A pooled-analysis of age and sex based coronary artery calcium scores percentiles.
Adult
Age Distribution
Age Factors
Aged
Aged, 80 and over
Computed Tomography Angiography
Coronary Angiography
Coronary Artery Disease
/ diagnostic imaging
Female
Humans
Male
Middle Aged
Multidetector Computed Tomography
Nomograms
Predictive Value of Tests
Race Factors
Risk Factors
Sex Distribution
Sex Factors
Vascular Calcification
/ diagnostic imaging
Calcium score
Computed tomography
Coronary artery disease
Percentile nomogram
Journal
Journal of cardiovascular computed tomography
ISSN: 1876-861X
Titre abrégé: J Cardiovasc Comput Tomogr
Pays: United States
ID NLM: 101308347
Informations de publication
Date de publication:
Historique:
received:
08
01
2020
accepted:
23
01
2020
pubmed:
6
2
2020
medline:
7
10
2020
entrez:
6
2
2020
Statut:
ppublish
Résumé
Age and sex based coronary artery calcium score (CAC) percentiles have been used to improve coronary artery disease (CAD) risk prediction. However, the main limitation of the CACs percentiles currently in use is that they are often based on single studies. We performed a pooled analysis of all available studies that reported on CAC percentiles, in order to develop more generalizable age and sex nomograms. PubMed/Medline and Embase were searched for studies that reported nomograms of age and sex-based CACs percentiles. Studies were included if they reported data collected among asymptomatic individuals without a history of cardiovascular disease. Absolute CACs for each specific percentile stratum were pooled and new percentiles were generated taking into account the sample size of the study. We found 831 studies, of which 12 met the inclusion criteria. Data on CACs percentiles of 134,336 Western and 33,488 Asians were pooled separately, rendering a weighted CACs percentile nomogram available at https://www.calciumscorecalculator.com. Our weighted percentiles differed by up to 24% from the nomograms in use today. Our pooled age and sex based CACs percentiles based on over 155,000 individuals should provide a measure of risk that is more applicable to a wider population than the ones currently in use and hopefully will lead to better risk assessment and treatment decisions.
Sections du résumé
BACKGROUND
BACKGROUND
Age and sex based coronary artery calcium score (CAC) percentiles have been used to improve coronary artery disease (CAD) risk prediction. However, the main limitation of the CACs percentiles currently in use is that they are often based on single studies. We performed a pooled analysis of all available studies that reported on CAC percentiles, in order to develop more generalizable age and sex nomograms.
METHODS
METHODS
PubMed/Medline and Embase were searched for studies that reported nomograms of age and sex-based CACs percentiles. Studies were included if they reported data collected among asymptomatic individuals without a history of cardiovascular disease. Absolute CACs for each specific percentile stratum were pooled and new percentiles were generated taking into account the sample size of the study.
RESULTS
RESULTS
We found 831 studies, of which 12 met the inclusion criteria. Data on CACs percentiles of 134,336 Western and 33,488 Asians were pooled separately, rendering a weighted CACs percentile nomogram available at https://www.calciumscorecalculator.com. Our weighted percentiles differed by up to 24% from the nomograms in use today.
CONCLUSIONS
CONCLUSIONS
Our pooled age and sex based CACs percentiles based on over 155,000 individuals should provide a measure of risk that is more applicable to a wider population than the ones currently in use and hopefully will lead to better risk assessment and treatment decisions.
Identifiants
pubmed: 32019722
pii: S1934-5925(20)30023-X
doi: 10.1016/j.jcct.2020.01.006
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
414-420Informations de copyright
Copyright © 2020 [The Author/The Authors]. Published by Elsevier Inc. All rights reserved.