Clinical Manifestations and Molecular Identification of Giardia duodenalis in Pediatric and Adolescent Cancer Patients in Southwestern Iran.

This study aimed to investigate the clinical and molecular characteristics of Giardia duodenalis (G. duodenalis) infection and identify potential risk factors in children and teenagers with malignancies in Shiraz, southwestern Iran. A total of 200 fresh fecal samples were collected from children and adolescents suffering from 32 different cancer types at Amir, Nemazee, and Saadi hospitals affiliated with Shiraz University of Medical Sciences between October 2021 and May 2022. Direct microscopy using saline and iodine wet mount was conducted, and all fecal samples were rechecked by SSU-PCR. Subsequently, a specific fragment of the tpi gene was amplified on all samples for prevalence, sequencing, and assemblage identification. Our study found a 4% (8/200) prevalence of G. duodenalis using microscopy and PCR. The molecular findings were consistent with the microscopic results. All eight positive samples with SSU-rRNA gene were also detected as positive with tpi gene and were correctly sequenced. Among the examined cancer patients, two assemblages were identified: A [sub-assemblage AI (2/8, 25%) and sub-assemblage AII (3/8, 37.5%)] and B [sub-assemblage BIV (3/8, 37.5%)]. Notably, patients were more vulnerable to G. duodenalis infection after receiving at least 8 treatment episodes (p < 0.05) and displaying gastrointestinal symptoms (p > 0.05). The demographic characteristics of cancer patients with G. duodenalis infection and the statistical conclusions were separately detailed. The small sample size and low prevalence rate in this study hindered precise epidemiological conclusions. Nonetheless, the results suggest that G. duodenalis infection among cancer patients in Shiraz city originates from humans, without any specific animal groups (C-H) involved.

Integration of experimental study and neural network modeling for estimating iron recovery in Davis tube tests.

Magnetic separation is a common procedure for the enrichment of magnetic iron ores. Davis tube (DT) test is a standard laboratory technique used to determine the optimum magnetic recovery of iron ore using wet low-intensity magnetic separators. However, the DT test is time-consuming and labour-intensive. In this study, based on the results of DT-tests, generalized regression (GRNN) and radial basis function (RBF) neural networks were developed to predict iron recovery through the Fe and FeO content of the feed. First, the DT tests were performed on 613 iron ore samples with varying Fe and FeO content. Then, neural networks were used to model the iron recovery from the DT test, using the Fe and FeO content of the feed as input data. The modeling results showed that GRNN is a better model for predicting iron recovery. The main statistical metrics indicated that GRNN has AAPRE, RMSE, and R2 values of 3.929%, 2.804, and 0.976 respectively for a total of 613 data points. Moreover, sensitivity analysis demonstrated that iron recovery is directly influenced by both Fe and FeO contents, with FeO content having a more pronounced effect. Finally, Leverage analysis showed that GRNN is highly reliable for predicting iron recovery, with only 2.77% of data points flagged as suspicious based on outlier estimation.

Revolutionizing medicine: Molecularly imprinted polymers as precision tools in cancer diagnosis and antibiotic detection.

Molecularly imprinted polymers (MIPs) are pivotal in medicine, mimicking biological receptors with enhanced specificity and affinity. Comprising templates, functional monomers, and cross-linkers, MIPs form stable three-dimensional polymer networks. Synthetic templates like glycan and aptamers improve efficiency, guiding the molecular imprinting process. Cross-linking determines MIPs' morphology and mechanical stability, with printable hydrogels offering biocompatibility and customizable properties, mimicking native extracellular matrix (ECM) microenvironments. Their versatility finds applications in tissue engineering, soft robotics, regenerative medicine, and wastewater treatment. In cancer research, MIPs excel in both detection and therapy. MIP-based detection systems exhibit superior sensitivity and selectivity for cancer biomarkers. They target nucleic acids, proteins, and exosomes, providing stability, sensitivity, and adaptability. In therapy, MIPs offer solutions to challenges like multidrug resistance, excelling in drug delivery, photodynamic therapy, photothermal therapy, and biological activity regulation. In microbiology, MIPs serve as adsorbents in solid-phase extraction (SPE), efficiently separating and enriching antibiotics during sample preparation. They contribute to bacterial identification, selectively capturing specific strains or species. MIPs aid in detecting antibiotic residues using fluorescent nanostructures and developing sensors for sulfadiazine detection in food samples. In summary, MIPs play a pivotal role in advancing medical technologies with enhanced sensitivity, selectivity, and versatility. Applications range from biomarker detection to innovative cancer therapies, making MIPs indispensable for the accurate determination and monitoring of diverse biological and environmental samples.

