BACKGROUND. HCV-infected and obesity related liver diseases are leading to increases in the prevalence of advanced liver disease. So, studying liver disease, especially liver fibrosis is crucial issue of today. In Mongolia digestive system disease is second causation of non-communicable disease. Therefrom in last years hepatocellular carcinoma is most common malignancy, first of all cancers in Mongolia. In response to acute or chronic liver injury, hepatic fibrosis is the accumulation of extracellular matrix and ultimately leads to cirrhosis. Cirrhosis is the end-stage of fibrosis, resulting in nodule formation that may lead to altered hepatic function and blood flow. Defining the phase of liver fibrosis is crucial for therapeutic choice prognosis, important role in monitoring treatment. At the present time, use of direct and undirect biomarkers methods could be recommended for liver fibrosis stage. The aim of this study is to determine liver fibrosis stage and to compare undirect biomarkers in chronic viral hepatitis, cirrhosis. METHODS: 630 cases by chronic viral hepatitis and cirrhosis at third central hospital in Mongolia from retrospectively reviewed and analysed. The clinical data including AST, ALT, platelet count and INR were recorded. APRI, FIB-4, AAR and FibroQ were calculated. RESULT: From all, males 42.06% and females 57.94%, with mean age of 55.35±24.0, in 130 cases with chronic viral hepatitis and 500 cases with cirrhosis. In cases of cirrhosis, mean value of platelet count, ALT, AST, INR was 120.54±73.53, 104.55±500.22, 111.68±279.97, 2.19±10.45, respectively. And in cases of chronic viral hepatitis platelet count mean value was 211.18±6.42. APRI was detected <0.5 cutoff value (F0-F1) 11.7% non-fibrosis, 0.5-1.5 score (F2-F3) 27.5% fibrosis, >1.5 cutoff value (F4) 60.8% cirrhosis. FIB-4 was determined <1.45 cutoff value (F0-F1) 14.8% non-fibrosis, 1.45-3.25 score (F2-F3) 15.7% fibrosis, >3.25 cutoff value (F4) 69.5%, AAR was showed <0.4 cutoff value (F0-F1) 2.3% non-fibrosis, 0.4-1 score (F2-F3) 30.2% fibrosis, >1 cutoff value (F4) 67.5%. And FibroQ was detected <0.6 cutoff value (F0- F1) 0.5% non-fibrosis, 0.6-2.6 score (F2-F3) 6% fibrosis, cutoff value 2.6< (F4) 93.5 cirrhosis. In study liver fibrosis staging by APRI, AAR, FIB-4 and FibroQ score system, AAR was determined fibrosis in 190 cases. CONCLUSION: Recorded data ALT, AST, INR in cases of cirrhosis were detected 104.55±500.22, 111.68±279.97, 2.19±10.45, respectively. And in cases of chronic hepatitis platelet count mean value was 211.18±6.42. APRI, AAR, FIB-4, FibroQ was determined fibrosis 27.5%,30.16%,15.71% and 6.03%, respectively.

Introduction: According to the World Health Organization (WHO) in 2020, brain and central nervous system (CNS) cancers account for 2% of all newly diagnosed cancers in the world and 1.5% in Mongolia. Approximately 85-90% of all brain and other CNS tumors were diagnosed primary brain tumor. In 2019, the average 5 year survival probability was 50% for other cancers and 11% for the primary brain tumors. There were 28 patients with primary brain tumor and 33 relatively healthy individuals in our study. Goal: To study the diagnostic value of serum aquaporin-4 and glial fibrous acidic protein in the diagnosis of primary brain cancer Material and Methods: The Department of Neurosurgery at Third central hospital included 28 patients with primary brain cancer and 33 relatively healthy people. The study was conducted under the permission of the Medical Ethics Review Committee of the Ministry of Health on June 19, 2019 №119. Serum aquaporin-4 and glial fibrous acidic protein content was determined by the ELISA kits method using the human aquaporin-4 and glial fibrous acid protein test kit of the Chinese company “Sanlong”. The level is assumed to be true if the p value is less than 0.05. Results Mean age of the all participants was 42.9±16.5, 64% female and 36% male. Serum aquaporin-4 protein levels were 175.71±13.3 pg/ml and serum glial fibrilliary acidic protein levels were 2.682±0.218 ng/ml in patient with primary brain tumor. Serum aquaporin-4 protein and glial fibrilliary acidic protein levels were statistically significant high (p<0.001) in patient with primary brain tumor. Serum aquaporin-4 protein and glial fibrilliary acidic protein level differences were statistically significant (p<0.05) in benign and malignant tumor. There was no statistically significant correlation between serum aquaporin-4 and glial fibrillary acidic protein level and primary brain tumor grade.

