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Table 2 Performance metrics for all three formulas compared to LDL-C estimated using VLDL-C measured by ultracentrifugation in the overall population and stratified by FCHL dyslipidemia phenotype

From: Comparative assessment of LDL-C and VLDL-C estimation in familial combined hyperlipidemia using Sampson’s, Martin’s and Friedewald’s equations

Metric

LDL-F

LDL-M

LDL-S

Isolated Hypercholesterolemia

Mixed dyslipidemia

LDL-F

LDL-M

LDL-S

LDL-F

LDL-M

LDL-S

ρ (95%CI)

0.895 (0.872–0.915)

0.899 (0.876–0.917)

0.917 (0.899–0.932)

0.962 (0.947–0.973)

0.957 (0.941–0.969)

0.961 (0.9460.972)

0.855 (0.814–0.889)

0.871 (0.834–0.901)

0.875 (0.838–0.904)

ρ with ApoB (95%CI)

0.644 (0.577–0.702)

0.788 (0.744–0.825)

0.704 (0.646–0.754)

0.856 (0.825–0.882)

0.868 (0.8400.892)

0.862 (0.832–0.887)

0.628 (0.558–0.688)

0.729 (0.675–0.775)

0.662 (0.598–0.718)

R2

0.802

0.807

0.840

0.645

0.606

0.614

0.731

0.769

0.782

RMSE

44.96

30.22

19.99

10.74

10.98

10.19

44.44

29.41

18.41

Bias (95%CI)

12.33 (7.71,16.95)

1.12 (−2.10,4.35)

4.59 (2.51,6.67)

2.85 (2.16,5.56)

4.14 (2.41,5.86)

2.29 (0.59,4.00)

18.05 (10.47,25.63)

−0.91 (−6.19,4.37)

6.14 (2.86,9.42)

  1. Abbreviations: RMSE Root of Mean Squared Error, 95%CI 95% Confidence Interval, LDL-F LDL-C estimated by the Friedewald’s equation, LDL-M LDL-C estimated by Martin’s formula., LDL-S LDL-C estimated by Sampson’s formula