Mixed Model (LMM) analyses showed no significant time × group interactions nor time effects for any of the variables (all p > 0.055). During the whole trial beside a significant time × group interaction for diastolic BP (p = 0.017) in the standing posture, no significant time × group interactions for other variables (all p > 0.140) were found.

CONCLUSION

These secondary analyses of the largest available rTMS trial on the treatment of negative symptoms in schizophrenia did not show a significant effect of active rTMS compared to sham rTMS on heart rate or blood pressure, neither during the intervention period nor during the follow-up period.

Changes from ICD-10 to ICD-11 and future directions in psychiatric classification

This article provides a brief overview of the changes from ICD-10 to ICD-11 regarding the classification of mental, behavioral, or neurodevelopmental disorders. These changes include a new chapter structure, new diagnostic categories, changes in diagnostic criteria, and steps towards dimensionality. Additionally, we review evaluative field studies of ICD-11, which provide preliminary evidence for higher reliability and clinical utility of ICD-11 compared with ICD-10. Despite the extensive revision process, changes from ICD-10 to ICD-11 were relatively modest in that both systems are categorical, classifying mental phenomena based on self-reported or clinically observable symptoms. Other recent approaches to psychiatric nosology and classification (eg, neurobiology-based or hierarchical) are discussed. To meet the needs of different user groups, we propose expanding the stepwise approach to diagnosis introduced for some diagnostic categories in ICD-11, which includes categorical and dimensional elements.


EPA guidance on treatment of negative symptoms in schizophrenia

Negative symptoms of schizophrenia remain a major therapeutic challenge. The progress in the conceptualization and assessment is not yet fully reflected by treatment research. Nevertheless, there is a growing evidence base regarding the effects of biological and psychosocial interventions on negative symptoms. The importance of the distinction between primary and secondary negative symptoms for treatment selection might seem evident, but the currently available evidence remains limited. Good clinical practice is recommended for the treatment of secondary negative symptoms. Antipsychotic treatment should be optimized to avoid secondary negative symptoms due to side effects and due to positive symptoms. For most available interventions, further evidence is needed to formulate sound recommendations for primary, persistent, or predominant negative symptoms.

However, based on currently available evidence recommendations for the treatment of undifferentiated negative symptoms (including both primary and secondary negative symptoms) are provided. Although it has proven difficult to formulate an evidence-based recommendation for the choice of an antipsychotic, a switch to a second-generation antipsychotic should be considered for patients who are treated with a first-generation antipsychotic. Antidepressant add-on to antipsychotic treatment is an option. Social skills training is recommended as well as cognitive remediation for patients who also show cognitive impairment. Exercise interventions also have shown promise. Finally, access to treatment and to psychosocial rehabilitation should be ensured for patients with negative symptoms. Overall, there is definitive progress in the field, but further research is clearly needed to develop specific treatments for negative symptoms.

EPA guidance on assessment of negative symptoms in schizophrenia

Background

During the last decades, a renewed interest for negative symptoms (NS) was brought about by the increased awareness that they interfere severely with real-life functioning, particularly when they are primary and persistent.

Methods

In this guidance paper, we provide a systematic review of the evidence and elaborate several recommendations for the conceptualization and assessment of NS in clinical trials and practice.

Results

Expert consensus and systematic reviews have provided guidance for the optimal assessment of primary and persistent negative symptoms; second-generation rating scales, which provide a better assessment of the experiential domains, are available; however, NS are still poorly assessed both in research and clinical settings.

This European Psychiatric Association (EPA) guidance recommends the use of persistent negative symptoms (PNS) construct in the context of clinical trials and highlights the need for further efforts to make the definition of PNS consistent across studies in order to exclude as much as possible secondary negative symptoms. We also encourage clinicians to use second-generation scales, at least to complement first-generation ones.

The EPA guidance further recommends the evidence-based exclusion of several items included in first-generation scales from any NS summary or factor score to improve NS measurement in research and clinical settings. Self-rated instruments are suggested to further complement observer-rated scales in NS assessment.

