Reconstructing transient pressures in pipe networks from local observations by using physics-informed neural networks.

Reconstructing transient states presents significant challenges, particularly within complex pipe networks. These challenges arise due to nonlinear behaviours, inherent uncertainties in the system, and limitations in data availability. This work proposed a novel approach employing Physics-Informed Neural Networks (PINN) to reconstruct transient states in pipe networks, even with limited sensor data. To integrate the complex topology of pipe network systems into neural networks, the method integrates the PINN framework with an efficient elastic water column (EWC) model which can be simply formulated across diverse pipe network configurations. The results showed the proposed PINN method can accurately reconstruct the pressure and flow variation at unmonitored locations, even provided with noisy data at a limited number of locations. One of its advantages lies in its ability to effectively capture extreme values that hold potential significance for pipe infrastructure, providing a promising avenue for pipe failure analysis and enhanced safety management. Laboratory experiments have also been conducted to validate the efficacy and reliability of this method, thus further underlining its potential for real-world applications.

Prediction of estimated risk for bipolar disorder using machine learning and structural MRI features.

BACKGROUND: Individuals with bipolar disorder are commonly correctly diagnosed a decade after symptom onset. Machine learning techniques may aid in early recognition and reduce the disease burden. As both individuals at risk and those with a manifest disease display structural brain markers, structural magnetic resonance imaging may provide relevant classification features. METHODS: Following a pre-registered protocol, we trained linear support vector machine (SVM) to classify individuals according to their estimated risk for bipolar disorder using regional cortical thickness of help-seeking individuals from seven study sites (N = 276). We estimated the risk using three state-of-the-art assessment instruments (BPSS-P, BARS, EPIbipolar). RESULTS: For BPSS-P, SVM achieved a fair performance of Cohen's κ of 0.235 (95% CI 0.11-0.361) and a balanced accuracy of 63.1% (95% CI 55.9-70.3) in the 10-fold cross-validation. In the leave-one-site-out cross-validation, the model performed with a Cohen's κ of 0.128 (95% CI -0.069 to 0.325) and a balanced accuracy of 56.2% (95% CI 44.6-67.8). BARS and EPIbipolar could not be predicted. In post hoc analyses, regional surface area, subcortical volumes as well as hyperparameter optimization did not improve the performance. CONCLUSIONS: Individuals at risk for bipolar disorder, as assessed by BPSS-P, display brain structural alterations that can be detected using machine learning. The achieved performance is comparable to previous studies which attempted to classify patients with manifest disease and healthy controls. Unlike previous studies of bipolar risk, our multicenter design permitted a leave-one-site-out cross-validation. Whole-brain cortical thickness seems to be superior to other structural brain features.

Young people at risk for developing bipolar disorder: Two-year findings from the multicenter prospective, naturalistic Early-BipoLife study.

Early identification and intervention of individuals with an increased risk for bipolar disorder (BD) may improve the course of illness and prevent long­term consequences. Early-BipoLife, a multicenter, prospective, naturalistic study, examined risk factors of BD beyond family history in participants aged 15-35 years. At baseline, positively screened help-seeking participants (screenBD at-risk) were recruited at Early Detection Centers and in- and outpatient depression and attention-deficit/hyperactivity disorder (ADHD) settings, references (Ref) drawn from a representative cohort. Participants reported sociodemographics and medical history and were repeatedly examined regarding psychopathology and the course of risk factors. N = 1,083 screenBD at-risk and n = 172 Ref were eligible for baseline assessment. Within the first two years, n = 31 screenBD at-risk (2.9 %) and none of Ref developed a manifest BD. The cumulative transition risk was 0.0028 at the end of multistep assessment, 0.0169 at 12 and 0.0317 at 24 months (p = 0.021). The transition rate with a BD family history was 6.0 %, 4.7 % in the Early Phase Inventory for bipolar disorders (EPIbipolar), 6.6 % in the Bipolar Prodrome Interview and Symptom Scale-Prospective (BPSS-FP) and 3.2 % with extended Bipolar At-Risk - BARS criteria). In comparison to help-seeking young patients from psychosis detection services, transition rates in screenBD at-risk participants were lower. The findings of Early-BipoLife underscore the importance of considering risk factors beyond family history in order to improved early detection and interventions to prevent/ameliorate related impairment in the course of BD. Large long-term cohort studies are crucial to understand the developmental pathways and long-term course of BD, especially in people at- risk.

