Choosing the right equation for calculating indirect LDL-Cholesterol (LDL-C) in adult Pakistani population: Evaluation of seven equations using big data analytics

IF 1.7 Q3 MEDICAL LABORATORY TECHNOLOGY
Syed Bilal Hashmi , Sibtain Ahmed , Shiraz Hashmi , Rasool Bux , Imran Siddiqui
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引用次数: 0

Abstract

Objective

Cardiovascular diseases (CVDs) are a leading cause of mortality worldwide. Low density lipoprotein cholesterol (LDL-C) contributes to the atherogenic process. However, direct LDL-C (d-LDL) has rarely been estimated by the gold standard method because it is cumbersome and expensive. We aim to evaluate calculated low density lipoprotein (LDL-c) by various equations with reference to directly measured LDL-C in the Pakistani adult population as a cost-effective alternative.

Methods

We retrospectively evaluated the validity of seven equations for estimating calculated LDL-C by computing correlation coefficients (r) and Bland Altman plots to assess agreement (mean %) for (d-LDL) and calculated (LDL-c) on all seven equations. Statistical analysis was performed in Stata Statistical Software: Release 17, College Station, TX: StataCorp LLC.

Results

We analyzed 247082 direct assays of lipid profiles of adults aged ≥18 years. The mean LDL-C levels computed on Friedewald, de Cordova, Chen, Hattori, Vujovic, Teerakanchana, Sampson equations were 106.8 ± 31.4, 103.7 ± 25.0, 108.6 ± 28.2, 100.1 ± 29.5, 115.2 ± 31.2, 113.1 ± 28.3 and 110.3 ± 30.6 respectively. Friedewald and Hattori equations correlated strongly with direct LDL-C (r = 0.937) for each followed by Sampson (r = 0.935) and Vujovic (r = 0.931). However, the median bias was least for the Friedwald equation (−1.6) compared to the other equations.

Conclusion

In contrast to the global literature advocating for the use of newer equations, although the conventional and widely utilized Friedewald equation remains the best alternative for calculated LDL-C estimation in adult Pakistani population.

选择正确的公式计算巴基斯坦成年人群的间接低密度脂蛋白胆固醇(LDL-C):利用大数据分析评估七种计算公式
目的心血管疾病(CVDs)是导致全球死亡的主要原因。低密度脂蛋白胆固醇(LDL-C)是导致动脉粥样硬化的重要因素。然而,由于直接测定低密度脂蛋白胆固醇(d-LDL)既麻烦又昂贵,因此很少采用金标准方法进行估算。我们通过计算相关系数(r)和布兰德-阿尔特曼图评估了所有七种计算低密度脂蛋白胆固醇(d-LDL)和计算低密度脂蛋白胆固醇(LDL-c)的一致性(平均百分比)。统计分析在 Stata 统计软件中进行:版本 17,德克萨斯州学院站:结果我们分析了 247082 例年龄≥18 岁成人的血脂谱直接测定结果。根据 Friedewald、de Cordova、Chen、Hattori、Vujovic、Teerakanchana 和 Sampson 方程计算的平均低密度脂蛋白胆固醇水平分别为 106.8 ± 31.4、103.7 ± 25.0、108.6 ± 28.2、100.1 ± 29.5、115.2 ± 31.2、113.1 ± 28.3 和 110.3 ± 30.6。弗里德瓦尔德方程和服部方程与直接 LDL-C 的相关性很强(r = 0.937),其次是桑普森方程(r = 0.935)和武约维奇方程(r = 0.931)。结论 尽管全球文献都在提倡使用更新的方程,但传统的、广泛使用的弗里德瓦尔德方程仍然是巴基斯坦成年人口计算低密度脂蛋白胆固醇的最佳选择。
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来源期刊
Practical Laboratory Medicine
Practical Laboratory Medicine Health Professions-Radiological and Ultrasound Technology
CiteScore
3.50
自引率
0.00%
发文量
40
审稿时长
7 weeks
期刊介绍: Practical Laboratory Medicine is a high-quality, peer-reviewed, international open-access journal publishing original research, new methods and critical evaluations, case reports and short papers in the fields of clinical chemistry and laboratory medicine. The objective of the journal is to provide practical information of immediate relevance to workers in clinical laboratories. The primary scope of the journal covers clinical chemistry, hematology, molecular biology and genetics relevant to laboratory medicine, microbiology, immunology, therapeutic drug monitoring and toxicology, laboratory management and informatics. We welcome papers which describe critical evaluations of biomarkers and their role in the diagnosis and treatment of clinically significant disease, validation of commercial and in-house IVD methods, method comparisons, interference reports, the development of new reagents and reference materials, reference range studies and regulatory compliance reports. Manuscripts describing the development of new methods applicable to laboratory medicine (including point-of-care testing) are particularly encouraged, even if preliminary or small scale.
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