Several recommendations are provided for the identification of secondary negative symptoms in clinical settings.

Conclusions

The dissemination of this guidance paper may promote the development of national guidelines on negative symptom assessment and ultimately improve the care of people with schizophrenia.

The clinical characterization of the patient with primary psychosis aimed at personalization of management

The current management of patients with primary psychosis worldwide is often remarkably stereotyped. In almost all cases an antipsychotic medica-tion is prescribed, with second-generation antipsychotics usually preferred to first-generation ones. Cognitive behavioral therapy is rarely used in the vast majority of countries, although there is evidence to support its efficacy. Psychosocial interventions are often provided, especially in chronic cases, but those applied are frequently not validated by research. Evidence-based family interventions and supported employment programs are seldom implemented in ordinary practice. Although the notion that patients with primary psychosis are at increased risk for cardiovascular diseases and diabetes mellitus is widely shared, it is not frequent that appropriate measures be implemented to address this problem. The view that the management of the patient with primary psychosis should be personalized is endorsed by the vast majority of clinicians, but this personalization is lacking or inadequate in most clinical contexts. Although many mental health services would declare themselves "recovery-oriented", it is not common that a focus on empowerment, identity, meaning and resilience is ensured in ordinary practice. The present paper aims to address this situation. It describes systematically the salient domains that should be considered in the characterization of the individual patient with primary psychosis aimed at personalization of management. These include positive and negative symptom dimensions, other psychopathological components, onset and course, neurocognition and social cognition, neurodevelopmental indicators; social functioning, quality of life and unmet needs; clinical staging, antecedent and concomitant psychiatric conditions, physical comorbidities, family history, history of obstetric complications, early and recent environmental exposures, protective factors and resilience, and internalized stigma. For each domain, simple assessment instruments are identified that could be considered for use in clinical practice and included in standardized decision tools. A management of primary psychosis is encouraged which takes into account all the available treatment modalities whose efficacy is supported by research evidence, selects and modulates them in the individual patient on the basis of the clinical characterization, addresses the patient's needs in terms of employment, housing, self-care, social relationships and education, and offers a focus on identity, meaning and resilience.

An organization- and category-level comparison of diagnostic requirements for mental disorders in ICD-11 and DSM-5

In 2013, the American Psychiatric Association (APA) published the 5th edition of its Diagnostic and Statistical Manual of Mental Disorders (DSM-5). In 2019, the World Health Assembly approved the 11th revision of the International Classification of Diseases (ICD-11). It has often been suggested that the field would benefit from a single, unified classification of mental disorders, although the priorities and constituencies of the two sponsoring organizations are quite different. During the development of the ICD-11 and DSM-5, the World Health Organization (WHO) and the APA made efforts toward harmonizing the two systems, including the appointment of an ICD-DSM Harmonization Group. This paper evaluates the success of these harmonization efforts and provides a guide for practitioners, researchers and policy makers describing the differences between the two systems at both the organizational and the disorder level. The organization of the two classifications of mental disorders is substantially similar. There are nineteen ICD-11 disorder categories that do not appear in DSM-5, and seven DSM-5 disorder categories that do not appear in the ICD-11. We compared the Essential Features section of the ICD-11 Clinical Descriptions and Diagnostic Guidelines (CDDG) with the DSM-5 criteria sets for 103 diagnostic entities that appear in both systems. We rated 20 disorders (19.4%) as having major differences, 42 disorders (40.8%) as having minor definitional differences, 10 disorders (9.7%) as having minor differences due to greater degree of specification in DSM-5, and 31 disorders (30.1%) as essentially identical. Detailed descriptions of the major differences and some of the most important minor differences, with their rationale and related evidence, are provided. The ICD and DSM are now closer than at any time since the ICD-8 and DSM-II. Differences are largely based on the differing priorities and uses of the two diagnostic systems and on differing interpretations of the evidence. Substantively divergent approaches allow for empirical comparisons of validity and utility and can contribute to advances in the field.