Background: E-cigarettes were created in China in 2003 and smoke is produced by the transfer of liquids contained within e-cigarettes into proteins. The WHO has warned of the health effects of e-cigarettes and recommended limiting sales. Mongolia imported a total of 2047 e-cigarettes from 2019-2020 and 2.6 million e-cigarettes by 2021. That's because in the school environment, retail outlets are trading in e-cigarettes. Objective: Study of pupil and student knowledge of e-cigarette use and its effects among pupils. Research Methods: In our study, we found 421 students representing 1304 high school students at 6 high schools in Esenbulag, Altai Province, with 12 years of training, The study was conducted by a closed questionnard of 38 students representing 161 students from MSUT, 151 students representing 962 students from 1st to 6th grade, and a total of 670 youth and students. The results of the study were developed with 24 SPSS applications. Results of the study: 71.8% of participants in the study are high school students in general education, 5.7% are MSUT students and 22.5% are MNUMS students. It found that 12.5% of students surveyed and 11.7% of teens said they smoked e-cigarettes, compared with 11% of teens and students who occasionally smoked e-cigarettes. 47-73% of teens and students who smoke began smoking starting in the 10th to 11th grade, with 21.3-45.5% of the factors affecting e-cigarette use attracting friends, 9.5-13.4% responded that they were household smokers, 6.2-18.1% said they were interested in making others look attractive, while 42.5-62.4% said they knew about the harmful effects of e-cigarettes and 46-51.7% were trying to stop e-cigarettes. A study of the source of information on the effects of e-cigarettes found that 40.8-47.9% of people get it from social networks and 14.1-20.4% from TV shows. Conclusions While the vast majority of students and students know about the effects of e-cigarettes, 56.6% of the participants in the overall study smoke e-cigarettes. Information about the harmful effects of e-cigarettes is being taken from social networks by the vast majority of teenagers and young people on campus. Friends have the highest percentage of exposure to e-cigarettes because of the many factors affecting e-cigarettes.

Background: The first confirmed case of COVID-19 in Mongolia was reported on November 11, 2020. In response, the government imposed a nationwide lockdown, which significantly impacted the population’s mental health. Heightened levels of stress, anxiety, loneliness, and depression during the pandemic altered individuals’ psychological stability and behavior. Personality traits—defined as relatively stable patterns of emotion, cognition, and behavior—play a key role in stress responses and emotional regulation under pressure. Emerging evidence suggests that these psychological factors may influence the immune system’s responsiveness, including vaccine-induced antibody production. Aim: To evaluate the association between post-vaccination antibody responses and personality types following two doses of COVID-19 vaccines. Materials and Methods: A total of 738 participants who received two doses of COVID-19 vaccines (AstraZeneca ChAdOx1, n=29; Pfizer-BioNTech, n=119; Sinopharm BBIBP, n=590) and had no prior SARS-CoV-2 infection were enrolled. Serum samples were collected 21–28 days after the second dose, and SARS-CoV-2 RBD (S) IgG antibodies were measured using ELISA (Proteintech Inc., USA). Personality types were assessed using a 56-item temperament questionnaire developed by A. Belov, categorizing individuals into classical temperament types (choleric, phlegmatic, sanguine, melancholic). Logistic regression and ROC analysis were used to examine associations between personality types and antibody response. Results: The presence of an antibody response was significantly higher among individuals with a melancholic tempera ment, and significantly lower among those with a phlegmatic temperament. Furthermore, antibody titers were higher in participants with melancholic and sanguine temperaments and lower in those with a phlegmatic type. Conclusions 1. During the early period following the second dose of COVID-19 vaccination, the antibody response was higher in individuals with a pure melancholic temperament, while it was lower in those with a phlegmatic temperament. 2. After the second dose of the Sinopharm BBIBP COVID-19 vaccine, antibody titers were higher in individuals with pure melancholic and sanguine temperaments, and lower in those with a phlegmatic temperament.