Substance Use Within Trials of Psychological Interventions for Psychosis: Sample Inclusion, Secondary Measures, and Intervention Effectiveness.

INTRODUCTION: Current clinical guidelines recommend that patients with co-occurring psychosis and alcohol or substance use disorders (A/SUD) receive evidenced-based treatment for both disorders, including psychological intervention for psychosis. However, the efficacy of such treatments for individuals with co-occurring psychosis and A/SUD is unclear. STUDY DESIGN: Randomized controlled trials (RCTs) of psychological interventions for psychosis were systematically reviewed, to investigate how alcohol and substance use has been accounted for across sample inclusion and secondary measures. Findings from trials including individuals with co-occurring alcohol or substance use issues were then narratively summarized using the Synthesis Without Meta-Analysis guidelines, to indicate the overall efficacy of psychological interventions for psychosis, for this comorbid population. STUDY RESULTS: Across the 131 trials identified, 60.3% of trials excluded individuals with alcohol or substance use issues. Additionally, only 6.1% measured alcohol or substance use at baseline, while only 2.3% measured alcohol or substance use as a secondary outcome. Across trials explicitly including individuals with alcohol or substance use issues, insufficient evidence was available to conclude the efficacy of any individual psychological intervention. However, preliminary findings suggest that psychoeducation (PE) and metacognitive therapy (MCT) may be proposed for further investigation. CONCLUSION: Overall, co-occurring alcohol and substance use issues have been largely neglected across the recent RCTs of psychological interventions for psychosis; highlighting the challenges of making treatment decisions for these individuals using the current evidence base.

Ten Years of Improving Glycemic Control in Pediatric Diabetes Care: Data From the Norwegian Childhood Diabetes Registry.

OBJECTIVE: To evaluate, from 2013 to 2022, how HbA1c, the incidence of acute complications, and use of diabetes technology changed at the national level in Norway and how glycemic control was associated with use of diabetes technology, carbohydrate counting, or participation in a quality improvement project. RESEARCH DESIGN AND METHODS: This longitudinal observational study was based on 27,214 annual registrations of 6,775 children from the Norwegian Childhood Diabetes Registry from 2013 to 2022. Individuals aged >18 years, those with diabetes other than type 1, and those without HbA1c measurements were excluded. The outcome measure was HbA1c. The predictor variables in the adjusted linear mixed-effects model were 1) the use of diabetes technology, 2) the use of carbohydrate counting for meal bolusing, and 3) whether the patient's diabetes team participated in a quality improvement project. RESULTS: Mean HbA1c decreased from 8.2% (2013) to 7.2% (2021), and the proportion of youth reaching an HbA1c <7.0% increased from 13% (2013) to 43% (2022). Insulin pump use increased from 65% (2013) to 91% (2022). Continuous glucose monitoring (CGM) use increased from 34% (first recorded in 2016) to 97% (2022). Insulin pump, CGM, and carbohydrate counting were associated with lower HbA1c and higher achievement of glycemic targets. Girls had a higher mean HbA1c than boys. Mean HbA1c levels were lower in clinics that participated in a quality improvement project for the following 4 years after the project. CONCLUSIONS: Diabetes technology, carbohydrate counting, and systematic quality improvement in pediatric departments led to improved glycemic control.

The Relationship Between Self-Reported Childhood Maltreatment and Mental Health in Substance Use Disorders: A 6-Year Retrospective Analysis.

OBJECTIVE: This longitudinal cohort study aims to investigate the relationship between self-reported childhood maltreatment (CM) and the retrospective trajectory of substance use, mental health, and satisfaction with life in individuals with substance use disorders. METHODS: One hundred eleven treatment-seeking individuals with substance use disorder were recruited from clinical settings and monitored prospectively for 6 years. The participants' substance use, mental health, and satisfaction with life were assessed using standardized measures. Cluster analysis divided the cohort into two groups-low CM and high CM-based on their scores on the Childhood Trauma Questionnaire Short Form at year 6. Mixed-effects linear models were fitted to assess the association between longitudinal scores on drug use, mental health, and satisfaction with life and CM group. RESULTS: Most participants (92%) reported at least 1 CM. Out of all participants, 36% were categorized into the high-CM group, while 59% were categorized into the low-CM group. CM group was not associated with the amount of substance or alcohol use. CM group was significantly associated with the longitudinal course of mental health and life satisfaction. CONCLUSIONS: This study underscores the association between self-reported CM and mental health and life satisfaction in patients with substance use disorder. Our results may imply an increased risk of adverse outcomes in patients with high levels of CM, while bearing in mind that both current and retrospective mental health and substance use problems can influence the accuracy of recalling CM.

