Background: Conventional methods for assessing exposure to environmental tobacco smoke rely mainly on questionnaires and biomarkers with short half-lives, such as urinary cotinine. In contrast, oral mucosal pigmentation may represent a visible, non-invasive biomarker of chronic exposure. However, its clinical and policy relevance, as well as its validity for screening purposes, remain insufficiently established. Aim: To summarize the evidence on the association between exposure to environmental tobacco smoke and oral mucosal pigmentation and to assess some confounding factors. Materials and Methods: We synthesized findings from observational studies that examined the association between environmental tobacco smoke exposure and oral mucosal pigmentation across all age groups. International electronic databases, including PubMed, Embase, Web of Science, and Scopus, were searched. Data were extracted on exposure–response relationships, measurement instruments, anatomical distribution of pigmentation, confounding by physiological pigmentation, and biochemical validation. The quality of included studies was assessed using the Mixed Methods Appraisal Tool (MMAT). A narrative synthesis was conducted, focusing on the biological plausibility of the biomarker, standardization of measurement, and its potential implications for screening and tobacco control policy. Results: Thirteen observational studies from seven countries, involving a total of 3,284 participants, met the inclusion criteria. Four studies reported a statistically significant association between duration of exposure and severity of pigmentation, while one cohort study showed that urinary cotinine levels increased with age among children. The Gingival Pigmentation Index and the Dummett Oral Pigmentation Index were the most commonly used assessment tools; however, methodological heterogeneity limited direct comparability across studies. The anterior gingiva was the most frequently affected anatomical site. Only a limited number of studies adequately controlled for physiological pigmentation, and skin color was identified as an important confounding factor. The pooled odds ratio was 2.35; however, the certainty of evidence was low due to the observational nature of the included studies. Conclusion Oral mucosal pigmentation may serve as a potential biomarker of long-term exposure to environmental tobacco smoke. Nevertheless, standardized assessment protocols, adequate control for physiological pigmentation, and validation against “gold-standard” biomarkers are required. If validated, this marker could be used for rapid identification of high-risk groups and incorporated into tobacco control policies.

Background: Passive smoking among children remains a serious public health concern, particularly because children’s ability to avoid household environmental tobacco smoke exposure is limited when parents smoke. In recent years, increasing scholarly attention has been given to oral mucosal pigmentation as a potential clinical sign of long-term passive smoking in children. However, no previous study has synthesized the available evidence on this topic. Aim: This systematic review and meta-analysis aimed to evaluate the association between passive smoking and oral pigmentation in children. Materials and Methods: A systematic search was conducted in international electronic databases, including PubMed, Scopus, Web of Science, and the Cochrane Library, in accordance with PRISMA guidelines. Observational studies assessing the association between passive smoking and oral pigmentation among children aged ≤18 years were included. Methodological quality was assessed using the Mixed Methods Appraisal Tool (MMAT). A random-effects meta-analysis was performed, and pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated. Between-study heterogeneity was assessed using the I² statistic, and the certainty of evidence was evaluated using the GRADE approach. Results: Seven studies involving a total of 1,582 participants met the inclusion criteria. The meta-analysis demonstrated that passive smoking was significantly associated with an increased risk of oral pigmentation in children, with a pooled OR of 2.58 (95% CI, 1.35-4.95; p=0.004). Compared with children without exposure to passive smoking, those exposed to environmental tobacco smoke had an absolute risk increase of 17% (95% CI, 6.3%-23.9%). Subgroup analysis by assessment method showed a consistent effect among studies using the Gingival Pigmentation Index (GPI) (OR, 2.12; 95% CI, 1.58-2.84), whereas studies using the Dummett Oral Pigmentation Index (DOPI) showed a wider confidence interval (OR, 3.26; 95% CI, 0.68-15.54). According to the MMAT assessment, the included studies demonstrated adequate participant selection in 100% of cases, appropriate outcome measurement in 76.9%, and adequate control of confounding factors in 46.2%. Owing to the observational nature of the included studies, moderate heterogeneity, and the potential risk of confounding by physiological pigmentation, the certainty of evidence was rated as low according to GRADE. Conclusion Children exposed to environmental tobacco smoke had a significantly higher likelihood of oral mucosal pigmentation than unexposed children. These findings suggest that screening for oral mucosal pigmentation during pediatric oral examinations may serve as a non-invasive marker of passive smoking exposure and may provide visible clinical evidence to support counseling parents on smoking cessation and smoke-free household environments.

