Low-Density Lipoprotein Estimated by Various Equations in Patients With Obesity.

IF 4.1 Q2 ENDOCRINOLOGY & METABOLISM
Johannes Oswald, Iris Bregulla, Monika Bröder, Raphael Reiter, Julian Eberhardt, Julian Gomahr, Dagmar Schaffler-Schaden
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引用次数: 0

Abstract

Background and aims: Reducing atherogenic lipoproteins to lower cardiovascular risk is a key objective in obesity treatment. Accurate lipoprotein measurements are essential for determining the need for therapy and guiding its management. To identify the best equation for estimating LDL cholesterol, LDL measured directly (LDL-D) is compared to LDL calculated using equations developed by Friedewald (LDL-F), Martin (LDL-M) and Sampson/NIH (LDL-S). This study also examines the change of LDL and apolipoprotein B levels during a multidisciplinary obesity treatment programme.

Methods: This retrospective observational study included 308 adult patients with obesity who participated in a single-centre, multidisciplinary treatment programme using meal replacement (Optifast-professional). This study employed Pearson's correlations, repeated-measures analyses of variance (ANOVA) and a paired t-test and also compared calculated values against desirable bias and total allowable error.

Results: The absolute values of LDL-M and LDL-S showed less bias and correlated better with LDL-D than LDL-F. All equations significantly underestimated absolute LDL values: LDL-F (mean -12.43 mg/dL, p < 0.001), LDL-M (mean -10.05 mg/dL, p < 0.001) and LDL-S (mean -9.49 mg/dL, p < 0.001). LDL-F also underestimated the change occurring during the programme (3.81 mg/dL; p = 0.017). All equations performed poorly against desirable bias and total allowable error. LDL-D, LDL-F, LDL-M, LDL-S and ApoB levels all decreased significantly, and these decreases remained significant after excluding patients taking lipid-lowering medications.

Conclusions: LDL estimation equations systematically underestimated LDL in individuals with obesity. Among these, the Martin equation most accurately captured changes in LDL. Consequently, it appears to be the most suitable estimation method. However, direct measurement should remain the preferred method. The multidisciplinary meal replacement programme significantly reduced LDL cholesterol and ApoB.

肥胖症患者各种方程估计的低密度脂蛋白。
背景和目的:减少致动脉粥样硬化脂蛋白以降低心血管风险是肥胖治疗的关键目标。准确的脂蛋白测量对于确定治疗的需要和指导其管理是必不可少的。为了确定估计LDL胆固醇的最佳方程,将直接测量的LDL (LDL- d)与使用由Friedewald (LDL- f), Martin (LDL- m)和Sampson/NIH (LDL- s)开发的方程计算的LDL进行比较。本研究还探讨了在多学科肥胖治疗方案中LDL和载脂蛋白B水平的变化。方法:这项回顾性观察性研究包括308名成年肥胖患者,他们参加了一项使用代餐(Optifast-professional)的单中心、多学科治疗方案。本研究采用了Pearson相关性、重复测量方差分析(ANOVA)和配对t检验,并将计算值与理想偏差和总允许误差进行了比较。结果:LDL-M和LDL-S绝对值偏差较小,与LDL-D的相关性优于LDL-F。所有方程都显著低估了绝对LDL值:LDL- f(平均-12.43 mg/dL, p)结论:LDL估计方程系统性地低估了肥胖个体的LDL。其中,马丁方程最准确地捕捉到了LDL的变化。因此,它似乎是最合适的估计方法。然而,直接测量仍然是首选的方法。多学科代餐方案显著降低LDL胆固醇和载脂蛋白ob。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Obesity
Journal of Obesity ENDOCRINOLOGY & METABOLISM-
CiteScore
7.50
自引率
3.00%
发文量
19
审稿时长
21 weeks
期刊介绍: Journal of Obesity is a peer-reviewed, Open Access journal that provides a multidisciplinary forum for basic and clinical research as well as applied studies in the areas of adipocyte biology & physiology, lipid metabolism, metabolic syndrome, diabetes, paediatric obesity, genetics, behavioural epidemiology, nutrition & eating disorders, exercise & human physiology, weight control and health risks associated with obesity.
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