Middle aortic coarctation (MAC), a variantof middle aortic syndrome, is a rare entity withonly ~200 cases described in the literature.It classically presents with early onset andrefractory hypertension, abdominal angina,and lower extremity claudication(1).A 30 years-old woman, Her systolic bloodpressure measures 180-200mm Hg and diastolicpressures measure 70mm Hg in both arms,lower extremity pressures are approximately70mm Hg. Her bilateral femoral pulses andpedal pulses are nonpalpable, but present onDoppler exam and CT-Angiography.We prepared diagnostic of CT-Angiographyand Aortography before operation. Wesuccessful operated abdominal aorticcoarctation by “Silver graft” Aortoaortic bypasson the middle aortic, left nephrectomy.She was discharged home on postoperativeday 7. Post operation is good. We werecontrolled CT-Angiography.

Background: According to the World Health Organization (WHO), air pollution was responsible for 8.1 million deaths globally in 2021, making it the second leading cause of death, including among children under 5 years old. Air pollution is also linked to a range of diseases such as stroke, chronic obstructive pulmonary disease, lung cancer, and asthma. In Ulaanbaatar, the capital of Mongolia, the average daily concentration of PM2.5 particles in the air reaches 750 μg/m3 during winter, which is 50 times higher than the WHO’s recommendation, making it one of the most polluted cities in the world. Air pollution continues to pose a significant public health challenge not only in Mongolia but also in many countries globally. However, there is a lack of comprehensive research and studies that summarize and review the existing work in this field. Aim: To summarize and review thematic works on air pollution conducted by researchers from Mongolian universities. Materials and Methods: A systematic review and analysis were performed on thematic works by researchers who completed their master’s and doctoral degrees in the field of air pollution between 2011 and 2024. Results: In terms of the type of master’s and doctoral dissertations, 76.0% (n=19) were master’s theses and 24.0% (n=6) were doctoral dissertations. Among the total number of works included in the study, 36.0% (n=9) focused on the health effects of air pollution, while 64.0% (n=16) addressed other related areas. Some studies indicated that PM2.5 levels in the air between 2011 and 2024 were 1-6 times higher than the Mongolian standard, with the highest levels observed from November to February and the lowest in July. Additionally, some studies suggested a reduction in PM2.5 levels following the introduction of improved fuel in Ulaanbaatar. Air pollution was found to increase the risk of respiratory and cardiovascular diseases, as well as cancer, and to contribute to reduced fetal weight. Conclusion When examining thematic studies on air pollution conducted by state-owned universities in Mongolia, the primary focus has been on the composition, concentration, and health impacts of air pollution. Going forward, research aimed at mitigating air pollution should be driven by collaborative efforts and leadership from universities, with the results being effectively communicated to policymakers.

Background: It is stated in the Government Programme of 2016-2020 that public servants, including health care workers, shall be given a gradually increased salary based on their skill, dexterity, workload, and productivity, and such increase started from 2018 as planned. In the health sector of our country, regarding demand and regulation of the programme, the change shall be made that the system for median salary of physicians and overall staff employed at hospitals gets even constructive, and the required human resource for the sector shall be prepared. Thus, inferring from these claims, median salary, real wage, and socioeconomic condition are in critical need for further evaluation. Objective: To examine the current socio-economic condition of health care workers, and to study the influencing factors at play. Methods: In this study, we used quantitative and qualitative methods. In the survey, we involved 655 health care workers from 6 family health centers, 2 district hospitals, 3 health centers (district-based) in Songinokhairkhan, Sukhbaatar, and Baganuur districts; and Provincial hospital, regional diagnosis and health center, 16 soum health centers from Khovd, Uvs, Arkhangai, Bulgan, Khentii, Dornod, Umnugovi, and Dornogovi provinces, along with 3 National specialized health centers and 1 National central hospital. As for data gathering for the qualitative analysis, 30 focus group interviews and 47 key informant interviews were conducted for the purpose of examining socioeconomic condition, real wage sufficiency of health care workers. Results: Average household income of study participants was 1,880,269 tugrik, the real wage was 1,073,065 tugrik, and the overall household is seen to be composed of 2 different sources on average, namely, self-wage and the income coming from family members or supplement of Child Money Programme. It has come to notice that 19.5% of the participants have lower than average living standard, 89.2% have 2 different loans (mortgage, auto loan or mobile application based loans). Material deprivation index is seen to be 2.73, hence deemed as insufficient. In order to increase the real wage of those workers, it shall be taken into consideration that the basic salary is low, and some financial supplements need to be given. Furthermore, the performance based funding system of health sector is seen to be in need of improvement. Conclusion Real wage of the health care workers is, thus, insufficient. The fact that one in every five workers in this sector have lower than average living standard, and the material deprivation index is 2.73 implying that the financial lives of health care workers are immensely fragile.

