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.
Authors
- Stephen Daniels (ORCID: https://orcid.org/0000-0002-5987-9924)
- Markus Juonala (ORCID: https://orcid.org/0000-0001-9498-364X)
- Yaxing Meng (ORCID: https://orcid.org/0000-0002-2173-8325)
- Feitong Wu (ORCID: https://orcid.org/0000-0003-3753-974X)
- Alison Venn (ORCID: https://orcid.org/0000-0001-7090-1398)
- Mika A. P. Kähönen (ORCID: https://orcid.org/0000-0002-4510-7341)
- Elaine M. Urbina (ORCID: https://orcid.org/0000-0002-5640-6777)
- Lydia Bazzano (ORCID: https://orcid.org/0000-0002-8958-1352)
- David R. Jacobs (ORCID: https://orcid.org/0000-0002-7232-0543)
- A. R. Sinaiko
- Terence Dwyer (ORCID: https://orcid.org/0000-0002-2091-7663)
- Jorma S.A. Viikari (ORCID: https://orcid.org/0000-0001-6452-010X)
- Jessica Graus Woo (ORCID: https://orcid.org/0000-0003-3644-8432)
- Kara M. Whitaker (ORCID: https://orcid.org/0000-0003-2343-4162)
- Julia Steinberger (ORCID: https://orcid.org/0000-0002-2892-8594)
- Costan G. Magnussen (ORCID: https://orcid.org/0000-0002-6238-5730)
- Olli Raitakari
Institutions
- 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)
Publication Details
- Journal
- Circulation
- Published
- 2024-11-12
- DOI
- https://doi.org/10.1161/circ.150.suppl_1.4142639
- Primary Topic
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Type
- article
- Field-Weighted Citation Impact
- 0.00