JOURNAL ARTICLE
RESEARCH SUPPORT, NON-U.S. GOV'T
Add like
Add dislike
Add to saved papers

Serum lipid profiles, lipid ratios and Chronic Kidney Disease in a Chinese population.

AIM: To examine the association of serum lipids, lipid ratios with Chronic Kidney Disease (CKD) in a Chinese population.

METHODS: Data were drawn from a cross-sectional survey in China. CKD was defined as estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73m(2) or albuminuria-to-creatinine ratio (ACR) > 30 mg/g. Multivariable logistic regressions and multivariate regression models were used. Serum lipids and lipid ratios included total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), TG/HDL-C ratio, TC/HDL-C ratio and LDL-C/HDL-C ratio.

RESULTS: In men, only logarithm-transformed (log) TG was associated with CKD. The odds ratio (every SD increment) was 1.39 (95% CI 1.03-1.87, P = 0.03). In women, none of the serum lipids and lipid ratios was associated with CKD. Using multivariate regression models, it was shown that log TG and log TG/HDL-C were negatively correlated with eGFR (P < 0.05) in men and LDL-C and log LDL-C/HDL-C ratio were correlated with ACR in men. In female subjects, serum TC, log TG, log TG/HDL-C and log TC/HDL-C were negatively correlated with eGFR (P < 0.05). All of serum lipid profiles and lipid related ratio were not correlated with ACR in women.

CONCLUSION: Serum TG is the only suitable predictor for CKD in men. However, in women, none of serum lipids and lipid ratio can be used as a predictor for CKD. Log TG and log TG/HDL-C are negatively correlated with eGFR in both genders.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app