Evidence map›Paper›PMID 39119471›Full record

ArticlePractical laboratory medicine2024

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

Syed Bilal Hashmi, Sibtain Ahmed, Shiraz Hashmi, Rasool Bux, Imran Siddiqui

Abstract read
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Article in Practical laboratory medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Syed Bilal HashmiDepartment of Pathology and Laboratory Medicine, Aga Khan University, Karachi, Pakistan.
Sibtain AhmedDepartment of Pathology and Laboratory Medicine, Aga Khan University, Karachi, Pakistan.
Shiraz HashmiDepartment of Medicine, Aga Khan University, Karachi, Pakistan.
Rasool BuxDepartment of Pediatrics, Division of Women and Child Health, Aga Khan University, Karachi, Pakistan.
Imran SiddiquiDepartment of Pathology and Laboratory Medicine, Aga Khan University, Karachi, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

CardiovascularFriedewaldLDL-CholesterolPakistani

Identifiers

PMID39119471
PMCPMC11304068

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