Martin/Hopkins Estimation, Friedewald and Beta- Quantification of LDL-C in Patients in FOURIER

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TAP TO GO BACK TO KIOSK MENU Seth S. Martin, M.D., M.H.S., Robert P. Giugliano, M.D., S.M., 2 Sabina A. Murphy, M.P.H., 2 Scott M. Wasserman, M.D., 3 Peter S. Background Evolocumab, a fully human monoclonal antibody to proprotein convertase subtilisin/kexin type 9 (PCSK9), reduced low-density lipoprotein cholesterol (LDL-C) and cardiovascular events in the FOURIER trial. The gold standard for LDL-C determination is beta-quantification (BQ), however it is mainly a research technique and LDL-C is usually estimated in clinical practice. Objective To investigate accuracy of two different methods for estimating LDL-C (Friedewald and Martin/Hopkins [M/H]) compared to gold standard BQ in patients with low LDL-C in FOURIER. FOURIER was a randomized trial of evolocumab versus placebo added to statin therapy in 27,564 patients with atherosclerotic cardiovascular disease. To quantify LDL-C, FOURIER used the gold standard of BQ when the Friedewald estimate was <40 mg/dl. Friedewald LDL-C was estimated using a fixed conversion factor as TC HDL-C TG/5 whereas the Martin/Hopkins method used patient-specific TG:VLDL-C ratios to calculate LDL-C as TC HDL-C TG/personalized factor. This personalized factor, ranging from 3. to 9.5, was determined by the patient s non-hdl-c and TG values available from the standard lipid profile. We created scatterplots of the two LDL-C estimates vs BQ, then examined regression lines, correlations, and mg/dl differences. A total of 56,624 observations (98.8% in Evolocumab pts) were recorded with Friedewald LDL-C <40 mg/dl. In scatterplots of estimated vs BQ LDL-C, M/H LDL- C appeared less prone to underestimation and more evenly distributed around the regression line (figure left) than Friedewald (figure right). Spearman s correlation coefficient with BQ LDL-C was higher for M/H vs Friedewald LDL-C (0.98, [95% CI 0.96-0.99] vs 0.867, [95% CI 0.865-0.869]) and M/H LDL-C deviated less from observed values (Root MSE 4.32 [95% CI 4.25-4.39] vs 5.4 [95% CI 5.34-5.48] mg/dl). The median difference for M/H minus BQ LDL-C was -2 (25th to 75th: -4 to +) mg/dl and for Friedewald minus BQ LDL-C was -4 (-8 to -) mg/dl (p<0.00); differences were more pronounced in those with TGs 50 mg/dl: +2 (- to +6) vs -0 (-4 to -7) mg/dl (p<0.00). Overall, 77.% of M/H LDL-C values were within 5 mg/dl and 97.4% within 0 mg/dl of BQ, which were significantly greater than respective proportions with Friedewald estimation (59.9% and 86.7%) (p<0.00). Conclusion In patients achieving low LDL-C with PCSK9 inhibition, the M/H method for LDL-C estimation correlates more closely than Friedewald LDL-C with gold standard BQ. These data suggest M/H estimation should be the preferred method to estimate LDL-C levels in such intensively treated patients.

Seth S. Martin, M.D., M.H.S., Robert P. Giugliano, M.D., S.M., 2 Sabina A. Murphy, M.P.H., 2 Scott M. Wasserman, M.D., 3 Peter S. Evolocumab, a fully human monoclonal antibody to proprotein convertase subtilisin/kexin type 9 (PCSK9), reduced low-density lipoprotein cholesterol (LDL-C) and cardiovascular events in the FOURIER trial The gold standard for LDL-C determination is beta-quantification (BQ), also known as preparative ultracentrifugation, however it is mainly a research technique and LDL-C is usually estimated in clinical practice Recent studies have shown that Friedewald underestimates LDL-C at lower levels, which could result in undertreatment of high-risk patients A novel method (Martin/Hopkins [M/H]) appears to provide more accurate LDL-C, but has not been tested in PCSK9 inhibitor treated patients We aimed to investigate accuracy of M/H and Friedewald estimation compared to gold standard BQ in patients with low LDL-C in FOURIER

