Non-suicidal Self Injury: Relationship with Attachment, Childhood Trauma and Dissociation. / Intihar Amaci Olmaksizin Kendine Zarar Verme Davranisi: Baglanma, Çocukluk Çagi Travmasi ve Disosiasyon Iliskisi.

OBJECTIVE: This study aimed to investigate the relationship between non-suicidal self injury (NSSI), dissociative experiences, types of childhood traumas, and attachment styles in adolescents. METHOD: Adolescents aged 14-18 with a diagnosis of NSSI and a psychiatric disorder (NSSI, n=40), a clinical comparison group which have any psychiatric disorder without NSSI (CCG, n=40) and a healthy control group (HC, n=40) were included. The diagnosis of NSSI were confirmed with the research criteria of the Diagnostic and Statistical Manual of Mental Disorders-5th Edition. All participants were evaluated using the Kiddie Schedule for Affective Disorders and Schizophrenia - Present and Lifetime Version. Childhood Trauma Questionnaire (CTQ), the short form of the Inventory of Parent and Peer Attachment (IPPA), and the Adolescent Dissociative Experiences Scale (ADES) were used. RESULTS: The dissociation scores were higher in the NSSI group compared to the CCG group (4.8±2.0 and 2.9±2.2, p<0.001). NSSI group also had higher trauma levels but the difference was not statistically significant (48.0±14.2 and 41.4±5.0, p=0.062). Similarly, the NSSI group yielded higher scores of CTQ (48.0±14.2 and 33.8±6.8, p<0.001) and ADES (4.8±2.0 and 1.8±1.6, p<0.001) compared to HC group. Also, compared to the HC group, the NSSI group had more impaired attachment to father (42.0±19.7 vs. 53.0±21.7, p=0.056) and more frequently reported physical and emotional abuse. Finally, there were negative correlations between attachment levels to mother and CTQ total scores (r=-0.70, p<0.001) and between father attachment subscale and ADES scores (r=-0.33, p=0.047). CONCLUSION: Our study supports the notion that dissociation, trauma and insecure attachment are more common in individuals with NSSI. Psychotherapeutic approaches based on current findings will provide more benefits to patients.

Safety of Atypical Antipsychotics in a Child and Adolescent Inpatient Setting: A Naturalistic Study.

Background: This study's objective was to investigate the adverse effects of atypical antipsychotics (AAPs) on the metabolic, hematological, and endocrinological systems in the inpatient environment for children and adolescents with diverse psychiatric disorders. Methods: A retrospective assessment of 208 children's and adolescents' medical records was conducted. All patients were on AAP monotherapy. At baseline and after treatment, measurements of body weight, height, body mass index (BMI), BMI z-score, fasting blood glucose (FBG), total cholesterol, low-density lipoprotein cholesterol, triglycerides, high-density lipoprotein cholesterol, complete blood count, liver functions, thyroid functions, and prolactin levels were made. Scores from the Children's Global Assessment Scale (CGAS) and the Health of the Nation Outcome Scales for Children and Adolescents (HoNOSCA) were preserved. Results: The overall patient population had a mean age of 14.50 ± 2.32 years, 139 girls, and 69 boys. Of the patients, 63 (30.29%) were on risperidone (RIS), 69(33.17%) were on aripiprazole (ARI), 32 (15.39%) were on quetiapine (QUE), 42 (20.19%) were on olanzapine (OLA), and 2 (0.96%) were on clozapine (CLO). In the OLA group, the BMI and BMI z-score increased more than in the RIS, QUE, and ARI groups (P = .030, P = .014, and P = .001, respectively) (P = .001). The mean difference in CGAS and HoNOSCA between the start of antipsychotic medication and hospital discharge was statistically different for all four groups (P = .001 for all). The mean FBG levels in the OLA group increased statistically significantly (P = .013, P = .021) in contrast to the RIS group. In addition, a statistically significant difference in triglycerides across the groups was found (P = .003). Conclusion: According to the findings of our study, children and adolescents appear to be at a significant risk for psychotropic-induced PRL increase, weight gain, metabolic, and hematological consequences. To prevent serious health problems, a meticulous risk-benefit assessment for AAPs treatment should be done between clinicians and patients and their families.

The Contribution of Explainable Machine Learning Algorithms Using ROI-based Brain Surface Morphology Parameters in Distinguishing Early-onset Schizophrenia From Bipolar Disorder.

