Adapting the stroke therapy outcome measure for use by Multidisciplinary Teams: considering reliability.

PURPOSE: The Therapy Outcome Measure (TOM) comprises many profession and client group-specific adapted scales based on the International Classification of Functioning Model, used by different Health Care Professionals (HCPs). A new Multidisciplinary stroke TOM scale (MDT Stroke TOMs) was developed by amalgamating the relevant scales. This study aimed to develop a scale to describe patients' abilities and improve communication and collaboration within the stroke Multidisciplinary Team (MDT). The present study investigated the inter-rater and intra-rater reliability of this adaptation. MATERIALS AND METHODS: The MDT Stroke TOM Scale was developed by combining and rewording four profession-specific adapted TOM scales following iterative trials and discussions leading to an agreed version. 150 stroke Allied Health Professional (AHPs) and nurses were trained virtually in TOM and the MDT Stroke TOM Scale. Ten AHP and nursing raters from five professions evaluated ten composite stroke case studies for inter-rater reliability. Six participated in the intra-rater reliability review of the same three case studies at different time points. Reliability was quantified using intraclass correlation coefficients and measurement error using the smallest detectable change. RESULTS: There was good to excellent concordance between the raters in terms of scoring. Raters' scores were also consistent. The MDT Stroke TOMs is being used consistently across the South West London Stroke Network. CONCLUSION: The Stroke MDT TOMs is psychometrically robust and should assist with improving team work in the rehabilitation of stroke patients and their carers. Future research may use MDT Stroke TOM to promote interprofessional team working and facilitate communication in Stroke Rehabilitation.

The introduction of a new Multidisciplinary Team (MDT) Stroke Therapy Outcome measure to encourage interdisciplinary working and collaboration.One measure to complete and document for busy MDTs, which has good - excellent reliability.Early and timely MDT discussions regarding patient care and needs.Using this reliable outcome measure facilitates audit and benchmarking of services.

Direct and indirect effects of psychological well-being and therapeutic alliance on therapy outcome in eating disorders.

Introduction: Outcome research in eating disorders (EDs) is commonly focused on psychopathological dysfunction. However, Ryff's model of psychological well-being (PWB) has shown promising-yet preliminary-results with ED patients. Additionally, despite substantial evidence highlighting the association between the therapeutic alliance and treatment outcome, findings in ED samples remain unclear. The present study aimed at exploring the direct effect of PWB dimensions and the early therapeutic alliance on ED patients' individual treatment responses, as well as the mediating role played by the early therapeutic alliance in the relationship between PWB dimensions and overall pre-post symptom change. Methods: A sample of N = 165 ED patients assigned female at birth, who were receiving treatment in a residential program, completed the Psychological Well-Being Scale at treatment intake and the Working Alliance Inventory after the first four psychotherapy sessions. Patients also completed the Outcome Questionnaire-45.2 at the same time point and during the week prior to discharge. Results: The PWB dimensions of autonomy, positive relations, and self-acceptance were associated with clinically significant change, while the dimensions of personal growth and self-acceptance were associated with reliable change. The early therapeutic alliance showed both direct and indirect effects on therapy outcome, predicting clinically significant and reliable symptom reduction. It also emerged as a significant mediator in the relationship between all PWB dimensions and overall symptomatic change. Conclusion: The identification of individual, adaptive characteristics in ED patients that might influence their development of an early therapeutic alliance may help therapists to predict relationship ruptures and tailor their interventions to enhance treatment effectiveness.

The effectiveness of a standardized tobacco cessation program on psychophysiological parameters in patients with addiction undergoing long-term rehabilitation: a quasi-experimental pilot study.

