Introduction: Enteroaggregative Escherichia coli (EAEC) is an important agent of acute and persistent diarrhea worldwide. Few cases have been reported in healthy children. EAEC strains are characterized by aggregative adherence (AA) to HEp-2 cells, wherein bacteria are seen in “stacked brick” aggregates attaching to HEp-2 cells and usually to the glass surface between cells. Goal: To identify Enteroaggregative Escherihia coli using multiplex polymerase chain reaction (PCR) and HEp-2 adherence assay in Ulaanbaatar, Mongolia Materials and Methods: A total of 329 E. coli strains were isolated from stool with diarrhea in National Center for Communicable Diseases from July 2012 through September 2014. All specimens were processed by routine microbiological and biochemical tests in the bacteriological laboratories to identify Salmonella spp., Shigella spp. All specimens in our study were negative for these bacterial and parasitic pathogens. The biofilm formation was evaluated by the growth rate of E.coli on plastic surface. PCR assays were used to detect genes of five types of diarrheagenic E.coli (DEC). All of the DEC strains showed mannose-resistant adherence to HEp-2 cells, and aggregative adherence was predominant in these isolates. Bacterial susceptibility to antimicrobial agents determined by the Kirby Bauer disk diffusion method on Muller Hinton agar. Results: EAEC (31.9%) was the most prevalent by PCR and HEp-2 assay comparing with others. EAEC by multiplex PCR in samples (11, 3.3%), followed by enteropathogenic E.coli (EPEC) seen in 2.1%. Enterohemorrhagic E.coli (EHEC) and enteroinvasive E.coli (EIEC) were found in 7 (2.1%) and 1 (0.3%) of the samples. Enterotoxigenic E.coli (ETEC) and diffusely adhering E.coli were detected in 2 (0.6%), respectively. The evaluation of bacterial biofilm formation using 96 well plates showed 309 negative (93%), 15 weak biofilm (4.6%) and 8 moderate biofilm (2.4%) formation for E.coli and no strong biofilm forming strain was detected. Above 50% of antibiotic resistance was observed for ampicillin, trimethoprim/sulfamethoxazole, cefuroxime and cephalotin. Also, 95.4% of isolates were resistant to at least three different classes of antimicrobial agents and considered as multidrug resistance. Conclusion: EAEC is most prevalent pathogen among DEC in our samples. It is necessary to implement EAEC identifying method on Hep-2 assay in our laboratory practice.

Mental health team includes a psychiatrist, a psychiatric nurse, psychologist and social workers. Mental health workers are more stressful than other sector’s workers. Mental workers are working with mental patients, who have chronic,severe and poor prognosis disorders for long time, and may have Work Burnout Syndrome (WBS). Worldwide, many researches are used Maslach Burnout Inventory (MBI) for assessing WBS. Our goal was to detect risk factors of WBS among mental health workers. We conducted the survey among workers mental (doctors, nurses and assistant nurses) and study design was a descriptive cross-sectional. We are used a questionnaire, is including MBI. Our subjects were 103 workers, who were 27 (26,2%) doctors, 32 (31,1%) nursesand 44 (42,75) nurse- assistant. They were 15 (14,6%) male and 88 (85,4%) female and average age was 38.21 (SD = 8.92). The worker’s average professional working year was 13.09 (SD = 9.76). Most of subjects (n=63 61.2%) were shift-workers and they (n=99 96.1%) have high workload. We determined 3 groups by level of MBS among mental workers, such as the group with EE’s high scale (n = 27; 27%), thegroup with DP’s high scale (n = 23; 22.8%) and the group with PA’s high scale (n = 50; 50.5%).MBS was high among NMHC’s workers. However their work time is low, but theyhave risk factors for MBI such as high workloads, shift work, number of patients. Workers of emergency department had termination burnout syndrome more than other acute departments. This was associated with working condition.

Background: The career and work of medical workers are considered to be the occupation of the highly responsible job of the worldwide. Goal: To identify the percentage of the work-related stress, the burnout, and the symptoms of work-related stress of the physicians and nurses who is working at the critical and intensive care units of UB hospitals. Materials and methodology: The survey was done by quantitative methods and cross sectional design. The study data was collected using the validated questionnaire for the work related stress. The results of the study were analyzed by the Microsoft Excel and SPSS 20 program. Results The response rate was 97.3% The study found that 78.7% of respondents reported having regular stress; and 89.4% of all participants in the survey had a personal burnout, 90.4% had work-related burnout and 94.5% had a high level of client-related burnout.
Physical symptoms include the insomnia 76.7%; psychological symptoms - the headaches 65%; behavioral symptoms as like forgetfulness and annoyance 53.3%; cognitive symptoms as like an increase in sick days or absenteeism by 40% for all physicians and nurses.