RATIONALE AND OBJECTIVES: To differentiate early-onset schizophrenia (EOS) from early-onset bipolar disorder (EBD) using surface-based morphometry measurements and brain volumes using machine learning (ML) algorithms. METHOD: High-resolution T1-weighted images were obtained to measure cortical thickness (CT), gyrification, gyrification index (GI), sulcal depth (SD), fractal dimension (FD), and brain volumes. After the feature selection step, ML classifiers were applied for each feature set and the combination of them. The SHapley Additive exPlanations (SHAP) technique was implemented to interpret the contribution of each feature. FINDINGS: 144 adolescents (16.2 ± 1.4 years, female=39%) with EOS (n = 81) and EBD (n = 63) were included. The Adaptive Boosting (AdaBoost) algorithm had the highest accuracy (82.75%) in the whole dataset that includes all variables from Destrieux atlas. The best-performing algorithms were K-nearest neighbors (KNN) for FD subset, support vector machine (SVM) for SD subset, and AdaBoost for GI subset. The KNN algorithm had the highest accuracy (accuracy=79.31%) in the whole dataset from the Desikan-Killiany-Tourville atlas. CONCLUSION: This study demonstrates the use of ML in the differential diagnosis of EOS and EBD using surface-based morphometry measurements. Future studies could focus on multicenter data for the validation of these results.

Illness-related outcomes of illicit substance use disorder in adolescents with early onset schizophrenia: a multicenter study.

OBJECTIVES: Lifetime co-occurring substance use disorders are common at the time of presentation for the treatment of primary psychosis. Our aim was to investigate the clinical characteristics of adolescents with early-onset schizophrenia/schizoaffective disorder (EOS), categorized as either with (EOS + SUD) or without SUD (non-SUD/EOS), in a multi-center sample. METHODS: Between 2016 and 2022, 255 patients were evaluated across three tertiary-care inpatient units. Diagnoses were confirmed by the treating physician according to the DSM-5 during the hospital stay. The severity of symptoms was measured using the Positive and Negative Syndrome Scale (PANSS). RESULTS: The EOS + SUD group exhibited a higher illness onset, fewer years of education, longer duration of untreated psychosis (DUP), a higher frequency of male gender, more frequent hospitalizations, increased use of clozapine and zuclopenthixol LAI, along with higher rates of post-traumatic stress disorder and conduct disorder. Notably, differences in DUP, clozapine use, and the number of hospitalizations did not persist in the multivariate logistic regression model. CONCLUSIONS: Our findings support the notion of SUD playing a role in modifying the course of illness in EOS. Future studies should emphasize exploring treatment responses to medications and interventions among youth with dual diagnoses.

Are Communication Skills, Emotion Regulation and Theory of Mind Skills Impaired in Adolescents with Developmental Dyslexia?

This study investigates pragmatic language impairment, Theory of Mind (ToM), and emotion regulation in adolescents with Developmental Dyslexia(DD). The Social Responsiveness Scale-2(SRS) and Children's Communication Checklist-2(CCC-2) scores were found to be statistically significantly higher in the DD group than in healthy controls. DD group had lower performance in ToM skills and they have more difficulties in emotion regulation. We also found that CCC-2 and ToM scores were significantly correlated in adolescents with DD. These results may be important in understanding the difficulties experienced in social functioning and interpersonal relationships in adolescents with DD.

The association between plasma thyroxine levels and neurocognitive impairment in early-onset schizophrenia and other psychosis spectrum disorders.

BACKGROUND/AIM: Limited studies have delved into the association between thyroid hormones and neurocognition in schizophrenia. We aimed to evaluate the relationship between thyroid hormone levels and neurocognitive functions in patients with schizophrenia and other psychosis spectrum disorders (SSD). METHOD: A total of 135 patients with early-onset SSD were included in the study. The participants underwent a cognitive assessment. Blood samples were collected to measure serum levels of thyroid-stimulating hormone (TSH), free thyroxine (fT4), and free triiodothyronine (fT3). Subgroup analyses were conducted based on the severity of the psychosis. FINDINGS: The results revealed a significant association between fT4 levels and various cognitive domains, including processing speed, verbal fluency, working memory, verbal learning, verbal memory, and visual memory. However, serum TSH and fT3 levels exhibited no significant association with neurocognitive impairment in adjusted linear regression models. Specifically, the correlation between fT4 levels and global cognition was more pronounced in patients with higher scores. CONCLUSIONS: Serum fT4 levels were associated with the performance across various cognitive domains in cases of early-onset psychotic disorders. This correlation was accentuated among patients with higher illness severity. Future studies could focus on the effects of specific pathways that can affect the course and progression of psychosis.