Personality traits as predictors of recovery among patients with substance use disorder.

INTRODUCTION: Substance use disorder (SUD) is often considered a chronic illness in which prolonged recovery, in terms of abstinence, is uncommon. Personality has been found to predict recovery, but not much is known about its long-term predictive ability as the majority of previous studies have had short follow-up periods (≥ one year). The current longitudinal cohort study therefore investigated whether personality traits predict short- (STR) as well as long-term recovery (LTR) in SUD patients. METHODS: Treatment-seeking patients with SUD (n = 123) completed the NEO Personality Inventory - Revised. STR and LTR categories were defined as scoring <8 on the Alcohol Use Disorders Identification Test - C and <2 on the Drug Use Disorder Identification Test - C at the one-year and 6-8-year follow-up, respectively. Whether personality traits predicted outcome was investigated by two-tailed independent samples t-tests, α < 0.05. Additional analysis was conducted with latent growth curve model. RESULTS: Neuroticism (inversely, p = .004, d = 0.55) and Extraversion (p = .04, d = 0.38) predicted STR (n = 114). Although not significant the effect size for Conscientiousness was above the cut-off for a practical significant effect (d = 0.31). No traits predicted LTR category. Still, the effect sizes for LTR regarding Neuroticism (d = 0.36), Extraversion (d = 0.21) and Conscientiousness (d = 0.27) indicated that these traits have relevance for LTR. The latent growth curve model indicated that these traits predicted the short-term use of drugs and long-term use of alcohol in this cohort dominated by patients suffering from severe poly-SUD. CONCLUSION: Personality traits predict recovery. The effect sizes indicate that more studies with larger samples on personality traits and LTR are required to understand their possible influences on the recovery process.

How Much Training Is Enough? Low-Dose, High-Frequency Simulation Training and Maintenance of Competence in Neonatal Resuscitation.

INTRODUCTION: Facemask ventilation is a crucial, but challenging, element of neonatal resuscitation.In a previously reported study, instructor-led training using a novel neonatal simulator resulted in high-level ventilation competence for health care providers (HCPs) involved in newborn resuscitation. The aim of this study was to identify the optimal frequency and dose of simulation training to maintain this competence level. METHODS: Prospective observational study of HCPs training through 9 months. All training was logged. Overall ventilation competence scores were calculated for each simulation case, incorporating 7 skill elements considered important for effective ventilation.Overall scores and skill elements were analyzed by generalized linear mixed effects models using frequency (number of months of 9 where training occurred and total number of training sessions in 9 months) and dose (total number of cases performed) as predictors. Training loads (frequency + dose) predictive of high scores were projected based on estimated marginal probabilities of successful outcomes. RESULTS: A total of 156 HCPs performed 4348 training cases. Performing 5 or more sessions in 9 months predicted high global competence scores (>28/30). Frequency was the best predictor for 4 skill elements; success in maintaining airway patency and ventilation fraction was predicted by performing training in, respectively, 2 and 3 months of 9, whereas for avoiding dangerously high inflating pressures and providing adequate mask seal, 5 and 6 sessions, respectively, over the 9 months, predicted success. Skills reflecting global performance (successful resuscitation and valid ventilations) and ventilation rate were more dose-dependent. CONCLUSIONS: Training frequency is important in maintaining neonatal ventilation competence. Training dose is important for some skill elements. This offers the potential for individualized training schedules.

Exercise training and high-sensitivity cardiac troponin-I in patients with heart failure with reduced ejection fraction.

