Methods of determining optimal cut-point of diagnostic biomarkers with application of clinical data in ROC analysis: an update review.

INTRODUCTION: An important application of ROC analysis is the determination of the optimal cut-point for biomarkers in diagnostic studies. This comprehensive review provides a framework of cut-point election for biomarkers in diagnostic medicine. METHODS: Several methods were proposed for the selection of optional cut-points. The validity and precision of the proposed methods were discussed and the clinical application of the methods was illustrated with a practical example of clinical diagnostic data of C-reactive protein (CRP), erythrocyte sedimentation rate (ESR) and malondialdehyde (MDA) for prediction of inflammatory bowel disease (IBD) patients using the NCSS software. RESULTS: Our results in the clinical data suggested that for CRP and MDA, the calculated cut-points of the Youden index, Euclidean index, Product and Union index methods were consistent in predicting IBD patients, while for ESR, only the Euclidean and Product methods yielded similar estimates. However, the diagnostic odds ratio (DOR) method provided more extreme values for the optimal cut-point for all biomarkers analyzed. CONCLUSION: Overall, the four methods including the Youden index, Euclidean index, Product, and IU can produce quite similar optimal cut-points for binormal pairs with the same variance. The cut-point determined with the Youden index may not agree with the other three methods in the case of skewed distributions while DOR does not produce valid informative cut-points. Therefore, more extensive Monte Carlo simulation studies are needed to investigate the conditions of test result distributions that may lead to inconsistent findings in clinical diagnostics.

Evaluation of elevated serum apelin-13 and D-dimer concentrations in individuals diagnosed with pulmonary embolism.

BACKGROUND: Given the limited specificity of D-dimer, there is a perceived need to discover a more precise marker for diagnosing individuals who are suspected of having pulmonary embolism (PE). In this study, by evaluating the increase in the serum level of Apelin-13 and D-dimer, we found valuable findings about Apelin-13, which can be suggested as an auxiliary and non-invasive diagnostic biomarker in individuals with suspected PE, based on the obtained results. METHODS: In this case-control study, 52 Iranian individuals were included, all of whom were suspected to have PE. These individuals were then divided into two groups based on the results of CT angiography, which is considered the gold standard imaging method for diagnosing PE. The two groups were patients with PE and patients without PE. Finally, the levels of certain markers in the serum were compared between the two groups. RESULTS: The mean serum D-dimer levels in patients with PE were significantly elevated (p < 0.001) in comparison to those without PE (1102.47 to 456.2 ng/ml). Furthermore, the mean level of Apelin-13 was significantly higher in patients with PE (49.8 to 73.11 ng/L) (p < 0.001). The cutoff point of Apelin-13 has been calculated at 58.50 ng/ml, with 90.9% sensitivity and 90% specificity. The D-dimer cutoff point was 500 ng/ml, with 95.5% sensitivity and 43.3% specificity. CONCLUSIONS: Based on the results of this study, the serum level of Apelin-13 can be used as a novel diagnostic and screening biomarker in patients with pulmonary thromboembolism.

Preventive behaviors of COVID-19 in the Iranian adult population during the pandemic: Integrated effect of the health belief model and the planned behavior intention using causal path analysis.

Background: This study aimed to investigate the integration of the health belief model (HBM) and the theory of intention to plan preventive behavior for COVID-19 during the pandemic. Methods: In a cross-sectional study, a sample of 480 adult participants from different outpatient clinics were recruited in the study. The participant responded by self-report; the health belief model (HBM) scale, preventive behavior scale, subjective norms scale, the intention of planned behavior scale, and perceived control behavior scale were measured. The hypothesized causal path models were examined using SEM analysis. Results: The HBM had significant effects on perceived behavior control (ß=0.60, P=0.001), the intended preventive behavior (ß=0.32, P=0.001), and subjective norm (ß=0.53, P=0.001). Subsequently, the intention of preventive behavior (ß==0.39, P=0.001) and subjective norms (ß=0.27, P=0.001) significantly affected the performance of preventive behaviors. The estimated fitting criteria showed that the hypothesized model fits relatively well. Conclusion: The health belief model with the integration of subjective norms, perceived control behavior and mediation by the intention of planned behavior in a pathway relationship explains well the preventive behavior of COVID-19. The findings present a deeper understanding of how integrating HBM and intended planned behavior enhances people's preventive behavior against COVID-19.