Effects of Early Clozapine Treatment on Remission Rates in Acute Schizophrenia (The EARLY Trial): Protocol of a Randomized-Controlled Multicentric Trial.

BACKGROUND: Quick symptomatic remission after the onset of psychotic symptoms is critical in schizophrenia treatment, determining the subsequent disease course and recovery. In this context, only every second patient with acute schizophrenia achieves symptomatic remission within three months of initiating antipsychotic treatment. The potential indication extension of clozapine-the most effective antipsychotic-to be introduced at an earlier stage (before treatment-resistance) is supported by several lines of evidence, but respective clinical trials are lacking. METHODS: Two hundred-twenty patients with acute non-treatment-resistant schizophrenia will be randomized in this double-blind, 8-week parallel-group multicentric trial to either clozapine or olanzapine. The primary endpoint is the number of patients in symptomatic remission at the end of week 8 according to international consensus criteria ('Andreasen criteria'). Secondary endpoints and other assessments comprise a comprehensive safety assessment (i. e., myocarditis screening), changes in psychopathology, global functioning, cognition, affective symptoms and quality of life, and patients' and relatives' views on treatment. DISCUSSION: This multicentre trial aims to examine whether clozapine is more effective than a highly effective second-generation antipsychotics (SGAs), olanzapine, in acute schizophrenia patients who do not meet the criteria for treatment-naïve or treatment-resistant schizophrenia. Increasing the likelihood to achieve symptomatic remission in acute schizophrenia can improve the overall outcome, reduce disease-associated burden and potentially prevent mid- and long-term disease chronicity.

Machine Learning Prediction of Estimated Risk for Bipolar Disorders Using Hippocampal Subfield and Amygdala Nuclei Volumes.

The pathophysiology of bipolar disorder (BD) remains mostly unclear. Yet, a valid biomarker is necessary to improve upon the early detection of this serious disorder. Patients with manifest BD display reduced volumes of the hippocampal subfields and amygdala nuclei. In this pre-registered analysis, we used structural MRI (n = 271, 7 sites) to compare volumes of hippocampus, amygdala and their subfields/nuclei between help-seeking subjects divided into risk groups for BD as estimated by BPSS-P, BARS and EPIbipolar. We performed between-group comparisons using linear mixed effects models for all three risk assessment tools. Additionally, we aimed to differentiate the risk groups using a linear support vector machine. We found no significant volume differences between the risk groups for all limbic structures during the main analysis. However, the SVM could still classify subjects at risk according to BPSS-P criteria with a balanced accuracy of 66.90% (95% CI 59.2-74.6) for 10-fold cross-validation and 61.9% (95% CI 52.0-71.9) for leave-one-site-out. Structural alterations of the hippocampus and amygdala may not be as pronounced in young people at risk; nonetheless, machine learning can predict the estimated risk for BD above chance. This suggests that neural changes may not merely be a consequence of BD and may have prognostic clinical value.

[Assessment of Direct (COVID-19-Related) and Collateral, Psychosocial Pandemic Consequences for Vulnerable Groups by the Example of Serious Mental Illness]. / Erfassung direkter (COVID-19-bezogener) und kollateraler, psychosozialer Folgen für vulnerable Gruppen am Beispiel schwerer psychischer Erkrankungen.

The indirect pandemic consequences could by far exceed the direct effects of SARS-CoV-2 in terms of costs, morbidity, and mortality. This essay includes a proposed method (matrix) to visualize virus-related and psychosocial risks for different populations side by side in a systematic and concise manner. COVID-19-related and psychosocial vulnerability, stressors, direct and indirect consequences are derived on a theoretical and empirical basis. An exemplary quantification of the matrix for the vulnerable group of people with severe mental illness revealed a very high risk for severe COVID-19 consequences, as well as a pronounced risk for psychosocial collateral effects. The proposed approach could be further discussed for a risk-graded pandemic management, crisis recovery, and future preparedness to adequately address psychosocial collateral effects and better identify and protect vulnerable groups in this regard.

Families with Mentally Ill Parents and Their Partners: Overlaps in Psychiatric Symptoms and Symptom Coping.