AIMS: The aims of this sub-study of the SMARTEX trial were (1) to evaluate the effects of a 12-week exercise training programme on serum levels of high sensitivity cardiac troponin I (hs-cTnI) in patients with moderate chronic heart failure (CHF), in New York Heart Association class II-III with reduced ejection fraction (HFrEF) and (2) to explore the associations with left ventricular remodelling, functional capacity and filling pressures measured with N-terminal pro brain natriuretic peptide (NT-proBNP). METHODS AND RESULTS: In this sub-study, 196 patients were randomly assigned to high intensity interval training (HIIT, n = 70), moderate continuous training (MCT, n = 59) or recommendation of regular exercise (RRE), (n = 67) for 12 weeks. To reveal potential difference between structured intervention and control, HIIT and MCT groups were merged and named supervised exercise training (SET) group. The RRE group constituted the control group (CG). To avoid contributing factors to myocardial injury, we also evaluated changes in patients without additional co-morbidities (atrial fibrillation, hypertension, diabetes mellitus, and chronic obstructive pulmonary disease). The relationship between hs-cTnI and left ventricular end-diastolic diameter (LVEDD), VO2peak, and NT-proBNP was analysed by linear mixed models. At 12 weeks, Hs-cTnI levels were modestly but significantly reduced in the SET group from median 11.9 ng/L (interquartile ratio, IQR 7.1-21.8) to 11.5 ng/L (IQR 7.0-20.7), P = 0.030. There was no between-group difference (SET vs. CG, P = 0.116). There was a numerical but not significant reduction in hs-cTnI for the whole population (P = 0.067) after 12 weeks. For the sub-group of patients without additional co-morbidities, there was a significant between-group difference: SET group (delta -1.2 ng/L, IQR -2.7 to 0.1) versus CG (delta -0.1 ng/L, IQR -0.4 to 0.7), P = 0.007. In the SET group, hs-cTnI changed from 10.9 ng/L (IQR 6.0-22.7) to 9.2 ng/L (IQR 5.2-20.5) (P = 0.002), whereas there was no change in the CG (6.4 to 5.8 ng/L, P = 0.64). Changes in hs-cTnI (all patients) were significantly associated with changes in; LVEDD, VO2peak, and NT-proBNP, respectively. CONCLUSIONS: In patients with stable HFrEF, 12 weeks of structured exercise intervention was associated with a modest, but significant reduction of hs-cTnI. There was no significant difference between intervention group and control group. In the sub-group of patients without additional co-morbidities, this difference was highly significant. The alterations in hs-cTnI were associated with reduction of LVEDD and natriuretic peptide concentrations as well as improved functional capacity.

Testing for Within × Within and Between × Within Moderation using Random Intercept Cross-Lagged Panel Models.

Random-Intercept Cross-Lagged Panel Models allow for the decomposition of measurements into between- and within-person components and have hence become popular for testing developmental hypotheses. Here, we describe how developmental researchers can implement, test and interpret interaction effects in such models using an empirical example from developmental psychopathology research. We illustrate the analysis of Within × Within and Between × Within interactions utilising data from the United Kingdom-based Millennium Cohort Study within a Bayesian Structural Equation Modelling framework. We provide annotated Mplus code, allowing users to isolate, estimate and interpret the complexities of within-person and between person dynamics as they unfold over time.

Identification of diagnostic and prognostic biomarkers of PD using a multiplex proteomics approach.

Given the complexity of Parkinson's disease (PD), achieving acceptable diagnostic and prognostic accuracy will require the support of a panel of diverse biomarkers. We used Proximity extension assays to measure a panel of 92 proteins in CSF of 120 newly diagnosed PD patients and 45 control subjects without neurological disease. From 75 proteins detectable in the CSF of >90% of the subjects, regularized regression analysis identified four proteins (ß-NGF, CD38, tau and NCAN) as downregulated in newly diagnosed PD patients (age at diagnosis 67.2 ± 9.4 years) compared to controls (age 65.4 ± 10.9 years). Higher tau (ß -0.82 transformed MMSE points/year, 95% CI -1.37 to -0.27, P = 0.005) was also linked to faster cognitive decline over the first ten years after PD diagnosis. These findings provide insights into multiple aspects of PD pathophysiology and may serve as the foundation for identifying new biomarkers and therapeutic targets.

Illuminating the daily life experiences of adolescents with and without ADHD: protocol for an ecological momentary assessment study.

