Lipid Parameters and the Development of Chronic Kidney Disease: A Prospective Cohort Study in Middle-Aged and Elderly Chinese Individuals

• Published in: Nutrients Vol. 15; no. 1; p. 112
• Main Authors: Liao, Shumei, Lin, Diaozhu, Feng, Qiling, Li, Feng, Qi, Yiqin, Feng, Wanting, Yang, Chuan, Yan, Li, Ren, Meng, Sun, Kan
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 26.12.2022; MDPI
• Subjects: Age Factors; Aged; Alcohol; Blood lipids; Blood pressure; Body mass index; China; Cholesterol; Cholesterol, HDL; Chronic illnesses; Chronic kidney failure; Cohort analysis; cohort studies; Creatinine; Development and progression; Diabetes; East Asian People; elderly; Glucose; Health aspects; High density lipoprotein; high density lipoprotein cholesterol; hospitals; Humans; Kidney diseases; lipid metabolism; Lipids; Measurement; Metabolic disorders; Middle age; Middle Aged; Middle aged persons; Prospective Studies; Questionnaires; regression analysis; renal function; Renal Insufficiency, Chronic - metabolism; Risk Factors; Statistical analysis; triacylglycerols; Triglycerides; Urine; China; United States > US; chronic kidney disease; creatinine; urinary albumin-to-creatinine ratio; TG to HDL-C ratio; estimated glomerular filtration rate; dyslipidemia
• DOI: 10.3390/nu15010112
• ISSN: 2072-6643

Epidemiological evidence suggests that lipid parameters are related to the progression of chronic kidney disease (CKD). Nevertheless, prospective studies that comprehensively assess the effect of routinely available lipid measures on the development of CKD are lacking. The aim of this study was to longitudinally assess the influence of lipid metabolism indicators on the presence of CKD in a large community-based population. We conducted a prospective cohort study at Sun Yat-sen Memorial Hospital, China, with 5345 patients of 40 years or older. Cox regression models were conducted, and hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to assess lipid parameters and their relationship with the incidence of CKD. During the follow-up period, 340 (6.4%) subjects developed CKD. The incidence of CKD increased progressively with quartile values of triglyceride (TG), the ratio of non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol (non-HDL-C/HDL-C) and the ratio of TG to HDL-C, but decreased with HDL-C quartiles (p < 0.0001 for all trends). Pearson’s correlation analysis and multiple regression analyses indicated that these parameters were also associated with various indicators of kidney function. Moreover, we found that among all the lipid parameters, TG/HDL-C emerged as the most effective predictor of CKD. In conclusion, our findings suggest that TG/HDL-C better predicts the incidence of CKD in middle-aged and elderly Chinese individuals than other lipid parameters tested in the study.