Modeling Factors Associated with Dialysis Adequacy Using Longitudinal Data Analysis: Generalized Estimating Equation Versus Quadratic Inference Function.

BACKGROUND: In hemodialysis patients, changes in dialysis adequacy (DA) are examined longitudinally. The aim of this study was to determine factors affecting DA using the generalized estimating equation (GEE) and to compare them with the quadratic inference function (QIF). STUDY DESIGN: A longitudinal study. METHODS: This longitudinal study examined the records of 153 end-stage renal disease (ESRD) patients. The longitudinal data on the DA and baseline demographic and clinical characteristics were obtained from patients' files. The GEE1, GEE2, and QIF models were fitted with different correlation structures, and then the best correlation structure was selected using the quasi-likelihood information criterion (QIC), Akaike information criterion (AIC), and Bayes information criterion (BIC) fitting criteria. RESULTS: The majority of patients (59.5%) had unfavorable DA (KT/V<1.2). Women and patients<60 years had more favorable DA. In the GEE model, the coefficients of female gender (ß=0.079, 95% confidence interval [CI]: 0.032, 0.062), age at starting dialysis (ß=-0.002, 95% CI: -0.004, -0.0001), hypertension (HTN, ß=-0.055, 95% CI: -0.007, -0.103), diabetes (ß=-0.088,95% CI: -0.021, -0.155), dialysis duration (ß=0.132, 95% CI: 0.085, 0.178), and weight (ß=-0.004, 95% CI: -0.006, -0.003) demonstrated a significant relationship with DA. The three models resulted in a similar estimate of regression coefficients. The relative efficiencies of QIF versus GEE1, QIF versus GEE2, and GEE2 versus GEE1 were 1.175, 1.056, and 1.113, respectively. CONCLUSION: DA is not optimal in most hemodialysis patients, and gender, age at the start of dialysis, HTN, diabetes, dialysis duration, and weight had a significant association with DA. The three different models yielded quite similar coefficient estimates, but the QIF model resulted more efficient than GEE1 and GEE2.

Bayesian model averaging for predicting factors associated with length of COVID-19 hospitalization.

INTRODUCTION: The length of hospital stay (LOHS) caused by COVID-19 has imposed a financial burden, and cost on the healthcare service system and a high psychological burden on patients and health workers. The purpose of this study is to adopt the Bayesian model averaging (BMA) based on linear regression models and to determine the predictors of the LOHS of COVID-19. METHODS: In this historical cohort study, from 5100 COVID-19 patients who had registered in the hospital database, 4996 patients were eligible to enter the study. The data included demographic, clinical, biomarkers, and LOHS. Factors affecting the LOHS were fitted in six models, including the stepwise method, AIC, BIC in classical linear regression models, two BMA using Occam's Window and Markov Chain Monte Carlo (MCMC) methods, and GBDT algorithm, a new method of machine learning. RESULTS: The average length of hospitalization was 6.7 ± 5.7 days. In fitting classical linear models, both stepwise and AIC methods (R 2 = 0.168 and adjusted R 2 = 0.165) performed better than BIC (R 2 = 0.160 and adjusted = 0.158). In fitting the BMA, Occam's Window model has performed better than MCMC with R 2 = 0.174. The GBDT method with the value of R 2 = 0.64, has performed worse than the BMA in the testing dataset but not in the training dataset. Based on the six fitted models, hospitalized in ICU, respiratory distress, age, diabetes, CRP, PO2, WBC, AST, BUN, and NLR were associated significantly with predicting LOHS of COVID-19. CONCLUSION: The BMA with Occam's Window method has a better fit and better performance in predicting affecting factors on the LOHS in the testing dataset than other models.