INTRODUCTION: Adolescents with attention-deficit/hyperactivity disorder (ADHD) are at elevated risk of a range of difficulties, among which emotion regulation, peer and co-occurring mental health problems are prominent challenges. To better support adolescents with ADHD, ecologically valid interventions that can be embedded in daily life to target the most proximal antecedents of these challenges are needed. Ecological momentary assessment (EMA) designs are ideally suited to meeting this need. METHODS AND ANALYSES: In the mental health in the moment ADHD study, we will use an EMA design to capture the daily life experiences of approximately 120 adolescents aged 11-14 years with a clinical diagnosis of ADHD and the same number of age-matched and gender-matched peers without a diagnosis of ADHD. We will combine this with comprehensive information gathered from online surveys. Analysing the data using techniques such as dynamic structural equation modelling, we will examine, among other research questions, the role of emotion regulation and peer problems in mediating the links between characteristics of ADHD and commonly co-occurring outcomes such as anxiety, depression and conduct problems. The results can help inform interventions to support improved peer functioning and emotion regulation for adolescents with ADHD. ETHICS AND DISSEMINATION: This study received a favourable ethical opinion through the National Health Service ethical review board and the University of Edinburgh PPLS Research Ethics panel. The results will be disseminated through journal publications, conferences and seminar presentations and to relevant stakeholders, such as those with ADHD, their families and clinicians.

Understanding inequalities in access to adult mental health services in the UK: a systematic mapping review.

BACKGROUND: Population groups experience differential access to timely and high-quality mental healthcare. Despite efforts of recent UK policies to improve the accessibility of mental health services, there remains a lack of comprehensive understanding of inequalities in access to services needed to do this. This systematic mapping review aimed to address this gap by identifying which population groups continue to be poorly served by access to adult mental health services in the UK, how access has been measured, and what research methods have been applied. METHODS: Seven electronic databases were searched from January 2014 up to May 2022. Primary research studies of any design were included if they examined access to adult NHS mental health services in the UK by population groups at risk of experiencing inequalities. Study characteristics, measures of access, inequalities studied, and key findings were extracted. A best-fit framework approach was used, applying Levesque's Conceptual Framework for Healthcare Access to synthesise measures of access, and applying a template derived from Cochrane Progress-Plus and NHS Long Term Plan equality characteristics to synthesise key findings associated with inequalities. RESULTS: Of 1,929 publications retrieved, 152 studies of various types were included. The most frequently considered dimensions of inequality were gender, age, and ethnicity, whilst social capital, religion, and sexual orientation were least frequently considered. Most studies researched access by measuring "healthcare utilisation", followed by studies that measured "healthcare seeking". Key barriers to access were associated with individuals' "ability to seek" (e.g. stigma and discrimination) and "ability to reach" (e.g. availability of services). Almost half of the studies used routinely collected patient data, and only 16% of studies reported patient and public involvement. CONCLUSIONS: Little appears to have changed in the nature and extent of inequalities, suggesting that mental health services have not become more accessible. Actions to reduce inequalities should address barriers to population groups' abilities to seek and reach services such as stigma-reducing interventions, and re-designing services and pathways. Significant benefits exist in using routinely collected patient data, but its limitations should not be ignored. More theoretically informed research, using a holistic measurement of access, is needed in this area. REVIEW REGISTRATION: https://doi.org/10.17605/OSF.IO/RQ5U7 .

Predicting Participation Willingness in Ecological Momentary Assessment of General Population Health and Behavior: Machine Learning Study.

BACKGROUND: Ecological momentary assessment (EMA) is widely used in health research to capture individuals' experiences in the flow of daily life. The majority of EMA studies, however, rely on nonprobability sampling approaches, leaving open the possibility of nonrandom participation concerning the individual characteristics of interest in EMA research. Knowledge of the factors that predict participation in EMA research is required to evaluate this possibility and can also inform optimal recruitment strategies. OBJECTIVE: This study aimed to examine the extent to which being willing to participate in EMA research is related to respondent characteristics and to identify the most critical predictors of participation. METHODS: We leveraged the availability of comprehensive data on a general young adult population pool of potential EMA participants and used and compared logistic regression, classification and regression trees, and random forest approaches to evaluate respondents' characteristic predictors of willingness to participate in the Decades-to-Minutes EMA study. RESULTS: In unadjusted logistic regression models, gender, migration background, anxiety, attention deficit hyperactivity disorder symptoms, stress, and prosociality were significant predictors of participation willingness; in logistic regression models, mutually adjusting for all predictors, migration background, tobacco use, and social exclusion were significant predictors. Tree-based approaches also identified migration status, tobacco use, and prosociality as prominent predictors. However, overall, willingness to participate in the Decades-to-Minutes EMA study was only weakly predictable from respondent characteristics. Cross-validation areas under the curve for the best models were only in the range of 0.56 to 0.57. CONCLUSIONS: Results suggest that migration background is the single most promising target for improving EMA participation and sample representativeness; however, more research is needed to improve prediction of participation in EMA studies in health.