Molecular epidemiology and multilocus genotyping of Giardia duodenalis in individuals attending major public hospitals in Shiraz, southwestern Iran: A public health concern.

Giardia duodenalis is one of the most common causes of waterborne disease worldwide, and is often associated with outbreaks of diarrhea in areas with poor sanitation and hygiene. This study aimed to assess the prevalence and genetic diversity of G. duodenalis assemblages in individuals attending major public hospitals in Shiraz, southwestern Iran. From August 2022 to May 2023, a total of 614 stool samples from individuals were collected and initially examined for G. duodenalis cysts using parasitological techniques, sucrose flotation, and microscopy. Microscopy-positive samples were validated by SSU-PCR amplification of the parasite DNA. A multilocus genotyping (MLG) scheme, which focused on the triose phosphate isomerase (tpi) and the glutamate dehydrogenase (gdh) genes, was employed for genotyping purposes. G. duodenalis cysts were found in 7.5% (46/614) and 8.5% (52/614) of samples through microscopy and SSU-PCR, respectively. Successful amplification and sequencing results were obtained for 77.3% (17/22) and 45.5% (10/22) of the infected samples at the tpi and gdh loci, respectively. MLG data for the two loci were available for only five samples. Out of the 22 samples genotyped at any loci, 54.5% (12/22) were identified as assemblage A, while 45.5% (10/22) were identified as assemblage B. AII was the most predominant sub-assemblage identified [54.5% (12/22)], followed by BIII [27% (6/22)], discordant BIII/BIV [13.6% (3/22)], and BIV [4.5% (1/22)]. In the present study, no assemblages suited for non-human animal hosts (e.g., C-F) were detected. This suggests that the transmission of human giardiasis in Shiraz is primarily anthroponotic. Further molecular-based analyses are necessary to confirm and expand upon these findings. These analyses will also help determine the presence and public health importance of the parasite in environmental samples, such as drinking water.

Development of New PCR Protocols to Detect Genetic Diversity in the Metronidazole Metabolism Genes in Susceptible and Refractory Clinical Samples of Giardia duodenalis.

PURPOSE: Investigating the genetic variation in thioredoxin reductase (TrxR) and nitroreductase (NR) genes in both treatment-resistant and -sensitive Giardia duodenalis isolates can provide valuable information in identifying potential markers of resistance to metronidazole. The rapid increase in metronidazole treatment failures suggests the presence of genetic resistance mechanisms. By analyzing these genes, researchers can gain insights into the efficacy of metronidazole against G. duodenalis and potentially develop alternative treatment strategies. In this regard, four G. duodenalis isolates (two clinically sensitive and two clinically resistant to metronidazole) were collected from various hospitals of Shiraz, southwestern Iran. METHODS: Parasitological methods including sucrose flotation and microscopy were employed for the primary confirmation of G. duodenalis cysts in stool samples. Microscopy-positive samples were approved by SSU-PCR amplification of the parasite DNA. All four positive G. duodenalis specimens at SSU-PCR were afterward analyzed utilizing designed primers based on important metronidazole metabolism genes including TrxR, NR1, and NR2. RESULTS: Unlike TrxR gene, the results of NR1 and NR2 genes showed that there are non-synonymous variations between sequences of treatment-sensitive and -resistant samples compared to reference sequences. Furthermore, the outcomes of molecular docking revealed that there is an interaction between the protein sequence and spatial shape of treatment-resistant samples and metronidazole in the position of serine amino acid based on the NR1 gene. CONCLUSION: This issue can be one of the possible factors involved in the resistance of Giardia parasites to metronidazole. To reach more accurate results, a large sample size along with simulation and advanced molecular dynamics investigations are needed.

