Literature DB >> 34179988

Prevalence and extent of coronary artery calcification in the middle-aged and elderly population.

Oke Gerke1,2, Jes S Lindholt2,3,4, Barzan H Abdo2, Jess Lambrechtsen5, Lars Frost6, Flemming Hald Steffensen7, Marek Karon8, Kenneth Egstrup5, Grazina Urbonaviciene6, Martin Busk7, Hans Mickley9, Axel C P Diederichsen2,4,9,10.   

Abstract

AIMS: Coronary artery calcification (CAC) measured on cardiac computed tomography (CT) is an important risk marker for cardiovascular disease (CVD) and has been included in the prevention guidelines. The aim of this study was to describe CAC score reference values in the middle-aged and elderly population and to develop a freely available CAC calculator. METHODS AND
RESULTS: All participants from two population-based cardiac CT screening cohorts (DanRisk and DANCAVAS) were included. The CAC score was measured as a part of a screening session. Positive CAC scores were log-transformed and non-parametrically regressed on age for each gender, and percentile curves were transposed according to proportions of zero CAC scores. Men had higher CAC scores than women, and the prevalence and extend of CAC increased steadily with age. An online CAC calculator was developed, http://flscripts.dk/cacscore. After entering sex, age, and CAC score, the CAC score percentile and the coronary age are depicted including a figure with the specific CAC score and 25%, 50%, 75%, and 90% percentiles. The specific CAC score can be compared to the entire background population or only those without prior CVD.
CONCLUSION: This study provides modern population-based reference values of CAC scores in men and woman and a freely accessible online CAC calculator. Physicians and patients are very familiar with blood pressure and lipids, but unfamiliar with CAC scores. Using the calculator makes it easy to see if a CAC value is low, moderate, or high, when a physician in the future communicate and discusses a CAC score with a patient. Published on behalf of the European Society of Cardiology. All rights reserved.
© The Author(s) 2021. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  CAC score; CT imaging; Coronary artery disease; Epidemiology; Percentile curve

Mesh:

Year:  2022        PMID: 34179988     DOI: 10.1093/eurjpc/zwab111

Source DB:  PubMed          Journal:  Eur J Prev Cardiol        ISSN: 2047-4873            Impact factor:   7.804


  1 in total

1.  Nonparametric percentile curve estimation for a nonnegative marker with excessive zeros.

Authors:  Oke Gerke; Robyn L McClelland
Journal:  MethodsX       Date:  2022-06-15
  1 in total

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