Inflammatory Biomarkers in Newly Diagnosed Patients With Parkinson Disease and Related Neurodegenerative Disorders.

BACKGROUND AND OBJECTIVES: Neuroinflammation contributes to Parkinson disease (PD) pathology, and inflammatory biomarkers may aid in PD diagnosis. Proximity extension assay (PEA) technology is a promising method for multiplex analysis of inflammatory markers. Neuroinflammation also plays a role in related neurodegenerative diseases, such as dementia with Lewy bodies (DLB) and Alzheimer disease (AD). The aim of this work was to assess the value of inflammatory biomarkers in newly diagnosed patients with PD and in patients with DLB and AD. METHODS: Patients from the Norwegian ParkWest and Dementia Study of Western Norway longitudinal cohorts (PD, n = 120; DLB, n = 15; AD, n = 27) and 44 normal controls were included in this study. A PEA inflammation panel of 92 biomarkers was measured in the CSF. Disease-associated biomarkers were identified using elastic net (EN) analysis. We assessed the discriminatory power of disease-associated biomarkers using receiver operating characteristic (ROC) curve analysis and estimated the optimism-adjusted area under the curve (AUC) using the bootstrapping method. RESULTS: EN analysis identified 9 PEA inflammatory biomarkers (ADA, CCL23, CD5, CD8A, CDCP1, FGF-19, IL-18R1, IL-6, and MCP-2) associated with PD. Seven of the 9 biomarkers were included in a diagnostic panel, which was able to discriminate between those with PD and controls (optimism-adjusted AUC 0.82). Our 7-biomarker PD panel was also able to distinguish PD from DLB and from AD. In addition, 4 inflammatory biomarkers were associated with AD and included in a panel, which could distinguish those with AD from controls (optimism-adjusted AUC 0.87). Our 4-biomarker AD panel was also able to distinguish AD from DLB and from PD. DISCUSSION: In our exploratory study, we identified a 7-biomarker panel for PD and a 4-biomarker panel for AD. Our findings indicate potential inflammation-related biomarker candidates that could contribute toward PD-specific and AD-specific diagnostic panels, which should be further explored in other larger cohorts.

Aerobic high-intensity interval exercise training in patients with angina and no obstructive coronary artery disease: feasibility and physiological effects.

Aims: Patients with chest pain and normal coronary angiogram [angina with normal coronary arteries (ANOCA)] constitute a therapeutic problem with considerable functional limitation and reduced quality of life. The aims of the current pilot study were to (i) explore if a structured aerobic high-intensity interval training (HIT) program for 12 weeks was feasible in patients with ANOCA, and (ii) to assess mechanisms related to symptoms in this population. Methods and results: Sixteen patients with ANOCA underwent a 3-month aerobic HIT program with one-to-one monitored exercise sessions on treadmill in a 4 min × 4 manner, three times a week. Four patients served as controls. Coronary flow velocity reserve (CFVR) transthoracic Doppler, flow-mediated vasodilation (FMD) and VO2max was measured at baseline and after 12 weeks. The average attendance to training sessions was 82.3% ± 10.1 (56-94). CFVR in the training group increased from 2.50 ± 0.48 to 3.04 ± 0.71 (P < 0.001) whereas FMD increased from 4.19 ± 2.42% to 8.28 ± 2.85% (P < 0.001). Improvement in CFVR correlated with the relative improvement in FMD (R = 0.45, P = 0.047). This was associated with an increase in VO2max from 28.75 ± 6.51 mL/kg/min to 31.93 ± 6.46 mL/kg/min (P < 0.001). Conclusion: A 3-month program of monitored HIT was feasible, with high adherence resulting in improved functional capacity in patients with ANOCA. CFVR improved and this improvement was associated with improved FMD. ClinicalTrialsgov Identifier: NCT02905630.

LONG-TERM CHANGES IN VISUAL FUNCTION AND EN FACE OPTICAL COHERENCE TOMOGRAPHY FINDINGS IN FOVEA-OFF RETINAL DETACHMENT: A 2-Year Prospective Study.

