Risk factors associated with underweight in children aged one to two years: a longitudinal study.

BACKGROUND: Underweight is a prevalent health issue in children. This study aimed to identify factors associated with underweight in children aged 1-2 years in Hamadan city. Unlike the studies conducted in this field, which are cross-sectional and do not provide information on the effect of age changes on underweight, our longitudinal approach provides insights into weight changes over time. On the other hand, this study focuses on the high-risk age group of 1 to 2 years, which has only been addressed in a few studies. METHODS: In this longitudinal study, 414 mothers with 1 to 2 year-old children referred to the health centers of Hamadan city, whose information is in the SIB system, a comprehensive electronic system, were examined to identify factors related to underweight. The response variable was weight-for-age criteria classified into three categories: underweight, normal weight, and overweight. A two-level longitudinal ordinal model was used to determine the factors associated with underweight. RESULTS: Of the children studied, 201 (48.6%) were girls and 213 (51.4%) were boys. Significant risk factors for underweight included low maternal education (AOR = 3.56, 95% CI: 1.10-11.47), maternal unemployment (AOR = 3.38, 95% CI: 1.05-10.91), maternal height (AOR = 0.85, 95% CI: 0.79-0.92), lack of health insurance (AOR = 2.85, 95% CI: 1.04-7.84), gestational age less than 24 years (AOR = 3.17, 95% CI: 16.28-0.97), child age 12-15 months (AOR = 2.27, 95% CI: 1.37-3.74), and child's birth weight (AOR = 0.63, 95% CI: 0.70-0.58). CONCLUSION: Based on the results of the present study, it seems that the possibility of being underweight among children is more related to the characteristics of mothers; therefore, taking care of mothers can control some of the weight loss of children.

Effectiveness of theory-based educational interventions of promoting oral health among elementary school students.

BACKGROUND: The aim of the present study was to determine the effect of oral health education programs on the oral health of primary school students. METHODS: In this randomized controlled trial study, 190 elementary fifth-grade female students were chosen using the multistage cluster sampling method. In this study, the Plaque Index (PI), Simplified Oral Hygiene Index (OHI-S), Community Periodontal Index (CPI), tooth brushing using fluoride toothpaste, dental flossing frequency and factors affecting them were determined according to social cognitive theory (SCT). Interventions were implemented using the play method and with the help of three pamphlets, five posters, a celebration of oral health, and the creation of a Telegram group. Data were analyzed using descriptive statistics indexes, t tests, paired sample t tests, chi-square tests, and Pearson correlation tests. RESULTS: The results showed that 3 months after the intervention, compared to before the intervention, the percentage of participants in the intervention group who brushed their teeth twice or more per day increased by 48.5%, and the percentage of participants who used dental floss at least once per day increased by 64.2%. The rate of gum bleeding decreased by 6.3%. The good OHI-S rate increased by 44.4%. Dental plaque decreased by 38.1%. CONCLUSION: The results demonstrated that a gamification design can be effective and useful in promoting the oral health of students. TRIAL REGISTRATION: registration timing: retrospective, registration date: 18/10/2022, registration number: IRCT20141128020129N2.

Circular RNAs in tuberculosis: From mechanism of action to potential diagnostic biomarker.

Tuberculosis (TB), caused by Mycobacterium tuberculosis (M. tuberculosis), continues to be a major global health concern. Understanding the molecular intricacies of TB pathogenesis is crucial for developing effective diagnostic and therapeutic approaches. Circular RNAs (circRNAs), a class of single-stranded RNA molecules characterized by covalently closed loops, have recently emerged as potential diagnostic biomarkers in various diseases. CircRNAs have been demonstrated to modulate the host's immunological responses against TB, specifically by reducing monocyte apoptosis, augmenting autophagy, and facilitating macrophage polarization. This review comprehensively explores the roles and mechanisms of circRNAs in TB pathogenesis. We also discuss the growing body of evidence supporting their utility as promising diagnostic biomarkers for TB. By bridging the gap between fundamental circRNA biology and TB diagnostics, this review offers insights into the exciting potential of circRNAs in combatting this infectious disease.

