Agreement and bias between direct LDL-C measurement and estimation equations in routine clinical lipid samples at Sebbi Hospital, Uganda

Low-density lipoprotein cholesterol (LDL-C) is central to cardiovascular risk assessment, yet its accurate determination remains challenging. The Friedewald formula performs poorly in hypertriglyceridemia, while newer formulas such as Martin/Hopkins and Sampson show improved accuracy. In Uganda and sub-Saharan Africa, contemporary comparisons of these equations against direct assays are lacking, increasing the risk of misclassification. We conducted a retrospective method comparison study at Sebbi Hospital, Uganda, analyzing 1,289 lipid profiles (2022–2025). Directly measured LDL-C on the Mindray BS-230 analyzer was compared with Friedewald, Martin/Hopkins, and Sampson formula-calculated LDL-C. Agreement, correlation, root mean square error (RMSE), mean absolute difference (MAD), and misclassification at European Society of Cardiology/European Atherosclerosis Society (ESC/EAS) treatment thresholds were assessed across triglyceride strata (<150, 150–399, ≥400 mg/dL). For TG <150 mg/dL, all methods showed comparable agreement with the Sampson equation (84.13 – 85.03%, k=0.696 – 0.706), with misclassification rates of 14.97 – 15.87% and MAD ranging from 13.87 to 15.54 mg/dL. For TG 150 - 399 mg/dL, agreement declined markedly for Friedwald (67.75%), but remained substantially higher for directly measured LDL-C(86.07%) and Martin/Hopkins (82.12%). Misclassification was highest for Friedwald (32.43%) compared with Martin/Hopkins (17.88%) and directly measured LDL-C (13.93%). For TG≥400 mg/dL, agreement was nominally high for directly measured LDL-C (78.79) but weighted kappa was poor and non-significant for all three methods. MAD was 57.56mg/dL for directly measured LDL-C, 103.45mg/dL for Friedwald and 64.96mg/dL for Martin/Hopkins, with over 93% of directly measured LDL-C values differing from Sampson-calculated values by more than 20mg/dL. Agreement and misclassification varied by triglycerides level, with all methods showing comparable concordance with Sampson equation in the low-TG stratum. Friedwald equation showed the poorest agreement and highest misclassification at moderately elevated triglycerides level. In severe hypertriglyceridemia, large differences were observed across all methods, though conclusions were limited y small sample size. Findings highlight the importance of transparent reporting of LDL-C measurement method and careful interpretation near ESC/EAS treatment thresholds.

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Scientific African
Published
2026-04-27
DOI
https://doi.org/10.1016/j.sciaf.2026.e03373
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
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article
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article

Agreement and bias between direct LDL-C measurement and estimation equations in routine clinical lipid samples at Sebbi Hospital, Uganda

Gerald Mboowa, Betty Nakawuka, Bwambale Jonani, Herman Roman Bwire et al.
Scientific African
Diabetes, Cardiovascular Risks, and Lipoproteins
article

Agreement and bias between direct LDL-C measurement and estimation equations in routine clinical lipid samples at Sebbi Hospital, Uganda

Gerald Mboowa, Betty Nakawuka, Bwambale Jonani, Herman Roman Bwire, John Bosco Mundaka, Julius Kayiizi, Nabakka Daniella Babirye, Nasibo Shafina, Enock Ssebunya, Namutebi Proscovia, Dele Wyclif, Gloria Nakibuuka, Musiime Cissy, Anthony Ocanit, Kasule Charles Emmanue, Francis Ssentongo, Nakitende Patricia Peace, Dickson Abenaitwe
article en

Abstract

Low-density lipoprotein cholesterol (LDL-C) is central to cardiovascular risk assessment, yet its accurate determination remains challenging. The Friedewald formula performs poorly in hypertriglyceridemia, while newer formulas such as Martin/Hopkins and Sampson show improved accuracy. In Uganda and sub-Saharan Africa, contemporary comparisons of these equations against direct assays are lacking, increasing the risk of misclassification. We conducted a retrospective method comparison study at Sebbi Hospital, Uganda, analyzing 1,289 lipid profiles (2022–2025). Directly measured LDL-C on the Mindray BS-230 analyzer was compared with Friedewald, Martin/Hopkins, and Sampson formula-calculated LDL-C. Agreement, correlation, root mean square error (RMSE), mean absolute difference (MAD), and misclassification at European Society of Cardiology/European Atherosclerosis Society (ESC/EAS) treatment thresholds were assessed across triglyceride strata (<150, 150–399, ≥400 mg/dL). For TG <150 mg/dL, all methods showed comparable agreement with the Sampson equation (84.13 – 85.03%, k=0.696 – 0.706), with misclassification rates of 14.97 – 15.87% and MAD ranging from 13.87 to 15.54 mg/dL. For TG 150 - 399 mg/dL, agreement declined markedly for Friedwald (67.75%), but remained substantially higher for directly measured LDL-C(86.07%) and Martin/Hopkins (82.12%). Misclassification was highest for Friedwald (32.43%) compared with Martin/Hopkins (17.88%) and directly measured LDL-C (13.93%). For TG≥400 mg/dL, agreement was nominally high for directly measured LDL-C (78.79) but weighted kappa was poor and non-significant for all three methods. MAD was 57.56mg/dL for directly measured LDL-C, 103.45mg/dL for Friedwald and 64.96mg/dL for Martin/Hopkins, with over 93% of directly measured LDL-C values differing from Sampson-calculated values by more than 20mg/dL. Agreement and misclassification varied by triglycerides level, with all methods showing comparable concordance with Sampson equation in the low-TG stratum. Friedwald equation showed the poorest agreement and highest misclassification at moderately elevated triglycerides level. In severe hypertriglyceridemia, large differences were observed across all methods, though conclusions were limited y small sample size. Findings highlight the importance of transparent reporting of LDL-C measurement method and careful interpretation near ESC/EAS treatment thresholds.

Scientific AfricanVol. 32
Mulago Hospital (UG), Malaria Consortium (UG), African Bible University (UG), Makerere University (UG)
Openalex Percentile: Top 16%
Diabetes, Cardiovascular Risks, and Lipoproteins
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