Phenotyping lipid profiles in type 2 diabetes: Risk association and outcomes from the Cardiovascular Health Study

Area of Science:

• Cardiology
• Endocrinology
• Metabolic Syndrome

Background:

• Type 2 diabetes is associated with increased cardiovascular disease (CVD) risk.
• Traditional lipid profiles, primarily LDL cholesterol, may not fully capture this elevated CVD risk.

Purpose of the Study:

• To investigate if distinct lipid profiles (lipid phenotyping) can stratify CVD risk in individuals with type 2 diabetes.
• To compare the CVD risk associated with specific lipid phenotypes against LDL cholesterol levels.

Main Methods:

• Analysis of baseline fasting lipid profiles from 866 Cardiovascular Health Study participants with diabetes.
• Categorization of participants based on LDL cholesterol and HDL-C/Triglyceride (Tg) profiles.
• Cox multivariate regression to assess risks for CVD mortality, myocardial infarction (MI), heart failure (HF), stroke, and major adverse cardiovascular events (MACE).

Main Results:

• The high triglyceride/low HDL-C phenotype showed CVD mortality risk (HR 1.58) comparable to the highest LDL-C phenotype (HR 1.48).
• This phenotype also demonstrated equivalent or higher risks for MI, HF, stroke, and MACE compared to high LDL-C.
• Continuously modeled, triglycerides and remnant cholesterol showed higher HR per SD for MACE (1.19-1.20) than LDL-C (1.12).

Conclusions:

• The high triglyceride/low HDL-C lipid phenotype confers significant cardiovascular risk in type 2 diabetes patients.
• This phenotype's risk is comparable to or exceeds that of high LDL cholesterol.
• Lipid phenotyping may offer a more comprehensive approach to CVD risk stratification in this population.