Prevalence and risk factors associated with Q fever infection in slaughterhouse workers in Fars province, Iran.

OBJECTIVE: Q fever is a main occupational zoonotic disease. Slaughterhouse is one of the most remarkable ways of transmitting the infection from livestock to humans. This study aimed to survey the prevalence of Q fever in slaughterhouse workers in Fars province, Iran, for the first time. METHODS: Ninety serum samples were collected from slaughterhouse workers and tested to detect Immunoglobulin G (IgG) against Coxiella burnetii using ELISA and indirect immunofluorescence assay (IFA). PCR was also applied to identify C. burnetii DNA in the blood samples. RESULTS: Q fever seroprevalence was found at 26.7% in ELISA, showing recent infection. This result indicates that Q fever seroprevalence is relatively high in the Fars region. IFA showed a high seroprevalence of total IgG antibodies at 1:64 titer (73.3%) and relatively high IgG at 1:256 titer (40%) against C. burnetii. 2.2% of the workers were recognized as having probable acute Q fever. The IgG II prevalence at 1:64 and 1:256 titers was, respectively, 63.3% and 24.4% positive. The IgG I prevalence at 1:64 and 1:256 titers was also found 33.3% and 22.2% positive, respectively. Molecular prevalence of Q fever was also 8.9%. A significant relationship was found between IgG I seropositivity and longer work experience and employing other livestock-related jobs (animal husbandry and butchery) (P < 0.05). CONCLUSIONS: As such, the high seroprevalence of Q fever among abattoir workers highlights the importance of further comprehensive epidemiological studies, occupational screening programs, and preventive measures for Q fever in high-risk groups. This also warns animal health care organizations about the risk of Q fever infection in livestock in this region.

Antibiotic residues in poultry tissues in Iran: A systematic review and meta-analysis.

To control the drug residues in foods, the national Maximum Residue Limits (MRLs) have been determined by the international organizations; however, no regulation has been complied for MRL in food animals in Iran. This study was a systematic review and meta-analysis about studies of antibiotic residues in slaughtered poultry carcasses, in Iran. The information was first collected and analyzed throughout six international databases, and four Iranian national databases. According to the data, the total prevalence of antibiotic residues was obtained as 39.41%, 5.40%, and 0.30% using four-plate test (FPT), High-Performance Liquid Chromatography (HPLC), and Enzyme-linked immuno_sorbent assay (ELISA) methods, respectively. The highest prevalence of the residues was shown in the liver by both methods of HPLC (47.75%) and ELISA (14.35%). Moreover, the total mean of antibiotics was recorded as 71.03 ppb and 65.86 ppb in different tissues using the HPLC and ELISA method, respectively. Based on this study, we can conclude that the prevalence of antibiotic residue in poultry meat in Iran is high and that this level does not cause health problems for consumers. It is highly recommended to execute tight surveillance strategies from the government in antibiotic monitoring.

Isolation and characterization of two Staphylococcus aureus lytic bacteriophages "Huma" and "Simurgh".

Nowadays finding the new antimicrobials is necessary due to the emerging of multidrug resistant strains. The present study aimed to isolate and characterize bacteriophages against S. aureus. Strains Huma and Simurgh were the two podovirus morphology phages which isolated and then characterized. Huma and Simurgh had a genome size of 16,853 and 17,245 bp, respectively and both were Rosenblumvirus with G + C content of 29%. No lysogeny-related genes, nor virulence genes were identified in their genomes. They were lytic only against two out of four S. aureus strains. They also were able to inhibit S. aureus for 8 h in-vitro. Both showed a rapid adsorption. Huma and Simurgh had the latent period of 80 and 60 m and the burst sizes of 45 and 40 PFU/ml and also, they showed very low cell toxicity of 1.23%-1.79% on HT-29 cells, respectively. Thus, they can be considered potential candidates for biocontrol applications.

