Year: 2018
Type: article
Study design: Observational Study
Abstract: Background: Patients with chronic kidney disease (CKD) are prone to develop diseases related to the cardiovascular system owing to the accelerated rate of atherosclerosis due to a multitude of factors, one of them being the characteristic "atherogenic" lipid profile abnormality that they exhibit.Aims and Objectives: To study the pattern and correlation between lipid profile and staging in nondiabetic Chronic Kidney Disease patients.Materials and Methods: A total 100 CKD patients (Case group) were studied and compared with 100 age and sex matched healthy subjects (Control Group) in the Department of Medicine, G.R. Medical College and J.A. Group of Hospitals, Gwalior between February 2014 to November 2015.Detailed history followed by blood urea, serum creatinine, serum albumin, albumin to creatinine Ratio (ACR), albumin excretion ratio (AER) was recorded.Plasma lipids concentration was also measured after a 12-h overnight fast.Results: Male preponderance (56%) was observed.Value of triglyceride (166.3±51.8 vs. 109.9±26.86;p<0.0001 respectively) and VLDL (31.2±12.32 vs. 23.01±5.46;p<0.0001 respectively) were increased in cases as compared to control.HDL (30.44±7.06 vs. 46.98±10.67;p<0.0001 respectively) was lower in cases in comparison to controls.Comparing lipid profile with GFR categories showed that TG, LDL and VLDL were progressively increasing with successive categories while HDL value was progressively decreasing.TG, HDL, LDL and VLDL value were more deranged in A3 category in comparison to A2 while cholesterol value was rather decreased in A3(p >0.05).Negative correlation was obtained between GFR and triglycerides (r=-0.543,p=0.001), total cholesterol (r=-0.275,p=0.001),LDL (r=-0.427,p=0.001) and VLDL (r=-0.476,p=0.001) while positive correlation was recorded with HDL (r=0.268,p=0.001).Conclusion: The high prevalence of lipid abnormalities in CKD may accelerate the progression of CVD and increase the mortality of patients.Hence it is important to test and detect patients at high risk early on and manage accordingly.
Author: Dr Deepankar Lahariya
Institution: Gajara Raja Medical College
Language: English
Subfield: Nephrology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W2802770804