Impact of COVID-19 Disease Control Committee (CDCC) policies on prevention of the disease using Bayes network inference in west of Iran.

BACKGROUND: The start of the COVID-19 pandemic was an emergency situation that led each country to adopt specific regional strategies to control it. Given the spread of COVID-19 disease, it is crucial to evaluate which policy is more effective in reducing disease transmission. The purpose of this study was to determine the impact of policies made by COVID-19 Disease Control Committee (CDCC) to reduce the risk of the disease in Hamadan province. METHODS: In the observational study, the data were extracted from three sources in Hamadan, west of Iran; first, the session reports of CDCC; second, information on periodic evaluations conducted by the primary health care directory in Hamadan from April to August 2021 and third, expert panel opinion. Bayes network analysis was used to determine the effect of each policy on mortality rate by GeNIe software version 2.2. RESULTS: Among the policies adopted by CDCC in Hamadan, seven policies, i.e., vaccination, limiting gatherings, social distancing, wearing a mask, job closure, travel restriction, and personal hygiene had the most impact to prevent the spread of COVID-19, respectively. In this study, the prevalence of the disease was 17.64% with the implementation of these policies. Now, if all these policies are observed 30% more, the prevalence will decrease to 14.18%. CONCLUSION: This study showed that if the seven policies (i.e., vaccination, limiting gatherings, social distancing, wearing a mask, job closure, travel restriction, and personal hygiene) are followed simultaneously in the community, the risk of contracting the disease will be greatly reduced. Therefore, in the pandemic of infectious diseases, such policies can help prevent the spread of the disease.

Effects of Air Pollutant Exposure on Acute Myocardial Infarction.

BACKGROUND: Air pollution is a consequence of industrial development that is exacerbated as a result of population growth, and urbanisation. AIM: The goal of the study is to investigate the effects of air pollution on the number of cases of acute myocardial infarction (AMI) according to gender using the Zero-inflated Poisson Regression model in Hamadan, Iran. METHODS: The study used an ecological design, and data collected from March 2016 to September 2020 in Hamadan were included. The intended response was the number of cases of AMI recorded in the investigated period. The time lag of the pollutants was used to investigate the effect of air pollution on the number of AMIs. RESULTS: The number of AMI recorded for men and women was 1,195 and 553, respectively. The average age (±SD) for men and women was 64.60 (±12.27) and 70.98 (±11.79) years, respectively. According to the air quality index in Hamadan, the values of particulate matter < 2.5 µm (PM2.5), SO2, O3, and CO were below moderate levels. Also, according to NO2 and particulate matter between 25 µm-10 µm (PM10), the air quality index of Hamadan was in the very unhealthy mode just for 2 and 3 days, respectively. The O3 and NO2 are significant positive effects on AMI among men. But, PM2.5, PM10, and SO2 are negative impacts on hospitalisation in men due to AMI. For women, PM2.5 and O3 had positive effects on AMI. But, NO2 and PM10 had a significant negative impact on hospitalisation in women during different time lags. CONCLUSIONS: The results of the study showed that if the analyses are based on gender, the responses to pollutants are different and hence the stratified analysis is important.

Zero-augmented beta-prime model for multilevel semi-continuous data: a Bayesian inference.

Semi-continuous data characterized by an excessive proportion of zeros and right-skewed continuous positive values appear frequently in medical research. One example would be the pharmaceutical expenditure (PE) data for which a substantial proportion of subjects investigated may report zero. Two-part mixed-effects models have been developed to analyse clustered measures of semi-continuous data from multilevel studies. In this study, we propose a new flexible two-part mixed-effects model with skew distributions for nested semi-continuous cost data under the framework of a Bayesian approach. The proposed model specification consists of two mixed-effects models linked by the correlated random effects: Part I) a model on the occurrence of positive values using a generalized logistic mixed model; and Part II) a model on the magnitude of positive values using a linear mixed model where the model errors follow skew distributions including beta-prime (BP). The proposed method is illustrated with pharmaceutical expenditure data from a multilevel observational study and the analytic results are reported by comparing potential models under different skew distributions. Simulation studies are conducted to assess the performance of the proposed model. The DIC3, LPML, WAIC, and LOO as the Bayesian model selection criteria and measures of divergence used to compare the models.

