Towards Accurate Low-density Lipoprotein-cholesterol Estimation: Retrospective Comparison of 26 Equations Against the Friedewald Equation in Indian Laboratories
Deepika Gujjarlapudi, Vidyavathi Devi Gajapathi Raju, M Srihita, KSS Uma Mahesh, Namburu Veeraiah, DV Prasad Vengaladasu, Nageshwar Reddy Duvvur
A
BSTRACT
Background:
The Friedewald equation, developed over 50 years ago from a small fasting North American cohort, remains the dominant low-density lipoprotein-cholesterol (LDL-C) estimator worldwide. Its validity in Indian patients – who exhibit distinctly elevated triglycerides (TG), lower high-density lipoprotein cholesterol, and high metabolic syndrome burden – has not been rigorously evaluated at scale.
Objective:
To subject all 26 available LDL-C estimation equations to head-to-head evaluation against a validated enzymatic direct assay across the full triglyceride spectrum in Indian laboratory practice.
Materials and Methods:
Retrospective cross-sectional analysis of 17,379 patients at a tertiary care referral hospital (October 2023– December 2024). Direct LDL-C was measured by the Beckman Coulter selective protection enzymatic assay. All 26 equations were evaluated for clinical concordance, mean bias, standard deviation of differences, and
Results:
Among 1269 fasting patients with TG <400 mg/dL, Sampson-NIH showed the closest agreement with direct LDL-C measurement (
Conclusions:
Sampson-NIH and Jeong are meaningfully superior to Friedewald’s in Indian patients, particularly at TG >200 mg/dL and low LDL-C values. Direct LDL-C measurement is essential when TG exceeds 400 mg/dL.