Risk factors for renal impairment after liver transplantation in Mongolia: a retrospective single-center study.

Background: Renal impairment (RI) is a frequent complication of liver cirrhosis and is associated with increased mortality and morbidity. Liver transplantation (LT) serves as an effective treatment method for patients with cirrhosis who have impaired renal function. However, renal function often declines after LT, influenced by various factors. This study aimed to investigate the factors contributing to RI following LT in our cases. Methods: We analyzed the demographic data, preoperative and perioperative parameters, and postoperative outcomes of patients who underwent LT at the First Central Hospital of Mongolia from September 2011 to December 2022. Renal function was assessed by measuring the glomerular filtration rate using the Cockcroft-Gault creatinine clearance formula pretransplantation and at 24 hours, 72 hours, 7 days, 14 days, and 28 days post-LT. Results: Several factors increased the risk of RI among recipients. These included female sex (odds ratio [OR], 3.06; 95% confidence interval [CI], 1.58-5.91), Child-Turcotte-Pugh (CTP) scores of B and C (OR, 4.23; 95% CI, 0.92-19.41 and OR, 7.68; 95% CI, 1.67-35.30, respectively), preoperative continuous renal replacement therapy (CRRT; OR, 5.86; 95% CI, 1.1-31.21), and a high graft-to-recipient weight ratio (GRWR; OR, 3.45; 95% CI, 1.23-9.63). Additionally, the survival rates for recipients with RI post-LT were 93.4% at 1 year and 78.1% at 3 years. Conclusions: Female sex, a high CTP score, preoperative CRRT, and high GRWR were identified as risk factors for RI after LT in Mongolia.

Integrating quantitative and qualitative approaches to assess wintertime illness-related absenteeism and its direct and indirect costs among the private sector in Ulaanbaatar.

Causes for employee absenteeism vary. The commonest cause of work absenteeism is "illness-related." Mongolia's capital city, Ulaanbaatar, experiences high employee absenteeism during the winter than during other seasons due to the combination of extreme cold and extreme air pollution. We identified direct and indirect costs of absenteeism attributed to air pollution among private-sector employees in Ulaanbaatar. Using a purposive sampling design, we obtained questionnaire data for 1,330 employees working for private-sector companies spanning six economic sectors. We conducted 26 employee focus groups and 20 individual employer in-depth interviews. We used both quantitative and qualitative instruments to characterize the direct and indirect costs of absence due to illnesses attributed to severe air pollution during wintertime. Female employees and employees with a young child at home were more likely to be absent. Respiratory diseases accounted for the majority of reported air pollution-related illnesses. All participants perceived that air pollution adversely affected their health. Individual employee direct costs related to absence totaled 875,000 MNT ($307.10) for an average of three instances of three-day illness-related absences during the winter. This sum included diagnostic and doctor visit-related, medication costs and hospitalization costs. Non-healthcare-related direct cost (transportation) per absence was 50,000₮ ($17.60). Individual indirect costs included the value of lost wages for the typical 3-day absence, amounting to 120,000₮ ($42.10). These total costs to employees, therefore, may amount to as much as 10% of annual income. The majority of sick absences were unpaid. Overall, the cost of wintertime absences is substantial and fell disproportionately on female employees with young children.

Skin aging risk factors: A nationwide population study in Mongolia risk factors of skin aging.

The world population is aging and no country is immune to the consequences. We are not aware of any country-specific skin aging risk factors data for the Mongolian people. Thus, we aimed to study the risk factors associated with skin aging in the Mongolian population. A population-based cross-sectional study of 2720 study participants 18 years of age and older was performed evaluating the severity of skin aging based on cutaneous microtopography. Questionnaire data and skin physiological measurements were obtained. The odds ratios for skin aging grades associated with risk factors were estimated using ordinal logistic regression. Study participant's mean age was 45 years, ranging from 18 to 87. After adjustment for known risk factors, skin aging was associated with demographic risk factors such as increasing age (aOR = 1.19, 95% CI 1.18-1.20), living in an urban area (aOR = 1.31, 95% CI 1.12-1.55) and lifestyle factors including being a smoker (aOR = 1.32, 95% CI 1.09-1.61), having a higher body mass index (aOR = 1.04, 95% CI 1.02-1.06) and higher levels of sun exposure time (aOR = 1.03, 95% CI 1.00-1.06) were significantly associated with higher skin aging grades. Having dry (aOR = 1.94, 95% CI 1.45-2.59) and combination skin (aOR = 1.62, 95% CI 1.22-2.16) types were also independent risk factors associated with skin aging. Having very low skin surface moisture at the T-zone (aOR = 2.10, 95% CI 1.42-3.11) was significantly related to skin aging. Older age, urban living and toxic working conditions were independent demographic risk factors related to skin aging. Smoking, higher BMI, greater levels of sun exposure were significant lifestyle risk factors. Having a skin type other than normal was a physiologic risk factor for skin aging.