Introduction:When a central nervous system disorder (meningitis, encephalitis, hemorrhage, leukemia infltration and other neoplasma) is present, cerebrospinal fluid (CSF) shows various changes that reflected the condition. Therefore it is essential to test CSF. Different types of CSF tests include cell count; cell differentiation; chemistry; immunology; microbiology and molecular biology. CSF cell count and cell differentiation in particular, are crucial in differentiating diagnosing various CNS disorder needing immediate care and in evaluating the treatment. The patient’s prognosis largely depends on how accurate diagnosis was done and how early treatment was provided. There for CSF test require high precision and accuracy. In Mongolia until now 2st and 3st level hospital using manual method for CSF cell count and cell differentiation test. In this test has 2 actual problems, which is depends on the analytical techniques, skills and sample stability specific problem. But in Japan in 2011 newly designed Sysmex XN Series hematology analyser with body fluid mode (CSF,pleural effusion, peritoneal and synovial fluid). On The First Central Hospital of Mongolia In 2013 frst timeinstalled Sysmex XN-2000 hematology analyser andpossible use of body fluid automatic testing methods.Materials and methods:We evaluated the basic assay performance of the body fluid mode on the automated hematology analyzer XN-2000, which is used for analysis of CSF fluid. We compared between the manual method and XN-2000 analysis for nucleated (WBC), mononuclear (MN) and polymorphonuclear (PMN) cells was also randomly studied using 10 CSF samples of inpatient section our hospital.Results:In CSF samples the coeffcient correlation(r) for WBC/µl, MN%, PMN% were respectively 0.83, 0.95 ба 0.95.Discussion:The correlation for MN%, PMN% were between automate and manual method was good, that is similar to the other researchers. Whereas the correlation for WBC/µl slightly low, this was probably correlation relatively weak or show discrepancies. In introduction inscriptive in analysis accuracy can to affect analytical techniques skills, sample stability and specifc many problems. Therefore scientifc studied and proven ability specifcity, sensitivity, reproducibility, quality, personnel low cost and spend less time, automatically Sysmex XN series hematology analyzer is desirable to domesticate an appropriate level of medical laboratories.

Purpose: Kidney function assessment method is improving gradually. New biomarkers are studied and started using in clinical practice, such as beta 2 microglobulin. Beta 2 microglobulin is improving diagnostic and prognosis in CKD patients. We aimed to assess convenience usage of B2MG alone and B2MG based eGFR in Mongolian patients. Materials and method: We included 116 patients diagnosed with CKD and 55 donors whom with normal kidney function. We collected participant's blood sample by venipuncture in plain vacutainer. Creatinine, urea, cystatin C, B2MG were tested by Roche Cobas C311 equipment in serum. eGFR was calculated by online calculation from NKF. B2MG based eGFR was calculated by eGFR=133*B2M^-0.852 Result: Assessment of kidney biomarkers and eGFR was significantly correlated in both groups. Measured serum creatinine was 3.37 mg/dl in CKD patients and 0.87 mg/dl in donors. Serum urea was 97.6 mg/dl, 31.1 mg/dl, cystatin C 3.05 mg/L, 1.49mg/L and beta 2 microglobulin 10.65 mg/L, 2.43 mg/L respectively. Estimated GFR was 21.5-28.4 ml/min/1.73m2 in CKD patients and 47.7-103.9 ml/min/1.73m2 in donors. Assessing kidney function by biomarkers (r=0.720-0.918, p<0.05), and eGFR (r=0.495-0.996, p<0.05) were significantly correlated in both groups. Conclusion B2MG can be used in clinical practice in Mongolia. B2MG is optional with creatinine, urea, cystatin C for assessing and improving kidney function.

Purpose: Follow-up examinations in kidney donors is an essential yet necessary process in organ transplantation. In this study, we aimed to evaluate kidney function using biomarkers and biomarker based eGFR in kidney donors within 5 years of organ transplantation. Materials and method: 91 donors enrolled in our study. We measured body weight and blood and urine samples for laboratory tests. eGFR was calculated using 6 estimations. Result: The mean serum creatinine in participants was 0.81±0.22 mg/dL, cystatin C was 1.11±0.19 mg/dL, urea was 31.44±8.02 mg/L. Systolic hypertension in subjects was 130.0±16.5 mmHg while diastolic hypertension was 78.4±10.8 mmHg. In all donors, 15.9% (n=14) had hematuria, 23.6% (n=21) had proteinuria, 24.7% (n=19) had albuminuria. Body weight, creatinine, cystatin C and urea measurements had gradually increased over the years. The average eGFR was 72.9±17.9 to 112.8±34.0 ml/min/1.73m² showing 0.15%-35.22% before donation. Follow – up rate was 28.3-59.2% of total donors.Having health insurance and living far from Ulaanbaatar city influenced follow – up rate. Donor registration data should be updated regularly. Conclusion
1. Serum creatinine, cystatin C, urea was increasing in living kidney donors. Hypertension and microalbuminuria was greater than other donor study results.
2. eGFR decreased 0.15-35.22% in donor. CKD EPI combined equation was best for donor.
3. Health insurance and living far from Ulaanbaatar city were the influencing follow – up rate. Registration data is missing in 25.5%-82.4% of total donors suggesting enhancement in data collection.