Presentation cgn for the presenting.pptx

Presentation cgn for the presenting.pptx

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  Project title :Study of lipid profile in chronic kidney disease among diabetic and non- diabetic patients : a comparative study Participant name : Dhonde Vishwas Upendra , 3rd year Mbbs student, SMCRI ( Cognitia id : cgn2k25150 ) Vastrad Satyam Sangamnath , 3rd year Mbbs student , SMCRI ( Cognitia id : cgn2k25153 )
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  INTRODUCTION: Chronic kidney disease(CKD) is a worldwide concern with a high economic burden. It is estimated that 10% to 15% of the general population has CKD, and its prevalence increases with age ¹ . • Dyslipidemia is associated with progression of CKD leading to increased risk of cardiovascular diseases (CVD) and mortality ². Dyslipidemia in CKD accelerates the progression of cardiovascular disease and increased mortality ³ . • Both traditional and nontraditional risk factors and hypertriglyceridemia as an independent risk factor predict coronary heart disease in CKD . ⁴ • Several studies have observed lipid profile abnormalities in non-diabetic CKD patients and showed a hidden pro atherogenic lipoprotein profile . ⁵
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  AIMS In current studywe aimed to know the kidney function changes , lipid profile changes with respect to eGFR in earlier stage of chronic kidney disease ( grade 2/ grade 3 ) in diabetic patients in comparison with non – diabetic patients. • To determine the concentration of serum levels of lipid profile , urea , creatinine , uric acid and urine excretion of protein and creatinine in the group 1 and 2 of the study group. • To calculate the eGFR , lipid ratios , urine protein creatinine ratio in the group 1 and group 2 of the study group. • To correlate lipid profile , lipid ratios , urine protein creatinine ratio with eGFR between the two study groups. OBJECTIVES
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  METHODOLOGY • A crosssectional observational study was conducted from January to March 2025, 130 participants aged 30 to 70 years. Group 1 (n=65) included non diabetic patients with CKD grade 2/3. • The following paticipants were excluded : end - stage renal disease , individuals on hypolipidemic medications , on dialysis , septicemia. • Group 2 (n=65) comprised non diabetic patients with CKD grade 2/3. • Serum lipid profile (total cholesterol , triglyceride , LDL , HDL , VLDL) , urea , creatinine , uric acid and urine protein creatinine ratio were matched and eGFR was calculated. • Statistical analysis was performed using SPSS v16 , with p< 0.05 considered statistically significant.
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  RESULTS Paramete rs Group 1 : DCKD Group2 : NDCKD P- value N Mean SD N Mean SD RBS (mg/dl ) 65 198.68 52.568 65 91.55 9.344 0.00001 Hba1c % 65 8.022 0.7203 65 5.202 0.668 0.00001 Blood urea 65 37.38 5.556 65 33.48 5.585 0.00001 Serum creatinine 65 1.823 0.277 65 1.370 0.1903 0.00001 eGFR 65 39.45 8.078 65 56.68 11.845 0.00001 Total cholesterol 65 194.80 28.645 65 177.92 18.536 0.00001 Triglyceride s 65 167.55 28.952 65 152.88 18.007 0.001
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  RESULTS Correlation of eGFRwith lipid profile in group 1 (n= 65) and group 2 ( n= 65 ) eGFR Total cholesterol Triglyceride s VLDL HDL LDL Group 1 ( n= 65 ) Pearson correlation - .068 .087 .087 .020 -.076 Sig. (2- tailed) .591 .493 .493 .875 .550 eGFR Pearson Correlation - .249 - .365 -.365 -.010 -.188 Group 2 ( n = 65 ) Sig. (2- tailed ) .046 .003 .003 .938 .133
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  DISCUSSION
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  CONCLUSION • From theabove study , we have been observe that change in kidney function with change in kidney function with respect to eGFR decline in DCKD ( group 1 ) in comparison to non – diabetic chronic kidney disease (group 2) due to the effect of uncontrolled diabetes mellitus and dyslipidemia. • We also observed that eGFR decline in group 2 is mainly due to increase in lipid parameters like total cholesterol, triglyceride , LDL levels which is indicated by negative correlation of eGFR with above lipid parameters.
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  LIMITATIONS AND FUTURESCOPE • If the above study is carried out prospectively in large number of groups might confirm the association of lipid profile parameters in kidney function decline at earlier stage of chronic kidney disease among diabetic and non diabetic kidney disease.
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  REFERENCES 1. Csaba P.Kovesdy1, Epidemiology of chronic kidney disease: an update ∗ 2022.Kidney Int Suppl (2011). 2022 Apr; 12(1): 7–11.Published online 2022 Mar18. doi: 10.1016/j.kisu.2021.11. 2. Rajapurkar M, Dabhi M. Burden of disease – prevalence and incidence of renal disease in India. Clin Nephrol. 2011;74:9-12. 3. Ganta V, Yalamanchi RP, KC M, Sahu B, Raghvendar K, Anusha G, et al. A study of lipid profile in non-diabetic chronic kidney disease. Int J Adv Med. 2016;3(4):965-70. 4. Muntner P, He J, Astor BC, Folsom AR, Coresh J. Traditional and nontraditional risk factors predict coronary heart disease in chronic kidney disease: results from the atherosclerosis risk in communities study. J Am Soc Nephrol. 2005;16(2):529-38. 5. Harchaoui KEL, Visser ME, Kastelein JJP, Stroes ES, Thie GMD. Triglycerides and cardiovascular risk. Curr Cardiol Rev. 2009;5:216-22.
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  ACKNOWLEDGEMENT • The projectwas funded under RGUHS Short term studentship 2024-25. • Guide for the project : Dr. Raghunandana R , Professor , Department of Biochemistry, SMCRI. • Department of Biochemistry • Siddaganga medical College and research institute. • Siddaganga hospital.
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  THANK YOU