Carotid Artery Imaging Is More Strongly Associated With the 10-Year Atherosclerotic Cardiovascular Disease Score Than Coronary Artery Imaging.
Aged
Atherosclerosis
/ diagnostic imaging
Cardiovascular Diseases
/ diagnostic imaging
Carotid Artery Diseases
/ diagnostic imaging
Computed Tomography Angiography
/ methods
Contrast Media
Coronary Angiography
/ methods
Coronary Vessels
/ diagnostic imaging
Female
Humans
Iopamidol
Male
Middle Aged
Predictive Value of Tests
Retrospective Studies
Risk Assessment
Risk Factors
Severity of Illness Index
Journal
Journal of computer assisted tomography
ISSN: 1532-3145
Titre abrégé: J Comput Assist Tomogr
Pays: United States
ID NLM: 7703942
Informations de publication
Date de publication:
Historique:
entrez:
15
10
2019
pubmed:
15
10
2019
medline:
23
10
2019
Statut:
ppublish
Résumé
The aim of this study was to compare coronary and carotid artery imaging and determine which one shows the strongest association with atherosclerotic cardiovascular disease (ASCVD) score. Two separate series patients who underwent either coronary computed tomography angiography (CTA) or carotid CTA were included. We recorded the ASCVD scores and assessed the CTA imaging. Two thirds were used to build predictive models, and the remaining one third generated predicted ASCVD scores. The Bland-Altman analysis analyzed the concordance. A total of 110 patients were included in each group. There was no significant difference between clinical characteristics. Three imaging variables were included in the carotid model. Two coronary models (presence of calcium or Agatston score) were created. The bias between true and predicted ASCVD scores was 0.37 ± 5.72% on the carotid model, and 2.07 ± 7.18% and 2.47 ± 7.82% on coronary artery models, respectively. Both carotid and coronary artery imaging features can predict ASCVD score. The carotid artery was more associated to the ASCVD score than the coronary artery.
Identifiants
pubmed: 31609291
doi: 10.1097/RCT.0000000000000920
pii: 00004728-201909000-00002
pmc: PMC8063719
mid: NIHMS1680850
doi:
Substances chimiques
Contrast Media
0
Iopamidol
JR13W81H44
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
679-685Subventions
Organisme : NIDDK NIH HHS
ID : P30 DK116074
Pays : United States
Références
JAMA. 2018 Jul 17;320(3):281-297
pubmed: 29998301
Int J Clin Exp Med. 2015 Oct 15;8(10):18591-600
pubmed: 26770472
Eur Heart J. 2018 Jul 1;39(25):2401-2408
pubmed: 29688297
J Vasc Surg. 2018 Nov;68(5):1390-1395
pubmed: 29804741
J Am Coll Cardiol. 2019 Jun 25;73(24):e285-e350
pubmed: 30423393
Atherosclerosis. 2012 Jan;220(1):128-33
pubmed: 21764060
J Am Coll Cardiol. 2014 Jul 1;63(25 Pt B):2935-2959
pubmed: 24239921
J Am Coll Cardiol. 2015 Oct 13;66(15):1643-53
pubmed: 26449133
Eur Heart J Cardiovasc Imaging. 2018 Sep 1;19(9):1042-1050
pubmed: 29059296
Br J Radiol. 2015 Feb;88(1046):20140594
pubmed: 25494818
AJNR Am J Neuroradiol. 2008 May;29(5):875-82
pubmed: 18272562
AJNR Am J Neuroradiol. 1996 Nov-Dec;17(10):1881-90
pubmed: 8933872
J Atheroscler Thromb. 2017 Mar 1;24(3):227-239
pubmed: 27904029
Arch Intern Med. 2008 Jun 23;168(12):1333-9
pubmed: 18574091
Atherosclerosis. 2018 Sep;276:195-202
pubmed: 29970256
J Am Heart Assoc. 2017 Feb 14;6(2):
pubmed: 28196817
JAMA. 2018 Jul 17;320(3):242-244
pubmed: 29998347
JACC Cardiovasc Imaging. 2017 Feb;10(2):143-153
pubmed: 27665163
Eur Heart J Cardiovasc Imaging. 2014 Mar;15(3):267-74
pubmed: 23966421
J Am Coll Cardiol. 1990 Mar 15;15(4):827-32
pubmed: 2407762
Clin Interv Aging. 2015 Jul 07;10:1111-9
pubmed: 26185430
J Am Coll Cardiol. 2019 Jun 25;73(24):3153-3167
pubmed: 30423392
Circulation. 2017 Jan 10;135(2):153-165
pubmed: 27881560
Coron Artery Dis. 2008 Nov;19(7):475-9
pubmed: 18923243
J Am Coll Cardiol. 2014 Jul 1;63(25 Pt B):2889-934
pubmed: 24239923
Circulation. 2014 Jun 24;129(25 Suppl 2):S1-45
pubmed: 24222016
Stroke. 1991 Jun;22(6):711-20
pubmed: 2057968
J Am Coll Cardiol. 2014 Jun 3;63(21):2301-2
pubmed: 24613323
Br J Radiol. 2018 Apr;91(1084):20170637
pubmed: 29308915