The association between dyslipidemia and the incidence of chronic kidney disease in the general Zhejiang population: a retrospective study.

<bold>Background: </bold>According to the "lipid nephrotoxicity hypothesis", there is now significant research being conducted in this area. By studying the role of hyperlipidemia in chronic kidney disease in the general Zhejiang population, we aimed to explore the correlation between changes in blood lipid levels and chronic kidney disease.<bold>Methods: </bold>We collected and analyzed clinical data from ordinary residents who participated in the annual comprehensive physical examination with no overt kidney disease in Zhejiang Provincial People's Hospital, China from January 2011 to December 2016. According to triglyceride, total cholesterol and low-density lipoprotein levels, participants were respectively divided into 4 groups. Statistical methods were used to evaluate the correlation between different blood lipid profiles and chronic kidney disease.<bold>Results: </bold>Five thousand one hundred eighty-three participants were included in our study. During the six-year follow-up period, 227 participants (4.4%) developed chronic kidney disease. The odds ratio for incident chronic kidney disease was 3.14 (95%CI: 1.53-6.43) in Q3, 3.84 (95%CI: 1.90-7.76) in Q4 according to the total cholesterol group and 1.17 (95%CI: 1.04-1.32) in Q3, 1.40 (95%CI: 1.11-2.48) in Q4 according to the low-density lipoprotein group, respectively, after multivariable-adjusted analyses. According to the triglyceride grouping, the odds ratio for incident chronic kidney disease was 2.88 (95%CI: 1.29-6.43) in Q2, 2.92 (95%CI: 1.44-6.57) in Q3 and 3.08 (95%CI: 1.11-6.69) in Q4, after multivariable-adjusted analyses.<bold>Conclusion: </bold>Increased triglycerides and high levels of total cholesterol and low-density lipoprotein were independently associated with an increased likelihood of estimated glomerular filtration rate (eGFR) decline and development of incident chronic kidney disease in the general Zhejiang population. [ABSTRACT FROM AUTHOR]