INTERNET GAMING DISORDER AND PROBLEMATIC INTERNET USE: THE LINKS BETWEEN CYBERBULLYING, AGGRESSION, LONELINESS AND PSYCHIATRIC COMORBIDITIES.

AIMS: To compare adolescents clinically diagnosed with Internet Gaming Disorder (IGD) and problematic internet use (PIU) in terms of cyberbullying, aggression, and loneliness. METHODS: Male adolescent patients (N=124, 14.3±1.7 years) with Internet Addiction Scale (IAS) scores ≥50 were clinically interviewed for IGD in utilizing DSM-5 criteria. Patients without full IGD criteria were included as PIU comparisons. Clinical variables were assessed using the second version of the Revised Cyber Bullying Inventory, short-form of the UCLA Loneliness Scale, Buss Perry Aggression Questionnaire, Child Depression Inventory, and Screen for Child Anxiety Related Emotional Disorders. RESULTS: Compared to individuals with PIU, those with IGD were significantly more likely to have attention-deficit hyperactivity disorder, higher social phobia scores, higher cyberbullying scores, higher loneliness scores, been a cyberbully, and been a cyberbully victim. CONCLUSION: Male adolescents with IGD have higher rates of psychiatric comorbidity, perceived loneliness, cyberbullying, and being a victim of cyberbullying than those with PIU. Future studies could evaluate these predictors of transition from PIU to IGD in large cohort samples.

Can diffusion tensor imaging have a diagnostic utility to differentiate early-onset forms of bipolar disorder and schizophrenia: A neuroimaging study with explainable machine learning algorithms.

BACKGROUND/AIM: Accurate diagnosis of early-onset psychotic disorders is crucial to improve clinical outcomes. This study aimed to differentiate patients with early-onset schizophrenia (EOS) from early-onset bipolar disorder (EBD) with machine learning (ML) algorithms using white matter tracts (WMT). METHOD: Diffusion tensor imaging was obtained from adolescents with either EOS (n = 43) or EBD (n = 32). Global probabilistic tractography using an automated tract-based TRACULA software was performed to analyze the fractional anisotropy (FA) of forty-two WMT. The nested cross-validation was performed in feature selection and model construction. EXtreme Gradient Boosting (XGBoost) was applied to select the features that can give the best performance in the ML model. The interpretability of the model was explored with the SHApley Additive exPlanations (SHAP). FINDINGS: The XGBoost algorithm identified nine out of the 42 major WMTs with significant predictive power. Among ML models, Support Vector Machine-Linear showed the best performance. Higher SHAP values of left acoustic radiation, bilateral anterior thalamic radiation, and the corpus callosum were associated with a higher likelihood of EOS. CONCLUSIONS: Our findings suggested that ML models based on the FA values of major WMT reconstructed by global probabilistic tractography can unveil hidden microstructural aberrations to distinguish EOS from EBD.

Comparison of inflammation markers and severity of illness among patients with COVID-19, acute psychiatric disorders and comorbidity

Background and objectives: Neutrophil, lymphocyte counts, lactate dehydrogenase (LDH), D-dimer, fibrinogen, and comorbid illness are associated with the course and prognosis of COVID-19. However, the course of acute severe psychiatric disorders overlapping with COVID-19 infection was not investigated and remained as an unclarified research area. This study aimed to demonstrate inflammatory markers and the course of patients suffering from both conditions.MethodsThirty-eight inpatients with COVID-19 and comorbid acute psychiatric disorders (COVID-19+PD), 31 inpatients with COVID-19, and 38 inpatients with an acute psychiatric disorder (PD) were included in the study. Neutrophil, lymphocyte counts, serum ferritin, lactate dehydrogenase (LDH), D-dimer, fibrinogen, Systemic immune-inflammation index (SII), neutrophil/lymphocyte ratio (NLR), and C-reactive protein (CRP) were compared to evaluate inflammation levels.ResultsPatients with SARS-CoV-2 infection had older age compared to the PD group. CALL (Comorbidity, age, lymphocyte, lactate dehydrogenase) scores which predict the progression risk in patients with COVID-19 pneumonia, of both COVID-19 groups were found similar. The COVID-19+PD had higher SII in the study sample. Additionally, the COVID-19+PD group had higher NLR, ferritin, and CRP levels than those of the PD group.ConclusionsThe prognosis of COVID-19 is not worse when accompanied by a psychiatric disorder. Laboratory assessment can guide clinicians to distinguish those infected with SARS-CoV-2 within psychiatric inpatient units. The biochemical assessment did not robustly support higher inflammatory levels in the comorbid COVID-19 and psychiatric disorder group compared to the COVID-19 group. (AU)

