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各种低密度脂蛋白胆固醇计算方法的比较:是时候让印度淘汰 Friedewald 方程了吗?

Comparison of Various Low Density Lipoprotein Cholesterol Calculators: Is It Time for the Friedewald Equation to Go in India?

机构信息

Consultant Cardiologist, Ashwin Clinic, Chennai, Tamil Nadu, India, Corresponding Author.

Registrar, Department of Cardiology, Apollo Hospitals, Chennai, Tamil Nadu, India.

出版信息

J Assoc Physicians India. 2024 Sep;72(9):e1-e5. doi: 10.59556/japi.72.0645.

Abstract

BACKGROUND AND OBJECTIVES

Low-density lipoprotein cholesterol (LDL-c) is the main target in the management of dyslipidemia in primary and secondary prevention of atherosclerotic cardiovascular disease (ASCVD). Our study aims to compare the conventional and most popular Friedewald equation, and the more recent Sampson equation (literally unknown in India but more accurate), to the directly estimated LDL-c by the homogenous method. No such comparative study has been done in India.

METHODS

A multicenter retrospective analysis of the lipid profiles of patients whose LDL-c was derived directly by the homogenous method was included. Indirect LDL-c was estimated using the Friedewald and Sampson equations. The accuracy, error, and level of correlation between direct LDL-c and the two equations were assessed for concordance and discordance based on LDL-c categories (≤50, 51-70, 71-100, 101-130, ≥131 mg/dL). Upward discordance is when the calculated LDL-c was at least one category higher and downward discordance is when the calculated LDL-c was at least one category lower than the corresponding direct LDL-c (DLDL-c). Subgroup analyses were also done for triglycerides (TGLs) <150, 151-199, ≥200 mg/dL. TGL >400 were assessed separately.

RESULTS

A total of 30,810 samples from four centers were studied. The overall mean DLDL-c was 107.86 mg/dL. The mean estimated LDL-c by Friedewald's equation (FLDL-c) and Sampson's equation (SLDL-c) were 101.37 and 104.37 mg/dL, respectively. There was statistical significance (-value < 0.0005) in the mean difference when DLDL-c was compared with combined SLDL-c and FLDL-c as per the Games-Howell multiple comparison study, in which the mean difference was greater with the Friedewald equation (6.495) than with the Sampson equation (3.491). The overall concordance between FLDL-c vs DLDL-c and SLDL-c vs DLDL-c was nearly similar (74 vs 77%, respectively). The overall discordance upward was 5% with FLDL-c and 7% with SLDL-c (-value < 0.0005). The overall discordance downward for FLDL-c and SLDL-c was 22 and 15% (-value < 0.0005). When subgroup analysis was done for LDL-c ≤ 70, the downward discordance was 41% (FLDL-c) and 32% (SLDL-c), giving a false sense of goal LDL-c being achieved more often with FLDL-c. For LDL-c > 70, the corresponding downward discordance was 16 and 11%, respectively. Starting from TGL ≥ 200 mg/dL, there was consistent underestimation of LDL-c by the Friedewald equation. When TGL was > 400, the mean DLDL-c was 109 mg/dL, while for FLDL-c, it was 82 mg/dL and for SLDL-c, it was 98 mg/dL.

CONCLUSION

Sampson's equation improves the accuracy of the indirectly calculated LDL-c compared to Friedewald's equation. The FLDL-c is estimated falsely low at LDL-c ≤ 70 mg/dL, giving a lower sense of LDL-c goal being achieved, and these patients will be undertreated. By switching to Sampson's equation, 9% in the LDL-c ≤ 70 mg/dL and 5% in the LDL-c > 70 mg/dL can be correctly classified. The shift to Sampson's equation requires a simple formula change and can be easily embraced in India-a small change but in the right direction.

摘要

背景与目的

低密度脂蛋白胆固醇(LDL-c)是原发性和继发性动脉粥样硬化性心血管疾病(ASCVD)一级和二级预防中血脂异常管理的主要目标。我们的研究旨在比较常规和最流行的 Friedewald 方程,以及最近的 Sampson 方程(在印度几乎不为人知,但更准确)与均相法直接估计的 LDL-c。在印度还没有进行过这样的比较研究。

方法

纳入了直接通过均相法得出 LDL-c 的患者的血脂谱多中心回顾性分析。使用 Friedewald 和 Sampson 方程估计间接 LDL-c。根据 LDL-c 类别(≤50、51-70、71-100、101-130、≥131mg/dL)评估直接 LDL-c 和两个方程之间的准确性、误差和相关性水平,以确定一致性和不一致性。向上不一致是指计算的 LDL-c 至少高一个类别,而向下不一致是指计算的 LDL-c 至少低一个类别低于相应的直接 LDL-c(DLDL-c)。还对甘油三酯(TGL)<150、151-199、≥200mg/dL 进行了亚组分析。单独评估 TGL>400。

结果

从四个中心研究了 30810 个样本。总体平均 DLDL-c 为 107.86mg/dL。Friedewald 方程(FLDL-c)和 Sampson 方程(SLDL-c)估计的平均 LDL-c 分别为 101.37 和 104.37mg/dL。根据 Games-Howell 多重比较研究,当 DLDL-c 与合并的 SLDL-c 和 FLDL-c 进行比较时,平均差异具有统计学意义(-值<0.0005),其中 Friedewald 方程的平均差异(6.495)大于 Sampson 方程(3.491)。FLDL-c 与 DLDL-c 和 SLDL-c 与 DLDL-c 之间的总体一致性非常相似(分别为 74%和 77%)。FLDL-c 的总向上不一致率为 5%,SLDL-c 为 7%(-值<0.0005)。FLDL-c 和 SLDL-c 的总向下不一致率分别为 22%和 15%(-值<0.0005)。当对 LDL-c≤70 进行亚组分析时,FLDL-c 的向下不一致率为 41%(FLDL-c)和 32%(SLDL-c),这给人一种错误的感觉,即通过 FLDL-c 更常达到 LDL-c 目标。对于 LDL-c>70,相应的向下不一致率分别为 16%和 11%。从 TGL≥200mg/dL 开始,Friedewald 方程对 LDL-c 的估计一直低估。当 TGL 超过 400 时,平均 DLDL-c 为 109mg/dL,而对于 FLDL-c,则为 82mg/dL,对于 SLDL-c,则为 98mg/dL。

结论

与 Friedewald 方程相比,Sampson 方程提高了间接计算的 LDL-c 的准确性。在 LDL-c≤70mg/dL 时,FLDL-c 估计过低,导致 LDL-c 目标达成感较低,这些患者将接受不足的治疗。通过切换到 Sampson 方程,可以正确分类 9%的 LDL-c≤70mg/dL 和 5%的 LDL-c>70mg/dL。转向 Sampson 方程只需要一个简单的公式更改,并且可以很容易地在印度采用-这是一个小的改变,但朝着正确的方向。

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