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Non-High-Density Lipoprotein Cholesterol and Cardiovascular Outcomes in Chronic Kidney Disease: Results from KNOW-CKD Study.

Authors :
Suh, Sang Heon
Oh, Tae Ryom
Choi, Hong Sang
Kim, Chang Seong
Bae, Eun Hui
Ma, Seong Kwon
Oh, Kook-Hwan
Han, Seung Hyeok
Kim, Soo Wan
Source :
Nutrients; Sep2022, Vol. 14 Issue 18, pN.PAG-N.PAG, 18p
Publication Year :
2022

Abstract

As non-high-density lipoprotein cholesterol (non-HDL-C) levels account for all atherogenic lipoproteins, serum non-HDL-C level has been suggested to be a marker for cardiovascular (CV) risk stratification. Therefore, to unveil the association of serum non-HDL-C levels with CV outcomes in patients with non-dialysis chronic kidney disease (ND-CKD), the patients at stages 1 to 5 (n = 2152) from the Korean Cohort Study for Outcomes in Patients with Chronic Kidney Disease (KNOW-CKD) were prospectively analyzed. The subjects were divided into quintiles by serum non-HDL-C level. The primary outcome was a composite of all-cause death or non-fatal CV events. The median duration of follow-up was 6.940 years. The analysis using the Cox proportional hazard model unveiled that the composite CV event was significantly increased in the 5th quintile (adjusted hazard ratio 2.162, 95% confidence interval 1.174 to 3.981), compared to that of the 3rd quintile. A fully adjusted cubic spline model depicted a non-linear, J-shaped association between non-HDL-C and the risk of a composite CV event. The association remained robust in a series of sensitivity analyses, including the analysis of a cause-specific hazard model. Subgroup analyses reveled that the association is not significantly altered by clinical conditions, including age, gender, body mass index, estimated glomerular filtration rate, and albuminuria. In conclusion, high serum non-HDL-C level increased the risk of adverse CV outcomes among the patients with ND-CKD. Further studies are warranted to define the optimal target range of non-HDL-C levels in this population. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20726643
Volume :
14
Issue :
18
Database :
Complementary Index
Journal :
Nutrients
Publication Type :
Academic Journal
Accession number :
159338220
Full Text :
https://doi.org/10.3390/nu14183792