Partners in families with a mentally ill parent often experience psychiatric symptoms themselves. Recent studies indicate that there might be overlaps in disorder-specific symptom areas between partners and spouses. This study aimed at examining associations in psychiatric symptoms and symptom coping in partners in families with a mentally ill parent, e.g., having a psychiatric diagnosis according to the International Classification of Diseases (ICD-10). Furthermore, a moderation of the psychiatric symptoms of the parent with a mental illness on the association in symptom coping was assumed. Families with at least one parent with a mental illness were recruited into the longitudinal "Children of Mentally Ill Parents" (CHIMPS) trial at seven clinical centers in Germany and Switzerland. In total, 139 families were included in the current study. Psychiatric symptoms were assessed using the Brief Symptom Inventory (BSI), Clinical Global Impression scale (CGI), Global Assessment of Functioning (GAF), and Patient Health Questionnaire (PHQ), while symptom coping strategies were measured using the Freiburger Fragebogen zur Krankheitsverarbeitung (FKV). Regression analyses have indicated an association in psychiatric symptoms between mentally ill parents and their partners concerning psychosocial functioning, somatic, and stress-related symptoms. Additionally, one symptom coping strategy of the partners was predicted by the same strategy of the parent with a mental illness. The results emphasize the importance of screening and providing support to parents burdened by the mental disorder of their partners, especially regarding the children in these partnerships.

Prevention of First-Episode Psychosis in People at Clinical High Risk: A Randomized Controlled, Multicentre Trial Comparing Cognitive-Behavioral Therapy and Clinical Management Plus Low-Dose Aripiprazole or Placebo (PREVENT).

BACKGROUND: There is limited knowledge of whether cognitive-behavioral therapy (CBT) or second-generation antipsychotics (SGAs) should be recommended as the first-line treatment in individuals at clinical high risk for psychosis (CHRp). HYPOTHESIS: To examine whether individual treatment arms are superior to placebo and whether CBT is non-inferior to SGAs in preventing psychosis over 12 months of treatment. STUDY DESIGN: PREVENT was a blinded, 3-armed, randomized controlled trial comparing CBT to clinical management plus aripiprazole (CM + ARI) or plus placebo (CM + PLC) at 11 CHRp services. The primary outcome was transition to psychosis at 12 months. Analyses were by intention-to-treat. STUDY RESULTS: Two hundred eighty CHRp individuals were randomized: 129 in CBT, 96 in CM + ARI, and 55 in CM + PLC. In week 52, 21 patients in CBT, 19 in CM + ARI, and 7 in CM + PLC had transitioned to psychosis, with no significant differences between treatment arms (P = .342). Psychopathology and psychosocial functioning levels improved in all treatment arms, with no significant differences. CONCLUSIONS: The analysis of the primary outcome transition to psychosis at 12 months and secondary outcomes symptoms and functioning did not demonstrate significant advantages of the active treatments over placebo. The conclusion is that within this trial, neither low-dose aripiprazole nor CBT offered additional benefits over clinical management and placebo.

Validation of the Recovering Quality of Life (ReQoL) questionnaires for patients with anxiety, obsessive-compulsive, stress-related, somatoform and personality disorders in Germany.

The health-related quality of life (HrQoL) and the recovery process of persons with mental health conditions can be assessed with the Recovering Quality of Life questionnaires (ReQoL-20 and ReQoL-10). The aim of this study was to assess the psychometric properties of the German version of the ReQoL measures in patients with anxiety, obsessive-compulsive, stress-related, and somatoform disorders and in patients with disorders of adult personality and behavior. This study was based on a sub-sample of patients that were included in a randomized controlled trial evaluating an evidence-based, stepped and coordinated care service model for mental disorders (RECOVER). The internal consistency was assessed using Cronbach's Alpha and the test-retest reliability was assessed by the intra-class correlation coefficient (ICC). Concurrent validity was assessed by Pearson's Correlation Coefficient and the known-group validity was assessed using the Cohen's d. The internal consistency of the ReQoL-20 and ReQoL-10 was excellent and good with Cronbach's alpha of α = 0.91 and α = 0.83 for all items. The test-retest reliability of the ReQoL measures was moderate with ICC of r = 0.72 to 0.74. The concurrent validity of the ReQoL measures with the Global Severity Index was overall high with a correlation coefficient of r = -0.70. In conclusion, for patients with anxiety, obsessive-compulsive, stress-related, somatoform and personality disorders, the German version of the ReQoL measures is valid and reliable for the assessment of HrQoL and the recovery process.

