Endocrinology & Metabolic Syndrome
Open Access
ISSN: 2161-1017
+44 1478 350008
ISSN: 2161-1017
+44 1478 350008
Prasidha Raj Neupane
Department of Environment Sciences, Amrit Science Campus, Nepal
Posters & Accepted Abstracts: Endocrinol Metab Syndr
Diabetes mellitus is a metabolic disorder characterized by high blood sugar, insulin resistance, and relative lack of insulin. The aim of this research is to evaluate the relationship between the hematological parameter, renal function test (Urea, Creatinine, Sodium, and Potassium) along with blood glucose level in type 2 diabetic patient. This is a cross sectional study conducted in tertiary care hospital, Nuwakot, Nepal, n=50. The diagnosed case of diabetes was included in the research. The test were performed from fully automated analyser, ERBA, XL-200 for Biochemical test and semi automated, Coulter counter for hematological test. The mean age (59.54 �?± 14.77), WBC (9674.00 �?± 4582.87), Hemoglobin (12.44 �?± 3.59) and ESR (28.44 �?± 17.32) were found in our study. We found that increase in blood sugar (Fasting/PP) with onset and duration of diabetes, dietary, environment increases the level of Urea and Creatinine i.e. (r=0.667,p=0.001). Pearson correlation analysis shows positive relation among fasting sugar and potassium (r=0.293, p=0.039). Post Prandial blood Sugar and Potassium (r=0.312, p=0.027), Urea and ESR (r=0.298,p=0.036), Platelets and Urea (r=0.276,p=0.05), Fasting blood sugar and Eosinophil (r=0.304,p=0.03), Potassium and Eosinophil (r=0.33,p=0.01). Result shows that WBC was increased with high neutrophil count whereas hemoglobin, PCV and MCV, MCH, MCHC were decreased. The immunity level of patient was found to be sufficiently decreased with increase in ESR level which shows that activation of natural killer cells,Cytokines and external agents interference in normal physiological process. The findings shows that hyperglycemia is the cause for renal dysfunction and progression of renal failure.Further study is needed to validate the relationship of various parameters in a large size population.
Email: prasidharaj15@gmail.com