ArticleArquivos brasileiros de cardiologia2022
Comparison of Novel Martin/Hopkins and Sampson Equations for Calculation of Low-Density Lipoprotein Cholesterol in Diabetic Patients.
Article in Arquivos brasileiros de cardiologia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Comparative evaluation of LDL-cholesterol estimation using machine learning algorithms and conventional equations in a large middle eastern cohort.Clinics (Sao Paulo, Brazil) · 2026Article
- Low-Density Lipoprotein Estimated by Various Equations in Patients With Obesity.Journal of obesity · 2026Observational
- The clinical impact of estimating low-density lipoprotein cholesterol (LDL-C) using different equations in the general population.Lipids in health and disease · 2024Article
- Assessing the Practical Differences in LDL-C Estimates Calculated by Friedewald, Martin/Hopkins, or NIH Equation 2: An Observation Cross-Sectional Study.Journal of lipid and atherosclerosis · 2023Article
- Analysis of low-density lipoprotein in diabetic patients using the Martin/Hopkins and Sampson equationsReply.Arquivos brasileiros de cardiologia · 2023Article
- Concordance of LDL-C Estimating Equations with Direct Enzymatic Measurement in Diabetic and Prediabetic Subjects.Journal of clinical medicine · 2023Article
- Friedewald, Martin/Hopkins, or Sampson/NIH: Which is the Best Method to Estimate LDL-Cholesterol?Arquivos brasileiros de cardiologia · 2022Article
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Abstract
backgroundThe accurate determination of low-density lipoprotein cholesterol (LDL-C) is important to reach guideline-recommended LDL-C concentrations and to reduce adverse cardiovascular outcomes in diabetic patients. The commonly used Friedewald equation (LDL-Cf), gives inaccurate results in diabetic patients due to accompanying diabetic dyslipidemia. Recently two new equations - Martin/Hopkins (LDL-Cmh) and Sampson (LDL-Cs) - were developed to improve the accuracy of LDL-C estimation, but data are insufficient to suggest the superiority of one equation over the other one.
objectiveThe present study compared the accuracy and clinical usefulness of novel Martin/Hopkins and Sampson equations in diabetic patients.
methodsThis study included 402 patients with diabetes. Patients' cardiovascular risk and LDL-C targets were calculated per European guidelines. Calculated LDL-Cmh, LDL-Cs, and LDL-Cf concentrations were compared with direct LDL-C concentration (LDL-Cd) to test agreement between these equations and LDL-Cd. A p-value <0.05 was accepted as statistically significant.
resultsBoth LDL-Cmh and LDL-Cs had a better agreement with LDL-Cd as compared to LDL-Cf, but no statistical differences were found among novel equations for agreement with LDL-Cd (Cronbach's alpha 0.955 for both, p=1). Likewise, LDL-Cmh and LDL-Cs showed a similar degree of agreement with LDL-Cd in determining whether a patient was in a guideline-recommended LDL-C target (96.3% for LDL-Cmh and 96.0% for LDL-Cs), which were marginally better than LDL-Cf (94.6%). In patients with a triglyceride concentration >400 mg/dl, agreement with LDL-Cd was poor, regardless of the method used.
conclusionMartin/Hopkins and Sampson's equations show a similar accuracy for calculating LDL-C concentrations in patients with diabetes, and both equations were marginally better than the Friedewald equation.
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