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INTRODUCTION: The objective of the present study was to evaluate the prevalence of hepatitis E virus in acute hepatitis in pediatric patients. METHODS: This was a cross-sectional study including 180 children with acute hepatitis. Blood samples were obtained and subjected to study the serological markers of hepatitis B surface antigen (HBsAg), hepatitis B core IgM (HBc IgM), hepatitis C IgG (HCV IgG) and hepatitis A IgM (HAV IgM), hepatitis E IgM and IgG, cytomegalovirus IgM (CMV IgM) and specific antibodies IgM for Epstein Barr virus by ELISA. Also ELISA attempted the laboratory diagnosis of autoantibodies by performing assay of antinuclear and anti-smooth muscle antibodies. Real time PCR was used for determination of HEV-RNA in samples positive for HEV serological markers. RESULTS: From a total of 180 children with acute jaundice 69.4% were males and 39.6% were females with mean age ± standard deviation 5.8±3.5 years. Positive HEV markers were found in 47 patients (26.1%). A comparison between demographic, clinical and laboratory findings in children with positive HEV markers and children negative for HEV markers, revealed significant association with contact of animals (p=0.001), rural residence (p=0.001), presence of positive autoantibodies (p=0.001) and positive HAV IgM (p=0.001). The markers of hepatitis E virus showed significantly higher prevalence in children below age of 6 years (p=0.04). CONCLUSIONS: HEV infection is more common in preschool age. There is a significant association between contact with animals, rural residence and other hepatitis affection like autoimmune hepatitis and other viral hepatitis viruses such as hepatitis A.
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INTRODUCTION: Nasal colonization with coagulase-negative staphylococci (CoNS) may be a preliminary risk factor for systemic infection. The aim of this study was to assess the frequency of ica A and D genes and biofilm formation among hospital-acquired nasal colonizing CoNS strains isolated from neonates in the neonatal intensive care units (NICUs). Antibiotic sensitivity patterns and some relevant risk factors were estimated. METHODS: This study assessed nasal colonization with CoNS among neonates at days one and three of admission to NICUs of Beni-Suef University Hospital and Beni-Suef General Hospital from November 2015 to May 2016. The isolates were screened and identified; susceptibility testing was performed. Biofilm formation was examined using the Congo red agar method. Isolates identified as CoNS were tested by polymerase chain reaction (PCR) for the presence of mecA and icaA and icaD genes. RESULTS: A total of 340 nasal swabs were collected from 170 neonates. The incidence of nasal colonization with CoNS was 50%. The species most frequently isolated were S. haemolyticus and S. epidermidis. Multidrug resistance (MDR) was detected in 86% of isolates. It was found that there was a strong association between the presence of mecA gene and phenotypic resistance to methicillin and also the presence of the icaA gene and biofilm formation. CONCLUSIONS: Neonates admitted to NICUs can become reservoirs for CoNS strains, leading to potential dissemination of MDR strains into the community.
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BACKGROUND: Early detection of latent tuberculosis infection (LTBI) might prevent active TB development in healthcare workers (HCWs). The aim of the study is to assess the prevalence of LTBI among HCWs exposed to active TB, compare QFT-GIT and TST in the diagnosis of LTBI, and explore possible risk factors of LTBI. SETTING AND DESIGN: This was a cross-sectional study for a period of 6 months among 153 HCWs in high-risk departments dealing with TB infection - Beni-Suef University Hospital, Egypt. MATERIALS AND METHODS: HCWs were asked to fill a questionnaire for possible LTBI risk factors, and tuberculin skin test (TST) and serum QuantiFERON test were used for LTBI screening. STATISTICAL ANALYSIS: Statistical Package for Social Science (SPSS-18) was used for data analysis; qualitative data were compared using Chi-square test, while associations between risk factors for TB and positive QFT or TST were analyzed by a logistic regression model. RESULTS: LTBI detected by QuantiFERON-TB Gold In-Tube Test (QFT-GIT) and by TST was 9.1% and 34.6%, respectively (kappa = 0.028). Logistic regression showed that departments, duration of work, the use of N95 masks, and training in infection control practices were significant predictors for positive QFT-GIT among participants (P < 0.05). CONCLUSION: Work duration of >10 years, nurse profession, diabetics, and smokers were at increased risk of having LTBI. Increased training programs and implementation of infection control measures TB to reduce the risk of LTBI are recommended.