Interpretable generalized neural additive models for mortality prediction of COVID-19 hospitalized patients in Hamadan, Iran.

BACKGROUND: The high number of COVID-19 deaths is a serious threat to the world. Demographic and clinical biomarkers are significantly associated with the mortality risk of this disease. This study aimed to implement Generalized Neural Additive Model (GNAM) as an interpretable machine learning method to predict the COVID-19 mortality of patients. METHODS: This cohort study included 2181 COVID-19 patients admitted from February 2020 to July 2021 in Sina and Besat hospitals in Hamadan, west of Iran. A total of 22 baseline features including patients' demographic information and clinical biomarkers were collected. Four strategies including removing missing values, mean, K-Nearest Neighbor (KNN), and Multivariate Imputation by Chained Equations (MICE) imputation methods were used to deal with missing data. Firstly, the important features for predicting binary outcome (1: death, 0: recovery) were selected using the Random Forest (RF) method. Also, synthetic minority over-sampling technique (SMOTE) method was used for handling imbalanced data. Next, considering the selected features, the predictive performance of GNAM for predicting mortality outcome was compared with logistic regression, RF, generalized additive model (GAMs), gradient boosting decision tree (GBDT), and deep neural networks (DNNs) classification models. Each model trained on fifty different subsets of a train-test dataset to ensure a model performance. The average accuracy, F1-score and area under the curve (AUC) evaluation indices were used for comparison of the predictive performance of the models. RESULTS: Out of the 2181 COVID-19 patients, 624 died during hospitalization and 1557 recovered. The missing rate was 3 percent for each patient. The mean age of dead patients (71.17 ± 14.44 years) was statistically significant higher than recovered patients (58.25 ± 16.52 years). Based on RF, 10 features with the highest relative importance were selected as the best influential features; including blood urea nitrogen (BUN), lymphocytes (Lym), age, blood sugar (BS), serum glutamic-oxaloacetic transaminase (SGOT), monocytes (Mono), blood creatinine (CR), neutrophils (NUT), alkaline phosphatase (ALP) and hematocrit (HCT). The results of predictive performance comparisons showed GNAM with the mean accuracy, F1-score, and mean AUC in the test dataset of 0.847, 0.691, and 0.774, respectively, had the best performance. The smooth function graphs learned from the GNAM were descending for the Lym and ascending for the other important features. CONCLUSIONS: Interpretable GNAM can perform well in predicting the mortality of COVID-19 patients. Therefore, the use of such a reliable model can help physicians to prioritize some important demographic and clinical biomarkers by identifying the effective features and the type of predictive trend in disease progression.

Combination of doxycycline, streptomycin and hydroxychloroquine for short-course treatment of brucellosis: a single-blind randomized clinical trial.

PURPOSE: Previous studies have shown the effect of hydroxychloroquine in the treatment and prevention of recurrence of brucellosis. The aim of this study was to compare the effect of 4 and 6 week regimen containing hydroxychloroquine in the treatment of brucellosis. METHODS: In a single-blind randomized clinical trial, 92 patients with acute brucellosis were randomly divided in two treatment groups who received a triple drug regimen including doxycycline, streptomycin, and hydroxychloroquine (DSH] for 4 and 6 weeks. All patients were followed up for up to 6 months. Response to treatment, relapse rate, complications, and results of serological tests were compared in both groups. Data were analyzed by SPSS software version 16. RESULTS: Of the 92 patients studied, 46 received a 4 week course and 46 received a 6 week course of therapy. There were no significant differences between the two groups in terms of age and sex distribution. The response rate, treatment failure, and relapse in the 4 week treatment group were 82.6%, 17.3%, and 7.89%, respectively, and in the 6 week treatment group were 91.3%, 8.7%, and 9.52%. The frequency of negative 2ME test at 24 weeks after treatment was 11.1% in the 4 week group and 8.7% in the 6 week group. No significant differences were found between the two groups in terms of response to treatment, treatment failure, relapse, and negative 2ME test. CONCLUSION: The 4 week and 6 week courses of the combination of DSH are equally effective in treating brucellosis. We recommend further studies to support the use of the short-course 4 week regimen for the treatment of uncomplicated brucellosis.