Determination of plasma transcobalamin-II and zinc levels in newly-diagnosed and long-standing grand mal epileptic patients.

Background: The changes of plasma transcobalamin-II (TCII) and Zinc (Zn) Levels in epileptic patients are not clearly understood. The aim of the current study was to evaluate the plasma contents of TCII and Zn levels in newly-diagnosed epileptic seizure patients, long-standing grand mal epileptic patients following treatment with sodium valproate and healthy control group. Methods: Thirty patients aged 36.76±12.91 years with newly-diagnosed and thirty long-standing grand mal epileptic patients aged 35.56 ±12.77 years were diagnosed based on the clinical symptoms. The control subjects were picked out from healthy individuals and matched to the patients, aged 36.30 ±12.80 years. Plasma Zn and TCN-2 was evaluated via spectrophotometry at 546 nm and 450 nm, respectively, using chimerical kits. Results: Plasma level of TCII in the newly-diagnosed epileptic seizures patients and long-standing grand mal epileptic patients were significantly increased, compared to the healthy controls [14.89 ±3.24 and 21.84± 2.73 vs. 9.55±1.24, (n=30)], respectively. Plasma level of Zn was decreased in the newly-diagnosed epileptic seizure patients, while it was increased in long-standing grand mal epileptic patients compared to the control group [69.28± 6.41 and 80.56 ±6.12 and vs.75.80±1.59, (n=30)], respectively. Conclusion: This study suggests that sodium valproate may disrupt the homeostatic balance of TCII and Zn, and cause abnormality of their serum level in newly-diagnosed epileptic seizure patients and long-standing grand mal epileptic patients. Further research is recommended to identify the underpinning for these changes.

Assessment of knowledge, attitude and practice of medical and dental students about maintaining and disinfecting toothbrushes.

INTRODUCTION: Proper toothbrush care and maintenance play an important role in oral health. This study aimed to investigate the knowledge, attitude and practice of medical and dental students regarding the maintenance and disinfection of toothbrushes. METHOD: This cross-sectional descriptive study examined 824 medical and dental students of Babol University of Medical Sciences, Babol, Iran. Data were collected using a researcher-made questionnaire and analysed using chi-square test and independent t-test. The level of statistical significance was considered to be <0.05. RESULTS: Nearly 63.7% of the students had a good level of knowledge regarding toothbrush maintenance, 62.2% had a positive attitude toward toothbrush care, and 53.7% had a good practice. The mean scores of knowledge, attitude, and practice were significantly higher in dental, clinical, and female students as compared to medical, preclinical, and male students, respectively. Based on the results, about 54.3% of the students kept their toothbrushes outside the bathroom; 68% kept them vertically with the bristles upright; and 54% kept them in a separate container. Also, 50.6% of the students believed that toothbrush disinfection was necessary, while 31.9% believed that only certain groups of people needed toothbrush disinfection. CONCLUSION: This study indicated the moderate level of knowledge, attitude, and practice of medical and dental students in maintaining and disinfecting their toothbrushes. The students' oral health habits were also at a moderate level; therefore, further improvements seem essential. To achieve this goal, educational intervention programs need to be developed in the future.

Evaluation of Time-Varying Biomarkers in Mortality Outcome in COVID-19: an Application of Extended Cox Regression Model.

