2307-P: Lipid Profiles as Independent Predictors of Glycemic Control

Introduction and Objective: Higher HDL cholesterol has been linked to improved glycemic control in observational and mechanistic studies. We aimed to determine whether lipid profiles predict glycemic control independently of statin use—which is known to adversely affect glucose metabolism. Methods: We analyzed NHANES 2017-2020 data for adults ≥18 years with available HbA1c and lipid measurements. Generalized linear models with a log link were used, with HbA1c as the primary outcome. Covariates included statin use, BMI, cardiovascular disease, HDL and LDL cholesterol, triglycerides, age, sex, and race/ethnicity. All associations are reported as incidence rate ratios (IRR) along with their respective P-values. Results: In multivariable models, statin use was associated with an 8% higher likelihood of elevated HbA1c (IRR=1.08, P=0.001). Triglycerides correlated positively with HbA1c (IRR=1.0004, P=0.002). An interaction between race and HDL revealed a significant inverse association with HbA1c only among non-Hispanic Whites (IRR=0.998, P<0.001). Other significant predictors included BMI (IRR=1.003, P=0.001) and age (IRR=1.002, P<0.001). Conclusion: Statin use was modestly associated with higher HbA1c, independent of lipid levels and other risk factors. HDL’s beneficial effect on glycemic control was observed only in non-Hispanic Whites, underscoring racial differences in lipid-glycemia relationships and the need for further studies examining precision treatments for diabetes. Disclosure D. Stefanovski: None. A. Anne: None. P. Vellanki: Consultant; Ended; Sanofi, RTI International.