Exploring an Electrochemical Route for Water-Enhanced Oxygenation Reactions Utilizing Nickel Molecular Structures: A Case Study.

Recently, Ni molecular catalysis has been extensively applied in oxygenation reactions. This work is underpinned by the characterization techniques and the discovered instability of the Ni-bipyridine/phenanthroline system, which results in Ni (hydr)oxide production under oxidative conditions. The practical applications of this mechanism by employing a prepared Ni (hydr)oxide-based electrode specifically in the oxygenation of sulfides, achieving noteworthy yields in contrast to noncatalyst control experiments, are explored. Thus, a Ni (hydr)oxide-based material is proposed as a candidate for the true catalyst for sulfide oxidation in the presence of the Ni-bipyridine/phenanthroline system. The findings of this study are expected to stimulate discussion and encourage new viewpoints within the chemical community regarding the potential applications and mechanisms of molecular catalysts in oxidation reactions.

Modeling crude oil pyrolysis process using advanced white-box and black-box machine learning techniques.

Accurate prediction of fuel deposition during crude oil pyrolysis is pivotal for sustaining the combustion front and ensuring the effectiveness of in-situ combustion enhanced oil recovery (ISC EOR). Employing 2071 experimental TGA datasets from 13 diverse crude oil samples extracted from the literature, this study sought to precisely model crude oil pyrolysis. A suite of robust machine learning techniques, encompassing three black-box approaches (Categorical Gradient Boosting-CatBoost, Gaussian Process Regression-GPR, Extreme Gradient Boosting-XGBoost), and a white-box approach (Genetic Programming-GP), was employed to estimate crude oil residue at varying temperature intervals during TGA runs. Notably, the XGBoost model emerged as the most accurate, boasting a mean absolute percentage error (MAPE) of 0.7796% and a determination coefficient (R2) of 0.9999. Subsequently, the GPR, CatBoost, and GP models demonstrated commendable performance. The GP model, while displaying slightly higher error in comparison to the black-box models, yielded acceptable results and proved suitable for swift estimation of crude oil residue during pyrolysis. Furthermore, a sensitivity analysis was conducted to reveal the varying influence of input parameters on residual crude oil during pyrolysis. Among the inputs, temperature and asphaltenes were identified as the most influential factors in the crude oil pyrolysis process. Higher temperatures and oil °API gravity were associated with a negative impact, leading to a decrease in fuel deposition. On the other hand, increased values of asphaltenes, resins, and heating rates showed a positive impact, resulting in an increase in fuel deposition. These findings underscore the importance of precise modeling for fuel deposition during crude oil pyrolysis, offering insights that can significantly benefit ISC EOR practices.

Experimental measurement and modeling of asphaltene adsorption onto iron oxide and lime nanoparticles in the presence and absence of water.

