IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v11y2014i8p7622-7635d38637.html
   My bibliography  Save this article

Serum Lipid Profiles, Lipid Ratios and Chronic Kidney Disease in a Chinese Population

Author

Listed:
  • Liying Zhang

    (Department of Nephrology, The Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, China
    Department of Nephrology, The First Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010000, China)

  • Zhiyong Yuan

    (Wanzai Hospital of Xiangzhou district, Zhuhai 519000, China)

  • Wu Chen

    (Qianjin health service center of Tianhe district, Guangzhou 510000, China)

  • Shanying Chen

    (Department of Nephrology, The Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, China
    Department of Nephrology, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou 363000, China)

  • Xinyu Liu

    (Department of Nephrology, The Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, China)

  • Yan Liang

    (Department of Nephrology, The Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, China)

  • Xiaofei Shao

    (Department of Nephrology, The Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, China)

  • Hequn Zou

    (Department of Nephrology, The Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, China)

Abstract

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.

Suggested Citation

  • Liying Zhang & Zhiyong Yuan & Wu Chen & Shanying Chen & Xinyu Liu & Yan Liang & Xiaofei Shao & Hequn Zou, 2014. "Serum Lipid Profiles, Lipid Ratios and Chronic Kidney Disease in a Chinese Population," IJERPH, MDPI, vol. 11(8), pages 1-14, July.
  • Handle: RePEc:gam:jijerp:v:11:y:2014:i:8:p:7622-7635:d:38637
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/11/8/7622/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/11/8/7622/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hana Moon & Hae-Jin Ko & A-Sol Kim, 2020. "Hyperhomocysteinemia Concurrent with Metabolic Syndrome Is Independently Associated with Chronic Kidney Disease among Community-Dwelling Adults in an Urban Korean Population," IJERPH, MDPI, vol. 17(18), pages 1-15, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:11:y:2014:i:8:p:7622-7635:d:38637. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.