Seth S. Martin, M.D., M.H.S., Robert P. Giugliano, M.D., S.M., 2 Sabina A. Murphy, M.P.H., 2 Scott M. Wasserman, M.D., 3 Peter S. FOURIER was a randomized trial of evolocumab versus placebo added to statin therapy in 27,564 patients with atherosclerotic cardiovascular disease To quantify LDL-C, FOURIER used the gold standard of BQ when the Friedewald estimate was <40 mg/dl Friedewald LDL-C = TC HDL-C TG/5 Martin/Hopkins LDL-C = TC HDL-C TG/patient-specific factor This patient-specific factor, ranging from 3. to 9.5, was determined by the patient s non-hdl-c and TG values available from the standard lipid profile We created scatterplots of the two LDL-C estimates vs BQ, then examined regression lines, correlations, and mg/dl differences

Seth S. Martin, M.D., M.H.S., Robert P. Giugliano, M.D., S.M., 2 Sabina A. Murphy, M.P.H., 2 Scott M. Wasserman, M.D., 3 Peter S. 56,624 observations among 2,742 FOURIER patients with Friedewald LDL-C <40 mg/dl (98.8% recorded in Evolocumab pts): mean age 62.7±9.0 years, 22.6% women, 40.7% with triglycerides 50 mg/dl Median difference for M/H minus BQ LDL-C was -2 (25th to 75th: -4 to +) mg/dl and for Friedewald minus BQ LDL-C was -4 (-8 to -) mg/dl (p<0.00) Differences more pronounced if TGs 50 mg/dl: +2 (- to +6) vs -0 (-4 to -7) mg/dl (p<0.00) 22.9% of M/H LDL-C values were beyond +/-5 mg/dl and 2.6% beyond +/-0 mg/dl of BQ, significantly less than respective proportions with Friedewald estimation (40.% and 3.3%) (p<0.00 for each) Differences again more pronounced if TGs 50 mg/dl: 0% vs 50.2% beyond +/-0 mg/dl of BQ Spearman's correlation coefficient with BQ LDL-C was higher for M/H vs Friedewald LDL-C (0.98, [95% CI 0.96-0.99] vs 0.867, [95% CI 0.865-0.869]) and M/H LDL-C deviated less from observed values (Root MSE 4.32 [95% CI 4.25-4.39] vs 5.4 [95% CI 5.34-5.48] mg/dl) Scatterplots of estimated LDL-C (X axis) vs BQ LDL-C (Y axis)

Seth S. Martin, M.D., M.H.S., Robert P. Giugliano, M.D., S.M., 2 Sabina A. Murphy, M.P.H., 2 Scott M. Wasserman, M.D., 3 Peter S. CONCLUSIONS In patients achieving low LDL-C with PCSK9 inhibition, compared with Friedewald, the Martin/Hopkins method more closely approximates gold standard measurement. These data suggest that Martin/Hopkins estimation should be the preferred method to estimate LDL-C levels and may prevent undertreatment due to underestimation. : Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 972;8(6):499-502. Martin SS, Blaha MJ, Elshazly MB, et al. Friedewald-estimated versus directly measured low-density lipoprotein cholesterol and treatment implications. J Am Coll Cardiol. 203;62(8):732-739. Martin SS, Blaha MJ, Elshazly MB, et al. Comparison of a novel method vs the Friedewald equation for estimating low-density lipoprotein cholesterol levels from the standard lipid profile. JAMA. 203;30(9):206-2068. Meeusen JW, Lueke AJ, Jaffe AS, Saenger AK. Validation of a proposed novel equation for estimating LDL cholesterol. Clin Chem. 204;60(2):59-523. Lee J, Jang S, Son H. Validation of the martin method for estimating low-density lipoprotein cholesterol levels in Korean adults: Findings from the Korea national health and nutrition examination survey, 2009-20. PLoS One. 206;(). Kang M, Kim J, Lee SY, Kim K, Yoon J, Ki H. Martin s equation as the most suitable method for estimation of low-density lipoprotein cholesterol levels in Korean adults. Korean J Fam Med. 207;38(5):263-269. Sathiyakumar V, Park J, Golozar A, et al. Fasting versus nonfasting and low-density lipoprotein cholesterol accuracy. Circulation. 208;37():0-9. Sabatine MS, Giugliano RP, Keech AC, et al. Evolocumab and clinical outcomes in patients with cardiovascular disease. N Engl J Med. 207;376(8):73-722. Giugliano RP, Pedersen TR, Park JG, et al. Clinical efficacy and safety of achieving very low LDL-cholesterol concentrations with the PCSK9 inhibitor evolocumab: A prespecified secondary analysis of the FOURIER trial. Lancet. 207;390(006):962-97.