PURPOSE: To investigate the long-term changes in visual function and outer retinal abnormalities on en face optical coherence tomography after fovea-off rhegmatogenous retinal detachment and to assess associations between functional outcomes and outer retinal abnormalities. METHODS: Prospective, observational study. The following data were collected at 1, 3, 6, 12, and 24 months after retinal reattachment: Best-corrected visual acuity, metamorphopsia (M-CHARTS), aniseikonia (New Aniseikonia Test), altered ellipsoid zone reflectivity, outer retinal folds, macular detachment demarcation, and subfoveal fluid. RESULTS: Thirty-eight patients were included. Best-corrected visual acuity improved significantly from 1 to 12 months and from 12 to 24 months (P < 0.001; P = 0.022). Vertical and horizontal metamorphopsia improved significantly from 1 to 12 months (P < 0.001; P = 0.002), and at 24 months, scores of ≥0.2° were present in 54% and 42% of patients, respectively. The degree of aniseikonia did not change. Best-corrected visual acuity and aniseikonia scores were positively associated with outer retinal fold (r 0.4, P = 0.009; r 0.4, P = 0.048). A gradual normalization of outer retinal reflectivity took place during 24 months. CONCLUSION: Visual acuity improved significantly during the second year after reattachment surgery for fovea-off rhegmatogenous retinal detachment, in parallel with normalization of outer retinal abnormalities on en face optical coherence tomography. Metamorphopsia did not improve after 12 months, and aniseikonia remained unchanged.

Personality and substance use disorder: Characteristics as measured by NEO-personality inventory-revised.

The present study investigates the personality characteristics of a cohort of patients with Substance Use Disorders. The included participants (n = 123) were recruited from specialized treatment for addictions in Norway. The personality scores in the current sample were compared to the Norwegian norm sample with t-tests. Age and gender differences in personality scores were assessed by bivariate correlation analyses and t-tests, respectively. The sample had higher scores on Neuroticism and lower scores on Conscientiousness, Agreeableness, Extraversion, and Openness compared to the norm sample (p < 0.01). The effect sizes of the differences between the current sample and the Norwegian norm sample were large for Neuroticism and Conscientiousness. Older participants scored higher on Agreeableness and its facets A1: Trust and A2: Straightforwardness and lower on the facet E5: Excitement-Seeking (p < 0.01). No significant (p < 0.01) gender differences in NEO-PI-R scores were found. In conclusion, the current results support previous findings regarding personality traits associated with SUD. The clinical relevance of the findings is discussed.

Awareness of age-related changes in Norwegian individuals 50+. Short form questionnaire validation.

Background: A questionnaire assessing awareness of positive and negative age-related changes (AARC gains and losses) was developed in the US and Germany, and validated for the UK and Brazilian populations. In this study, we validated the short-form measure (AARC-10 SF) in the Norwegian population aged 50 and over. In addition, the relationship between cognitive variables and AARC was examined. Methods: Cross-sectional analyses of data from 1,510 participants in the ongoing online PROTECT Norge study were used to explore and confirm the two-factor structure of AARC gains and AARC losses; reliability; measurement invariance across different population groups defined by sex, education level, employment, and in middle age, early old age, and advanced old age. We explored the relationship between AARC and demographic variables (defined in the same way as the population groups). Results: We confirmed the two-factor structure (gains and losses) of the Norwegian translation of the AARC-10 SF. We did not find mutual correlations between related items in gains and losses, except for the physical health item from the gains dimension, which was positively correlated with all items of the losses dimension. Age, sex, marital status, employment, and university education predicted AARC gains and losses. Conclusion: The Norwegian translation of the AARC-10 SF captures individuals' positive and negative self-perceptions of age-related changes in their mental, physical, and cognitive health.

Butterfly glioblastoma: Clinical characteristics, treatment strategies and outcomes in a population-based cohort.