Background: In 1904, Monkeberg was first described about the coronary calcification which is the degenerative change that occurs with aging process, but the last decades many studies have been confirmed that coronary calcification was an active process same as the signaling pathways with bone mineralization. Coronary calcification increases the risk of myocardial infarction during bypass graft surgery and PCI (СМ СN. Shanahan, 1999). Goal: To evaluate Agatston Coronary Artery Calcium score using contrast enhanced CT-Coronary angiography. Objectives:
1. To assess Agatston Coronary Artery Calcium score
2. Age and gender relationship of coronary calcification Materials and Methods: We evaluated total 215 patients who were admitted to the Reference center of Diagnostic Imaging named after R.Purev State Laureate, People’s physician and Honorary Professor of the Third State Central Hospital awarded with the Red banner of the Labor diagnosed with the coronary calcification by contrast enhanced 64 slice CT (Philips Ingenuity CT 64) between 2020 to 2022. Patient’s age was considered into 6 groups and coronary calcification was assessed by Agatston’s score. The result of our study determined by common statistical averages and errors and probabilities of the indicators were determined by Student’s criteria. Result: When evaluating Agatston coronary artery calcium scoring by CT-coronary angiography, 11-400 Agatston score was predominantly in our study with p value of (P<0.001). Considering relationship of age and gender, coronary calcification occurs 42.3% of patients aged 50-69, male and female ratio was 1.7:1. Conclusions
1. We established Agatston coronary calcification 11-400 was occurred in 66.96% of the patients.
2. Coronary calcification predominantly occurred in 65% patients aged 50-69 years.

Background: Chronic kidney disease (CKD) is a global health problem. In Mongolia, urine is analyzed by methods of urine chemistry and urine sediment to diagnose kidney disease. The currently automated urine sediment analyzers have been widely used in clinical laboratories and are replacing traditional manual microscopic examination. Nonetheless, visual microscopic examination is still required in many cases. When chemical and sediment analyzers are used together, urine sediment could be confirmed under a microscope, if the results are inconsistent. Sternheimer-Malbin stain has contained a variety of dyes that help to distinguish particles (white blood cells, red blood cells, epithelial cells, casts, crystals, fatty drops, bacteria, yeast, trichomonas) in urine sediment, improve the differentiation between cell nuclei and cytoplasm, and provide more information about cell shape and image.
Therefore, the low-cost method that can be used on a daily basis.Although there are more than 4,500 laboratories in Mongolia that need to perform urinalysis, which is an important part of clinical laboratories, less than 10 percent of hospitals have fully automated sediment analyzers. For this reason, one of the most important issues in the clinical laboratories, the search for low-cost and useful methods for the analysis of urine sediments in order to provide access to services to the public. Our aim was the comparison of methods of the microscopic examination with Shternheimer-Malbin stain and fully automated UF-5000 analyzer for urine sediment. Methods: There was a comparative study, people who served the Clinical Central Laboratory of Mongolia-Japan Hospital received permission to participate in this research. One hundred five fresh, first morning, clean catch mid-stream urine samples were collected in accordance with standard operating instructions for urinalysis, between November 2020 and May 2021. Sternheimer-Malbin (SM) staining and direct microscopy observation methods with Fuchs-Rosenthal counting chamber were used to red blood cells (RBC), white blood cells (WBC) and epithelial cells (EC) in urine samples. The agreements between the automated urine analyzer and microscopic methods were calculated using Cohen’s kappa (k) with 95% confidence intervals (CI). Results: A total of 105 samples were collected and analysed in this study. The average age was 46.97±15.0and gender by 18% (n=19)were male and 82% (n=86) were female.
Compared to traditional manual methods and automated analyzer, the agreement within the same grade was 99/105 (94.3%) for erythrocytes, 96/105 (91.4%) for leukocytes, 92/105 (87.6%) for epithelial cells. And compared to Sternheimer-Malbin staining microscopy observation and automated analyzer, the agreement within the same grade was 98/105 (93.3%) for erythrocytes, 99/105 (94.3%) for leukocytes, 96/105 (91.4%) for epithelial cells. Agreement between traditional manual method and automated analyzer was higher than 85% and between Sternheimer-Malbin staining microscopy observation and automated analyzer was higher than 90%. The concordance between traditional manual method and automated analyzer was substantial (k=0.74, p<0.001; k=0.79, p<0.001) for RBC and EC, almost perfect (k=0.92, p<0.001) for WBC. Whereas the concordance between SternheimerMalbin staining microscopy observation and automated analyzer was substantial (k=0.70, p<0.001) for RBC, almost perfect (k=0.94, p<0.001; k=0.89, p<0.001) for WBC and EC. Comparison of Sysmex UF-5000 with microscopic particle counting methods resulted specificity was 98.9/100% for RBC, sensitivity was 97.7/95.3% and negative predictive value was 98.4/96.8% for WBC, sensitivity was 87.5/68.8% and negative predictive value was 97.8/94.7% for EC. Conclusion The Cohen’s k analysis result of comparisons between the SternheimerMalbin staining microscopic method and automated urine sediment analyzer showed significant almost perfect agreement (k=0.70-0.94, p<0.001).
The sensitivity and negative predictive value were high for both of WBC and EC were determined by Sternheimer-Malbin (SM) staining microscopy observation method. Results indicate the ability of a test to correctly identify those with the true positive and individual with a negative test result is truly negative better than comparison of Sysmex UF-5000 with traditional manual microscopic method assessment.

