دورية أكاديمية
أعرض في EDS

A novel equation for the estimation of low-density lipoprotein cholesterol in the Saudi Arabian population: a derivation and validation study.

التفاصيل البيبلوغرافية
العنوان: A novel equation for the estimation of low-density lipoprotein cholesterol in the Saudi Arabian population: a derivation and validation study.
المؤلفون: Nuwaylati DA; Department of Clinical Biochemistry, Faculty of Medicine, University of Jeddah, 21959, Jeddah, Saudi Arabia. dina.nuwaylati@gmail.com., Awan ZA; Department of Clinical Biochemistry, Faculty of Medicine, University of Jeddah, 21959, Jeddah, Saudi Arabia.; Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, 21465, Jeddah, Saudi Arabia.
المصدر: Scientific reports [Sci Rep] 2024 Mar 05; Vol. 14 (1), pp. 5478. Date of Electronic Publication: 2024 Mar 05.
نوع المنشور: Clinical Study; Comparative Study; Journal Article; Validation Study
اللغة: English
بيانات الدورية: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
أسماء مطبوعة: Original Publication: London : Nature Publishing Group, copyright 2011-
مواضيع طبية MeSH: Arabs* , Hyperlipoproteinemia Type II*, Humans ; Cholesterol, LDL ; Cross-Sectional Studies ; Saudi Arabia ; Triglycerides
مستخلص: Low-density lipoprotein cholesterol (LDL-C) is typically estimated by the Friedewald equation to guide atherosclerotic cardiovascular disease (ASCVD) management despite its flaws. Martin-Hopkins and Sampson-NIH equations were shown to outperform Friedewald's in various populations. Our aim was to derive a novel equation for accurate LDL-C estimation in Saudi Arabians and to compare it to Friedewald, Martin-Hopkins and Sampson-NIH equations. This is a cross-sectional study on 2245 subjects who were allocated to 2 cohorts; a derivation (1) and a validation cohort (2). Cohort 1 was analyzed in a multiple regression model to derive an equation (equation D ) for estimating LDL-C. The agreement between the measured (LDL-C DM ) and calculated levels was tested by Bland-Altman analysis, and the biases by absolute error values. Validation of the derived equation was carried out across LDL-C and triglyceride (TG)-stratified groups. The mean LDL-C DM was 3.10 ± 1.07 and 3.09 ± 1.06 mmol/L in cohorts 1 and 2, respectively. The derived equation is: LDL-C D  = 0.224 + (TC × 0.919) - (HDL-C × 0.904) - (TG × 0.236) - (age × 0.001) - 0.024. In cohort 2, the mean LDL-C (mmol/L) was estimated as 3.09 ± 1.06 by equation D , 2.85 ± 1.12 by Friedewald, 2.95 ± 1.09 by Martin-Hopkins, and 2.93 ± 1.11 by Sampson-NIH equations; statistically significant differences between direct and calculated LDL-C was observed with the later three equations (P < 0.001). Bland-Altman analysis showed the lowest bias (0.001 mmol/L) with equation D as compared to 0.24, 0.15, and 0.17 mmol/L with Friedewald, Martin-Hopkins, and Sampson-NIH equations, respectively. The absolute errors in all guideline-stratified LDL-C categories was the lowest with equation D , which also showed the best classifier of LDL-C according to guidelines. Moreover, equation D predicted LDL-C levels with the lowest error with TG levels up to 5.63 mmol/L. Equation D topped the other equations in estimating LDL-C in Saudi Arabians as it could permit better estimation when LDL-C is < 2.4 mmol/L, in familial hyperlipidemia, and in hypertriglyceridemia, which improves cardiovascular outcomes in high-risk patients. We recommend further research to validate equation D in a larger dataset and in other populations.
(© 2024. The Author(s).)
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المشرفين على المادة: 0 (Cholesterol, LDL)
0 (Triglycerides)
تواريخ الأحداث: Date Created: 20240305 Date Completed: 20240307 Latest Revision: 20240426
رمز التحديث: 20240426
مُعرف محوري في PubMed: PMC10914719
DOI: 10.1038/s41598-024-55921-w
PMID: 38443422
قاعدة البيانات: MEDLINE
الوصف
تدمد:2045-2322
DOI:10.1038/s41598-024-55921-w