Background: Butterfly glioblastoma is a rare subgroup of glioblastoma with a bihemispheric tumor crossing the corpus callosum, and is associated with a dismal prognosis. Prognostic factors are previously sparsely described and optimal treatment remains uncertain. We aimed to analyze clinical characteristics, treatment strategies, and outcomes from butterfly glioblastoma in a real-world setting. Methods: This retrospective population-based cohort study included patients diagnosed with butterfly glioblastoma in Western Norway between 01/01/2007 and 31/12/2014. We enrolled patients with histologically confirmed glioblastoma and patients with a diagnosis based on a typical MRI pattern. Clinical data were extracted from electronic medical records. Molecular and MRI volumetric analyses were retrospectively performed. Survival analyses were performed using the Kaplan-Meier method and Cox proportional hazards regression models. Results: Among 381 patients diagnosed with glioblastoma, 33 patients (8.7%) met the butterfly glioblastoma criteria. Median overall survival was 5.5 months (95% CI 3.1-7.9) and 3-year survival was 9.1%. Hypofractionated radiation therapy with or without temozolomide was the most frequently used treatment strategy, given to 16 of the 27 (59.3%) patients receiving radiation therapy. Best supportive care was associated with poorer survival compared with multimodal treatment [adjusted hazard ratio 5.11 (95% CI 1.09-23.89)]. Conclusion: Outcome from butterfly glioblastoma was dismal, with a median overall survival of less than 6 months. However, long-term survival was comparable to that observed in non-butterfly glioblastoma, and multimodal treatment was associated with longer survival. This suggests that patients with butterfly glioblastoma may benefit from a more aggressive treatment approach despite the overall poor prognosis.

Within-person Relations between Domains of Socio-emotional Development during Childhood and Adolescence.

Adolescence is a critical period in the development of mental health with nearly 1 in 5 adolescents suffering from mental health problems and more than 40 percent of these experiencing at least one co-occurring mental health disorder. This study investigates whether there are differences in the relations between key dimensions of child and adolescent mental health in adolescence compared to childhood. Mental health and related socio-emotional traits were measured longitudinally at ages 4, 7, 8, 9, 11, 13, and 16 in the Avon Longitudinal Study of Parents and Children (N = 11279) using the Strengths and Difficulties Questionnaires. Graphical Vector Autoregression models were used to analyse the temporal within-person relations between conduct problems, emotional problems, hyperactivity/inattention, peer problems and prosociality across childhood (ages 4 to 9) and adolescence (11 to 16). Results suggest that adolescence is characterised by an increase in the number and strength of temporal relations between socio-emotional difficulties. In particular, in adolescence there were bidirectional connections between peer problems and emotional problems, between conduct problems and hyperactivity/inattention and between prosociality and conduct problems as well as hyperactivity/inattention. In childhood, conduct problems and prosociality were reciprocally related. Results also suggested peer problems as a potential mediating factor between conduct and emotional problems in childhood. Overall, this study suggests that different domains of socio-emotional development influence each other over development. Adolescence is characterised by an increase in temporal connections, which may be one factor underlying the increased vulnerability to the onset of mental health problems during that period.

Association of redox and inflammation-related biomarkers with prognosis in IgA nephropathy: A prospective observational study.

BACKGROUND: IgA nephropathy (IGAN) has a variable prognosis. Risk stratification tools are usually based on clinical parameters combined with histologic Oxford-MEST-C score. Circulating redox- and inflammation-related biomarkers may be related to histological changes in IGAN. Therefore, we studied the performance of these biomarkers in predicting the rate of GFR-loss in IGAN. METHODS: This was an observational prospective study. Fifty-seven stable patients with IGAN were examined at baseline and after a mean observational time of 5.9 ± 1.1 years. The main outcome measure was eGFR-loss per year with predefined groups, stable (<1.5 ml/min/1,73 m2/year, intermediate (between 1.5 and 2.5), and progressive (>2.5). RESULTS: Fifteen patients were in the progressive, 11 in the intermediate, and 31 in the stable groups. Positive relationships were detected between eGFR-loss per year and baseline nitrate, oxidized free cysteine, parathyroid hormone, APRIL, TNFR1, CD30, chitinase 3, and LIF-5. The progressive group had elevated concentrations of these markers plus AOPP and osteopontin. Through ROC analysis, it was observed that AOPP, oxidized free cysteine, TNFR1, osteopontin, and LIF-5 had the best ability to identify progressive vs. non-progressive diseases. The combination of urinary albumin/creatinine ratio with AOPP and TNFR1 significantly improved the ability to identify progressive eGFR decline with ROC AUC 95% (adjusted 85%). CONCLUSIONS: We found prognostic biomarkers related to the rate of eGFR-loss in IGAN. These biomarkers may help identify patients at risk of progressive disease. AOPP, oxidized free cysteine, TNFR1, and osteopontin are promising prognostic biomarkers in IGAN, however, further validation studies are needed.