Asphaltene precipitation and its adsorption on different surfaces are challenging topics in the upstream and downstream of the oil industries and the environment. In this research, the phenomenon of asphaltenes adsorption in the presence and absence of water on the surface of magnetite, hematite, calcite, and dolomite nanoparticles (NPs) was investigated. Five asphaltenes of different origins, four NPs as adsorbents and Persian Gulf water were used for three-phase (asphaltene/toluene solution + NPs + water) experiments. Characterization of asphaltenes and NPs was performed using Fourier transform infrared spectroscopic (FTIR), dynamic light scattering (DLS), elemental analysis, and field emission scanning electron microscopy (FESEM). Adsorption experiments were performed in two- (asphaltene/toluene solution + NPs) and three-phase systems. The results showed that the most effective parameters for asphaltene adsorption onto these NPs are the asphaltene composition, namely nitrogen content, and the aromaticity of asphaltenes. The significant effects of these parameters were also confirmed by the relevancy factor function as a sensitivity analysis. In the competition of asphaltene adsorption capacity by NPs, iron oxide NPs had the highest adsorption (Magnetite NPs > Hematite NPs > Calcite NPs > Dolomite NPs). From the results of the experiments in the presence of water phase, it could be pointed out that the asphaltenes adsorption onto the NPs was accompanied by a decrease compared to the experiments in the absence of water. The modeling also showed that physical adsorption has a significant contribution to the asphaltenes adsorption on the surface of iron oxides and lime NPs. The results of this research can assist in a better understanding of the asphaltene adsorption phenomenon and the role of iron oxide and lime NPs in solving this problem.

Evaluating the Effect of Quran Memorizing on the Event-related Potential Features by Using Graphs Created from the Neural Gas Networks.

Background: Quran memorizing causes a state of trance, which its result is the changes in the amplitude and time of P300 and N200 components in the event related potential (ERP) signal. Nevertheless, a limited number of studies that have examined the effects of Quran memorizing on brain signals to enhance relaxation and attention, and improve the lives of patients with autism and stroke, generally have not presented any analysis based on comparing structural differences relevant to features extracted from ERP signal obtained from the two groups of Quran memorizer and nonmemorizer by using the hybrid of graph theory and competitive networks. Methods: In this study, we investigated structural differences relevant to the graph obtained from the weight of neural gas (NG) and growing NG (GNG) networks trained by features extracted from the ERP signal recorded from two groups during the PRM test. In this analysis, we actually estimated the ERP signal by averaging the brain background data in the recovery phase. Then, we extracted six features related to the power and the complexity of these signals and selected optimal channels in each of the features by using the t test analysis. Then, these features extracted from the optimal channels are applied for developing the NG and GNG networks. Finally, we evaluated different parameters calculated from graphs, in which their connection matrix was obtained from the weight matrix of the networks. Results: The outcomes of this analysis show that increasing the power of low frequency components and the power ratio of low frequency components to high frequency components in the memorizers, which represents patience, concentration, and relaxation, is more than that of the nonmemorizers. These outcomes also show that the optimal channels in different features, which were often in frontal, peritoneal, and occipital regions, had a significant difference (P < 0.05). It is remarkable that two parameters of the graphs established based on two competitive networks, i.e. average path length and the average of the weights in the memorizers, were larger than the nonmemorizers, which means more data scattering in this group. Conclusion: This condition in the mentioned graphs suggests that the Quran memorizing causes a significant change in ERP signals, so that its features have usually more scattering.

Modeling solubility of CO2-N2 gas mixtures in aqueous electrolyte systems using artificial intelligence techniques and equations of state.

Determining the solubility of non-hydrocarbon gases such as carbon dioxide (CO2) and nitrogen (N2) in water and brine is one of the most controversial challenges in the oil and chemical industries. Although many researches have been conducted on solubility of gases in brine and water, very few researches investigated the solubility of power plant flue gases (CO2-N2 mixtures) in aqueous solutions. In this study, using six intelligent models, including Random Forest, Decision Tree (DT), Gradient Boosting-Decision Tree (GB-DT), Adaptive Boosting-Decision Tree (AdaBoost-DT), Adaptive Boosting-Support Vector Regression (AdaBoost-SVR), and Gradient Boosting-Support Vector Regression (GB-SVR), the solubility of CO2-N2 mixtures in water and brine solutions was predicted, and the results were compared with four equations of state (EOSs), including Peng-Robinson (PR), Soave-Redlich-Kwong (SRK), Valderrama-Patel-Teja (VPT), and Perturbed-Chain Statistical Associating Fluid Theory (PC-SAFT). The results indicate that the Random Forest model with an average absolute percent relative error (AAPRE) value of 2.8% has the best predictions. The GB-SVR and DT models also have good precision with AAPRE values of 6.43% and 7.41%, respectively. For solubility of CO2 present in gaseous mixtures in aqueous systems, the PC-SAFT model, and for solubility of N2, the VPT EOS had the best results among the EOSs. Also, the sensitivity analysis of input parameters showed that increasing the mole percent of CO2 in gaseous phase, temperature, pressure, and decreasing the ionic strength increase the solubility of CO2-N2 mixture in water and brine solutions. Another significant issue is that increasing the salinity of brine also has a subtractive effect on the solubility of CO2-N2 mixture. Finally, the Leverage method proved that the actual data are of excellent quality and the Random Forest approach is quite reliable for determining the solubility of the CO2-N2 gas mixtures in aqueous systems.