BACKGROUND: Although there is a very high comorbidity between tobacco dependence and other addictive disorders, there are only few studies examining the implementation and outcomes of a tobacco cessation program in patients with addictive diseases. Therefore, the aim of this study is to investigate to what extent a standardized tobacco cessation program leads to improvements regarding psychological/physical parameters in patients with addiction undergoing therapy and whether there is a reduction in tobacco consumption. METHODS: The study took place in a therapeutic community specialized in addiction therapy. A total sample of 56 participants were non-randomly assigned to an intervention group (IG; n = 31) and a treatment as usual group (TAUG; n = 25). The IG participated in a 6-week tobacco cessation program, while the TAUG received no additional treatment. Both groups were assessed for changes in primary outcomes (tobacco dependence, smoked cigarettes per day (CPD), and general substance-related craving) and secondary outcomes (heart rate variability (HRV): root mean square of successive differences, self-efficacy, and comorbid psychiatric symptoms) at two measurement time points (pre- and post-treatment/6 weeks). RESULTS: We observed significant improvements in self-efficacy (F(1,53) = 5.86; p < .05; ηp2 = .11) and decreased CPD in the IG (ß = 1.16, ρ < .05), while no significant changes were observed in the TAUG. No significant interaction effects were observed in psychiatric symptoms, general substance-related craving, and HRV. CONCLUSIONS: The results highlight the potential benefit of an additional tobacco cessation program as part of a general addiction treatment. Although no improvements in the physiological domain were observed, there were significant improvements regarding self-efficacy and CPD in the IG compared to the TAUG. Randomized controlled trials on larger samples would be an important next step. TRIAL REGISTRATION: ISRCTN15684371.

Treating taboo thoughts on a psychiatric intensive care unit: a four-phase mixed methods single case experimental design.

BACKGROUND: Well-designed evaluations of psychological interventions on psychiatric intensive care units (PICUs) are a rarity. AIMS: To evaluate the effectiveness of cognitive behaviour therapy for intrusive taboo thoughts with a patient diagnosed with bipolar affective disorder admitted to a PICU due to significant ongoing risk of harm to self. METHOD: This was a four-phase ABC plus community follow-up (D) mixed methods n=1 single case experimental design. Four idiographic measures were collected daily across four phases; the baseline (A) was during PICU admission, the first treatment phase (B) was behavioural on the PICU, the second treatment phase (C) was cognitive on an acute ward and the follow-up phase (D) was conducted in the community. Four nomothetic measures were taken on admission, on discharge from the PICU, discharge from the acute ward and then at 4-week follow-up. The participant was also interviewed at follow-up using the Change Interview. RESULTS: Compared with baseline, the behavioural and the cognitive interventions appeared effective in terms of improving calmness, optimism and rumination, but the effects on sociability were poor. There was evidence across idiographic and nomothetic outcomes of a relapse during the follow-up phase in the community. Eleven idiographic changes were reported in the interview and these tended to be unexpected, related to the therapy and personally important. DISCUSSION: Single case methods can be responsive to tracking the progress of patients moving through in-patient pathways and differing modules of evidence-based interventions. There is a real need to implement robust outcome methodologies on PICUs to better evaluate the psychological aspects of care in this context.

Regional Spondylodiscitis Disparities: Impact on Pathogen Spectrum and Patients.

Background: Spondylodiscitis is an infectious disease affecting an intervertebral disc and the adjacent vertebral bodies and is often the complication of a distant focus of infection. This study aims to ascertain the regional and hospital-specific disparities in bacterial patterns and resistance profiles in spontaneous and iatrogenic spondylodiscitis and their implications for patient treatment. Methods: We enrolled patients from two German hospitals, specifically comparing a university hospital (UVH) with a peripheral non-university hospital (NUH). We documented patient demographics, laboratory results, and surgical interventions. Microbiological assessments, antibiotic regimens, treatment durations, and resistance profiles were recorded. Results: This study included 135 patients. Upon admission, 92.4% reported pain, with 16.2% also presenting neurological deficits. The primary microbial species identified in both the UVH and NUH cohorts were S. aureus (37.3% vs. 31.3%) and cog. neg. staphylococci (28.8% vs. 34.4%), respectively. Notably, a higher prevalence of resistant bacteria was noted in the UVH group (p < 0.001). Additionally, concomitant malignancies were significantly more prevalent in the UVH cohort. Conclusion: Significant regional variations exist in bacterial prevalence and resistance profiles. Consequently, treatment protocols need to consider these nuances and undergo regular critical evaluation. Moreover, patients with concurrent malignancies face an elevated risk of spondylodiscitis.

Paradoxical effect of anti-inflammatory drugs on IL-6 mRNA expression in patients with PTSD during treatment.