Background: COVID-19 pandemic has created many challenges for clinicians. The monitoring trend for laboratory biomarkers is helpful to provide additional information to determine the role of those in the severity status and death outcome. Objective: This article aimed to evaluate the time-varying biomarkers by LOWESS Plot, check the proportional hazard assumption, and use to extended Cox model if it is violated. Methods: In the retrospective study, we evaluated a total of 1641 samples of confirmed patients with COVID-19 from October until March 2021 and referred them to the central hospital of Ayatollah Rohani Hospital affiliated with Babol University of medical sciences, Iran. We measured four biomarkers AST, LDH, NLR, and lymphocyte in over the hospitalization to find out the influence of those on the rate of death of COVID-19 patients. Results: The standard Cox model suggested that all biomarkers were prognostic factors of death (AST: HR=2.89, P<0.001, Lymphocyte: HR=2.60, P=0.004, LDH: HR=2.60, P=0.006, NLR: HR=1.80, P<0.001). The additional evaluation showed that the PH assumption was not met for the NLR biomarker. NLR biomarkers had a significant time-varying effect, and its effect increase over time (HR(t)=exp (0.234+0.261×log(t)), p=0.001). While the main effect of NLR did not show any significant effect on death outcome (HR=1.26, P=0.097). Conclusion: The reversal of results between the Cox PH model and the extended Cox model provides insight into the value of considering time-varying covariates in the analysis, which can lead to misleading results otherwise.

Accuracy of obesity indices alone or in combination for prediction of diabetes: A novel risk score by linear combination of general and abdominal measures of obesity.

Background: The predictive power of obesity measures varies according to the presence of coexistent measures. The present study aimed to determine the predictive power of combinations of obesity measures for diabetes by calculation of a linear risk score. Methods: Data from a population-based cross-sectional study of 994 representative samples of Iranian adults in Babol, Iran were analyzed. Measures of obesity including waist circumference (WC), body mass index (BMI), waist-to-height ratio (WHtR), and waist to hip ratio (WHR) were calculated, and diabetes was diagnosed by fasting blood sugar >126 mg/dl or taking antidiabetic medication. Multiple logistic regression model was used to develop a logit risk score based on BMI, WC, WHtR, and WHR. The ROC analysis was applied to determine the priority of every single index and combined logit score for the prediction of diabetes. Results: All four measures of general and abdominal obesity were predictors of diabetes individually in both sexes (P=0.0001). Calculation of risk score for a combination of all measures use full model improved predictive power. Adjustment for age resulted in further improvement in diagnostic power and combined novel risk score differentiated individuals with and without diabetes with an accuracy of 0.747 (95%CI: 0.690-0.808) in men and 0.789 (95%CI: 0.740, 0.837) in women. Conclusion: These findings indicate that the simultaneous calculation of age-adjusted risk score for all measures provides stronger diagnostic accuracy in both sexes. This issue suggests the calculation of combined risk scores for all obesity indices especially in a population at borderline risk.

Prognostic accuracy of inflammatory markers in predicting risk of ICU admission for COVID-19: application of time-dependent receiver operating characteristic curves.

OBJECTIVE: Intensive care unit (ICU) admission occurs at different times during hospitalization among patients with COVID-19. We aimed to evaluate the time-dependent receive operating characteristic (ROC) curve and area under the ROC curve, AUC(t), and accuracy of baseline levels of inflammatory markers C-reactive protein (CRP) and neutrophil-to-lymphocyte ratio (NLR) in predicting time to an ICU admission event in patients with severe COVID-19 infection. METHODS: In this observational study, we evaluated 724 patients with confirmed severe COVID-19 referred to Ayatollah Rohani Hospital, affiliated with Babol University of Medical Sciences, Iran. RESULTS: The AUC(t) of CRP and NLR reached 0.741 (95% confidence interval [CI]: 0.661-0.820) and 0.690 (95% CI: 0.607-0.772), respectively, in the first 3 days after hospital admission. The optimal cutoff values of CRP and NLR for stratification of ICU admission outcomes in patients with severe COVID-19 were 78 mg/L and 5.13, respectively. The risk of ICU admission was significantly greater for patients with these cutoff values (CRP hazard ratio = 2.98; 95% CI: 1.58-5.62; NLR hazard ratio = 2.90; 95% CI: 1.45-5.77). CONCLUSIONS: Using time-dependent ROC curves, CRP and NLR values at hospital admission were important predictors of ICU admission. This approach is more efficient than using standard ROC curves.