Radioiodine-Avid Paravertebral Bronchogenic Cyst Mimicking Neurofibroma: A Diagnostic Pitfall.

ABSTRACT: The whole-body postablation scan of a 38-year-old man, with history of papillary thyroid cancer, revealed a focus of intense 131I accumulation about the lower thoracic vertebrae. SPECT/CT revealing a soft tissue lesion adjacent the T9 to T10 vertebrae, which was reported as neurofibroma on the subsequently performed MRI. However, the lesion was confirmed as a bronchogenic cyst on biopsy. Respecting that unlike neurofibroma, immunohistochemistry studies have confirmed Na-I symporter expression in bronchogenic epithelium; our case highlights that, although rare, paravertebral bronchogenic cysts should be considered in differential diagnosis of radioiodine-avid paravertebral lesions.

Prevalence, comorbidity, and predictors of obsessive-compulsive disorder in Iranian children and adolescents.

BACKGROUND AND OBJECTIVES: Obsessive-compulsive disorder (OCD) is a disease that causes personal distress or social dysfunction, especially in childhood. The present study aimed to provide the prevalence, comorbidity, and predictors of OCD among children and adolescents. METHODS: This was a cross-sectional national project conducted on 29,858 children and adolescents using the multi-stage cluster random sampling in Iran. There were both genders in each cluster and three age groups (6-9, 10-14, and 15-18 years) within each cluster. The tools used in this research included a demographic questionnaire and K-SADS-PL. To analyze the data, logistic regression and cross-tab tests were used. RESULTS: According to the results, the prevalence of OCD in children and adolescents was 3.1 in boys and 3.8 in girls. Also, gender, age, place of residence, and history of psychiatric hospitalization of parents could predict OCD. OCD had comorbidity with behavioral disorders (OR = 0.60, 95%CI: 0.39-0.92), elimination disorders (OR = 0.50, 95%CI: 0.30-0.83), mood disorders (OR = 2.92, 95%CI: 1.43-5.94), and smoking and alcohol disorders (OR = 4.33, 95%CI: 1.28-14.63). CONCLUSION: In the development of the obsessive-compulsive disorder, other disorders and symptoms also environmental factors can play a role and are important. Based on our findings, given the prevalence rate of OCD was higher in the age groups of 10-14 and 15-18 years, are one of the most important stages of development for the prevention and treatment of mental disorders, especially OCD, clinical specialists can design appropriate clinical trials or modify existing interventions based on the results of such research.

The effects of cognitive-behavioral group therapy for reducing symptoms of internet addiction disorder and promoting quality of life and mental health