Which patients bring the most costs for hospital? A study on the cost determinants among COVID-19 patients in Iran.

BACKGROUND: Accurate information on the cost determinants in the COVID-19 patients could provide policymakers a valuable planning tool for dealing with the future COVID-19 crises especially in the health systems with limited resources. OBJECTIVES: This study aimed to determine the factors affecting direct medical cost of COVID-19 patients in Hamadan, the west of Iran. METHODS: This study considered 909 confirmed COVID-19 patients with positive real-time reverse-transcriptase polymerase-chain-reaction test which were hospitalized from 1 March to 31 January 2021 in Farshchian (Sina) hospital in Hamadan, Iran. A checklist was utilized to assess the relationship of demographic characteristics, clinical presentation, medical laboratory findings and the length of hospitalization to the direct hospitalization costs in two groups of patients (patients with hospitalization ≤ 9 days and > 9 days). Statistical analysis was performed using chi-square, median test and multivariable quantile regression model at 0.05 significance levels with Stata 14 software program. RESULTS: The median cost of hospitalization in patients was totally 134.48 dollars (Range: 19.19-2397.54) and respectively 95.87 (Range: 19.19-856.63) and 507.30 dollars (Range: 68.94-2397.54) in patients with hospitalization ≤ 9 days and > 9 days. The adjusted estimates presented that in patients with 9 or less hospitalization days history of cardiovascular disease, wheezing pulmonary lung, SPO2 lower than 90%, positive CRP, LDH higher than 942 U/L, NA lower than 136 mEq/L, lymphosite lower than 20% and patients with ICU experience had significantly positive relationship to the median of cost. Moreover, in patients with more than 9 hospitalization days, history of cardiovascular disease and ICU experience was statistically positive association and age older than 60 years and WBC lower than 4.5 mg/dL had statistically negative relationship to the median of hospitalization cost. CONCLUSION: As the length of hospital stay, which can be associated with the severity of the disease, increases, health systems become more vulnerable in terms of resource utilization, which in turn can challenge their responsiveness and readiness to meet the specialized treatment needs of individuals.

Application of machine learning models based on decision trees in classifying the factors affecting mortality of COVID-19 patients in Hamadan, Iran.

BACKGROUND: Due to the high mortality of COVID-19 patients, the use of a high-precision classification model of patient's mortality that is also interpretable, could help reduce mortality and take appropriate action urgently. In this study, the random forest method was used to select the effective features in COVID-19 mortality and the classification was performed using logistic model tree (LMT), classification and regression tree (CART), C4.5, and C5.0 tree based on important features. METHODS: In this retrospective study, the data of 2470 COVID-19 patients admitted to hospitals in Hamadan, west Iran, were used, of which 75.02% recovered and 24.98% died. To classify, at first among the 25 demographic, clinical, and laboratory findings, features with a relative importance more than 6% were selected by random forest. Then LMT, C4.5, C5.0, and CART trees were developed and the accuracy of classification performance was evaluated with recall, accuracy, and F1-score criteria for training, test, and total datasets. At last, the best tree was developed and the receiver operating characteristic curve and area under the curve (AUC) value were reported. RESULTS: The results of this study showed that among demographic and clinical features gender and age, and among laboratory findings blood urea nitrogen, partial thromboplastin time, serum glutamic-oxaloacetic transaminase, and erythrocyte sedimentation rate had more than 6% relative importance. Developing the trees using the above features revealed that the CART with the values of F1-score, Accuracy, and Recall, 0.8681, 0.7824, and 0.955, respectively, for the test dataset and 0.8667, 0.7834, and 0.9385, respectively, for the total dataset had the best performance. The AUC value obtained for the CART was 79.5%. CONCLUSIONS: Finding a highly accurate and qualified model for interpreting the classification of a response that is considered clinically consequential is critical at all stages, including treatment and immediate decision making. In this study, the CART with its high accuracy for diagnosing and classifying mortality of COVID-19 patients as well as prioritizing important demographic, clinical, and laboratory findings in an interpretable format, risk factors for prognosis of COVID-19 patients mortality identify and enable immediate and appropriate decisions for health professionals and physicians.

