Evidence map›Paper›PMID 39232632›Full record

ArticleJournal of the American College of Cardiology2024

Prediction of Cumulative Exposure to Atherogenic Lipids During Early Adulthood.

John T Wilkins, Hongyan Ning, Norrina B Allen, Alexander Zheutlin, Nilay S Shah, Matthew J Feinstein, Amanda M Perak, Sadiya S Khan, Ankeet S Bhatt, Ravi Shah and 3 more

Abstract read
In one paragraph

Article in Journal of the American College of Cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Review
  13. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

John T WilkinsDepartment of Medicine (Cardiology), Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA; Department of Preventive Medicine (Epidemiology), Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA. Electronic address: j-wilkins@northwestern.edu.
Hongyan NingDepartment of Preventive Medicine (Epidemiology), Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Norrina B AllenDepartment of Preventive Medicine (Epidemiology), Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Alexander ZheutlinDepartment of Medicine (Cardiology), Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Nilay S ShahDepartment of Medicine (Cardiology), Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA; Department of Preventive Medicine (Epidemiology), Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Matthew J FeinsteinDepartment of Medicine (Cardiology), Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA; Department of Preventive Medicine (Epidemiology), Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Amanda M PerakDepartment of Medicine (Cardiology), Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA; Department of Pediatrics (Cardiology), Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Sadiya S KhanDepartment of Medicine (Cardiology), Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA; Department of Preventive Medicine (Epidemiology), Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Ankeet S BhattKaiser Permanente, Division of Research, Oakland, California, USA.
Ravi ShahDepartment of Medicine (Cardiology), Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Venkatesh MurthyDepartment of Medicine (Cardiology), University of Michigan Medical School, Ann Arbor, Michigan, USA.
Allan SnidermanDepartment of Medicine (Cardiology), McGill University School of Medicine, Montreal, Quebec, Canada.
Donald M Lloyd-JonesDepartment of Medicine (Cardiology), Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA; Department of Preventive Medicine (Epidemiology), Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA; Department of Pediatrics (Cardiology), Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.

Funding

CORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS (CARDIA) STUDY - COORDINATING CENTER (CC)75N92023D00002 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LI, JING · 2023 to 2025
$6.8M
Epigenetic Determinants of Lipoproteins Across the Early Adult Life CourseR01HL146844 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI WILKINS, JOHN THOMAS · 2020 to 2023
$2.2M
CORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS (CARDIA) STUDY - OAKLAND FIELD CENTER75N92023D00003 · NHLBI · KAISER FOUNDATION RESEARCH INSTITUTE · PI BHATT, ANKEET S. · 2023 to 2025
$2.2M
CORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS (CARDIA) STUDY - BIRMINGHAM FIELD CENTER75N92023D00005 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LEWIS, CORA · 2023 to 2025
$2.2M
CORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS (CARDIA) STUDY - CHICAGO FIELD CENTERDIVERSITY SUPPLEMENT FOR MORGANN WEST75N92023D00004 · NHLBI · NORTHWESTERN UNIVERSITY · PI CARNETHON, MERCEDES · 2023 to 2025
$2.1M
CORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS (CARDIA) STUDY - UNIVERSITY OF MINNESOTA FIELD CENTER.75N92023D00006 · NHLBI · UNIVERSITY OF MINNESOTA · PI SCHREINER, PAMELA J · 2023 to 2025
$1.7M
NHLBI NIH HHS 75N92023D00002NHLBI NIH HHS 75N92023D00003NHLBI NIH HHS 75N92023D00004NHLBI NIH HHS 75N92023D00005NHLBI NIH HHS 75N92023D00006NHLBI NIH HHS R01 HL146844
6 · The paper itself

Abstract

backgroundThe ability of a 1-time measurement of non-high-density lipoprotein cholesterol (non-HDL-C) or low-density lipoprotein cholesterol (LDL-C) to predict the cumulative exposure to these lipids during early adulthood (age 18-40 years) and the associated atherosclerotic cardiovascular disease (ASCVD) risk after age 40 years is not clear.

objectivesThe objectives of this study were to evaluate whether a 1-time measurement of non-HDL-C or LDL-C in a young adult can predict cumulative exposure to these lipids during early adulthood, and to quantify the association between cumulative exposure to non-HDL-C or LDL-C during early adulthood and the risk of ASCVD after age 40 years.

methodsWe included CARDIA (Coronary Artery Risk Development in Young Adults Study) participants who were free of cardiovascular disease before age 40 years, were not taking lipid-lowering medications, and had ≥3 measurements of LDL-C and non-HDL-C before age 40 years. First, we assessed the ability of a 1-time measurement of LDL-C or non-HDL-C obtained between age 18 and 30 years to predict the quartile of cumulative lipid exposure from ages 18 to 40 years. Second, we assessed the associations between quartiles of cumulative lipid exposure from ages 18 to 40 years with ASCVD events (fatal and nonfatal myocardial infarction and stroke) after age 40 years.

resultsOf 4,104 CARDIA participants who had multiple lipid measurements before and after age 30 years, 3,995 participants met our inclusion criteria and were in the final analysis set. A 1-time measure of non-HDL-C and LDL-C had excellent discrimination for predicting membership in the top or bottom quartiles of cumulative exposure (AUC: 0.93 for the 4 models). The absolute values of non-HDL-C and LDL-C that predicted membership in the top quartiles with the highest simultaneous sensitivity and specificity (highest Youden's Index) were >135 mg/dL for non-HDL-C and >118 mg/dL for LDL-C; the values that predicted membership in the bottom quartiles were <107 mg/dL for non-HDL-C and <96 mg/dL for LDL-C. Individuals in the top quartile of non-HDL-C and LDL-C exposure had demographic-adjusted HRs of 4.6 (95% CI: 2.84-7.29) and 4.0 (95% CI: 2.50-6.33) for ASCVD events after age 40 years, respectively, when compared with each bottom quartile.

conclusionsSingle measures of non-HDL-C and LDL-C obtained between ages 18 and 30 years are highly predictive of cumulative exposure before age 40 years, which in turn strongly predicts later-life ASCVD events.

Indexed as

AtherosclerosisCholesterol, LDLAdolescentAdultCholesterol, HDLFemaleHumansMalePredictive Value of TestsRisk AssessmentRisk FactorsYoung AdultCholesterol, HDLCholesterol, LDLASCVD riskcholesteroldeterminantslife courseyoung adults

Identifiers

PMID39232632
PMCPMC13454923

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.