Background: Psychosocial work environment predicts a range of health risks including sickness absence, poor self rated health, and depression. Objective: To identify association between psychosocial work environment and health related indicators among health care workers in Mongolia Methods: A cross-sectional study was conducted between January and April, 2023. 655 health care workers from Ulaanbaatar city and 4 aimags were involved. Psychosocial work environment was assessed by the Effort-reward imbalance model. As for the health related indicators, we used the SF-12 questionnaire and sickness absence report. Descriptive and inferential statistical analyses were performed.
The study was approved by Medical Ethics Review Committee on January 18, 2023 (#23/02). Results: 1 in every 2 health care workers experience effort-reward imbalance at work and rated their health as poor. In average, 32.7 percent of the study participants took 16.6 sick days for the last 1 year. The study identified poor physical (44.7±8.6) and mental health functioning (42.1±9.8) among study participants. Physical functioning was lower among nurses whereas mental health functioning was lower among physicians. Conclusion Poor health related indicators among health care workers are associated with adverse psychosocial work environment such as effort-reward imbalance and high effort and low reward

Introduction : In the last years other country scientists told about not only determine infant weights, need to interest correlation between maternal weight, height and infant weight. In our country few research articles posted about anthropometry of obstetrics and gynecology. Our study aim is determine maternal weight, infant weight, placenta weight and assess factors affecting roles on maternal story of “Amgalan” Maternity Hospital in 2014-2015. Goal: The current study aimed at assessing maternal weight, infant weight, placenta weight and evaluating the effect of factors leading to it. Materials and Methods: The data was already collected from “Amgalan” Maternity Hospital using maternal history and record and it was collected measuring general physical characteristics such as body weight and height, infant weight, placenta weight and body circumferences. We used retrospective method and collected statistical data was analyzed using SPSS 21.0 software. Results: Of total 964 study participants aged 18-45. The average age of participants was 29.6 ± 5.8 years old and 49.7% (n=479) was working during pregnancy, 45.7% (n=441) hadn’t works, 4.6% (n=44) was student. The average weight of mothers was 75.4±11.5, weight of infants was 3439.5±456, weight of placenta was 685±129. The following factors affected maternal and infant weights: lower education, working, early and late pregnancy complication. Maternal weight had a low direct correlation with infant weight (r=0.267, p<0.01) and placenta weight (r=0.208, p<0.01). In our study maternal height had a low direct correlation with infant weight(r=0.173, p<0.01) and infant weight had a moderate direct correlation with placenta weight (r=0.376, p<0.01). Conclusions
1. The average maternal weight was 75.4±11.5, infant weight was 3539.5±456, placenta weight was 685±129.
2. The following factors affected maternal and infant weights: lower education, working status, early and late pregnancy complications.
3. Maternal weight had a little direct correlation with infant weight (r=0.267, p<0.01) and placenta weight (r=0.208, p<0.01).

Background: According to the World Health Organization (WHO), 99 percent of the world’s population is exposed to air that exceeds WHO recommendations, with low- and middle-income countries being the most affected. The main causes of indoor air pollution include human activities such as fuel burning, cooking, cleaning, and smoking; housing characteristics such as walls, floors, ceilings, and furniture; ventilation; and outdoor air pollution. Aim : To assess PM1 and PM10 concentrations in 120 selected households in Ulaanbaatar. Materials and Methods : Indoor PM1 and PM10 concentrations were measured using Purple Air real-time sensors in randomly selected Ulaanbaatar households between October 2023 and January 2024. Supplementary data on factors affecting the PM2.5 concentration were collected via questionnaires. Each measurement was taken in 10-minute intervals, yielding 51,309 data for analysis. Results : PM1 concentrations were measured at 55.5±53.2 μg/m³ in gers, 54.9 ± 46.7 μg/m³ in houses, and 31.6±40.1 μg//m³ in apartments (p<0.001) and measuring PM10 concentrations were 110.6±108.6 μg/m³ in gers, 110.6±96.7 μg/m³ in houses, and 62.2±83.0 μg/m³ in apartments (p<0.001) When considering the concentration of PM1, PM10 by heating type, PM1 was 55.3±50.1 μg/m³ and PM10 was 110.6±103.0 μg/m³ in households with stoves and furnaces, and PM1 was 31.6±40.1 μg/m³ and PM10 was 62.2±83.0 μg/m³ in households connected to the central heating system (p<0.001). Regarding the months of measurement, the highest concentration was observed in December 2023, at 77.1±94.1 μg/m³. The highest concentrations for both PM₁ and PM₁₀ were recorded in January 2024, at PM₁: 64.8±55.1 μg/m³, PM₁₀: 131.4±116.0 μg/m³. Conclusion 1. Indoor PM10 concentrations in residential environments in Ulaanbaatar city were within the MNS4585:2016 Air Quality Standard, however, it was exceeded the WHO air quality guidelines, indicating an excessive risk of increasing morbidity and mortality among the population. 2. Indoor PM1 and PM10 concentrations in residential environments in Ulaanbaatar varies depending on location, type of housing, type of heating, and month of measurement.