Predictors of oral health promotion behaviors among elementary school children: Examination of an extended social cognitive theory.

BACKGROUND: Brushing teeth with fluoride-containing toothpaste and flossing are considered as effective solutions for preventing dental caries and periodontal diseases. AIM: The aim of this study was to use the promoted social cognitive theory (SCT) to investigate factors influencing adherence to oral hygiene behaviors by elementary school children. DESIGN: In this cross-sectional study, 988 elementary school children were chosen using the multistage cluster sampling method. Data were collected using the SCT scale, and its validity and reliability were confirmed. Theoretical models were examined using the structural equation modeling. RESULTS: The SCT explained 50% of the variance in brushing with fluoridated toothpaste and 55.6% of the variance in flossing behaviors. The total effect of family environment (ß = .60, P < .05), self-efficacy in overcoming impediments (ß = .50, P < .05), and emotional coping (ß = .40, P < .05) variables in the conceptual model had significantly influenced tooth brushing behavior. The total effect of self-efficacy (ß = .79, P < .05), family environment (ß = .41, P < .05), and situational perception (ß = .35, P < .05) variables of the conceptual model significantly influenced the flossing behavior. CONCLUSIONS: The SCT, self-efficacy, and family environment were strongly associated with brushing and flossing behaviors. Therefore, supportive family environments should be considered as one of the top contributors to successful oral health promotion.

Mapping Drug Prescription, Polypharmacy, and Pharmaceutical Spending in Older Adults in Iran: A Multilevel Analysis Based on Claims Data.

Background: To date, comprehensive data on drug utilization in Iranian people are lacking. The purpose of this study was to graphically describe drug prescription, polypharmacy, and pharmaceutical spending in > 3 million Iranian elderly people. Methods: In this multilevel cross-sectional study, using administrative claims data provided by the Iran Health Insurance Organization (IHIO), we assessed drug claims and drug costs in 2018 in >3 million individuals living in Iran and who have been insured with health insurance (Bimeh Salamat). In particular, we analyzed the prevalence of polypharmacy and pharmaceutical spending use according to the annual Report of Iranian Health Insurance Organization. Multilevel ordinal logistic and multilevel beta regression models were used to analyze the data. Significance level was set as P ≤ .05 and CI at 95%. Results: Nationally, the mean number of drug prescriptions per patient was 1.46 (SD, 0.81). The mean number of prescribed drugs per patient was 4.32 (SD, = 3.04). The drug cost for each elderly patient was $6.86 (interquartile range (IQR), 12.26), with $4.96 and $1.76 for the insurance and the insured shares, respectively. For elderly women, the odds of polypharmacy (excessive and nonexcessive vs no polypharmacy) were 1.164 (95% CI, 1.142 to 1.186) times that of elderly men. In addition, in the spring season, the odds of polypharmacy were 1.274 (95% CI, 1.241 to 1.309) times that of the winter. Similarly, polypharmacy was strongly higher among patients who had noncommunicable diseases (OR, 2.174; 95% CI, 2.069 to 2.275 (P < 0.001)). Conclusion: The high prevalence of hyper prescription in Iran elderly people may indicate a need for interventions aiming at deprescribing drugs with an unfavorable benefit-risk profile. The best practice guidelines should be developed for improved medical practice in the prescription of medications for such a vulnerable population.

