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Correlation of Cystatin C- and Creatinine-Based Renal Equations With Lipid Parameters in Chronic Kidney Disease: A
Smita H Vasava1, Roshni G Sadaria2, Devanshi P Gosai3
1Department of Biochemistry, Pramukhswami Medical College, Bhaikaka University, Anand, IND.
Insights
This study found weak, non-significant correlations between estimated glomerular filtration rate (eGFR) and lipid parameters in chronic kidney disease (CKD) patients. Cystatin C-based eGFR showed a slightly stronger association with lipids than creatinine-based eGFR.
Area of Science:
- Nephrology
- Cardiology
- Biochemistry
Background:
- Dyslipidemia is a major cardiovascular risk factor in chronic kidney disease (CKD).
- Early identification of cardiovascular risk in CKD patients is crucial.
- Cystatin C is a sensitive biomarker for estimating glomerular filtration rate (GFR).
Purpose of the Study:
- To assess the correlation between cystatin C- and creatinine-based estimated glomerular filtration rate (eGFR) and various lipid parameters in adult CKD patients.
- To compare these correlations against age- and sex-matched healthy controls.
Main Methods:
- A case-control study involving 50 CKD patients and 50 healthy controls.
- Measurement of serum creatinine, cystatin C, and lipid profiles (TC, TG, LDL-C, HDL-C, VLDL-C).
- Calculation of eGFR using Modification of Diet in Renal Disease (MDRD) and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations.
Main Results:
- CKD patients had significantly higher serum creatinine and cystatin C levels.
- Elevated triglycerides (TG) and very-low-density lipoprotein cholesterol (VLDL-C), and lower high-density lipoprotein cholesterol (HDL-C) were observed in CKD patients.
- No significant differences in total cholesterol (TC) or low-density lipoprotein cholesterol (LDL-C) were found between groups.
- Correlation analysis revealed weak and non-significant associations between both creatinine- and cystatin C-based eGFR with lipid parameters.
- Cystatin C-based eGFR demonstrated a slightly stronger negative correlation with TC, LDL-C, and LDL/HDL ratio compared to creatinine-based eGFR.
Conclusions:
- Correlations between eGFR and lipid parameters in CKD patients are weak and not statistically significant.
- Cystatin C-based eGFR may offer a slightly stronger, though still non-significant, association with lipid profiles compared to creatinine-based eGFR.
- Larger studies are warranted to further investigate the relationship between eGFR and dyslipidemia in CKD.
Abstract:
Introduction Dyslipidemia is a significant risk factor for cardiovascular morbidity and mortality in patients with chronic kidney disease (CKD). Therefore, it is essential to identify cardiovascular risk at the earliest. Cystatin C is a novel biomarker due to its high sensitivity relative to creatinine for estimating glomerular filtration rate (GFR). Aim This study aimed to assess the correlation between cystatin C- and creatinine-based eGFR (using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) equations) and lipid parameters (total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), very-low-density lipoprotein cholesterol (VLDL-C)) in adult CKD patients versus age- and sex-matched healthy controls. Materials and methods This case-control study was carried out at Dhiraj General Hospital, Piparia, Gujarat, India. A total of 100 participants were enrolled, including 50 CKD patients and 50 healthy controls. Serum creatinine, cystatin C, and lipid profile were measured. eGFR was calculated using MDRD (creatinine-based) and CKD-EPI (cystatin C-based) equations. Correlations between creatinine- and cystatin C-based eGFR with lipid parameters were assessed. Results CKD patients demonstrated significantly higher serum creatinine (11.64±5.86 mg/dl) and cystatin C (6.39±2.11 mg/dl) levels compared to controls. Patients with CKD had significantly elevated levels of serum TG and VLDL-C, whereas HDL-C was significantly lower compared to the controls (p<0.05). TC, LDL-C, TC/HDL ratio, and LDL/HDL ratio showed no statistically significant differences in the study groups (p>0.05). Correlation analysis revealed no significant association between cystatin C-based and creatinine-based eGFR with lipid parameters (p>0.05). However, cystatin C-based eGFR showed relatively stronger negative correlation with TC (r=-0.1603), LDL-C (r=-0.1913), and LDL/HDL ratio (r=-0.1855) compared with creatinine-based eGFR. Conclusion Correlations between eGFR and lipid parameters were weak and not statistically significant; however, cystatin C-based eGFR showed a relatively stronger, though non-significant, association with lipid parameters compared with creatinine-based eGFR. Larger studies are required to further explore these relationships.
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