Diabetes, Metabolic Syndrome and Obesity (Mar 2020)

Association of Lipid Parameters with the Risk of Chronic Kidney Disease: A Longitudinal Study Based on Populations in Southern China

  • Wang X,
  • Chen H,
  • Shao X,
  • Xiong C,
  • Hong G,
  • Chen J,
  • Li X,
  • You X,
  • Gao P,
  • Chen Y,
  • Zou Z,
  • Ning J,
  • Xiao H,
  • Zou H,
  • Wei L

Journal volume & issue
Vol. Volume 13
pp. 663 – 670

Abstract

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Xin Wang,* Haishan Chen,* Xiaofei Shao, Chongxiang Xiong, Guobao Hong, Jianhui Chen, Xiaolin Li, Xu You, Peichun Gao, Yunying Chen, Ziliang Zou, Jing Ning, Hua Xiao, Hequn Zou, Lixin Wei Department of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People’s Republic of China*These authors contributed equally to this workCorrespondence: Hequn ZouDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, 183, Zhongshan West Avenue, Tianhe District, Guangzhou 510630, People’s Republic of ChinaEmail [email protected] WeiDepartment of Nephrology, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou, Fujian 350001, People’s Republic of ChinaEmail [email protected]: To investigate which plasma lipid parameters are useful for detecting chronic kidney disease (CKD) in a Chinese population without known CKD or renal impairment.Methods: This was a prospective study. In southern Chinese cities from 2012 to 2013, a total of 1037 subjects aged ≥ 18 years old received a survey. Logistic regression and multiple linear regression analyses were performed. The lipid parameters studied included total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), non-high-density lipoprotein cholesterol (nHDL-C), TG/HDL-C ratio, TC/HDL-C ratio and nHDL-C/HDL-C ratio.Results: After adjusting for confounding factors, the fourth percentile of logTG/HDL-C was observed to be an independent risk factor for CKD (OR = 2.453, P < 0.001), and the highest quantile of the logTG/HDL-C ratio was associated with a higher prevalence of CKD (P < 0.05). This risk was reduced when the model was adjusted with Insulin resistance (IR) (OR = 2.034, P < 0.05). In the group of women, glucose metabolism disorders, high uric acid, and obesity, this risk was increased. Multiple regression models showed that log TG and nonHDL-C/HDL-C were negatively correlated with eGFR (P < 0.05), while log TG and TC were positively correlated with logACR (P < 0.05). The area under the curve (ROC) of lgTG/HDL was 0.623 (p < 0.001).Conclusion: The serum logTG/HDL-C ratio is the only suitable predictor of CKD, and IR may be the mechanism. This risk needs to be controlled in a specific population. Log TG and nonHDL-C/HDL-C were negatively correlated with eGFR, while log TG and TC were positively correlated with logACR.Keywords: lipid, chronic kidney disease, CKD, urinary albumin to creatinine ratio, ACR, estimated glomerular filtration rate, eGFR

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