Nitric oxide and inducible nitric oxide synthase levels in EE and NERD patients.

Aim: This article aimed to evaluate nitric oxide (NO) and nitric oxide synthase (iNOS) markers in patients with erosive esophagitis (EE) and those with non-erosive reflux disease (NERD) and compare them with the control group. Background: Gastro-esophageal reflux disease (GERD) is one of the most common disturbances of the upper digestive tract. Inducible nitric oxide synthase (iNOS) is expressed in esophageal adenocarcinoma. NO, the product of this enzyme, has been implicated in the pathogenesis of this condition. Nevertheless, the data on whether iNOS and NO are expressed in the early stages of GERD is conflicting. Methods: In this study, tissue samples were obtained from fifty-four patients (27 with erosive esophagitis and 27 with non-erosive reflux disease) and 27 controls. Tissue concentrations of nitrite, nitrate, and iNOS were measured using Enzyme-Linked Immune-sorbent Assay (ELISA). The Bradford method was used to determine the protein concentration of samples. The results were analyzed by SPSS software (version 22.0). In multiple comparisons, the Tukey test was performed, and p < 0.05 was considered as the level of significance. Results: Tissue amounts of iNOS were significantly higher (p= 0.001) in EE patients compared with the control group. There was a significant difference (p= 0.01) in this factor between EE patients and patients with NERD. Moreover, tissue levels of nitrite and nitrate were significantly higher (p = 0.001) in patient groups compared with the control group. Conclusion: It was observed that NO and iNOS protein were increased in human esophagitis tissue. The results indicated that nitric oxide and iNOS levels are useful and effective markers in the pathogenesis of GERD. While the results are not certain, it is thought that a link exists between the expressions of iNOS and disease progression.

A path causal model in the association between self-efficacy and self-care with quality of life in patients with type 2 diabetes: An application of the structural equation model.

Background and Aims: The simultaneous role of self-care and self-efficacy in improving the quality of life (QoL) of diabetic patients has been less considered in previous studies. This study was aimed to investigate the path association between self-care and self-efficacy with QoL using the structural equation model (SEM). Methods: This cross-sectional study was conducted with 496 individuals of type 2 diabetic patients aged 35-75 years that were selected consequently from outpatients' clinic, in Babol, the north of Iran. The data collection instruments were demographic, self-care, self-efficacy, and QoL scales. The conceptual hypothesized model was designed based on previous evidence and tested by confirmatory factor analysis using SEM and path coefficients were estimated by the maximum likelihood method. Results: Self-care had a significant relationship with employment status, level of education, and body mass index. QoL was significantly associated with economic status and place of residence. Self-efficacy beliefs had a positive and a direct effect on both self-care and QoL. But self-care and self-efficacy tended to have a nonsignificant positive relationship with QoL. The postulated conceptual path model was acceptable through the SEM goodness of fit criteria. Conclusion: The findings show the fitness of the framework hypothesized structural model in the QoL of diabetic patients and this SEM makes this study unique from others. The results showed that the role of self-efficacy and self-care could be considered on the QoL. Therefore, nonpharmacological and supportive methods, such as strengthening self-efficacy and self-care, could be recommended as an effective method to enhance the QoL of diabetic patients.

Role of scaling combination of risk factors in clinical and imaging findings during pregnancy in predicting placenta accreta spectrum.