Psychometric evaluation of the German version of the Recovering Quality of Life (ReQoL) measures in patients with affective disorders.

BACKGROUND: The generic self-reported Recovering Quality of Life (ReQoL) measures were developed for measuring recovery-focused health-related quality of life (HrQoL) in persons with mental health conditions. The aim of this study was to assess the psychometric properties of the German version of the ReQoL measures in patients with affective disorders in Germany. METHODS: Data from a patient sub-sample in a randomized controlled trial have been used (N = 393). The internal consistency and the test-retest reliability of the ReQoL measures were assessed using Cronbach's Alpha and the intra-class correlation coefficient (ICC). The concurrent validity and the known-group validity of the ReQoL measures were assessed using Pearson's Correlation coefficient and Cohen's d. The responsiveness was assessed using Glass' Δ and the standardized response mean (SRM). RESULTS: The reliability among the items of the ReQoL-20 was overall excellent. The ICC of the ReQoL-20 was r = 0.70, indicating moderate test-retest reliability. The concurrent validity of the ReQoL-20 with the clinical measure PHQ-9 was strong with a correlation coefficient of r = - 0.76. The known-group validity of the ReQoL-20 using PHQ-9 cut-off points was large with an effect size of d = 1.63. The ReQoL measures were sensitive to treatment response and remission of symptoms measured by the PHQ-9 with large effect sizes/SRM. DISCUSSION: The psychometric properties of the ReQoL measures for the assessment of patients with affective disorders were overall good. With the ReQoL, valid and reliable measures for the assessment of recovery-focused HrQoL for persons with affective disorders are available in German language.

Excess costs of mental disorders by level of severity.

INTRODUCTION: Mental disorders are highly prevalent in Germany, and associated with decreased quality of life for those affected as well as high economic burden for the society. The purpose of this study was to determine the excess costs of mental disorders and to examine how these differ with respect to disease severity. METHODS: We analyzed mean 6-month costs using the baseline data from the RECOVER trial in Hamburg, Germany, which evaluates an innovative stepped-care model for mental disorders. Four severity levels were classified based on the current level of mental illness, loss of functioning, and psychiatric diagnosis. In this work, direct costs (outpatient, inpatient, and social/informal care) and indirect costs (sick leave, unemployment, and early retirement) were estimated using interview-based data on health care utilization and productivity losses. Excess costs were determined by matching a comparison group of the German general population without mental disorders. Group differences in sociodemographic covariates and somatic comorbidities were balanced using entropy balancing. Excess costs by severity levels were estimated using generalized linear models (GLM) with gamma distribution and log-link function. RESULTS: Overall, the RECOVER group included n = 816 and the comparison group included n = 3226 individuals. Mean total 6-month excess costs amounted to 19,075€, with higher indirect excess costs (13,331€) than direct excess costs (5744€) in total excess costs. The excess costs increased with increasing disease severity, ranging from 6,123€ with mild disease severity (level 1) to 31,883€ with severe mental illness (level 4). Indirect excess costs ranged from 5612€ in level 1 to 21,399€ in level 4, and were statistically significant for all disease severity levels. In contrast, direct excess costs were only statistically significant for the levels 2 to 4, and ranged from 511€ in level 1 to 10,485€ in level 4. The main cost drivers were hospital stays (level 2-4), sick leave and unemployment (all levels), and early retirement (level 3-4). DISCUSSION: Mental disorders are associated with high costs that increase with the level of disease severity, which was also shown for individual ICD-10 diagnosis groups. Due to their influence on costs, indirect costs and disease severity levels should be considered in future cost-of-illness studies of mental disorders. CLINICAL TRIAL REGISTRATION: clinicaltrials.gov, trial registration number NCT03459664.

Service users' perceptions of relevant and helpful components of an integrated care concept (ACCESS) for psychosis.