The pathophysiology of posttraumatic stress disorder (PTSD) is associated with the activation of the innate immune system, including cytokines like interleukin 6 (IL-6). However, the role of IL-6 in the etiology and treatment of PTSD still remains elusive. We conducted a prospective controlled trial to investigate the development of IL-6 during psychosomatic treatment in individuals with PTSD in comparison with individuals without PTSD. We assessed IL-6 mRNA expression before and after 2 months of psychosomatic treatment in individuals with and without PTSD. Severities of PTSD and depressive symptoms were assessed in parallel. Linear mixed regression was applied for statistical analysis, including the factors diagnosis PTSD and pre-post treatment after subgrouping for intake of anti-inflammatory drugs. The development of IL-6 mRNA expression during treatment was affected by the use of anti-inflammatory drugs. In the subgroup without intake of anti-inflammatory drugs, no significant statistical treatment effect in individuals with and without PTSD emerged. In the subgroup of individuals taking anti-inflammatory drugs, a significant interaction effect of the factors pre-post treatment and diagnosis PTSD was observed. Whereas IL-6 mRNA expression in individuals without PTSD decreased according to amelioration of symptoms, IL-6 mRNA expression in individuals with PTSD increased significantly during treatment, in opposite direction to symptom severity. Anti-inflammatory drugs might affect IL-6 mRNA expression in individuals with PTSD in a paradoxical way. This study offers a further piece of evidence that IL-6 could be involved in the pathophysiology of PTSD and PTSD-specific immunologic molecular mechanisms.

Few negative effects of psychotherapy in a psychiatric day hospital: a follow-up survey to a multiprofessional treatment with acceptance and commitment therapy.

While there are many studies on psychotherapy and its efficacy - in terms of desired outcomes - there is comparatively little evidence on the possible negative effects of psychotherapy. The aim of this study was to investigate the possible negative effects of a multi-professional psychiatric day hospital treatment for patients with mental health disorders based on Acceptance and Commitment Therapy (ACT), including possible confounding factors. Fifty-one patients with a range of psychiatric diagnoses were assessed three months after an ACT-based psychiatric day hospital treatment. Questionnaires were used to measure negative effects of psychotherapy (INEP), subjective quality of life (WHOQOL-BREF), and symptomatology (BDI-II and SCL-90-R). Correlational analyses and group comparisons were performed to determine the relationship between the sum of reported negative effects on the one hand and symptomology, quality of life, and sociodemographic variables (gender, age, diagnosis, education) on the other hand. At least one negative effect out of a list of 18 possible effects was reported by 45% of participants, and 10% reported more than two. The number of negative effects reported correlates positively with symptomology and negatively with quality of life. The sum of reported negative effects does not correlate with age or gender and does not vary by education level and primary diagnosis. In the light of previous findings, patients included in this study showed lower rates of negative effects, both overall and at item level. Practical implications of these findings are discussed.

Dysbiosis and Associated Stool Features Improve Prediction of Response to Biological Therapy in Inflammatory Bowel Disease.

BACKGROUND & AIMS: Dysbiosis of the gut microbiota is considered a key contributor to inflammatory bowel disease (IBD) etiology. Here, we investigated potential associations between microbiota composition and the outcomes to biological therapies. METHODS: The study prospectively recruited 296 patients with active IBD (203 with Crohn's disease, 93 with ulcerative colitis) initiating biological therapy. Quantitative microbiome profiles of pretreatment and posttreatment fecal samples were obtained combining flow cytometry with 16S amplicon sequencing. Therapeutic response was assessed by endoscopy, patient-reported outcomes, and changes in fecal calprotectin. The effect of therapy on microbiome variation was evaluated using constrained ordination methods. Prediction of therapy outcome was performed using logistic regression with 5-fold cross-validation. RESULTS: At baseline, 65.9% of patients carried the dysbiotic Bacteroides2 (Bact2) enterotype, with a significantly higher prevalence among patients with ileal involvement (76.8%). Microbiome variation was associated with the choice of biological therapy rather than with therapeutic outcome. Only anti-tumor necrosis factor-α treatment resulted in a microbiome shift away from Bact2, concomitant with an increase in microbial load and butyrogen abundances and a decrease in potentially opportunistic Veillonella. Remission rates for patients hosting Bact2 at baseline were significantly higher with anti-tumor necrosis factor-α than with vedolizumab (65.1% vs 35.2%). A prediction model, based on anthropometrics and clinical data, stool features (microbial load, moisture, and calprotectin), and Bact2 detection predicted treatment outcome with 73.9% accuracy for specific biological therapies. CONCLUSION: Fecal characterization based on microbial load, moisture content, calprotectin concentration, and enterotyping may aid in the therapeutic choice of biological therapy in IBD.