BACKGROUND: Placenta accreta is one of the known causes of maternal mortality and morbidity. If diagnosed before delivery, appropriate actions can be taken. The aim of this study was to investigate the role of scaling combination of risk factors in predicting placenta accreta spectrum (PAS). METHODS: In this cross-sectional study, 120 pregnant women with two criteria and more of placenta previa in their ultrasound, underwent MRI. Clinical scores (history of surgery, cesarean section, previa, etc.) and paraclinical scores (ultrasound and MRI) were recorded and combined. In cases of hysterectomy, pathological examination was performed. The results were compared and analyzed using SPSS Version 22. The significance level was less than 0.05. RESULTS: Of the120 studied patients, 90 (75%) women were diagnosed with placenta previa in which, 32(36%) patients had placenta accreta and 12 patients had placenta accreta without placenta previa. The mean ultrasound score in women without and with placenta accreta were 0.05±0.32 and 2.43±1.83 (p<0.001). The mean MRI score in women without and with placenta accreta were 0.05±0.27 and 2.07±2.02, respectively. The cut-off point, sensitivity and specificity were 0.50, 100% and 93.4%, respectively. The mean clinical score without and with placenta accreta were 1.97±1.32 and 4.89±3.21, respectively. The cut-off point, sensitivity and specificity were 2.50, 70% and 80%, respectively. The cut-off point of combination score, sensitivity and specificity were 3.50, 89%, 83%. CONCLUSION: The results of the present study showed that the most specific test to confirm the definitive diagnosis of placenta accreta is paraclinical score, alone.

Association of social support, spirituality with psychological factors in Iranian breast cancer survivors: An evidence from a cross-sectional study.

AIMS: The aim of this study was to explore the protective role of social support and spirituality in the prevention of depression, anxiety and fatigue severity. DESIGN: In a cross-sectional study, 305 women of breast cancer survivors were recruited in the study. METHODS: The participants answered a self-reported the hospital anxiety and depression scale, fatigue severity scale (FSS), social support and spiritual health questionnaires. The data were analysed using a multiple linear regression model to estimate the adjusted regression coefficients. RESULTS: A greater proportion of patients had moderate depression (62.9%) and moderate anxiety (67.3%). The higher level of social support was significantly associated with a lesser degree of depression (ß=-0.05, p = .001) and anxiety (ß=-0.04, p = .001), but there had been no association with the severity of fatigue score, while the association of spiritual health with depression and anxiety was not independently significant. This study highlights the importance of perceived social support in the prevention of depression and anxiety.

Combined effect of oral famotidine and cimetidine on the survival of lethally irradiated mice: An in vivo study.

AIMS: The study aims at evaluating the effects of the combinatory famotidine/cimetidine diet on radiated mice's survival. MATERIALS AND METHODS: Two hundred and seventy male mice were categorized into 11 groups, a number of which were comprised of subgroups too. The groups under analysis were posed to varying doses of gamma-radiation, including 6, 7, 8, and 9 Gy, followed by treatments using various drug doses 2, 4, and 8 mg/kg, with survival fractions as long as a month after irradiation being measured and recorded. RESULTS: LD50/30 was calculated as 7.47 Gy for the group with radiation only. Following mouse treatment with a concentration of 4 and 20 mg/kg for famotidine and cimetidine, respectively, the survival fraction for the mice grew significantly compared to LD50/30. The combinatory famotidine/cimetidine diet had a higher dose-reduction factor (DRF) than single doses of the drug in radioprotection. The DRF for combinatory famotidine/cimetidine, famotidine, and cimetidine diets was 08.09, 1.1, and 1.01, respectively. CONCLUSIONS: Results imply that the combined regimen of famotidine + cimetidine in radioprotection had no significant higher DRF than with regimens including each of them separately. In addition, we did not find a synergic effect of combined oral famotidine and cimetidine on irradiated mice.

Accuracy of self-perceived risk perception of breast cancer development in Iranian women.

