Comparison of three equations for estimating low-density lipoprotein-cholesterol in the rural northeastern region of Thailand.

Abstract:

BACKGROUND:Cardiovascular disease is the most common cause of death worldwide, and the detection of LDL-C contributes to reducing risks. However, the LDL-C is rarely evaluated according to the gold standard method because it is costly and time-consuming. This study aimed to determine the agreement of LDL-C among three equations, namely Friedewald's equation, Puavilai's equation, and Dansethakul's equation. METHODS:A cross-sectional descriptive study. RESULTS:Using the data of lipid measurement from a specific group of people in the remote rural area, we found that the Thai equations have more superior agreement with direct measurement than the Friedewald equation (ICC = 0.870, 95% CI = 0.857-0.882) when the agreement of continuous data was used for total analysis. Although the categorical analysis that gave better agreement was from Friedewald equation (K index = 0.730, 95% CI = 0.720-0.751), the findings from this study confirmed the population-specific use of Pauvilai's equation and Dansethakul's equation for determining the LDL-C. CONCLUSION:Pauvilai's equation showed better agreement with direct measurement for LDL-C. Thus, it could be considered as an alternative for the direct method, particularly in laboratories in rural areas in Thailand.

journal_name

J Clin Lab Anal

authors

Sonsok S,Sarakarn P,Sanchaisuriya P

doi

10.1002/jcla.23429

subject

Has Abstract

pub_date

2020-10-01 00:00:00

pages

e23429

issue

10

eissn

0887-8013

issn

1098-2825

journal_volume

34

pub_type

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