The effects of suicidal ideation and constructs of theory of planned behavior on suicidal intention in women: a structural equation modeling approach.

BACKGROUND: The Theory of Planned Behavior (TPB) is proposed to predict behavioral intention. We conducted this study aimed to investigate the effects of Suicidal Ideation (SI) and constructs of TPB on suicidal intention. METHODS: This cross-sectional study was conducted with 923 married women selected by multi-stage sampling method from Gilan-e Gharb County, the west part of Iran, in 2018. Data gathering tools were a questionnaire on demographic characteristics, the Beck Scale for Suicidal Ideation, and a four-part questionnaire based on constructs of TPB, including Attitude, Subjective Norms, Perceived Behavioral Control (PBC), and Intention. Data were analyzed by SPSS 19 and AMOS using Structural Equation Modeling (SEM). RESULTS: Out of 923 participants, 345 women (37.4%) had some degree of suicidal ideation. The mean score of suicidal ideation in all of participants was 5.98 ± 7.79, while in the 345 individuals with suicidal ideation was 15.53 ± 3.65. Suicidal ideation had the strongest positive total effect on suicide intent, while PBC and attitude had the negative effect on suicide intent. CONCLUSIONS: Since suicidal ideation had the strongest direct effect on suicidal intent, it is suggested that this variable be used for risk assessment in all suicide prevention programs and counseling measures be implemented to reduce suicidal thoughts. Also, undesirable attitudes toward suicide and perceived behavioral control on suicide intention can be considered and emphasized in planning future interventions.

Indirect estimation of student marijuana consumers population in Hamadan using PRM and NSU methods.

Background: Finding social causes of a particular disease or specific health problem in groups or hidden illnesses, such as drug misuse is difficult. To estimate the population size, it should be taken into account that under enumeration usually occurs in direct estimation of population of certain high-risk groups. The present study used indirect methods to accurately estimate the population of students who have once experienced marijuana abuse. Methods: This cross sectional research was conducted on 461 students in Hamadan. Two indirect methods, the Network Scale-up (NSU) and proxy respondent method (PRM), were used. Data were analyzed by statistical tests and SPSS version 16 and Excel. Results: The mean age (standard deviation) was 22.51 (4.19 years), and the prevalence of marijuana misuse was 1.94%, 4.12%, and 2.6%, respectively, in girls and 14.57%, 12.58%, and 10.4% in boys using NSU, PRM, and direct method. Conclusion: Direct and NSU methods had higher bias than PRM, the frequency of PRM was closer to reality, and the once use prevalence of marijuana was higher in the young male population than in the female.

Evaluation of the relationship between IL-12, IL-13 and TNF-α gene polymorphisms with the susceptibility to brucellosis: a case control study.

BACKGROUND: The cytokine gene polymorphism is important for the genetic susceptibility of infectious diseases. The aim of the present study was to investigate the relationship between TNF-α, IL-12, and IL-13 gene polymorphisms and predisposition to brucellosis. METHODS: In this study, 107 patients with brucellosis and 107 healthy individuals were evaluated. The SNPs of TNF-α)- 238 G/A) and IL-12 (+ 1188 A/C) were done by amplification refractory mutation system-polymerase chain reaction (ARMS-PCR) and IL-13 genotyping at positions - 1512 (A/C) and - 1112 (C/T) were analysis by restriction fragment length polymorphism-polymerase chain reaction (RFLP-PCR) methods. IL-12, IL-13 and TNF-α serum levels were measured by a sandwich enzyme-linked immunosorbent assay (ELISA). RESULTS: IL-13 (-1512A/C) was associated with Brucellosis risk in dominant model (OR (95% CI) = 2.17 (1.02-4.62)), P-value = 0.041. However, there was no difference in allele and genotype frequencies of TNF-α)- 238 G/A), IL-12 (+ 1188 A/C) and IL-13 [- 1512 (A/C) and - 1112 (C/T)] between patients and controls. Serum levels of IL-12 and TNF-α were significantly more frequent in the patients than in the control groups. CONCLUSIONS: The IL-13 gene polymorphism can be used as a biomarker for detecting susceptibility to Brucella disease.

