Biomedizinische Forschung

Abstrakt

The research of the association between dyslipidemia and chronic kidney disease

Xia Li, Yintao Chen, Shuang Chen, Guozhe Sun, Yingxian Sun

Background: Chronic Kidney Disease (CKD) has been a world-widely focused health problem and accompanied by a high risk of Cardiovascular Disease (CVD). The dysfunction of kidney due to hyperlipidemia is responsible for CKD. However, the association of dyslipidemia and CKD in rural area of China still remains to be investigated.

Methods: We selected 11197 (including 5189 men and 6008 women) as samples. The indexes chosen as variables included age, Systolic Blood Pressure (SBP), Diastolic Blood Pressure (DBP), current smoking and drinking, Body Mass Index (BMI), exercise strength, Fasting Blood Glucose (FBG), and blood lipid. Estimated Glomerular Filtration Rate (eGFR) was selected to be the evaluation index of CKD. Finally, we acquired multiple logistic regression of eGFR and abnormal blood lipid levels in 3 models to evaluate the co-relationship between dyslipidemia and lowered eGFR.

Results: We established 3 models to evaluate the risk degree of mild CKD associating with dyslipidemia according to different co-variables combinations: high Triglyceride (TG), high Total Cholesterol (TC) and low High Density Lipoprotein-C (HDL-C), which are significant risk factors of mild CKD as they present intimate association with mild reduced eGFR (the OR (95% CI) and P value are: 1.224 (1.078-1.390), P=0.002; 1.560 (1.343-1.810), P<0.001; 1.391 (1.215-1.594), P<0.001 respectively). But high LDL-C only showed a suspect harmful property (OR=0.924 (0.773-1.105)) without ideal significance (P=0.389).

Conclusions: TG, TC, and HDL-C are all risk factors of mild reduced eGFR, indicating that dyslipidemia is closely related to the development of CKD.

Haftungsausschluss: Dieser Abstract wurde mit Hilfe von Künstlicher Intelligenz übersetzt und wurde noch nicht überprüft oder verifiziert.