Reduced Cortical Thicknesses of Adolescents with Bipolar Disorder and Relationship with Brain-derived Neurotrophic Factor.

Background: Cortical thickness (CT) and brain-derived neurotrophic factor (BDNF) were widely investigated in bipolar disorder (BD). Previous studies focused on the association between the volume of subcortical regions and neurotrophic factor levels. Objective: In this study, we aimed to evaluate the association of the CT in youth with early-onset BD with BDNF levels as a potential peripheral marker of neuronal integrity. Method: Twenty-three euthymic patients having a clinical diagnosis of BD and 17 healthy subjects as an age-matched control group with neuroimaging and blood BDNF levels were found eligible for CT measurement. A structural magnetic resonance scan (MRI) and timely blood samples were drawn. Results: Youth with BD exhibited lower cortical thickness in caudal part of left (L) middle frontal gyrus, right (R) paracentral gyrus, triangular part of R inferior frontal gyrus, R pericalcarine region, R precentral gyrus, L precentral gyrus, R superior frontal gyrus and L superior frontal gyrus when compared to healthy controls. The effect sizes of these differences were moderate to large (d=0.67-0.98) There was a significant correlation between BDNF levels with caudal part of the R anterior cingulate gyrus (CPRACG) in adolescents with BD (r=0.49, p=0.023). Conclusion: As a special region for mood regulation, the CT of the caudal part of the R anterior cingulate gyrus had a positive correlation with BDNF. Regarding the key role of CPRACG for affective regulation skills, our results should be replicated in future follow-up studies, investigating a predictive neuroimaging biomarker for the early-onset BD.

Parent rated bedtime resistance and comorbidity may predict levels of attention among Turkish children diagnosed with ADHD in on-line education classes during the COVID-19 outbreak.

OBJECTIVE: This study aimed to compare the attention levels, of Turkish children and adolescents with Attention Deficit/ Hyperactivity Disorder (ADHD) in on-line education classes with healthy controls. METHODS: This study is a cross-sectional, internet-based, case-control study that recruited 6-18 years old patients diagnosed with ADHD and receving treatment and healthy controls from eight centers. The measurements used in the study were prepared in the google survey and delivered to the participants via Whatsapp application. RESULTS: Within the study period, 510 children with ADHD and 893 controls were enrolled. Parent- rated attention decreased significantly in both groups during on-line education classes due to COVID-19 outbreak (p<0.001; for each). Children and adolescents with ADHD had significantly elevated bedtime resistance, problems in family functioning difficulties than control children according to parental reports (p=0.003; p<0.001; p<0.001, respectively). Furthermore, bedtime resistance and comorbidity significantly predicted attention levels in on-line education. CONCLUSION: Our findings may underline the need to augment student engagement in on-line education both for children without attention problems and those with ADHD. Interventions shown to be effective in the management of sleep difficulties in children as well as parent management interventions should continue during on-line education.

Development and validation of Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS) for Internet Gaming Disorder (IGD) and factor analytic assessment.