The top six risky behaviors among Iranian university students: a national survey.

BACKGROUND: Multiple risk-taking behaviors are associated with increased risk of poor educational attainment, morbidity and premature mortality. This study involved a large representative sample of Iranian university students addressing multiple risk behaviors and associated factors. METHODS: This cross-sectional study included 4261 participants, involving 13 medical universities throughout the country in 2017. The following six risky behaviors were addressed: (a) smoking cigarettes during the past month, (b) using some kinds of illicit drugs during the past month, (c) drinking alcohol during the past month, (d) engaging unprotected sex during the past year, (e) having suicidal ideation during the past month or attempting suicide in the past year, (f) and Internet addiction. The 20-item internet addiction test and the 28-item general health questionnaire were used. RESULTS: Almost 37.3% of the participants engaged in at least one out of six risky behaviors. The prevalence of Internet addiction was 24.5%, cigarette smoking 13.5%, alcohol use 7.8%, illicit drug abuse 4.9%, unprotected sex 7.8%, suicidal ideation 7.4%, attempting suicide 1.7% and general health problems 38.9%. CONCLUSION: A majority of the Iranian university students studied engaged in at least one risky behavior. Engaging in one risky behavior increases the risk of engaging in other risk-taking behaviors.

Biofilm formation and antibiotic resistance in meticillin-resistant and meticillin-sensitive Staphylococcus aureus isolated from burns.

OBJECTIVE: To investigate the relationship between biofilm formation and antibiotic resistance patterns in meticillin-resistant and meticillin-sensitive Staphylococcus aureus, isolated from burns. METHODS: In a cross-sectional study, pus/wound swab samples were obtained from burns. Presence of Staphylococcus aureus was confirmed, and biofilm formation-related icaABCDR and eta, etb genes were detected by polymerase chain reaction. Biofilm formation assay was assessed using the microtiter plate method. Antibiotic resistance was performed using the disk diffusion method and minimum inhibitory concentration. RESULTS: A total of 95 patients with burns were recruited. Of the 95 wounds swabbed, Staphylococcus aureus was identified in 50 (62.5%), and 47 (94%) isolates capable of producing biofilm. Biofilm production levels were classed as 'strong' (n=29; 58%), 'moderate' (n=11; 22%), 'weak' (n=7; 14%) and 'non-biofilm forming' (n=3; 6%). There was an almost even split between isolates identified as meticillin-resistant Staphylococcus aureus (MRSA), n=24 (48%), and meticillin-sensitive Staphylococcus aureus (MSSA) n=26 (52%). The prevalence of the icaA, icaB, icaC, icaD and icaR genes among the studied isolates were 96%, 80%, 80%, 96% and 84%, respectively. The prevalence of eta and etb genes in isolates were 84% and 92%, respectively. CONCLUSION: Biofilm producing isolates of Staphylococcus aureus showed greater multidrug resistance than non-biofilm producers. In our study, a high rate of biofilm formation and antimicrobial drug resistance was seen. Our results highlight the alarming levels of antimicrobial resistance among MRSA strains and important data about the prevalence of eta and etb genes in Staphylococcus aureus strains isolated from burn patients in this study.

Psychometric properties of the Persian version of the Patient Measure of Safety (PMOS).

