Development of a Modified Friedewald's Formula to Calculate Low-Density Lipoprotein in an Iranian Population.

IF 1.6 Q2 MEDICINE, GENERAL & INTERNAL
Seyed Alireza Sobhani, Masoumeh Kheirandish, Shideh Rafati, Milad Rafat, Roghayeh Shahbazi, Abnoos Azarbad, Masoumeh Mahmoodi, Ebrahim Eftekhar, Somayeh Kheirandish
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引用次数: 0

Abstract

Background: Elevated low-density lipoprotein cholesterol (LDL-C) is a significant risk factor for cardiovascular diseases. LDL-C can be directly measured using various methods, but this requires expensive equipment. Currently, clinical laboratories estimate LDL-C based on Friedewald's formula (FF). We aimed to develop a modified formula based on directly measured LDL-C (D-LDL-C) values in a large population in Southern Iran and compare the results with various other estimation formulas.

Methods: The participants of this cross-sectional study were adults aged >18 years living in Southern Iran. Blood samples from 15,200 individuals were collected, and the measured lipid parameters were randomly divided into training (n=10,184) and validation (n=5,016) datasets. A new formula was developed using a linear regression model, and its accuracy was validated. Pearson's correlation and Cohen's kappa were used to determin the relationship between D-LDL-C and calculated LDL-C (C-LDL-C).

Results: The developed formula for the estimation of LDL-C was 0.857 total cholesterol (TC)-0.915 high-density lipoprotein cholesterol (HDL-C)-0.115 triglycerides (TG). Based on our proposed formula, for TG<150 and TG≥150 mg/dL, there was a significant correlation between mean values of D-LDL-C and C-LDL-C (r=0.985 and r=0.974, respectively). Compared to other formulas, C-LDL-C obtained from the proposed formula had the highest correlation with D-LDL-C. The agreement between D-LDL-C and C-LDL-C for TC<200, 200-239, and ≥240 mg/dL was 80.8%, 63.2%, and 67.4%, respectively, indicating a higher level of agreement than other formulas.

Conclusion: The new formula appears to be more accurate than FF when applied to the population of Southern Iran.

Abstract Image

Abstract Image

计算伊朗人群低密度脂蛋白的改良Friedewald公式的发展。
背景:低密度脂蛋白胆固醇(LDL-C)升高是心血管疾病的重要危险因素。LDL-C可以使用各种方法直接测量,但这需要昂贵的设备。目前,临床实验室根据弗里德瓦尔德公式(FF)估计LDL-C。我们的目的是基于伊朗南部大量人群中直接测量的LDL-C(D-LDL-C)值开发一个修正公式,并将结果与其他各种估计公式进行比较。方法:这项横断面研究的参与者是居住在伊朗南部的18岁以上的成年人。收集了15200名个体的血液样本,并将测量的脂质参数随机分为训练(n=10184)和验证(n=5016)数据集。利用线性回归模型建立了一个新的公式,并对其准确性进行了验证。采用Pearson相关和Cohen’s kappa法测定D-低密度脂蛋白胆固醇与计算的低密度脂素胆固醇(C-LDL-C)之间的关系。结果:LDL-C的估算公式为0.857总胆固醇(TC)-0.915高密度脂蛋白-胆固醇(HDL-C)-0.115甘油三酯(TG)。基于我们提出的公式,对于TG结论:当应用于伊朗南部人口时,新公式似乎比FF更准确。
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
Iranian Journal of Medical Sciences
Iranian Journal of Medical Sciences MEDICINE, GENERAL & INTERNAL-
CiteScore
3.20
自引率
0.00%
发文量
84
审稿时长
12 weeks
期刊介绍: The Iranian Journal of Medical Sciences (IJMS) is an international quarterly biomedical publication, which is sponsored by Shiraz University of Medical Sciences. The IJMS intends to provide a scientific medium of com­muni­cation for researchers throughout the globe. The journal welcomes original clinical articles as well as clinically oriented basic science re­search experiences on prevalent diseases in the region and analysis of various regional problems.
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