Correlation of tumor PD-L1 expression in different tissue types and outcome of PD-1-based immunotherapy in metastatic melanoma - analysis of the DeCOG prospective multicenter cohort study ADOREG/TRIM.

BACKGROUND: PD-1-based immune checkpoint inhibition (ICI) is the major backbone of current melanoma therapy. Tumor PD-L1 expression represents one of few biomarkers predicting ICI therapy outcome. The objective of the present study was to systematically investigate whether the type of tumor tissue examined for PD-L1 expression has an impact on the correlation with ICI therapy outcome. METHODS: Pre-treatment tumor tissue was collected within the prospective DeCOG cohort study ADOREG/TRIM (CA209-578; NCT05750511) between February 2014 and May 2020 from 448 consecutive patients who received PD-1-based ICI for non-resectable metastatic melanoma. The primary study endpoint was best overall response (BOR), secondary endpoints were progression-free (PFS) and overall survival (OS). All endpoints were correlated with tumor PD-L1 expression (quantified with clone 28-8; cutoff ≥5%) and stratified by tissue type. FINDINGS: Tumor PD-L1 was determined in 95 primary tumors (PT; 36.8% positivity), 153 skin/subcutaneous (34.0% positivity), 115 lymph node (LN; 50.4% positivity), and 85 organ (40.8% positivity) metastases. Tumor PD-L1 correlated with BOR if determined in LN (OR = 0.319; 95% CI = 0.138-0.762; P = 0.010), but not in skin/subcutaneous metastases (OR = 0.656; 95% CI = 0.311-1.341; P = 0.26). PD-L1 positivity determined on LN metastases was associated with favorable survival (PFS, HR = 0.490; 95% CI = 0.310-0.775; P = 0.002; OS, HR = 0.519; 95% CI = 0.307-0.880; P = 0.014). PD-L1 positivity determined in PT (PFS, HR = 0.757; 95% CI = 0.467-1.226; P = 0.27; OS; HR = 0.528; 95% CI = 0.305-0.913; P = 0.032) was correlated with survival to a lesser extent. No relevant survival differences were detected by PD-L1 determined in skin/subcutaneous metastases (PFS, HR = 0.825; 95% CI = 0.555-1.226; P = 0.35; OS, HR = 1.083; 95% CI = 0.698-1.681; P = 0.72). INTERPRETATION: For PD-1-based immunotherapy in melanoma, tumor PD-L1 determined in LN metastases was stronger correlated with therapy outcome than that assessed in PT or organ metastases. PD-L1 determined in skin/subcutaneous metastases showed no outcome correlation and therefore should be used with caution for clinical decision making. FUNDING: Bristol-Myers Squibb (ADOREG/TRIM, NCT05750511); German Research Foundation (DFG; Clinician Scientist Program UMEA); Else Kröner-Fresenius-Stiftung (EKFS; Medical Scientist Academy UMESciA).

Risk and diagnostic factors and therapy outcome of neonatal early onset sepsis in ICU patients of Saudi Arabia: a systematic review and meta analysis.