Abstract Introduction Internet addiction disorder has reportedly become an important cause of health and social problems. The aim of this study was to investigate the effectiveness of cognitive-behavioral group therapy for internet addiction symptoms, quality of life, and mental health of students with internet addiction. Methods This was a quasi-experimental study with pretest-posttest measures and a control group. The statistical population of the study consisted of all students at Tehran universities in the academic year of 2018-19. The target group was selected through an internet addiction test and a clinical interview using a targeted sampling method and was divided into experimental and control groups by randomization. The experimental group participated in fifteen 90-minute cognitive-behavioral group therapy sessions. Before, immediately after, and 3 months after the treatment, the internet addiction symptoms of both groups were evaluated to assess mental health with the IAT, quality of life (QOL), and SCL-90-R questionnaires. Data were analyzed with ANCOVA analysis using SPSS Statistics 20 software. Results After treatment, cognitive-behavioral therapy groups showed reductions in internet addiction scores (p < 0.05). Results showed that the cognitive-behavioral group therapy was effective for improving quality of life (p < 0.05) and mental illnesses (p < 0.05) in students with internet addiction. Conclusions Cognitive-behavioral group therapy can enhance awareness and mental health of students with internet addiction. Therefore, this intervention can be used as a beneficial treatment to reduce internet addiction symptoms and improve the condition of people with behavioral addictions such as internet dependency.

Electrochemical alcohols oxidation mediated by N-hydroxyphthalimide on nickel foam surface.

Alcohol to aldehyde conversion is a critical reaction in the industry. Herein, a new electrochemical method is introduced that converts 1 mmol of alcohols to aldehydes and ketones in the presence of N-hydroxyphthalimide (NHPI, 20 mol%) as a mediator; this conversion is achieved after 8.5 h at room temperature using a piece of Ni foam (1.0 cm2) and without adding an extra-base or a need for high temperature. Using this method, 10 mmol (1.08 g) of benzyl alcohol was also successfully oxidized to benzaldehyde (91%) without any by-products. This method was also used to oxidize other alcohols with high yield and selectivity. In the absence of a mediator, the surface of the nickel foam provided oxidation products at the lower yield. After the reaction was complete, nickel foam (anode) was characterized by a combination of scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX), X-ray diffraction (XRD), X-ray absorption spectroscopy (XAS), X-ray photoelectron spectroscopy (XPS), and spectroelectrochemistry, which pointed to the formation of nickel oxide on the surface of the electrode. On the other hand, using other electrodes such as Pt, Cu, Fe, and graphite resulted in a low yield for the alcohol to aldehyde conversion.

Lifetime prevalence, sociodemographic predictors, and comorbidities of oppositional defiant disorder: the National Epidemiology of Iranian Child and Adolescent Psychiatric disorders (IRCAP)

Objective: This was the first national epidemiological study on oppositional defiant disorder (ODD) in Iran, which provided new information about the prevalence, comorbidities, and sociodemographic predictors of ODD. Methods: Data from a face-to-face household survey of 30,532 children and adolescents aged 6-18 years were collected from across all 31 provinces of Iran using a multistage cluster sampling design. The Persian version of the Kiddie Schedule for Affective Disorders and Schizophrenia for School-Age Children - Present and Lifetime Version (K-SADS-PL) was used in this study. Results: The lifetime prevalence of ODD was found to be 3.9%. ODD was significantly more common in boys than girls and appeared in late adolescence more frequently than in childhood. A lower prevalence of ODD was found among participants who lived in rural areas. ODD is highly likely to co-occur with attention deficit hyperactivity disorder, separation anxiety disorder, generalized anxiety disorder, and depressive disorders. Conclusions: The findings of this national population-based study confirm and extend previous findings on the prevalence, comorbidities, and sociodemographic predictors of ODD.

Synthesizing efficacious genistein in conjugation with superparamagnetic Fe3O4 decorated with bio-compatible carboxymethylated chitosan against acute leukemia lymphoma.