OBJECTIVE: To develop and validate Kiddie Schedule for Affective Disorders and Schizophrenia, Present and Lifetime version (K-SADS-PL) for Internet Gaming Disorder (IGD) in adolescents. METHODS: Questions and threshold criteria of the K-SADS-IGD was generated based on the related section of K-SADS-PL. Then, the sample consist of IGD group and matched control group with no significant difference in psychiatric comorbidities from clinical settings were included to assess the psychometric properties of the K-SADS-IGD. Exploratory and Confirmatory Factor analysis were conducted to evaluate and compare DSM model of IGD and two different Models of IGD proposal in adolescents. RESULTS: Exploratory Factor Analysis of K-SADS-IGD revealed a single factor explaining 61.469% of the total variance. Confirmatory Factor Analysis indicates that although the K-SADS-IGD model fit indices were also acceptable, Model 1, which excluded the 7th criterion of IGD criteria of DSM-5 showed better fit in adolescent population. The Likelihood Ratio Positive and the Likelihood Ratio Negative estimates for the diagnosis of K-SADS-IGD were 31.4 and 0.12, respectively, suggesting that K-SADS-IGD was beneficial for determining the presence and the absence of IGD in adolescents. Also, K-SADS-IGD could detect disordered gamers with significantly low functionality (even after controlling the impact of comorbidities) from non-disordered gamers. CONCLUSION: K-SADS-IGD was found to be a reliable and valid instrument in adolescents. The model excluding 7th criteria of DSM-5 IGD was found to be more consistent than the current DSM-5 IGD model in the adolescent population. Therefore, the diagnostic criteria might be required to adjust according to the age group since the clinical symptomatology of IGD in adolescents may differ from that in adults. The K-SADS-IGD may meet the need for a certain and standardized tool to assess IGD in this population.

Associations Between Blood Levels of NLRP3 Inflammasome Components and Obsessive Compulsive Disorder.

Introduction: Even though the effect of inflammation on pathogenesis of obsessive compulsive disorder (OCD) is known, information regarding the underlying mechanisms are yet to be revealed. The NLRP3 inflammasome complex is an important component of the innate immune system that initiates and mediates inflammatory response to a variety of stimuli. This study aims to inquire into a possible association between NLRP3 inflammasome complex and OCD. Methods: This case-control study included 103 participants (51 cases with OCD and 52 healthy controls). All participants were evaluated with the Yale Brown Obsessive Compulsive Scale, Hamilton Depression Scale, and Hewitt Multidimensional Perfectionism Scale. RNA and proteins were extracted from peripheral blood mononuclear cells. Expression of NLRP3 inflammasome components were determined using quantitative real-time polymerase chain reaction (PCR) and Western blotting. Levels of Serum IL-1beta and IL-18 cytokine were determined by ELISA. Results: NEK7 and CASP1 mRNA levels were significantly higher in OCD patients, compared to controls. Pro-caspase-1 protein levels were elevated, as well. Regression analysis showed that NEK7 mRNA and pro-caspase-1 protein levels can differentiate OCD and healthy control groups. Conclusion: Our results provide insight into the molecular alterations that could explain the inflammation-OCD association.

Investigating the effects of age, IQ, dosing, and anthropometric measures on the treatment persistence in long-term methylphenidate use.

OBJECTIVES: This study aimed to determine anthropometric and clinical correlates of persistence to methylphenidate (MPH) treatment in Turkish youth with attention-deficit hyperactivity disorder (ADHD). METHODS: Data from medical records of 518 children and adolescents with ADHD were recorded between March 2012 and January 2022. Clinical variables of patients persistent to MPH ≥ 2 years were compared with those of the non-persistent group. Children and adolescent age groups were compared using Kaplan-Meier estimates for treatment drop-outs. Cox regression analysis until the treatment drop-out was implemented to calculate hazard ratios (HRs) for gender, age, full-scale IQ, and anthropometric measures. Weight, height, and body mass index (BMI) z-scores were calculated per national guidelines. RESULTS: Persistent and non-persistent study groups had similar full-scale IQ, weight, height, and BMI z-scores at treatment onset. The mean MPH dose was significantly higher in the persistent group compared to the non-persistent counterparts (31.43 ± 10.70 vs. 24.28 ± 9.60 mg/d, p < 0.001, d = 0.70). Compared to children, the adolescents showed earlier treatment drop-outs in males (p < 0.001) but not in females (p = 0.110). Younger age showed a positive effect on treatment persistence. Conversely, baseline BMI and IQ scores were not associated with long-term persistence. DISCUSSION: Our study demonstrated lower daily doses and older age-onset were associated with early drop-outs in MPH treatment. These findings supported the notion that effective dosing strategies at younger ages could increase the sustainability of the treatment with MPH in the Turkish population.

Psychomotor agitation and irritability in adolescents with manic episode: Clinical data from three inpatient units.