Background: Neonatal early onset sepsis (NEOS) is a serious and potentially life-threatening condition affecting newborns within the first few days of life. While the diagnosis of NEOS was based on clinical signs and symptoms in the past, recent years have seen growing interest in identifying specific diagnostic factors and optimizing therapy outcomes. This study aims to investigate the diagnostic and risk factors and therapy outcomes of neonatal EOS in ICU patients in Saudi Arabia, with the goal of improving the management of neonatal EOS in the country. Methods: This method outlines the protocol development, search strategy, study selection, and data collection process for a systematic review on neonatal early onset sepsis in Saudi Arabian ICU patients, following the PRISMA 2020 guidelines. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) is a well-established guideline that provides a framework for conducting systematic reviews and meta-analyses in a transparent and standardized manner. It aims to improve the quality and reporting of such research by ensuring clear and comprehensive reporting of study methods, results, and interpretations. The search strategy included electronic databases (PubMed, Embase, Google Scholar, Science Direct, and the Cochrane Library) and manual search of relevant studies, and data were extracted using a standardized form. Results: The systematic review included 21 studies on neonatal sepsis in Saudi Arabia, with varying study designs, sample sizes, and prevalence rates of sepsis. Group B streptococcus and E. coli were the most commonly isolated pathogens. Various diagnostic factors and risk factors were reported, including hematological parameters, biomarkers, and blood cultures. The quality of the included studies was assessed using the Newcastle-Ottawa Scale and Joanna Briggs Institute critical checklist. Conclusions: The review identified a number of risk and diagnostic factors and therapy outcomes for neonatal sepsis. However, most of the studies were having small scale cohort groups. Further research with controlled study designs is needed to develop effective prevention and management strategies for neonatal sepsis in Saudi Arabia.

Gene Ontology Analysis Highlights Biological Processes Influencing Responsiveness to Biological Therapy in Psoriasis.

Psoriasis is a chronic, immune-mediated and inflammatory skin disease. Although various biological drugs are available for psoriasis treatment, some patients have poor responses or do not respond to treatment. The aim of the present study was to highlight the molecular mechanism of responsiveness to current biological drugs for psoriasis treatment. To this end, we reviewed previously published articles that reported genes associated with treatment response to biological drugs in psoriasis, and gene ontology analysis was subsequently performed using the Cytoscape platform. Herein, we revealed a statistically significant association between NF-kappaB signaling (p value = 3.37 × 10-9), regulation of granulocyte macrophage colony-stimulating factor production (p value = 6.20 × 10-6), glial cell proliferation (p value = 2.41 × 10-5) and treatment response in psoriatic patients. To the best of our knowledge, we are the first to directly associate glial cells with treatment response. Taken together, our study revealed gene ontology (GO) terms, some of which were previously shown to be implicated in the molecular pathway of psoriasis, as novel GO terms involved in responsiveness in psoriatic disease patients.

Functional brain connectivity indexes derived from low-density EEG of pre-implanted patients as VNS outcome predictors.

Objective. In 1/3 of patients, anti-seizure medications may be insufficient, and resective surgery may be offered whenever the seizure onset is localized and situated in a non-eloquent brain region. When surgery is not feasible or fails, vagus nerve stimulation (VNS) therapy can be used as an add-on treatment to reduce seizure frequency and/or severity. However, screening tools or methods for predicting patient response to VNS and avoiding unnecessary implantation are unavailable, and confident biomarkers of clinical efficacy are unclear.Approach. To predict the response of patients to VNS, functional brain connectivity measures in combination with graph measures have been primarily used with respect to imaging techniques such as functional magnetic resonance imaging, but connectivity graph-based analysis based on electrophysiological signals such as electroencephalogram, have been barely explored. Although the study of the influence of VNS on functional connectivity is not new, this work is distinguished by using preimplantation low-density EEG data to analyze discriminative measures between responders and non-responder patients using functional connectivity and graph theory metrics.Main results. By calculating five functional brain connectivity indexes per frequency band upon partial directed coherence and direct transform function connectivity matrices in a population of 37 refractory epilepsy patients, we found significant differences (p< 0.05) between the global efficiency, average clustering coefficient, and modularity of responders and non-responders using the Mann-Whitney U test with Benjamini-Hochberg correction procedure and use of a false discovery rate of 5%.Significance. Our results indicate that these measures may potentially be used as biomarkers to predict responsiveness to VNS therapy.

Distal Fecal Wash Host Transcriptomics Identifies Inflammation Throughout the Colon and Terminal Ileum.