Introduction: Psychotic disorders have a significant impact on patients' lives and their families, and long-term treatment with individually tailored multimodal combinations of therapies is often required. Integrated care (IC) concepts such as the "Hamburg Model (ACCESS)" with a focus on psychotic disorders, includes different (therapeutic) components with pharmaco- and psychotherapy, family involvement, home treatment and the option of using a 24/7 crisis hotline. All components are offered by a therapeutically-oriented assertive community treatment (TACT) team in a need-adapted manner. So far, however, little is known about which specific components are regarded as especially relevant and helpful by the users of IC. Methods: Patients currently participating in IC completed a questionnaire as part of the continuous quality assurance study (ACCESS II) in which they were asked to rate the different components of treatment according to their relevance and helpfulness, considering the individual's unique experiences with IC and needs in mental health care. Furthermore, they were asked to make suggestions regarding additional helpful components of treatment. Results: Fifty patients participated in this survey (23% of the patients currently participating in the IC concept). For participants, the most helpful and important factors were having the same therapist in the long-term and the 24/7 crisis telephone. Additional components suggested by patients included more addiction-specific therapies and increased focus on vocational rehabilitation and integration. Conclusion: From the perspective of the users of IC, long-term care from a trusted therapist with whom there is a therapeutic relationship and the possibility to reach someone they already know from the TACT team 24/7 serves as the best basis for effective care, fostering trust, understanding, and open communication. In contrast, home treatment remains a relevant aspect of evidence-based care for people with severe mental illness, but perhaps surprisingly, is not viewed as the most important issue.

Remission with or without comorbid substance use disorders in early psychosis: long-term outcome in integrated care (ACCESS III study).

Introduction: Schizophrenia-Spectrum-Disorders are associated with poor long-term outcome as well as disability and often severely affect the lives of patients and their families often from symptom onset. Up to 70% of first episode psychosis (FEP) patients suffer from comorbid substance use disorders (SUD). We aimed at studying the course of illness in FEP patients within evidence-based care, with and without comorbid SUD, to examine how decreased, remitted or persistent substance use impacted rates of a combined symptomatic and functional long-term recovery compared with patients without SUD. Methods: ACCESS III is an integrated care model for FEP or patients in the early phase of non-affective and affective psychotic disorders. Treatment trajectories of patients, who had been in ACCESS care for 1 year, with and without SUD were compared with regard to the course of illness and quality of life using Mixed Model Repeated Measures (MMRM) and recovery rates were compared using binary logistic regression. Change in substance use was coded as either persistent, decreased/remitted or no use. Results: ACCESS III was a prospective 1-year study (N = 120) in patients aged 12-29 years. Of these, 74 (61.6%) had a comorbid SUD at admission. There were no group differences regarding the course of illness between patients with or without comorbid SUD or between patients with a substance abuse or substance dependence. The only outcome parameter that was affected by SUD was quality of life, with larger improvement found in the group without substance use (p = 0.05) compared to persistent and remitted users. Using LOCF, 44 patients (48.9%) fulfilled recovery criteria at the endpoint; recovery did not differ based on substance use status. Discussion: SUD and especially substance dependence are common in psychotic disorders even in FEP patients. Evidence-based integrated care led to long-term improvement in patients with comorbid SUD and rate of recovery did not differ for patients with substance use.

[Mental Diseases in Adolescence - Approaches of Treatment and Clinical Insights]. / Psychische Erkrankungen in der Adoleszenz ­ Behandlungsansätze und klinische Erfahrungen.

Adolescents and young adults with mental illness have an increased risk of long-term unfavourable development and show high clinical severity and multiple psychosocial needs at an early age. In this context, several specific transitional psychiatric treatment services have been developed during the last years. The experience gained so far in adolescent psychiatry shows that a close interdisciplinary cooperation of child and adolescent psychiatry and adult psychiatry is necessary to address interface problems with the aim of a successful transition, as well as to prevent the development of severe and chronicmental illnesses. At the same time, there are many structural and content-related challenges that need to be integrated and addressed. In this review, different treatment models are presented and the requirements for successful transition psychiatry are discussed in the context of the existing evidence.

Mediators of quality of life change in people with severe psychotic disorders treated in integrated care: ACCESS II study.