BACKGROUND: The accuracy of subjective risk perception is a matter of concern in breast cancer development. The objective of this study was to evaluate the accuracy of self-perceived risk assessment of breast cancer development and compared to actual risk in Iranian women. METHODS: The demographic, clinical, and reproductive characteristics of 800 women aged 35-85 years were collected with an in-person interview. The self-perceived risk and the actual risk were assessed using the visual analog scale (VAS) and he Gail model respectively. Gail's cutoff of 1.66% risk was used to categorize the estimated 5-year actual risk as low/average risk (< 1.66%) and high risk (≥ 1.66). In low/average risk, if the self-perceived risk > actual risk, then individuals were considered as overestimating. Similarly, in high-risk women, if the perceived risk < actual risk, then, the subjects were labeled as under-estimate; otherwise, it was labeled as accurate. The Kappa statistics were used to determine the agreement between self-perceived risk and actual risk. ROC analysis was applied to determine the accuracy of self-perceived risk in the prediction of actual risk. RESULTS: The perceived risk was significantly higher than actual risk (p = 0.001, 0.01 for 5-year and lifetime risk respectively). Both in low and high-risk groups about half of the women over-estimate and underestimate the risk by subjective risk perception. For a 5-year risk assessment, there was no agreement between perceived risk and actual risk (Kappa = 0.00, p = 0.98) but a very low agreement between them in lifetime risk assessment (Kappa = 0.09, p = 0.005). The performance of accuracy of risk perception versus actual risk was very low (AUC = 0.53, 95% CI 0.44-0.61 and AUC = 0.58, 95% CI 0.54-0.62 for the 5-year risk and lifetime risk respectively). CONCLUSION: The clinical performance of risk perception based on VAS is very poor. Thus, the efforts of the public health education program should focus on the correct perception of breast cancer risk among Iranian women.

Comparison of competitive cognitive models in explanation of women breast cancer screening behaviours using structural equation modelling: Health belief model and theory of reasoned action.

INTRODUCTION: The efficacy of the theory of reasoned action (TRA), compared with the health belief model (HBM), has not been fully elucidated in screening practices. METHODS: This population-based cross-sectional study was conducted with samples of 500 women aged 35-85 years, in the north of Iran. The data of demographic characteristics, awareness, health belief, subjective norms and screening behaviours were collected using standard instruments. Structural equation modelling (SEM) was applied to estimate the pathways of regression coefficients. RESULTS: The model that incorporated the health belief and the standardised coefficient of the knowledge scores influenced significantly on the health belief perception (beta = 0.375), and consequently, the health belief directly affected screening behaviours (beta = 0.73). In contrast, In TRA model, while the direct effect of knowledge on intention was negligible it has a greater indirect effect by mediating health belief and subjective norms (indirect beta = 0.35) on behaviour intention. A high coefficient of intention was observed by subjective norms (beta = 0.626), and the intention has a great positive effect on screening behaviour (beta = 0.601). All fitting indexes were quietly improved in the TRA model as compared with HBM. CONCLUSION: Thus, the unifying structure of knowledge, health belief, subjective norms and intention improves the predictor power in breast cancer screening behaviours.

Evaluation of Fructosamine 3-kinase and Glyoxalase 1 activity in normal and breast cancer tissues.

BACKGROUND: Breast cancer is a typical malignancy and the most common in the female and it is the primary reason behind cancer-related deaths of women around the world. The pathological role of the non-enzymatic change of proteins by reducing sugars become frequently shows in different kinds of cancer. Cancer cells generally rely upon aerobic glycolysis as the main source of energy. Impaired glucose metabolism is somewhat responsible for the aggregation of advanced glycation end products (AGEs). Methylglyoxal (MG), a glycolysis byproduct either contributes to the accumulation of AGEs. Enzymatic defense upon AGEs products exists in all mammalian cells. AIMS: The present work intends to look into Glyoxalase1 (GLO1) and fructosamine-3-kinase (FN3K) activity in human breast carcinoma. METHODS: Thirty-three consecutive patients were entered into the study. Samples of breast tumoral tissue and normal matches were drawn from patients after surgery. FN3K and GLO1 enzymatic activity were analyzed using a radiometric and spectrophotometric assay. RESULTS: The average level of FN3K enzyme was fundamentally lower in cancerous tissues parallel with adjacent noncancerous tissues. We also observed a consistent increase of GLO1 activity in the tumor parallel with pair-matched normal tissue. CONCLUSION: The current findings build up a key-role of enzymatic defense to detoxify cytotoxic AGEs and methylglyoxal levels in tumor cells. These discoveries may give another system to the treatment of breast cancer.