OBJECTIVES: We aimed to investigate the characteristics of adolescents with Bipolar disorder-I with irritability and agitation (Mania+IA) compared to those without irritability and agitation (Mania-IA) in a multi-center representative sample. METHODS: Data of 145 patients from three tertiary-care inpatient units between 2016 and 2021 were obtained. Psychomotor agitation was defined as a score of ≥3 on the YMRS "Increased Motor Activity--Energy" item, irritability as a score of ≥4 on the YMRS 'irritability' item, and severity anchors of speech and thought disturbance on the YMRS '6 and 7' items. RESULTS: Previous manic episodes (p = 0.013), involuntary hospitalization (p = 0.006), psychotic features (p = 0.001), formal thought disorder (p = 0.010) and aggressive/disruptive behavior (p = 0.021) were more frequent in the Mania+IA group. Conversely, depressive episodes (p = 0.006) and family history of depression (p = 0.024) were more frequent in the Mania-IA group. The Mania+IA had poorer functioning at the time of discharge. CONCLUSIONS: Irritability and agitation were closely related to complications, psychotic symptoms and thought disorder. Assessment and monitoring of psychomotor agitation and irritability may help child and adolescent psychiatrists to predict clinical difficulties and appropriate interventions.

Comparison of inflammation markers and severity of illness among patients with COVID-19, acute psychiatric disorders and comorbidity.

Background and objectives: Neutrophil, lymphocyte counts, lactate dehydrogenase (LDH), D-dimer, fibrinogen, and comorbid illness are associated with the course and prognosis of COVID-19. However, the course of acute severe psychiatric disorders overlapping with COVID-19 infection was not investigated and remained as an unclarified research area. This study aimed to demonstrate inflammatory markers and the course of patients suffering from both conditions. Methods: Thirty-eight inpatients with COVID-19 and comorbid acute psychiatric disorders (COVID-19+PD), 31 inpatients with COVID-19, and 38 inpatients with an acute psychiatric disorder (PD) were included in the study. Neutrophil, lymphocyte counts, serum ferritin, lactate dehydrogenase (LDH), D-dimer, fibrinogen, Systemic immune-inflammation index (SII), neutrophil/lymphocyte ratio (NLR), and C-reactive protein (CRP) were compared to evaluate inflammation levels. Results: Patients with SARS-CoV-2 infection had older age compared to the PD group. CALL (Comorbidity, age, lymphocyte, lactate dehydrogenase) scores which predict the progression risk in patients with COVID-19 pneumonia, of both COVID-19 groups were found similar. The COVID-19+PD had higher SII in the study sample. Additionally, the COVID-19+PD group had higher NLR, ferritin, and CRP levels than those of the PD group. Conclusions: The prognosis of COVID-19 is not worse when accompanied by a psychiatric disorder. Laboratory assessment can guide clinicians to distinguish those infected with SARS-CoV-2 within psychiatric inpatient units. The biochemical assessment did not robustly support higher inflammatory levels in the comorbid COVID-19 and psychiatric disorder group compared to the COVID-19 group.

Neurocognitive and social cognitive impairments in remission and symptomatic states of early-onset schizophrenia spectrum disorders.

Previous studies demonstrated neurocognitive impairments in early-onset schizophrenia (EOS) and other psychotic spectrum disorders (PSD). This study aimed to compare remitted and symptomatic cases in terms of neurocognition and theory of mind (ToM). 50 healthy controls (HC) and 106 patients diagnosed schizophrenia in remission (EOS-R, n = 38), symptomatic schizophrenia (EOS-S, n = 34), and other PSD (n = 34) were included in our study. The Positive and Negative Symptom Scale, Columbia-Suicide Severity Rating Scale, Reactive and Proactive Aggression Questionnaire were used to evaluate psychopathology. A cognitive battery was conducted to measure verbal learning/memory, visual learning/memory, executive functions (EF), inhibition, processing speed (PS), verbal fluency skills. Reading Mind in Eyes Test (RMET) and Faux-Pas tests were implemented to assess ToM. Principal Component Analysis was used to identify cognitive domain scores. Patient groups had poorer performance in cognitive domains than the HC group. The cognitive impairment and psychopathology levels of EOS-R and the PSD groups were comparable for all cognitive domains. The EOS-S group also had poorer scores in Rey verbal learning score (d = 0.87), RMET (d = 0.72), verbal fluency (d = 0.66), PS/EF (d = 0.82) and visual learning/memory (d = 0.83) test scores than the PSD group. Only RMET (d = 0.72) and executive function/processing speed domain (d = 0.63) were significantly impaired in the EOS-S group than the EOS-R group Cognitive impairments seen in remitted psychotic disorders were on the same continuum. Impaired EF/PS and ToM skills could be a cognitive marker for symptomatic illness in youth.

