The elderly population is at a higher risk of cardiovascular complications, and dyslipidemia plays a significant role as a contributing factor. Chronic kidney disease (CKD) patients are prone to lipid abnormalities, further increasing the risk of cardiovascular complications. We aimed to investigate the lipid profile characteristics of the middle-aged and elderly population, particularly CKD patients. We conducted a cross-sectional study using baseline data from the Systolic Blood Pressure Intervention Trial (SPRINT). It was examined how lipid profiles are affected by age within the general population, and how BMI and lipid characteristics are affected by CKD subtype. Among 8746 participants, we observed a decreasing trend in LnTAG (natural logarithm of Triacylglycerol) and total Cholesterol (CHR) levels with increasing age, while high-density lipoprotein cholesterol (HDL-C) levels increased with age. In the CKD and non-CKD subgroups created through propensity score matching based on age, sex, and race, CKD individuals exhibited significantly higher average LnTAG levels across all age groups compared to the non-CKD group. Multivariable linear regression analysis, controlling for confounding variables, revealed a negative correlation between LnTAG and estimated glomerular filtration rate (eGFR) (r = -0.002, p < 0.001). HDL-C showed a positive correlation with eGFR (r = 0.057, p < 0.001). That is, in the middle-aged and elderly population, age demonstrated a negative correlation with total CHR and TAG levels, while exhibiting a positive correlation with HDL-C levels. CKD patients exhibited relatively higher TAG levels, which were positively associated with CKD progression.
Keyphrases
- chronic kidney disease
- end stage renal disease
- blood pressure
- small cell lung cancer
- ejection fraction
- newly diagnosed
- peritoneal dialysis
- randomized controlled trial
- prognostic factors
- heart failure
- clinical trial
- fatty acid
- heart rate
- left ventricular
- skeletal muscle
- tyrosine kinase
- epidermal growth factor receptor
- single cell
- body mass index
- body composition
- insulin resistance
- artificial intelligence
- atrial fibrillation
- high intensity
- double blind
- resistance training
- placebo controlled