Authors
Ranjan Suwal, Vivek Pant, Sushil Ram Shrestha, Prakash Poudel, Sujan Shrestha, Santosh Pradhan, Shital Bhandary
Published in
Laboratory medicine. May 27, 2025. Epub May 27, 2025.
Abstract
Many clinical laboratories use indirect estimation methods for low-density lipoprotein cholesterol (LDL-C) because of cost and practicality. This study compared the accuracy of indirect LDL-C estimates derived from the Friedewald, Puavilai, Hatta, and Martin equations in a Nepalese population.
This retrospective analysis included 7750 patients who underwent lipid profile testing at the Norvic International Hospital, Kathmandu, from February 1 to July 31, 2021. Participants were categorized based on triglyceride levels (<400 mg/dL and ≥400 mg/dL). Pearson correlation, paired t tests, and analysis of variance were employed to assess relationships and differences between directly measured and estimated LDL-C values.
The Puavilai equation demonstrated the highest concordance with directly measured LDL-C (92%), followed by the Martin (89%), Friedewald (88%), and Hatta (81%) equations. The Puavilai equation exhibited the smallest discrepancies (mean difference = 8.9 mg/dL) for triglyceride values below 150 mg/dL. The Martin equation was most accurate for triglyceride values above 150 mg/dL (mean difference = 10.0 mg/dL) and remained reliable, even for triglyceride values above 400 mg/dL. The Hatta equation showed the largest estimation errors.
The Puavilai equation is recommended for estimating LDL-C when triglyceride levels are below 150 mg/dL, while the Martin equation is preferred for levels above this threshold in the Nepalese population.
PMID:
40424557
Bibliographic data and abstract were imported from PubMed on 28 May 2025.
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