BACKGROUND & AIMS: Noninvasive modalities for assessing active endoscopic and histologic inflammation in Crohn's disease and ulcerative colitis patients are critically needed. Fecal wash host shed-cell transcriptomics has been shown to be a robust classifier of endoscopic and histologic inflammation in inflammatory bowel disease patients with distal colitis. Whether such fecal washes can inform on inflammatory processes occurring in more proximal intestinal segments is currently unknown. METHODS: Fifty-nine inflammatory bowel disease patients and 50 controls were prospectively enrolled. Biopsy specimens and fecal washes from the distal colon, proximal colon, and terminal ileum were compared. Host transcriptomics were performed on the biopsy specimens and fecal washes obtained during colonoscopy at predefined locations throughout the colon and terminal ileum and results were associated with concurrent clinical, endoscopic, and histologic parameters. RESULTS: We found that host transcriptomics of distal fecal washes robustly classify histologic inflammation in ileal and proximal colonic Crohn's disease, even without distal colonic involvement (area under the receiver operating characteristic curve, 0.94 ± 0.09). We further found that fecal washes consist of modules of co-expressed genes of immune, stromal, and epithelial origin that are indicative of endoscopic disease severity. Fecal wash host transcriptomics also captures expression of gene modules previously associated with a lack of response to biological therapies. CONCLUSIONS: Our study establishes the accuracy of distal colonic fecal washes for identifying and scoring inflammatory processes throughout the entire ileal-colonic axis.

Banter in psychotherapy: Relationship to treatment type, therapeutic alliance, and therapy outcome.

INTRODUCTION: The use of humor in psychotherapy is widely considered to improve therapy outcomes and typically depends on context, patient sensitivity, and the therapist's humor style. Different types of humor may impact treatment type, therapeutic alliance, and therapy outcome; however, evidence from psychotherapy sessions on the role of banter has been sparse to date. Therefore, the study aims to examine banter in a secondary analysis of psychotherapy sessions. METHOD: The sample consisted of 68 depressed outpatients treated with one of three treatment types: psychoanalytic therapy (PA), psychodynamic therapy (PD), and cognitive-behavioral therapy (CBT). Banter and therapeutic alliance were rated for therapy sessions taken from the middle phase of treatment, outcome was assessed at the end of treatment. RESULTS: The main findings were (1) clinical examples of banter in psychotherapy were found in 62 from 68 sessions, (2) significantly more bantering in the main bantering category of facilitation for CBT sessions as compared to other treatment types, (3) facilitative banter as a significant predictor for the positive introject, (4) a significant correlation between bantering and bond between therapist and client. Furthermore, based on these results, psychometric properties of the Klagenfurt Bantering Instrument (KBI) are reported. CONCLUSION: From a bantering perspective, this study emphasizes the need to consider session context, client response, and sarcastic markers when categorizing negative banter using the KBI.

A Self-Attention-Guided 3D Deep Residual Network With Big Transfer to Predict Local Failure in Brain Metastasis After Radiotherapy Using Multi-Channel MRI.

A noticeable proportion of larger brain metastases (BMs) are not locally controlled after stereotactic radiotherapy, and it may take months before local progression is apparent on standard follow-up imaging. This work proposes and investigates new explainable deep-learning models to predict the radiotherapy outcome for BM. A novel self-attention-guided 3D residual network is introduced for predicting the outcome of local failure (LF) after radiotherapy using the baseline treatment-planning MRI. The 3D self-attention modules facilitate capturing long-range intra/inter slice dependencies which are often overlooked by convolution layers. The proposed model was compared to a vanilla 3D residual network and 3D residual network with CBAM attention in terms of performance in outcome prediction. A training recipe was adapted for the outcome prediction models during pretraining and training the down-stream task based on the recently proposed big transfer principles. A novel 3D visualization module was coupled with the model to demonstrate the impact of various intra/peri-lesion regions on volumetric multi-channel MRI upon the network's prediction. The proposed self-attention-guided 3D residual network outperforms the vanilla residual network and the residual network with CBAM attention in accuracy, F1-score, and AUC. The visualization results show the importance of peri-lesional characteristics on treatment-planning MRI in predicting local outcome after radiotherapy. This study demonstrates the potential of self-attention-guided deep-learning features derived from volumetric MRI in radiotherapy outcome prediction for BM. The insights obtained via the developed visualization module for individual lesions can possibly be applied during radiotherapy planning to decrease the chance of LF.