BACKGROUND: Genistein (C15H10O5) is a soy isoflavone with anti-cancer properties such as inhibition of cell growth, proliferation and tumor invasion, but effective dosage against hematopoietic malignant cells was not in non-toxic range. This property cause to impede its usage as chemotherapeutic agent. Therefore, this hypothesis raised that synthesizing biocompatible nanoparticle could assist to prevail this struggle. METHODS: Genistein covalently attached on Fe3O4 nanoparticles decorated with carboxymethylated chitosan to fabricate Fe3O4-CMC-genistein in alkaline circumstance. This obtained nanoparticles were evaluated by TEM, DLS, FTIR, XRD and VSM and its anti-cancer effect by growth rate and MTT assays as well as flow cytometer on ALL cancer cell lines. RESULTS: Different evaluations indicated that the drug delivery vehicle had a mean diameter size around 12ƞm with well bounded components. This system presented high degree of magnetization and superparamagnetic properties as well as good water solubility. In comparison with pure genistein, significant growth inhibition on hematopoietic cancer cells in lower dose of genistein nano-conjugated onto Fe3O4-CMC. It increased long lasting effect of genistein in cancer cells also. CONCLUSION: This delivery system for genistein could be remarkably promised and futuristic as biocompatible chemotherapeutic agent against hematopoietic malignant cells.

Prevalence, comorbidities, and sociodemographic predictors of conduct disorder: the national epidemiology of Iranian children and adolescents psychiatric disorders (IRCAP).

The aim was to evaluate the lifetime prevalence of conduct disorder according to sociodemographic characteristics, determine the sociodemographic predictors of conduct disorder, and estimate the rates of comorbidities of psychiatric disorders in children and adolescents with conduct disorder by age and gender. The National Epidemiology of Iranian Children and Adolescents Psychiatric Disorders was a cross-sectional, general population-based study on 30,532 children and adolescents aged 6-18 years from all provinces of Iran, which was done using multistage cluster sampling. Iranian citizens aged 6-18 years who resided at least 1 year in each province were included, and children and adolescents with severe physical illnesses that prevented them to participate in the study were excluded. The sample weighting adjustment was used, since we had randomly selected the equal number of 1000 participants of each province from the urban and rural areas. Trained psychologists conducted diagnostic interviews with the adolescents and the children's parents using the Persian version of the Kiddie Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version (K-SADS-PL). In this study, 54 children aged 6-9 years (0.58%, CI 0.47-0.77), 64 adolescents aged 10-14 years (0.57%, CI 0.47-0.77), and 117 adolescents aged 15-18 years (1.22%, CI 0.96-1.44) met the criteria of the lifetime conduct disorder. Conduct disorder was significantly more common in boys than in girls, and was significantly less prevalent among those participants whose fathers had no history of psychiatric hospitalization. Of the participants with conduct disorder, 83.4% met the criteria for at least one other psychiatric disorder. Conduct disorder had a high rate of comorbidity with oppositional defiant disorder (54.89%, CI 48.50-61.12), attention-deficit/hyperactivity disorder (32.34%, CI 26.68-38.56), tobacco use (20.43%, CI 15.77-26.04), and depressive disorders (18.30%, CI 13.88-23.74). Because of using the diagnostic instrument, we found a low total rate of prevalence for conduct disorder; however, higher rates of it were observed among boys and adolescents. Further studies are needed to explore the nature of comorbidities of conduct disorder and to consider them in a large clinical population.

Risperidone Combination Therapy With Propentofylline for Treatment of Irritability in Autism Spectrum Disorders: A Randomized, Double-Blind, Placebo-Controlled Clinical Trial.

