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Total cholesterol to high-density lipoprotein cholesterol ratio is independently associated with CKD progression
Wei Li1, Zhijie Du1, Honglan Wei2
1Department of Nephrology, Wuhan Fourth Hospital, Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430033, Hubei, People's Republic of China.
Insights
The total cholesterol to HDL ratio and urinary albumin-to-creatinine ratio can predict chronic kidney disease (CKD) progression. This combination may help identify individuals at high risk for CKD progression.
Area of Science:
- Nephrology
- Cardiovascular Medicine
- Clinical Chemistry
Background:
- Dyslipidemia is a known risk factor for kidney damage.
- The independent contribution of dyslipidemia to chronic kidney disease (CKD) progression remains debated.
Purpose of the Study:
- To investigate the predictive value of serum lipid profiles and their ratios for CKD progression.
- To assess the utility of lipid parameters in identifying patients at risk for worsening kidney function.
Main Methods:
- A retrospective case-control study involving 380 adult patients with CKD stages 3-4.
- CKD progression defined as rapid eGFR decline (>5 mL/min/1.73 m²/year) or new-onset ESRD (eGFR <15 mL/min/1.73 m²).
- Logistic regression and ROC curve analysis were employed to evaluate associations and predictive power.
Main Results:
- Over a median of 3.0 years, 25.3% of participants experienced CKD progression.
- Log-transformed urinary albumin-to-creatinine ratio (log ACR) and total cholesterol to HDL-C ratio (TC/HDL-C) were independently associated with CKD progression.
- The combined predictor (ACR and TC/HDL-C) showed an AUC of 0.716 for diagnosing CKD progression.
Conclusions:
- The combination of TC/HDL-C ratio and ACR demonstrates significant predictive value for CKD progression.
- These lipid-related markers may aid in identifying high-risk CKD populations.
- Further research can explore therapeutic interventions targeting these markers.
Purpose:
Although dyslipidemia can cause kidney damage, whether it independently contributes to the progression of chronic kidney disease (CKD) remains controversial. The research aims to evaluate the predictive value of serum lipids and their ratios in the progression of CKD.
Methods:
The retrospective, case-control study included 380 adult subjects with CKD stage 3-4 (G3-4) at baseline. The end point of follow-up was the progression of CKD, defined as a composite of renal function rapid decline [an annual estimated glomerular filtration rate (eGFR) decline > 5 mL/min/1.73 m2] or the new-onset end-stage renal disease (ESRD) [eGFR < 15 mL/min/1.73 m2]. Logistic regression analysis was performed to examine the association between CKD progression and lipid parameters. Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive power of lipid parameters in the progression of CKD.
Results:
Over a median follow-up of 3.0 years, 96 participants (25.3%) developed CKD progression. In multivariable logistic regression analysis, logarithm-transformed urinary albumin-to-creatinine ratio (log ACR) [odds ratio (OR) 1.834;95% confidence interval (CI) 1.253-2.685; P = 0.002] and total cholesterol to high-density lipoprotein cholesterol ratio (TC/HDL-C) [OR 1.345; 95% CI 1.079-1.677; P = 0.008] were independently associated with CKD progression. The ROC curve showed the combined predictor of ACR and TC/HDL-C ratio was acceptable for CKD progression diagnosis (area under the ROC curve [AUC] = 0.716, sensitivity 50.0%, specificity 84.2%), and the cut-off value was - 0.98.
Conclusions:
The combination of TC/HDL-C ratio and ACR had predictive value in the progression of CKD, and may help identify the high-risk population with CKD.
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