Abstract 4142639: Assessing low-density lipoprotein cholesterol (LDL-C) equations in childhood for long-term risk of cardiovascular disease events: Superior performance of the Sampson equation

Background: Low-density lipoprotein cholesterol (LDL-C) is the primary lipid factor for diagnosing and managing lipid disorders in children. Although multiple equations are available for estimating LDL-C, the best one for assessing long-term cardiovascular (CV) risk is unclear. Hypothesis: Childhood LDL-C levels estimated from different equations differently associates with adult CV events. Aim: To compare the prospective association of childhood LDL-C levels estimated by the Friedewald, Martin/Hopkins, Sampson, and DeLong equations with adult CV events. Methods: Data were from seven prospective cohorts in the US, Finland, and Australia within the International Childhood Cardiovascular Cohort Consortium. LDL-C levels were estimated using four equations: Friedewald, Martin/Hopkins, Sampson, and DeLong. Discordance was defined as differing LDL-C categorizations (acceptable <110 mg/dL versus elevated ≥110 mg/dL) between equations. CV events were adjudicated from medical records. Associations between discordance and incident CV events were estimated using proportional-hazards regression, adjusted for sex, childhood age, systolic blood pressure, and body mass index. Results: Over a mean follow-up of 35 years, 171 fatal CV events occurred among 22262 participants (49.4% male; 24.2% Black; mean age 11.9 years in childhood) and 376 fatal/nonfatal CV events among 11627 participants. Although LDL-C levels estimated by different equations were similarly associated with CV events, predictive utility varied with discordant classifications (discordance ranging from 1.2-4.7%). Children with acceptable LDL-C by the Friedewald equation but elevated by the Martin/Hopkins, Sampson, or DeLong equations had an increased risk for CV events compared to those with concordant LDL-C (Figure). Similarly, discordance between acceptable Martin/Hopkins LDL-C but elevated LDL-C by the Sampson or DeLong equations indicated an increased risk. Conversely, discordance between elevated DeLong LDL-C but acceptable Sampson LDL-C indicated a decreased risk. Conclusions: The Sampson equation provides the most accurate assessment of long-term CV risk—outperforming the underestimation by Friedewald and Martin/Hopkins and the overestimation by DeLong— suggesting its potential for estimating elevated childhood LDL-C and improving early risk stratification.

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Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4142639
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
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article
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Abstract 4142639: Assessing low-density lipoprotein cholesterol (LDL-C) equations in childhood for long-term risk of cardiovascular disease events: Superior performance of the Sampson equation

Stephen Daniels, Markus Juonala, Yaxing Meng, Feitong Wu et al.
Circulation
Diabetes, Cardiovascular Risks, and Lipoproteins
article

Abstract 4142639: Assessing low-density lipoprotein cholesterol (LDL-C) equations in childhood for long-term risk of cardiovascular disease events: Superior performance of the Sampson equation

Stephen Daniels, Markus Juonala, Yaxing Meng, Feitong Wu, Alison Venn, Mika A. P. Kähönen, Elaine M. Urbina, Lydia Bazzano, David R. Jacobs, A. R. Sinaiko, Terence Dwyer, Jorma S.A. Viikari, Jessica Graus Woo, Kara M. Whitaker, Julia Steinberger, Costan G. Magnussen, Olli Raitakari
article en

Abstract

Background: Low-density lipoprotein cholesterol (LDL-C) is the primary lipid factor for diagnosing and managing lipid disorders in children. Although multiple equations are available for estimating LDL-C, the best one for assessing long-term cardiovascular (CV) risk is unclear. Hypothesis: Childhood LDL-C levels estimated from different equations differently associates with adult CV events. Aim: To compare the prospective association of childhood LDL-C levels estimated by the Friedewald, Martin/Hopkins, Sampson, and DeLong equations with adult CV events. Methods: Data were from seven prospective cohorts in the US, Finland, and Australia within the International Childhood Cardiovascular Cohort Consortium. LDL-C levels were estimated using four equations: Friedewald, Martin/Hopkins, Sampson, and DeLong. Discordance was defined as differing LDL-C categorizations (acceptable <110 mg/dL versus elevated ≥110 mg/dL) between equations. CV events were adjudicated from medical records. Associations between discordance and incident CV events were estimated using proportional-hazards regression, adjusted for sex, childhood age, systolic blood pressure, and body mass index. Results: Over a mean follow-up of 35 years, 171 fatal CV events occurred among 22262 participants (49.4% male; 24.2% Black; mean age 11.9 years in childhood) and 376 fatal/nonfatal CV events among 11627 participants. Although LDL-C levels estimated by different equations were similarly associated with CV events, predictive utility varied with discordant classifications (discordance ranging from 1.2-4.7%). Children with acceptable LDL-C by the Friedewald equation but elevated by the Martin/Hopkins, Sampson, or DeLong equations had an increased risk for CV events compared to those with concordant LDL-C (Figure). Similarly, discordance between acceptable Martin/Hopkins LDL-C but elevated LDL-C by the Sampson or DeLong equations indicated an increased risk. Conversely, discordance between elevated DeLong LDL-C but acceptable Sampson LDL-C indicated a decreased risk. Conclusions: The Sampson equation provides the most accurate assessment of long-term CV risk—outperforming the underestimation by Friedewald and Martin/Hopkins and the overestimation by DeLong— suggesting its potential for estimating elevated childhood LDL-C and improving early risk stratification.

CirculationVol. 150(Suppl_1)
Tulane University (US), University of Iowa (US), Cincinnati Children's Hospital Medical Center (US), University of Minnesota (US), Baker Heart and Diabetes Institute (AU), University of Turku (FI), Tampere University (FI), University of Minnesota System (US), Hennepin County Library (US), Turku University Hospital (FI), Menzies School of Health Research (AU), Menzies Institute for Medical Research, University of Colorado Denver (US)
Good health and well-being
Openalex Percentile: Top 68%
Diabetes, Cardiovascular Risks, and Lipoproteins
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