OBJECTIVES: Propentofylline is a xanthine phosphodiesterase inhibitor and adenosine reuptake blocker with neuroprotective effects linked to anti-inflammatory and antiexcitatory properties. This is a double-blind, placebo-controlled trial investigating the potential beneficial effects of propentofylline, as an adjunctive treatment with risperidone, on the severity and behavioral abnormalities of autism spectrum disorder (ASD). METHODS: A total of 48 children with ASD were randomly allocated into 2 groups of risperidone (initiating at 0.5 mg/d) plus propentofylline (initiating at 300 mg/d) and risperidone plus placebo. The Aberrant Behavior Checklist-Community (ABC-C) and Childhood Autism Rating Scale (CARS) were used for the evaluation of ASD severity and behavioral disruptions at baseline, week 4, and week 10. Primary outcome measure of the study was ABC-C irritability subscale score, whereas CARS score along with other 4 subscales of ABC-C (lethargy/social withdrawal, stereotypic behavior, hyperactivity/noncompliance, and inappropriate speech subscales) were considered as secondary outcome measures. RESULTS: Results from the general linear model repeated measures analysis demonstrated significant time-treatment interaction on irritability subscale (F1.55 = 3.45; P = 0.048) and CARS (F1.41 = 4.08; P = 0.034) scores. Compared with the placebo group, children receiving propentofylline showed greater improvements in the CARS score (P = 0.037) from baseline to the study endpoint. Our results found no significant time-treatment effect on other subscales of ABC-C. Two trial groups were comparable based on the frequency of adverse effects. CONCLUSIONS: Our findings demonstrated that adjunctive treatment with propentofylline is effective in alleviating disease severity and improving irritability in ASD patients. However, larger studies with longer durations are required to confirm these results.

Epidemiology of Psychiatric Disorders in Children and Adolescents in Chaharmahal and Bakhtiari Province, Iran, 2017.

BACKGROUND: This study aimed to investigate the epidemiology of psychiatric disorders in children and adolescents in Chaharmahal and Bakhtiari Province of Iran. METHODS: This community-based cross-sectional study included 1038 children and adolescents aged 6-18 years from Chaharmahal and Bakhtiari province selected by the multistage cluster sampling method. Samples were interviewed using the Schedule for Affective Disorders and Schizophrenia for School-Age Children. Also, demographic data (gender, age, child education, parent education, and economic situation) were obtained. Binary logistic regression was used to analyze the data. RESULTS: A total of 16.1% of participants were diagnosed to have psychiatric disorders. Total psychiatric disorders were significantly more prevalent in boys than in girls (P=0.025). Unemployment of fathers was significantly related to increased prevalence of psychiatric disorders in children (P=0.016). Other demographic variables had no significant correlation with prevalence of psychiatric disorders in children. Anxiety disorders were highly comorbid with behavioral problems (16.4%). Behavioral disorders also had high comorbidity with elimination disorders (16.7%) and substance use disorders (10%). Enuresis was the most frequent psychiatric disorder (5.8%), followed by epilepsy (3.5%), tobacco use (3.4%), and attention deficit hyperactivity disorder (3%). Total anxiety disorders were the most prevalent group of psychiatric disorders in the sample (21.9%), followed by behavioral disorders (16.3%), elimination disorders (8.2%), and neurodevelopmental disorders (4.5%). CONCLUSION: Our findings suggest that psychiatric disorders affect a significant number of children and adolescents. Prevalence estimates and identification of sources of heterogeneity have important implications to service providers and modifications are needed in mental health services in the community.

Prevalence of self-reported trauma in a sample of Iranian children is low and unrelated to parents' education or current employment status

Objective: In Western countries, the prevalence of childhood trauma (CT) ranges from 15 to 25%. CT might be indirectly associated with lower parental socioeconomic status and educational attainments. The aims of this cross-sectional study were fourfold: to assess prevalence of CT in a large sample of Iranian children; to compare the Iranian prevalence rates with those of Western countries; to explore gender-specific patterns; and to explore possible socioeconomic predictors. Method: The sample comprised 608 children (mean age 11.49 years, 51.5% females). All completed the Farsi version of the Trauma Symptoms Checklist for Children. Additionally, parents reported on their current employment status and highest educational level. Results: Trauma symptoms were reported by 20 of 295 boys and 23 of 313 girls. The overall prevalence was 7.1%. Child-reported trauma symptoms were not associated with parents' socioeconomic status or highest educational level. Compared to prevalence findings from U.S. national surveys (ranging from 15-25% of children and adolescents), the prevalence among 11- and 12-year-olds in the present study was considerably lower. Conclusions: The overall prevalence of reported trauma symptoms among a large sample of Iranian children was unrelated to parents' socioeconomic status, and was lower than that reported in U.S. surveys.