Prevalence and factors related to psychiatric symptoms in low risk pregnancy.

BACKGROUND: Psychiatric disorders are associated with poor pregnancy outcomes both for mother and child. This study aimed to determine the prevalence and related demographic risk factors of psychiatric symptoms among the pregnant women in Babol City. METHODS: This cross-sectional study was conducted in five private and public obstetrics clinics of Babol city. During routine appointments of prenatal care, 176 pregnant women filled in three questionnaires including; sociodemographic questionnaire, Edinburg Prenatal Depression Scale (EPDS), and Symptom Checklist-25 (SCL-25). Wilcoxon test, Spearman correlation, and multivariate logistic regression tests were used to interpret the data. RESULTS: The prevalence of depressive disorders was 15.4%% for Edinburg scores ≥13. The overall rate of maternal psychiatric symptoms (global severity index or GSI scores ≥ 1.75) was 48.5%. The prevalence of psychiatric symptoms was high; for 25% somatization, 258% anxiety, obsession-compulsion disorders or OCD 6.4%, 8.8% interpersonal sensitivity, 5.3% phobia, 7.6% paranoid ideation, and 1.2% psychoticism. Multivariate logistic regression revealed that pregnant women with history of abortion in previous pregnancy were at risk of depressive symptoms more (ß=3.18, CI 1.28-7.93, p=0.01) than those without history of abortion. Also, the only demographic factor related to psychiatric symptoms was the age of pregnant women; younger age was associated with higher symptom levels for GSI ((r=-0.17). CONCLUSION: The high prevalence of psychiatric symptoms, especially depressive symptoms, in pregnant women highlights the need for continued research on screening, identifying the risk factors, and developing effective treatments for mental disorders in pregnant women.

Factor structure and reliability of Persian version of hospital anxiety and depression scale in patients with breast cancer survivors.

INTRODUCTION: Anxiety and depression are significant concerns in breast cancer patients, and it may remain for a long term after primary treatments. The hospital anxiety and depression scale (HADS) is widely used to measure depressive and anxiety symptoms in clinical practices. The purpose of this study was to assess the psychometric properties of the Persian version of this scale in Iranian breast cancer survivors. METHODS: A total of 305 patients with breast cancer, refered to Cancer Hospital in northen Iran and completed the primary treatments were enrolled in. All patients responded to a 14-item HADS. We performed confirmatory factor analysis (CFA) to examine the factor structure of HADS and the item-scale analysis in order to estimate the item reliability and consider the Cronbach's alpha as a measure of internal consistency. RESULTS: With a threshold of ≥8, the prevalence of anxiety and depression symptoms (moderate/severe) was 78.9 and 66.9%, respectively. The Cronbach's alpha coefficients for anxiety and depression were 0.81 and 0.78, respectively. The CFA confirmed the two-factor structure model for HADS, indicating a good fitting summary indexes (χ2/df = 2.83, NFI = 0.88, RFI = 0.82, IFI = 0.92, CFI = 0.92, and RMSEA = 0.078). CONCLUSION: The CFA and item reliability analysis have indicated an excellent psychometric property of the Persian version of HADS to measure depressive and anxiety symptoms in breast cancer survivors. Thus, HADS is a useful screening tool to identify post-breast cancer anxiety and depressive disorders.