BACKGROUND: Patients with severe psychotic disorders exhibit a severely reduced quality of life (QoL) at all stages of the disease. Integrated care often led to an improvement in QoL. However, the specific mediators of QoL change are not yet well understood. METHODS: The ACCESS II study is a prospective, long-term study investigating the effectiveness of an integrated care program for people with severe psychotic disorders (IC-TACT) that includes Therapeutic Assertive Community Treatment within a care network of in- and outpatient services at the University Medical Center Hamburg-Eppendorf, Germany. We examined longitudinal associations between QoL and the hypothesized mediators of change (i.e., negative symptoms, depression, and anxiety), using cross-lagged panel models. RESULTS: The sample includes 418 severely ill patients treated in IC-TACT for at least 1 year. QoL increased, whereas symptom severity decreased significantly from baseline to 6-month follow-up (p-values ≤ 0.001), and remained stable until 12-month follow-up. QoL and symptom severity demonstrated significant auto-correlated effects and significant cross-lagged effects from QoL at baseline to negative symptoms (6 months, ß = -0.20, p < 0.001) to QoL (12 months, ß = -0.19, p < 0.01) resulting in a significant indirect, mediated effect. Additionally, negative symptoms after 6 months had a significant effect on the severity of depression after 12 months (ß = 0.13, p < 0.05). CONCLUSIONS: Negative symptoms appear to represent an important mechanism of change in IC-TACT indicating that improvement of QoL could potentially be achieved through optimized intervention on negative symptoms. Moreover, this may lead to a reduction in the severity of depression after 12 months.

Clinical Trial Data: Both Parents Having Psychiatric Symptoms as Risk Factor for Children's Mental Illness.

Children of mentally ill parents represent a particularly vulnerable risk group for the development of mental illness. This study examines whether there is a predictive association between children's psychiatric symptomatology and (1) the clinical diagnosis according to the International Statistical Classification of Diseases and Related Health Problems (ICD-10) of their mentally ill parent as well as (2) to families both parents showing psychiatric symptoms. The study is part of the multicenter controlled trial project "Children of Mentally Ill Parents" (CHIMPS). For this purpose, the psychiatric symptomatology of the mentally ill parent (N = 196) and his or her partner (N = 134) as well as the psychiatric symptomatology of their children aged 4 to 18 years (N = 290) was measured using clinical rated ICD-10-diagnosis, self-rated Brief Symptom Inventory (BSI), and Child Behavior Checklist (CBCL). Using multilevel analyses, the severity of the parental psychiatric symptomatology (BSI) was identified as a significant predictor of children's psychiatric symptomatology (CBCL). Children of parents with a personality disorder (ICD-10) were not more affected than children of parents with another ICD-10-diagnosis. However, children with two parents showing psychiatric symptoms (CBCL) were significantly more affected than children with one mentally ill parent. The results of this study support the well-known view that parental mental illness is a risk factor for children's psychiatric symptoms. Therefore, increased support, especially in high-risk families, both parents having psychiatric symptoms, is highly necessary and should be implemented in the future psychotherapeutic family care.

Health-related quality of life in severe psychotic disorders during integrated care: 5-year course, prediction and treatment implications (ACCESS II).

PURPOSE: Studies on outcomes mapping Quality of Life (QoL) as patient-reported outcome over a longer period in severe psychotic disorders are scarce. However, such data would be particularly important for structuring, implementing and operating effective and efficient care models and for promoting satisfaction with care, service engagement and adherence. METHODS: The ACCESS II study is a prospective long-term study of an integrated care model for people with severe psychotic disorders. The model includes Therapeutic Assertive Community Treatment within a cross-sectoral and interdisciplinary network. This publication analyses the course of QoL assessed with the Q-LES-Q-18 using a mixed model for repeated measures. RESULTS: Mapping the course of QoL in N = 329 participants, there is a significant increase in the first 6 weeks of treatment (early course). Comparison to a published norm show significant lower QoL for severe psychotic disorders. The variable having a traumatic event before the age of 18 was significantly negatively associated with QoL. A decrease in the severity of depressive as well as in positive symptomatology in the first six weeks after admission was associated with increase of QoL. CONCLUSION: Results indicate that the overall symptom burden at time of inclusion is not decisive for the perceived QoL in the long-term course while the reduction in the severity of depressive and positive symptoms is important. This means focusing even more on the treatment of depressive symptoms and include traumatherapeutic aspects in the long-term treatment of severe psychotic disorders if needed. TRAIL REGISTRATION: ClinicalTrials.gov (identifier: NCT01888627).

Study protocol of a randomized controlled trial evaluating home treatment with peer support for acute mental health crises (HoPe).

