Metabolic syndrome in patients with obsessive-compulsive disorder.

Objective: Metabolic syndrome (MetS) is a collection of chemical and clinical risk factors. Patients with obsessive-compulsive disorder (OCD) might be at risk of MetS. This study aimed to investigate the prevalence and clinical correlates of MetS in an Iranian clinical sample of patients with OCD. Methods: We included 107 patients with OCD in a cross-sectional study. Demographic and clinical characteristics including OC symptoms, duration of treatment, age of onset, medications history, and comorbidity with other psychiatric disorders were collected. Results: The prevalence of MetS was 39.2%. Abdominal obesity was the most frequent component of MetS (68.2%), followed by low high-density lipoprotein cholesterol (50.5%). High serum triglycerides, high fasting serum glucose, high systolic blood pressure, and high diastolic blood pressure were observed in 47.7, 20.6, 18.7, and 9.3% of patients, respectively. Patients with MetS were older, married, had a low education level, had a high body mass index, and had no aggressive OC symptoms. MetS was not associated with psychiatric disorders comorbidities, age of onset, and duration of treatment. Conclusion: The results of this study were in line with the results of other studies that reported the poor health status of patients with OCD. A large number of patients are affected or are at risk of developing MetS. These patients need medical care along with the usual OCD treatments.

Obsessive Compulsive Disorder and Bipolar Disorder Comorbidity: A Comparative Study.

Objective: One of the difficult comorbidity of Obsessive-Compulsive disorder (OCD) to manage is bipolar disorder (BD). Results of previous studies on OCD-BD comorbidity may have been affected by different clinical definitions of OCD-BD, small or different sample sizes, different thresholds for including BD patients and different accuracies in OCD diagnosing. We tried to reduce limitations of previous studies and hypothesized that the OCD-BD group is a unique category and can be associated with greater levels of severity, episodic course of illness, more hostility and suicidal behaviors and different dimensions of OC symptoms. Method : We compared 44 OCD-BD patients with 94 OCD patients who had completed at least a 24-month follow-up period. Clinical interviews and rating scales, and obtaining information from clinical charts were used to assess the patients. Life chartings of OCD and BD course were made for each patient and were categorized into four groups based on the clinical course of OCD. Results: OCD-BD was characterized by a more continuous course, higher dysfunction, suicide and hostility scores. OC aggressive symptoms, having first-degree relatives with OCD and comorbidity of any anxiety disorders were associated with a reduction in odds of belonging to the OCD-BD group. Conclusion: OCD-BD can be considered a unique category with greater morbidity and a more episodic course of OCD. Further research is recommended for exploring potential biological, social and psychological factors along with OCD-BD comorbidity.

Evaluation of Hippocampal Function in Temporal Lobe Epilepsy: Spatial Bayesian Variable Selection and Grouping the Regression Coefficient in Multilevel Functional Magnetic Resonance Imaging Data Analysis.

Background: A pre-surgical evaluation of cognitive functions in patients with mesial temporal lobe epilepsy (mTLE) is critical. The limitations of the usual brain analysis model were resolved by the spatial Bayesian variable selection (SBVS) method. An Ising and Dirichlet Process (Ising-DP) model considers SBVS and the grouping of a large number of voxels. The present study aimed to identify brain areas involved in episodic memory in patients with right mTLE and controls via the Ising-DP model. The model was extended to include between-subject factors (BSFs), and the results were compared with other classical methods. Methods: The present cross-sectional study was conducted on 15 patients with right mTLE and 20 controls in Tehran, Iran, in 2018. During functional magnetic resonance imaging, the subjects were tested with the face-encoding memory task, followed by a recognition memory test. The participants demographic factors such as age, sex, marital status, area of residence, and years of schooling were considered to comprise BSFs. The independent t test, the chi-square test, and the correlation test were conducted using the SPSS software (version 20.0). The image processing was carried out using SPM (version 12.0) and MATLAB (version R2014a). Results: The Ising-DP model appropriately (R2=0.642) detected activated hippocampal areas. The model adjusted for BSFs indicated a better fit by the significant effect of age (P((γ]>0.91), sex (P[γ]>0.87), and years of schooling (P[γ]>0.89). The heat maps exhibited decreased activation in the right hippocampal region in the patients compared with the controls (P<0.0001). Right hippocampal activity had a significant positive correlation with the recognition memory test in the mTLE group (r=0.665) and the control group (r=0.593). Conclusion: The Ising-DP model was sufficiently sensitive to detect activated areas in our patients with right mTLE during the face-encoding memory task. Since the model adjusted for BSFs improved sensitivity, we recommend the use of more detailed BSFs such as seizure history in future research.

Platelet Indices Alterations in Children With Type 1 Diabetes Mellitus.

