Literature DB >> 35550683

Distribution of Coronary Artery Calcium by Age, Sex, and Race Among Patients 30-45 Years Old.

Aamir Javaid1, Zeina A Dardari2, Joshua D Mitchell3, Seamus P Whelton2, Omar Dzaye2, Joao A C Lima4, Donald M Lloyd-Jones5, Matthew Budoff6, Khurram Nasir7, Daniel S Berman8, John Rumberger9, Michael D Miedema10, Todd C Villines1, Michael J Blaha11.   

Abstract

BACKGROUND: Coronary artery calcium (CAC) is a measure of atherosclerotic burden and is well-validated for risk stratification in middle- to older-aged adults. Few studies have investigated CAC in younger adults, and there is no calculator for determining age-, sex-, and race-based percentiles among individuals aged <45 years.
OBJECTIVES: The purpose of this study was to determine the probability of CAC >0 and develop age-sex-race percentiles for U.S. adults aged 30-45 years.
METHODS: We harmonized 3 datasets-CARDIA (Coronary Artery Risk Development in Young Adults), the CAC Consortium, and the Walter Reed Cohort-to study CAC in 19,725 asymptomatic Black and White individuals aged 30-45 years without known atherosclerotic cardiovascular disease. After weighting each cohort equally, the probability of CAC >0 and age-sex-race percentiles of CAC distributions were estimated using nonparametric techniques.
RESULTS: The prevalence of CAC >0 was 26% among White males, 16% among Black males, 10% among White females, and 7% among Black females. CAC >0 automatically placed all females at >90th percentile. CAC >0 placed White males at the 90th percentile at age 34 years compared with Black males at age 37 years. An interactive webpage allows one to enter an age, sex, race, and CAC score to obtain the corresponding estimated percentile.
CONCLUSIONS: In a large cohort of U.S. adults aged 30-45 years without symptomatic atherosclerotic cardiovascular disease, the probability of CAC >0 varied by age, sex, and race. Estimated percentiles may help interpretation of CAC scores among young adults relative to their age-sex-race matched peers and can henceforth be included in CAC score reporting.
Copyright © 2022 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  cardiovascular diseases; cardiovascular risk; coronary artery calcium; coronary artery disease; multidetector computed tomography; percentiles; premature atherosclerosis; primary prevention; young adults

Mesh:

Substances:

Year:  2022        PMID: 35550683      PMCID: PMC9179003          DOI: 10.1016/j.jacc.2022.02.051

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   27.203


  35 in total

1.  Distribution of coronary artery calcium by race, gender, and age: results from the Multi-Ethnic Study of Atherosclerosis (MESA).

Authors:  Robyn L McClelland; Hyoju Chung; Robert Detrano; Wendy Post; Richard A Kronmal
Journal:  Circulation       Date:  2005-12-19       Impact factor: 29.690

2.  CAC-DRS: Coronary Artery Calcium Data and Reporting System. An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT).

Authors:  Harvey S Hecht; Michael J Blaha; Ella A Kazerooni; Ricardo C Cury; Matt Budoff; Jonathon Leipsic; Leslee Shaw
Journal:  J Cardiovasc Comput Tomogr       Date:  2018-03-30

3.  The National Lipid Association scientific statement on coronary artery calcium scoring to guide preventive strategies for ASCVD risk reduction.

Authors:  Carl E Orringer; Michael J Blaha; Ron Blankstein; Matthew J Budoff; Ronald B Goldberg; Edward A Gill; Kevin C Maki; Laxmi Mehta; Terry A Jacobson
Journal:  J Clin Lipidol       Date:  2020-12-11       Impact factor: 4.766

4.  Predicting Age of Conversion to CAC >0: A Role for Polygenic Risk Scores?

Authors:  Michael J Blaha
Journal:  JACC Cardiovasc Imaging       Date:  2021-01-13

5.  Sociodemographic Determinants of Life's Simple 7: Implications for Achieving Cardiovascular Health and Health Equity Goals.

Authors:  Brent M Egan; Jiexiang Li; Susan E Sutherland; Daniel W Jones; Keith C Ferdinand; Yuling Hong; Eduardo Sanchez
Journal:  Ethn Dis       Date:  2020-09-24       Impact factor: 1.847

6.  Identification of patients at increased risk of first unheralded acute myocardial infarction by electron-beam computed tomography.

Authors:  P Raggi; T Q Callister; B Cooil; Z X He; N J Lippolis; D J Russo; A Zelinger; J J Mahmarian
Journal:  Circulation       Date:  2000-02-29       Impact factor: 29.690

7.  Prevalence and correlates of coronary calcification in black and white young adults: the Coronary Artery Risk Development in Young Adults (CARDIA) Study.

Authors:  D E Bild; A R Folsom; L P Lowe; S Sidney; C Kiefe; A O Westfall; Z J Zheng; J Rumberger
Journal:  Arterioscler Thromb Vasc Biol       Date:  2001-05       Impact factor: 8.311

Review 8.  2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines.

Authors:  Donna K Arnett; Roger S Blumenthal; Michelle A Albert; Andrew B Buroker; Zachary D Goldberger; Ellen J Hahn; Cheryl Dennison Himmelfarb; Amit Khera; Donald Lloyd-Jones; J William McEvoy; Erin D Michos; Michael D Miedema; Daniel Muñoz; Sidney C Smith; Salim S Virani; Kim A Williams; Joseph Yeboah; Boback Ziaeian
Journal:  Circulation       Date:  2019-03-17       Impact factor: 29.690

9.  Progression of coronary artery calcification seems to be inevitable, but predictable - results of the Heinz Nixdorf Recall (HNR) study.

Authors:  Raimund Erbel; Nils Lehmann; Sofia Churzidse; Michael Rauwolf; Amir A Mahabadi; Stefan Möhlenkamp; Susanne Moebus; Marcus Bauer; Hagen Kälsch; Thomas Budde; Michael Montag; Axel Schmermund; Andreas Stang; Dagmar Führer-Sakel; Christian Weimar; Ulla Roggenbuck; Nico Dragano; Karl-Heinz Jöckel
Journal:  Eur Heart J       Date:  2014-07-25       Impact factor: 29.983

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