Electroconvulsive therapy or clozapine for adolescents with treatment-resistant schizophrenia: an explorative analysis on symptom dimensions.

OBJECTIVE: This study sought to compare pre-intervention patient characteristics and post-intervention outcomes in a naturalistic sample of adolescent inpatients with treatment-resistant psychotic symptoms who received either electroconvulsive therapy (ECT) or clozapine. METHODS: Data of adolescents with schizophrenia/schizoaffective disorder receiving ECT or clozapine were retrospectively collected from two tertiary-care psychiatry-teaching university hospitals. Subscale scores of the Positive and Negative Symptom Scale (PANSS) factors were calculated according to the five-factor solution. Baseline demographics, illness characteristics, and post-intervention outcomes were compared. RESULTS: There was no significant difference between patients receiving ECT (n = 13) and clozapine (n = 66) in terms of age, sex, and the duration of hospital stay. The ECT group more commonly had higher overall illness and aggression severity. Smoking was less frequent in the clozapine group. Baseline resistance/excitement symptom severity was significantly higher in the ECT group, while positive, negative, affect, disorganisation, and total symptom scores were not. Both interventions provided a significant reduction in PANSS scores with large effect sizes. CONCLUSION: Both ECT and clozapine yielded high effectiveness rates in adolescents with treatment-resistant schizophrenia/schizoaffective disorder. Youth receiving ECT were generally more activated than those who received clozapine.

Decreased Functioning and Contents of Worries Associated with Anxiety or Depression Symptom Levels Within Patients Hospitalized with COVID-19 Infection.

BACKGROUND: High levels of anxiety and depression symptoms have been reported in patients with COVID-19 compared to the general population. These symptoms were related to variables such as gender, age, and education level with anxiety/depression levels. We aimed to determine the relationship between anxiety and depression symptoms and epidemic-related decreased functioning, worry, and quality of life (QoL). SUBJECTS AND METHODS: The study included 238 hospitalized participants due to COVID-19 and 168 participants who were hospitalized for reasons other than COVID-19. The Hospital Anxiety and Depression Scale (HADS), Short Form 36 (SF-36) QoL Scale, and questionnaires prepared by the researchers were applied. The effects of current worries, impairment in QoL, and decreased functioning during quarantine on levels of anxiety and depressive symptoms were investigated by implementing multiple linear regression analyzes. RESULTS: Our study results suggested the anxiety and depression levels of patients with COVID-19 were not higher than those in the internal medicine inpatient unit at the same time. Worries about transmission to others, uncertainty, social media news, and health anxiety increased the psychiatric symptoms of participants with COVID-19. Disruptions in social relationships and health also have an effect on anxiety/depression symptom levels. Conversely, results indicated losses and worries in occupation and finance did not significantly affect mental symptoms. CONCLUSION: Worries about transmission to others, uncertainty and health anxiety are closely related to anxiety and depression among patients with COVID-19. There is a need for research in the mental health field for the later stages of the pandemic in different cultures.

Blood neurofilament light chain and thrombospondin-1 levels of patients with autism spectrum disorder.

BACKGROUND: Neurofilaments are intermediary filaments associated with neurodegenerative processes. Thrombospondin-1 (TSP-1) is a biological marker playing a role in synaptogenesis. This study aimed to investigate serum neurofilament light chain (NFL), and TSP1 levels of patients with autism spectrum disorder (ASD) compared to typically developing (TD) children. METHODS: Forty-three patients with ASD and forty-five TD children were included. Serum biomarker levels were measured using the sandwich ELISA technique. The Childhood Autism Rating Scale (CARS) was implemented to measure the severity of ASD. RESULTS: NFL and TSP1 levels did not differ between study groups (For NFL, ASD = 47.8 ± 11.4 vs. TD = 48.2 ± 15.3 pg/mL, p = 0.785; for TSP1, ASD = 224.4 ± 53.7 vs. TD = 224.7 ± 69.0 ng/mL, p = 0.828). Stereotyped behavior and sensory sensitivity domain of the CARS scale was negatively correlated with serum TSP-1 (r = -0.390, p = 0.010) and NFL (r = -0.377, p = 0.013) levels. Age was also positively correlated with NFL levels (r = 0.332, p = 0.030) in the ASD groups but not in the TD group. DISCUSSION: Our results did not support the neurodegenerative process of ASD. Future studies are needed to investigate neuroprogression in a longitudinal follow-up.