Background: Patient safety practice reduces the adverse events that may occur in the health care system during procedures, diseases, and diagnoses. Failure and negligence in identifying and resolving health care system errors may result in financial and physical harm. Thus, this study aimed to investigate the psychometric properties of the Patient Measure of Safety in Hospitals (PMOS). Methods: This study was conducted on 264 patients in 4 hospitals. The patient measure of safety questionnaire has 44 items and 9 domains. To translate the PMOS questionnaire, standardized forward-backward procedure was used, and a panel of experts assessed the face and content validity of the Persian version. Internal consistency, confirmatory factor analysis (CFA), and test-retest method were used to test the validity and reliability of the instrument. Also, AMOS (version 23) and SPSS (version 16) software were used for data analysis and modeling. Results: The average CVI score was 0.85, indicating well results in the Persian context. CVR score was 0.65. The indices of goodness of fit were acceptable for Iranian sample (CFI=0.91, TLI=0.89, RMSEA=0.063, relative/normal Chi-Square Statistic (X2/df)=2.85). All items were significantly loaded on the domains, except the 33rd and 38th items that were related to the eighth domain. Thus, the final Persian version was developed with 8 domains and 42 items. Internal consistency was acceptable for these domains, and test-retest method showed a good reliability (r=0.984). Conclusions: The Persian version of PMOS is an appropriate instrument to assess the safety of patients in Persian language communities. Also, PMOS is an optimal tool to identify and avoid preventable errors.

Association of caries experience and dental plaque with sociodemographic characteristics in elementary school-aged children: a cross-sectional study.

BACKGROUND: Dental caries among Iranian elementary school children aged 6-12 years continue to rise. To estimate treatment needs and guide health initiatives, current epidemiologic data are required. Such data are currently unavailable for dental health. The purpose of this study was to assess caries experience, dental plaque, and associated factors in elementary school-aged children from Iran. METHODS: In this cross-sectional study, 988 elementary school children aged 7-12 years were selected by multistage cluster sampling. Dental caries was studied using the WHO criteria, dental plaque was examined according to O'Leary index. Data on parental education and occupation, living district, dental pain within the past year, and tooth brushing habits under parental supervision were collected through interviews based on questionnaire. The data were analyzed with descriptive statistics and logistic and linear regression. RESULTS: The mean (SD) age of the elementary school children was 9.64 (1.73) years. The highest dmft was seen in elementary school children aged 7-8 years 6.53 (4.37) and the highest DMFT and dental plaque was in 12 year olds recorded as 1.17 (1.77) and 51.97 (25.86), respectively. The proportion of decayed teeth in 7 years old elementary school based on dmft index was 80.36%, moreover, the proportion in 12 years old elementary school was 40.17% based on the DMFT index. Age, gender, and dental pain within the past year were significantly associated with DMFT and dmft. The odds of developing dental caries (DMFT) was 1.70 times higher in girls than in boys (p < 0.001) and 1.72 times higher in the students that reported dental pain frequently than in those who did not (p = 0.005). The chance of developing dental caries (dmft) was 0.47 times lower in girls than boys (p < 0.001). Age was significantly correlated with dental plaque such that Plaque Index increased by 2.44 times per one year increase in age (p < 0.001). CONCLUSION: Results indicated that dental caries experience and plaque formation among elementary school children in Hamadan were high and they were influenced by their sociodemographic factors. The associations found can be used as a helpful guide for planning accurate preventive programs for elementary school children in this region.

Application of graphene nanoplatelets silica composite, prepared by sol-gel technology, as a novel sorbent in two microextraction techniques.

In this study, the application of a novel nanomaterial composite was investigated in two microextraction techniques of solid-phase microextraction and a needle trap device in a variety of sampling conditions. The optimum sampling temperature and relative humidity were 10°C and 20%, respectively, for both techniques with two sorbents of graphene/silica composite and polydimethyl siloxane. The two microextraction techniques with the proposed sorbent showed recoveries of 95.2 and 94.6% after 7 days. For the needle trap device the optimums desorption time and temperature were 3 min at 290°C and for SPME these measures were 1 and 1.5 min at 240-250°C for the graphene/silica composite and polydimethyl siloxane, respectively. The relative standard division obtained in inter- and intra-day comparative studies were 3.3-14.3 and 5.1-25.4, respectively. For four sample the limit of detection was 0.021-0.25 ng/mL, and the limit of quantitation was 0.08-0.75 ng/mL. The results show that the graphene/silica composite is an appropriate extraction media for both techniques. Combining an appropriate sorbent with microextraction techniques, and using these in conjunction with a sensitive analytical instrument can introduce a strong method for sampling and analysis of occupational and environmental pollutants in air.