Platelet (PLT) hyperactivity is a key factor which contributes to cardiovascular complications in patients with type 2 diabetes mellitus even in preclinical stages of disease. To the best of our knowledge, there is limited researches in this regard among patients with type 1 diabetes. The aim of this study was to evaluate hematologic indices indicating PLT activity in children with type 1 diabetes. This was a case-control study which was conducted on 166 inpatients in 17 Shahrivar children hospital, Rasht, Iran during April 2016 to April 2017. Cases and controls were 83 children with type 1 diabetes mellitus and 83 children hospitalized for thorough assessment of short stature, respectively. Groups were matched for age and sex. Demographic characteristics and hematologic variables were assessed. The Shapiro-Wilk test was used to determine the normality of the distribution. Results for continuous and categorical variables were demonstrated as mean±SD and number and percent, respectively. Continuous variables without normal distribution were demonstrated as median (interquartile range). The χ/Fisher's exact test was used to compare categorical variables. The normal and non-normal distributed quantitative variables were respectively assessed by independent T-test or Mann-Whitney U test. P-value <0.05 noted statistical significance. The median (interquartile range) age of all children was 10 (6 to 13) years old. Thirty-five (42.2) of patients with diabetes and 35 (42.2) of control group were male individuals. There were positive correlation between age (r=0.370; P=0.001), hemoglobin (r=0.278; P=0.009), blood sugar (r=0.243; P=0.027), PLT distribution width (r=0.229; P=0.038), plateletcrit (PCT) (r=0.290; P=0.008), PLT to lymphocyte ratio (r=0.230; P=0.037) and glycosylated hemoglobin in children with diabetes. The cut-off point of PCT was 0.19 (sensitivity=87.8%, specificity=66.7%). Only increased PCT (>0.19) was related with poor metabolic control and can put the patients to the risk of future cardiovascular events. The authors recommend considering multiple PLT parameters, and not just one of them, and even designing a scoring system in terms of PLT parameters for type 1 diabetes mellitus management programs.

Cognitive Functioning in Schizophrenia, Methamphetamine-induced Psychotic Disorder, and Healthy People: A Comparative Study.

BACKGROUND: Methamphetamine-induced psychotic disorder (MIP) cannot be easily differentiated from other psychotic disorders. Some studies have reported that patients with MIP and schizophrenia have differences in their cognitive functioning. We hypothesized that their performance would be different on neuropsychological tests which assess executive functions and visual memory. MATERIALS AND METHODS: In a cross-sectional study, 30 patients with MIP, 31 patients with schizophrenia, and 31 healthy controls were assessed by Rey-Osterrieth complex figure (ROCF) test and visual search and attention test (VSAT). One-way analysis of variance was performed to compare the mean scores of tests. Tukey's HSD test was used for post hoc analysis. RESULTS: Three groups had significant differences according to ROCF test (F = 15.76, P < 0.0001), VSAT (F = 39.78, P < 0.0001), left VSAT (F = 37.96, P < 0.0001), right VSAT (F = 40.40, P < 0.0001), and the time of the test administration (F = 3.26, P = 0.04). The post hoc analysis showed that the mean score of ROCF test and VSAT (total, right, and left) was significantly higher in the control group than in the other two groups. The time of administering the test in the control group was significantly shorter than in the MIP group (P < 0.03) and nonsignificantly shorter than in the schizophrenia group (P = 0.54). The mean score of right side VSAT was significantly higher in the MIP group than in the schizophrenia group. CONCLUSION: ROCF could not differentiate MIP from schizophrenia. The better performance of patients with MIP on right side VSAT that is reported in this and in the previous study needs to be reevaluated in more controlled studies.

Do Adult Attention Deficit Hyperactivity Disorder Quality-Of-Life (AAQoL) scale and the SF-36 scale measure the same construct of health-related quality of life?

It has never been investigated whether the assessment tools of Adult Attention Deficit Hyperactivity Disorder Quality-of-Life (AAQoL) scale and the SF-36 measure the same construct. The participants were 101 parents of children with ADHD and 243 parents of school children. The parents completed both the Persian version of the AAQoL and the SF-36 questionnaires. The present study revealed that the Persian version of both AAQoL and SF-36 for the assessment of HRQoL in parents of children with ADHD has convergent and discriminant validity and internal consistency. Multitrait-multimethod correlation matrix showed that the domains of two questionnaires were moderately correlated. Current results support that AAQoL and SF-36 in parents of children with ADHD measure the same HRQoL constructs. Hence, for assessing the HRQoL of parents of children with ADHD, one of the two questionnaires can be used regard to the objective of study. The Persian version of the AAQoL loaded on four domains which were in line with the original version. HRQoL of parents of children with ADHD is markedly less than the community sample of children.