BACKGROUND: Home treatment (HT) is a treatment modality for patients with severe mental illness (SMI) in acute mental crises. It is frequently considered equivalent to psychiatric inpatient treatment in terms of treatment outcome. Peer Support (PS) means that people with lived experience of a mental illness are trained to support others on their way towards recovery. While PS is growing in international importance and despite a growing number of studies supporting its benefits, it is still not comprehensively implemented into routine care. The HoPe (Home Treatment with Peer Support) study investigates a combination of both - HT and PS - to provide further evidence for a recovery-oriented treatment of psychiatric patients. METHODS: In our randomized controlled trial (RCT), HT with PS is compared with HT without PS within a network of eight psychiatric clinical centers from the North, South and East of Germany. We investigate the effects of a combination of both approaches with respect to the prevention of relapse/recurrence defined as first hospitalization after randomization (primary outcome), disease severity, general functioning, self-efficacy, psychosocial health, stigma resistance, recovery support, and service satisfaction (secondary outcomes). A sample of 286 patients will be assessed at baseline after admission to HT care (data point t0) and randomized into the intervention (HT + PS) and control arm (HT). Follow-Up assessments will be conducted 2, 6 and 12 months after admission (resulting in three further data points, t1 to t3) and will be analyzed via intention-to-treat approach. DISCUSSION: This study may determine the positive effects of PS added to HT, prove additional evidence for the efficacy of PS and thereby facilitate its further implementation into psychiatric settings. The aim is to improve quality of mental health care and patients' recovery as well as to reduce the risk of relapses and hospitalizations for patients with SMI. TRIAL REGISTRATION: The trial is registered with ClinicalTrials.gov: NCT04336527 , April 7, 2020.

Bridging the phenomenological gap between predictive basic-symptoms and attenuated positive symptoms: a cross-sectional network analysis.

Attenuated positive symptoms (APS), transient psychotic-like symptoms (brief, limited intermittent psychotic symptoms, BLIPS), and predictive cognitive-perceptive basic-symptoms (BS) criteria can help identify a help-seeking population of young people at clinical high-risk of a first episode psychosis (CHRp). Phenomenological, there are substantial differences between BS and APS or BLIPS. BS do not feature psychotic content as delusion or hallucinations, and reality testing is preserved. One fundamental problem in the psychopathology of CHRp is to understand how the non-psychotic BS are related to APS. To explore the interrelationship of APS and predictive BS, we fitted a network analysis to a dataset of 231 patients at CHRp, aged 24.4 years (SD = 5.3) with 65% male. Particular emphasis was placed on points of interaction (bridge symptoms) between the two criteria sets. The BS 'unstable ideas of reference' and "inability to discriminate between imagination and reality" interacted with attenuated delusional ideation. Perceptual BS were linked to perceptual APS. Albeit central for the network, predictive cognitive basic BS were relatively isolated from APS. Our analysis provides empirical support for existing theoretical accounts that interaction between the distinct phenomenological domains of BS and APS is characterized by impairments in source monitoring and perspective-taking. Identifying bridge symptoms between the symptom domains holds the potential to empirically advance the etiological understanding of psychosis and pave the way for tailored clinical interventions.

Physics-informed neural networks for hydraulic transient analysis in pipeline systems.

In water pipeline systems, monitoring and predicting hydraulic transient events are important to ensure the proper operation of pressure control devices (e.g., pressure reducing valves) and prevent potential damages to the network infrastructure. Simulating transient pressures using traditional numerical methods, however, require a complete model with known boundary and initial conditions, which is rarely able to obtain in a real system. This paper proposes a new physics-based and data-driven method for targeted transient pressure reconstruction without the need of having a complete pipe system model. The new method formulates a physics-informed neural network (PINN) by incorporating both measured data and physical laws of the transient flow in the training process. This enables the PINN to learn and explore hidden information of the hydraulic transient (e.g., boundary conditions and wave damping characteristics) that is embedded in the measured data. The trained PINN can then be used to predict transient pressures at any location of the pipeline. Results from two numerical and one experimental case studies showed a high accuracy of the pressure reconstruction using the proposed approach. In addition, a series of sensitivity analyses have been conducted to determine the optimal hyperparameters in the PINN and to understand the effects of the sensor configuration on the model performance.