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.

Classification and Diagnosis of Schizophrenia or Other Primary Psychotic Disorders: Changes from ICD-10 to ICD-11 and Implementation in Clinical Practice

From January 2022, the WHO member countries shall start implementing the mortality and morbidity statistics (MMS) version of the eleventh revision of the International Classification of Diseases (ICD-11). Regarding mental, behavioural or neurodevelopmental disorders, there are substantial changes from ICD-10 to ICD-11. The subchapter for schizophrenia or other primary psychotic disorders has changed due to a revised structure, new diagnostic criteria, and the introduction of dimensional elements (i.e., course and symptom qualifiers). The aim of this manuscript is twofold. First, we review changes from ICD-10 to ICD-11 in the classification and diagnosis of schizophrenia or other primary psychotic disorders, including findings from recent field studies. Second, we provide an overview of approaches to the implementation of ICD-11 in clinical practice. Critical elements for transition from ICD-10 to ICD-11 include the use of digital tools, education and training, stakeholder involvement, national adaptations, and continuous evaluation.

The long-term antipsychotic treatment of schizophrenia: A selective review of clinical guidelines and clinical case examples

There is a long-lasting debate regarding the long-term antipsychotic treatment of schizophrenia. The most frequently advocated strategy is continued antipsychotic maintenance treatment (i.e., continuous treatment with a constant dose of antipsychotic medication after symptom remission). Yet, because of the potential side effects of continued antipsychotic medication, other treatment strategies such as targeted intermittent treatment (i.e., stepwise drug discontinuation and early drug intervention in case of prodromal symptoms or early warning signs) have been discussed. In this manuscript, we review recommendations regarding the long-term antipsychotic treatment of schizophrenia from six evidence-based clinical guidelines. In line with the current state of research, all six clinical guidelines recommend continued antipsychotic maintenance treatment. Recommendations regarding other aspects of long-term antipsychotic treatment (e.g., the dosage of antipsychotic medication for long-term treatment, the minimum duration of antipsychotic long-term treatment, and discontinuation strategies) are more vague and heterogeneous. Additionally, we provide clinical case examples to illustrate different course types of patients exposed to targeted intermittent treatment. Finally, we discuss gaps in current clinical guidelines and future research avenues in antipsychotic maintenance treatment.

COVID-19: сonsequences for mental health and the use of e-Mental health options

The current COVID-19 pandemic is associated with fear, insecurity, and perceived social isolation worldwide. In this editorial, we discuss the influence of the COVID-19 pandemic on mental health among the general population and among particularly vulnerable groups (e.g., people with pre-existing mental illness). Additionally, we explore the role of e-mental health options in times of social distancing. Preliminary empirical evidence indicates that a wide range of people have experienced mental health difficulties due to the COVID-19 pandemic and corresponding infection-control measures. E-mental health options are a feasible means of addressing psychological distress and mental illness during the pandemic. Thus, these options should be made available in a timely fashion. Future multidisciplinary research is needed to develop e-mental health strategies that specifically focus on the consequences of social isolation, economic hardship and fear of infection.

[Quality psychiatry and destigmatization : Can quality psychiatry and psychotherapy contribute to destigmatization of mental illnesses?]

BACKGROUND

Among the many reasons for the stigmatization of mental illnesses and those affected by it, the supposedly insufficient treatability plays a central role. In fact, treatability is not worse compared to various somatic diseases, although different factors impair the use and thus the effect of optimal treatment options. This is where measures to optimize treatment and care within the framework of quality psychiatry and psychotherapy come into play, whose resource-backed systematic introduction and implementation can contribute to overcoming stigma.

OBJECTIVE

This article examines whether and how the quality of psychiatric treatment and care can contribute to reducing stigmatizing attitudes in the general public and the stigma experienced or anticipated by persons with mental illnesses.

METHODS

Components of quality assured psychiatric treatment and care were identified at the conceptual level, which can hypothetically contribute to the destigmatization of persons with mental illnesses.

