A case control study to evaluate abnormal lipid profiles in elderly Koreans using radial artery pulse signals

Abstract Aim of the study This study sought to determine whether radial artery pulse signal changes in the patients with abnormal blood lipid profiles provide diagnostic information to evaluate dyslipidemia. Materials and methods In this case control study, 113 elderly people were divided into two groups, a normal lipid group and an abnormal lipid group, based on their blood lipid test results. Multivariate logistic regression analysis of these two groups was conducted to identify the significant radial artery pulse signals to evaluate abnormal lipid profiles and receiver operating characteristic (ROC) curve analysis was used to evaluate the logistic model. Results The abnormal lipid group displayed significantly different radial artery pulse signals compared with the normal lipid group (A1: primary amplitude of left artery; τ 1: primary phase of left artery; τ 2: secondary phase of left artery; σ 2/ σ 1: ratio of the shape of the primary wave to the shape of the secondary wave of right artery). A predictive value for abnormal lipid profiles was obtained using binary logistic regression, which included age, gender, left A1 from step 1, left τ 1 from step 2, left τ 2 from step 3, and right σ 2/ σ 1 from step 2. ROC curve analysis assessed the accuracy of the test for abnormal lipid profile diagnosis (AUC = 0.854). Conclusions Age, gender, A1 (primary amplitude), τ 1 (primary phase), τ 2 (secondary phase), σ 2/ σ 1 (ratio of the shape of the primary wave to the shape of the secondary wave) derived from radial artery pulse signals may be used to assess abnormal lipid profiles in elderly Koreans.