Introduction: The traditional microscopic method is to visually count the elements in the urine, but it is difficult to distinguish between the cells because they are not stained. Sternheimer Malbin staining, on the other hand, contains a variety of dyes that help to distinguish elements in urine sediment, improve the differentiation between cell nuclei and cytoplasm, provide more information about cell shape and image, and make it easier to differentiate kidney disease. Objective: To study the results of the reading of a fully automatic urine sediment analyzer of compared with the Sternheimer Malbin stained bright field microscope method. Research materials and methods: In this study included 150 people who served the MJTH of the MNUMS received permission to participate in the research. The urine sample collected in accordance with the standard operating instructions was counted by a fully automated analyzer and stained with Sternheimer Malbin dye and counted red cells (RBC), white blood cells (WBC), epithelial cells (EC), and renal epithelium (RTEC) under a microscope using a Fuchs-Rosenthal chamber. Results: 23.3% (n=35) of the respondents were male, 76.6% (n=115) were female, and the average age was 44.3±11.6. There 16.6% (25)/9.3% (14) of the RBCs were counted in excess of the reference volume when analyzed under an microscope stained with an automated urine sediment analyzer and Sternheimer-Malbin dye. For each WBC method, 45.4% (68)/41 (61)% and EC 24.7% (37)/23.3% (35) were counted above the reference volume. 90% (135)/32% (48) of the total samples were counted in excess of the RTEC reference volume. Comparing the performance of the automatic urine sediment analyzer with the light microscope method, the sensitivity and specificity were RBC-99.8%/99.1%, WBC-99.3%/99.6%, EC-99.7%/99.2, and RTEC-99.1%/99.2%. False-positive and false-negative results were rated for each RBC-99.9%/99.1%, WBC-99.3%/99.6%, EC 99.8%/99.2%, and RTEC-99.7%/99.9%, respectively. The positive likelihood ratio was RBC, WBC, RTEC 1.0, or the test was useless, while the negative likelihood ratio was RBC was very different, WBC was slightly different, EC was very different, and RTEC was very different. Positive and negative predictive value indicators RBC-99.3%/99.4%, WBC-99.4%/99.4%, EC-99.4%/99.5, RTEC-99.2%/99.1%, optimality for RBC, WBC, EC 99.4%, RTEC -99.1%. Conclusion
1. The results of an automated urine sediment analyzer and a bright field microscope stained by Sternheimer Malbin were similar for red blood cells, white blood cells, and epithelial cells, but different for renal tubular epithelial cells.
2. The resuls UF-5000 analyzer and bright field microscope analysis using Sternheimer Malbin dye were comparable.

The anatomy and diseases of the coronary artery, and number or death toll in relation to the coronary artery disease in Mongolia, CT and HRCT the pathologic physiology and risk factors of atherosclerotic calcifications of the coronary artery, the comparison between CT, HRCT and Coronary angiography of coronary arteries of the heart, the selection of a patiant, the preparation of a patient, and the steps of examination that how the patient going through ,the advantages and the disadvantages of CT coronary angiography, the limitation of use of HRCT, the indications and the contraindications to HRCT, the method and devices to reveal a calcification of the coronary artery, the AGATSTON score of calcification and its radiologic imaging, the index of calcification of the coronary artery, a guideline devoted to the patients who have coronary artery calcifications, an amount of 50 references in relation to unstable atherosclerotic plaques radiologic signs on the HRCT were used .

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.

