Abstract

Low-density lipoprotein cholesterol (LDL-C) is typically estimated with the Friedewald or Martin/Hopkins equation; however, if triglyceride levels are 400 mg/dL or greater, laboratories reflexively perform direct LDL-C (dLDL-C) measurement. The use of direct chemical LDL-C assays and estimation of LDL-C via the National Institutes of Health Sampson equation are not well validated, and data on the accuracy of LDL-C estimation at higher triglyceride levels are limited. To compare an extended Martin/Hopkins equation for triglyceride values of 400 to 799 mg/dL with the Friedewald and Sampson equations. This cross-sectional study evaluated consecutive patients at clinical sites across the US with patient lipid distributions representative of the US population in the Very Large Database of Lipids from January 1, 2006, to December 31, 2015, with triglyceride levels of 400 to 799 mg/dL. Data analysis was performed from November 9, 2020, to March 23, 2021. Accuracy in LDL-C classification according to guideline-based categories and absolute errors between estimated LDL-C and dLDL-C levels. Patients were randomly assigned 2:1 to derivation and validation data sets. Levels of dLDL-C were measured by vertical spin-density gradient ultracentrifugation. The LDL-C levels were estimated using the Friedewald method, with a fixed ratio of triglycerides to very low-density lipoprotein cholesterol (VLDL-C ratio of 5:1), extended Martin/Hopkins equation with a flexible ratio, and Sampson equation with VLDL-C estimation by multiple least-squares regression. A total of 111 939 patients (mean [SD] age, 52 [13] years; 65.0% male) with triglyceride levels of 400 to 799 mg/dL were included, representing 2.2% of 5 081 680 patients in the database. Across all individual guideline LDL-C classes (<40, 40-69, 70-99, 100-129, 130-159, 160-189, and ≥190), estimation of LDL-C by the extended Martin/Hopkins equation was most accurate (62.1%) compared with the Friedewald (19.3%) and Sampson (40.4%) equations. In classifying LDL-C levels less than 70 mg/dL across all triglyceride strata, the extended Martin/Hopkins equation was most accurate (67.3%) compared with Friedewald (5.1%) and Sampson (26.4%) equations. In addition, for classifying LDL-C levels less than 40 mg/dL across all triglyceride strata, the extended Martin/Hopkins equation was most accurate (57.2%) compared with the Friedewald (4.3%) and Sampson (14.4%) equations. However, considerable underclassification of LDL-C occurred. The magnitude of error between the Martin/Hopkins equation estimation and dLDL-C was also smaller: at LDL-C levels less than 40 mg/dL, 2.7% of patients had 30 mg/dL or greater differences between dLDL-C and estimated LDL-C using the Martin/Hopkins equation compared with the Friedewald (92.5%) and Sampson (38.7%) equations. In this cross-sectional study, the extended Martin/Hopkins equation offered greater LDL-C accuracy compared with the Friedewald and Sampson equations in patients with triglyceride levels of 400 to 799 mg/dL. However, regardless of method used, caution is advised with LDL-C estimation in this triglyceride range.

Highlights

  • Low-density lipoprotein cholesterol (LDL-C) has long been clinically important in cardiovascular risk assessment and treatment decision-making, with the 2018 American Heart Association/American College of Cardiology (AHA/ACC) Cholesterol Guideline focusing on LDL-C as a primary target.[1]

  • The magnitude of error between the Martin/Hopkins equation estimation and direct LDL-C (dLDL-C) was smaller: at LDL-C levels less than 40 mg/dL, 2.7% of patients had 30 mg/dL or greater differences between dLDL-C and estimated LDL-C using the Martin/Hopkins equation compared with the Friedewald (92.5%) and Sampson (38.7%) equations

  • Meaning These results suggest that the extended Martin/Hopkins method offers greater accuracy compared with the Friedewald and Sampson equations at triglyceride levels of 400 to 799 mg/dL, with less underestimation at low LDL-C levels compared with the Friedewald and Sampson equations

Read more

Summary

Introduction

Low-density lipoprotein cholesterol (LDL-C) has long been clinically important in cardiovascular risk assessment and treatment decision-making, with the 2018 American Heart Association/American College of Cardiology (AHA/ACC) Cholesterol Guideline focusing on LDL-C as a primary target.[1]. Current methods of LDL-C estimation, including the Friedewald equation, which assumes a fixed ratio of triglycerides to very low-density lipoprotein cholesterol (VLDL-C), and the Martin/ Hopkins equation, with an adjustable ratio of triglycerides to VLDL-C based on triglyceride and non–high-density lipoprotein cholesterol (HDL-C) levels, are validated for triglyceride levels less than 400 mg/dL. Data on the accuracy of LDL-C estimation at higher triglyceride levels in large, modern cohorts are limited.[5,6]. If triglyceride levels are 400 mg/dL or higher, laboratories commonly default to error messages that LDL-C cannot be calculated, and direct chemical LDL-C assays are reflexively performed. Direct chemical LDL-C assays are not well validated in this setting. These direct tests do not use ultracentrifugation to isolate LDL-C but instead use various proprietary chemicals that lack standardization and add time and cost.[7]

Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call