RESULTS AND CONCLUSION

The components of quality psychiatry that can contribute to the destigmatization of persons with mental illnesses include the implementation of regularly updated evidence-based treatment guidelines, the individualization of psychiatric treatment (precision psychiatry) and the application of quality indicators within the framework of comprehensive quality management. The postulated relationships must be empirically verified, further analyzed and communicated to the public to be made systematically useful for the destigmatization of mental illnesses.

Promoting stigma coping and empowerment in patients with schizophrenia and depression: results of a cluster-RCT

There is a need for interventions supporting patients with mental health conditions in coping with stigma and discrimination. A psycho-educational group therapy module to promote stigma coping and empowerment (STEM) was developed and tested for efficacy in patients with schizophrenia or depression. 30 clinical centers participated in a cluster-randomized clinical trial, representing a broad spectrum of mental health care settings: in-patient (acute treatment, rehabilitation), out-patient, and day-hospitals. As randomized, patients in the intervention group clusters/centers received an illness-specific eight sessions standard psychoeducational group therapy plus three specific sessions on stigma coping and empowerment ('STEM'). In the control group clusters the same standard psychoeducational group therapy was extended to 11 sessions followed by one booster session in both conditions. In total, N = 462 patients were included in the analysis (N = 117 with schizophrenia spectrum disorders, ICD-10 F2x; N = 345 with depression, ICD-10 F31.3-F31.5, F32-F34, and F43.2). Clinical and stigma-related measures were assessed before and directly after treatment, as well as after 6 weeks, 6 months, and 12 months (M12). Primary outcome was improvement in quality of life (QoL) assessed with the WHO-QOL-BREF between pre-assessment and M12 analyzed by mixed models and adjusted for pre-treatment differences. Overall, QoL and secondary outcome measures (symptoms, functioning, compliance, internalized stigma, self-esteem, empowerment) improved significantly, but there was no significant difference between intervention and control group. The short STEM module has proven its practicability as an add-on in different settings in routine mental health care. The overall increase in empowerment in both, schizophrenia and depression, indicates patients' treatment benefit. However, factors contributing to improvement need to be explored.The study has been registered in the following trial registers. ClinicalTrials.gov: https://register.clinicaltrials.gov/ Registration number: NCT01655368. DRKS: https://www.drks.de/drks_web/ Registration number: DRKS00004217.

Sex-dependent alterations of dopamine receptor and glucose transporter density in rat hypothalamus under long-term clozapine and haloperidol medication

OBJECTIVE

Sex-dependent disturbances of peripheral glucose metabolism are known complications of antipsychotic drug treatment. The influence of long-term clozapine and haloperidol medication on hypothalamus, maintaining aspects of internal body homeostasis, has not yet been completely clarified.

METHODS

After puberty, male and female Sprague Dawley rats were fed orally with ground pellets containing haloperidol (1 mg/kgBW/day) or clozapine (20 mg/kgBW/day) for 12 weeks. The hypothalamic protein expression of dopamine receptors D2R and D4R, melanocortin receptor MC4R, and glucose transporters Glut1 and Glut3 was examined. Glucose, glycogen, lactate, and pyruvate levels were determined, also malondialdehyde equivalents as markers of oxidative stress.

RESULTS

D2R expression was increased in the male haloperidol and clozapine group but decreased in females medicated with clozapine. D4R expression was upregulated under clozapine medication. While females showed increased Glut1, Glut3 was elevated in both male and female clozapine-medicated animals. We found no changes of hypothalamic malondialdehyde, glycogen, and MC4R. Hypothalamic lactate was elevated in the female clozapine group.

CONCLUSION

Clozapine sex-dependently affects the expression of D2R, Glut1, and Glut3. The upregulation of the glucose transporters indicates glucose deprivation in the endothelial cells and consequently in astrocytes and neurons. Increased hypothalamic lactate in females under clozapine points to enhanced glycolysis with a higher glucose demand to produce the required energy. Haloperidol did not change the expression of the glucose transporters and upregulated D2R only in males.