Introduction: Pancreatic cancer in young patients is usually correlated with chronic alcohol consumption and hereditary factor. Chronic pancreatitis, pancreatic trauma, pancreatic cyst, alcoholism, and diabetes mellitus are the most clearly established etiological factors (T.Y Flanders., W.S Foulkes., 1996). The cancer was located to the pancreatic head in 75% to the body in 15-20% and to the tail in 5-10% of cases (A.E Richard., 2005). Goal: Determination of the US signs in pancreatic cancer and establishment standard (control) US diagnostic criteria. Objectives: 1. To reveal direct and indirect US signs of pancreatic cancer. 2. To establish standardized US diagnostic criteria. Materials and Methods: A prospective study was carried out in 35 patients with pancreatic cancer in a 4 years period between 2006-2010 (Shastin Central Hospital, Achtan Clinical Hospital). To each patient has being filled special investigation chart. Diagnosis was confirmed on the result of physical examination, laboratory investigation, abdominal conventional radiography, upper gastrointestinal contrast radiography, CT, MRI, ERCP and biopsy. The results of the measurements were compared with the standardized control evaluation of Mongolian people (Ts.Badamsed.B.Tserendash). Results: Our sample represents US signs in 35 patients with pancreatic cancer. On the basis of our study US sign were divided into two categories: direct and indirect signs. Direct signs: a) irregular shape, b) irregular tumour edge, c) hypodensity, d) tumour size more than 2.1cm, e) different location. Indirect signs: a) CBD distends, b) gallbladder distends, c) intra hepatic bile duct distend, d) pancreatic pseudo cyst, e) near-aortic limp node enlargement, f) splenomegaly. We consider that the upper mentioned US abnormality can be as control standard criteria for the US diagnosis of the pancreatic tumour. According to the study of V.N.Demidov and G.P.Sidorov (1987), the pancreatic cancer is located to head in 50-80%. In our series it was about 45.7%± 8.4. Irregular tumour shape in 60.0%±8.3, tumour hypodensity 80.0%±7.2, irregular tumour edge 68.6%±7.8, tumour clear definition 71.4%±7.6 which are the same with N.M. Mukharllyamov (1987). Conclusions: 1. Were described direct and indirect US diagnostic signs in pancreatic cancer 2. The tumor location, shape, size, edge, consistency, intra and extra hepatic bile duct distend, gallbladder distend, near-aortic limp node enlargement are the basic control criteria for the diagnosis of pancreatic cancer.

Introduction: Thyroid gland behind the sternum near the base of the neck, and it is one of the gland behind the sternum at cartilage southern centre of middle mediastinum and at back of superior middle mediastinum rarely [ R.E Gabunia.,E.K.Kolesnicova.,L.B.Tumanov.,1983; J.O.Shepard.,1991; S.K.Wernecke 1991; N. B.Litvakovskaya.,1994;V.P.Harchenko.,P.M.Kotlyarov.,R.V.Kertanov.,Z.S Tsallagova., 2002]. Goal: The research thesis aims to make diagnosing and identifying the nature and symptoms of thyroid gland behind the sternum by roentgen, US and computer tomography and developing the criterion characteristics of diagnostics. The following objectives will be resolved in order to implement the goal of research thesis: 1. To identify the symptoms of thyroid gland behind the sternum which is obtained by the roentgen? 2. To identify the symptoms of thyroid gland behind the sternum by diagnostics of US and computer tomography 3. Developing the criterion characteristics of thyroid gland behind the sternum by diagnostics of US, computer tomography and the roentgen Materials and Methods: Made conclusion at symptoms identified by diagnostics of US, computer tomography and the roentgen at 12 patients who were diagnosed with thyroid gland behind the sternum through 2005-2011. The diagnostics of thyroid gland behind the sternum was approved by the surgical operation and biopsy analysis which is a medical test involving the removal of tissues for examination. It is the medical removal of tissue from a living subject to determine the presence or extent of a disease under a microscope by a pathologist. Results: The symptoms of 12 patients who were diagnosed with thyroid gland behind the sternum were identified by diagnostics of US, computer tomography and the roentgen. From the symptoms defined by roentgen images of thyroid gland behind the sternum, located in western upper south part of middle mediastinum (P<0.001), oval shaped thyroid (P<0.05), calcification osteoporosis (P<0.01), bronchus was pushed to healthy side (P<0.05), changes of middle mediastinumwas moved upward when cough, drink and make Valsalve’s test /a method for testing the patency of the Eustachian tubes. With mouth and nose kept tightly closed, the patient makes a forced expiratory effort (P<0.01) therefore there is true statistical probability. Conclusions: 1. During the thyroid gland behind the sternum, the additional changes are identified at thyroid gland behind the sternum, located in western upper south part of middle mediastinumat 75.0%, the mentioned changes are moved upward when made cough, drink and make Valsalve’s test by roentgen, lost similarity of structure and pushed the bronchus to healthy side at 66.7%, there is dominant symptoms by roentgen that gullet defined by barium substance was pushed to healthy side at 58.3%. 2. By the ultrasound analysis, during the thyroid gland behind the sternum, the changes are relevant to thyroid and vascularization at 100% , to capsule at 75% and osteoporosis at 66.7%. 3. Changes are relevant to thyroid and vascularization at 100% or oval shape more compactness was identified by the contrast substance , pushed the bronchus to healthy side at 66.7%, there is dominant symptoms by roentgen that bronchus was pushed to healthy side, 4. We established that there is thyroid gland behind the sternum. status of the additional changes of middle mediastinum , compactness, structure, capsule, size, shape of the thyroid gland behind the sternum, additional changes of middle mediastinum changes the location of the nearest organs due to thyroid, so identified the main criterions to diagnose and to identify the thyroid gland behind the sternum by roentgen, US and computer tomography.