Epistemic Trust Is a Critical Success Factor in Psychosomatic Rehabilitation-Results from a Naturalistic Multi-Center Observational Study.

Knowledge about critical success factors underpinning beneficial treatment outcomes in psychosomatic inpatient rehabilitation is scarce. The aim of this study was to evaluate the influence of patients' epistemic stance in relation to the improvement of psychological distress during rehabilitation. In this naturalistic longitudinal observational study, n = 771 patients completed routine assessments for psychological distress (BSI-18), health-related quality of life (HRQOL; WHODAS), and epistemic trust (ETMCQ) before (T1) and after (T2) psychosomatic rehabilitation. Patients were grouped as best, average, and worst responders based on their mean BSI-18 changes during treatment, and their mean change in epistemic trust, mistrust, and credulity was compared using repeated measures analyses of variance (rANOVAs). No associations of performance with sex (p = 0.09), age (p = 0.11), or relationship status (p = 0.58) were found. Best responders reported significantly improved epistemic trust (p = 0.001) and reduced epistemic mistrust (p < 0.001), whereas worst responders reported a significant increase in epistemic mistrust (p < 0.001) and credulity (p < 0.001). Average responders did not change for either epistemic trust (p = 0.11), mistrust (p > 0.99), or credulity (p = 0.96). Our results underscore the role of the epistemic stance in psychosomatic and psychotherapeutic treatments. These results help to better understand what might determine psychosomatic rehabilitation outcomes and indicate the role of epistemic trust as a critical success factor.

[Treatment expectations of multimodal pain therapy inpatients]. / Behandlungserwartungen bei Patienten einer stationären multimodalen Schmerztherapie.

BACKGROUND: Apart from rehabilitation research, there have been no studies regarding the expectations of patients with chronic back pain in terms of inpatient multimodal pain therapy. The aim of this naturalistic longitudinal study is to explore treatment expectations, their fulfilment, and influence on the treatment success of inpatient multimodal pain therapy. METHODS: This study included 118 patients with chronic back pain who were physically examined and assessed for their psychological comorbidity. They were interviewed pre and post pain therapy. Treatment expectations were recorded via the questionnaire for assessing rehabilitational expectations and motivations (FREM-17), and further variables via the Pain Disability Index (PDI, german version) and the german Hospital Anxiety and Depression Scale (HADS-D). RESULTS: The results show that treatment expectations have an impact on therapy success or failure. In particular, patients' expectations of coping with illness and recovery could be met by inpatient multimodal pain therapy, whereas health and pension-related expectations remained unfulfilled. In addition to the treatment expectations, the therapy result was primarily determined by the patient's ability to perform before the therapy. CONCLUSIONS: From the clinical side, treatment expectations should be explored and checked for feasibility to avoid patient disappointment.

Impact of Tumour Segmentation Accuracy on Efficacy of Quantitative MRI Biomarkers of Radiotherapy Outcome in Brain Metastasis.

Significantly affecting patients' clinical course and quality of life, a growing number of cancer cases are diagnosed with brain metastasis (BM) annually. Stereotactic radiotherapy is now a major treatment option for patients with BM. However, it may take months before the local response of BM to stereotactic radiation treatment is apparent on standard follow-up imaging. While machine learning in conjunction with radiomics has shown great promise in predicting the local response of BM before or early after radiotherapy, further development and widespread application of such techniques has been hindered by their dependency on manual tumour delineation. In this study, we explored the impact of using less-accurate automatically generated segmentation masks on the efficacy of radiomic features for radiotherapy outcome prediction in BM. The findings of this study demonstrate that while the effect of tumour delineation accuracy is substantial for segmentation models with lower dice scores (dice score ≤ 0.85), radiomic features and prediction models are rather resilient to imperfections in the produced tumour masks. Specifically, the selected radiomic features (six shared features out of seven) and performance of the prediction model (accuracy of 80% versus 80%, AUC of 0.81 versus 0.78) were fairly similar for the ground-truth and automatically generated segmentation masks, with dice scores close to 0.90. The positive outcome of this work paves the way for adopting high-throughput automatically generated tumour masks for discovering diagnostic and prognostic imaging biomarkers in BM without sacrificing accuracy.