A systematic review and modeling of the effect of bacteriophages on E. coli O157:H7 reduction in vegetables.

Prevention and control of food pathogens are important for public health and E. coli O157:H7 infections are known as one of the most important food-borne bacterial diseases transmitted to humans. Vegetables can be a major source of E. coli O157:H7 bacteria. Bacteriophages have been considered in recent years as a natural method for controlling pathogens with minimal damage to the quality of vegetables. The performance of these natural antimicrobial agents is affected by various factors including time, temperature, phage and bacterial dose, method of phage application and origin of phages. The aim of the present study was to conduct a systematic review of the works that have examined the effect of different factors to reduce E. coli O157:H7 bacteria by its specific phages and model their effect. In our study, 10 articles were chosen after applying the inclusion and exclusion criteria mentioned in the methodology. The multivariate regression results showed that time, temperature, and method of phage application revealed a positive influence on the phage function, and with each unit of increase, the E. coli O157:H7 reduction increases by 0.4 %, 3 % and 0.94 % respectively, and 6 % for phage dose, but not statistically significant (P = 0.44). In addition, commercial-type phages were more effective than wild-type phages and this result was statistically significant (Beta = 0.99; P = 0.001). The results of this study indicate that the various factors, such as temperature, time, method of phage application and type of vegetables can play an important role to reduce E. coli O157:H7 in vegetables.

The Effect of an Educational Intervention Based on the Health Belief Model on Preventive Behaviors of Prostate Cancer in Military Men.

BACKGROUND: Prostate cancer is the most common malignant cancer, and after lung cancer, is the second cause of death among all types of cancer in men. This study was done to assess the educational intervention based on the Health Belief Model on the promotion of preventive behaviors of prostate cancer among military men. METHODS: The present study is a semi-experimental study that was conducted on 80 men of a military collection by using randomized-stratified sampling with proportional allocation approach in BandarAbbas in 2017. The individuals were randomly divided into two groups, intervention (n = 40) and control (n = 40). The data collection tool was a questionnaire including demographic questions, knowledge questions and questions about Health Belief Model constructs and efficiency of preventive behavior that was completed in two stages and PSA Test doing. Data were analyzed by using SPSS software-version 21-, descriptive statistics (frequency, mean and standard deviation) and inferential statistics (independent T-test and paired T-test). RESULTS: After three months intervention, the mean score of Perceived Susceptibility, Severity, Benefits, Barriers, Self-Efficacy, and preventive behavior performance were seen significantly different between the two groups (p < 0.05), 52.5% of them was done PSA Test. CONCLUSIONS: Based on the health belief model, educational intervention has been effective in promoting preventive behaviors. According the effect of Health Belief Model components on preventive behaviors it is suggested that health care providers identify the benefits and barriers of preventative behaviors and through enhancing the benefits and reducing the barriers, help men to prevent prostate cancer.

Application of Parametric Models to a Survival Analysis of Hemodialysis Patients.

BACKGROUND: Hemodialysis is the most common renal replacement therapy in patients with end stage renal disease (ESRD). OBJECTIVES: The present study compared the performance of various parametric models in a survival analysis of hemodialysis patients. METHODS: This study consisted of 270 hemodialysis patients who were referred to Imam Khomeini and Fatima Zahra hospitals between November 2007 and November 2012. The Akaike information criterion (AIC) and residuals review were used to compare the performance of the parametric models. The computations were done using STATA Software, with significance accepted at a level of 0.05. RESULTS: The results of a multivariate analysis of the variables in the parametric models showed that the mean serum albumin and the clinic attended were the most important predictors in the survival of the hemodialysis patients (P < 0.05). Among the parametric models tested, the results indicated that the performance of the Weibull model was the highest. CONCLUSIONS: Parametric models may provide complementary data for clinicians and researchers about how risks vary over time. The Weibull model seemed to show the best fit among the parametric models of the survival of hemodialysis patients.