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DC Field | Value | Language |
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dc.contributor.author | Tonkin A.M. | en |
dc.contributor.author | Huynh Q. | en |
dc.contributor.author | Nicholls S.J. | en |
dc.contributor.author | Mitchell G.K. | en |
dc.contributor.author | Watts G.F. | en |
dc.contributor.author | Marwick T.H. | en |
dc.contributor.author | Venkataraman P. | en |
dc.contributor.author | Stanton T. | en |
dc.contributor.author | Liew D. | en |
dc.date.accessioned | 2021-05-14T09:51:04Z | en |
dc.date.available | 2021-05-14T09:51:04Z | en |
dc.date.copyright | 2020 | en |
dc.date.created | 20200825 | en |
dc.date.issued | 2020-08-25 | en |
dc.identifier.citation | Medical Journal of Australia. 213 (4) (pp 170-177), 2020. Date of Publication: 01 Aug 2020. | en |
dc.identifier.issn | 0025-729X | en |
dc.identifier.uri | https://repository.monashhealth.org/monashhealthjspui/handle/1/29182 | en |
dc.description.abstract | Objectives: To assess the predictive value of the Australian absolute cardiovascular disease risk (ACVDR) calculator and other assessment tools for identifying Australians with family histories of early onset coronary artery disease (CAD) who have coronary artery calcification. Design, setting, participants: People without known CAD were recruited at seven Australian hospitals, October 2016 - January 2019. Participants were aged 40-70 years, had a family history of early onset CAD, and a 5-year ACVDR of 2-15%. Main Outcome Measure(s): CT coronary artery calcium score greater than zero (any coronary calcification) or greater than 100 (calcification warranting lipid therapy). Result(s): 1059 participants were recruited; 477 (45%) had non-zero coronary artery calcium scores (median 5-year ACVDR, 4.8% [IQR, 2.9-7.6%]; median coronary artery calcium score, 41.7 [IQR, 8-124]); 582 (55%) did not (median 5-year ACVDR, 3.2% [IQR, 2.0-4.6%]). Of 151 participants with calcium scores of 100 or more, 116 (77%) were deemed to be at low cardiovascular risk by Australian guidelines, while 14 of 75 participants at intermediate risk (19%) had zero calcium scores. The sensitivity of the ACVDR calculator for identifying people with non-zero calcium scores (area under receiver operator curve [AUC], 0.674) was lower than that of the pooled cohort equation (AUC, 0.711; P < 0.001). ACVDR (10-year)- and Multi-Ethnic Study of Atherosclerosis (MESA)-predicted risk categories concurred for 511 participants (48%); classifications were concordant for 925 participants (87%) when the ACVDR was supplemented by calcium scores. Conclusion(s): Coronary artery calcium scoring should be considered as part of the heart health check for patients at intermediate ACVDR risk and with family histories of early onset CAD. Alternative risk calculators may better select such patients for further diagnostic testing and primary prevention therapy. Trial registration: Australian New Zealand Clinical Trials Registry, ACTRN 12614001294640; 11 December 2014 (prospective).Copyright © 2020 AMPCo Pty Ltd | en |
dc.language | en | en |
dc.language | English | en |
dc.publisher | John Wiley and Sons Inc. (P.O.Box 18667, Newark NJ 07191-8667, United States) | en |
dc.relation.ispartof | Medical Journal of Australia | en |
dc.subject.mesh | diagnostic test accuracy study | - |
dc.subject.mesh | family history | - |
dc.subject.mesh | coronary artery calcification | - |
dc.subject.mesh | coronary artery calcium score | - |
dc.subject.mesh | coronary artery disease | - |
dc.subject.mesh | hydroxymethylglutaryl coenzyme A reductase inhibitor | - |
dc.subject.mesh | computed tomography scanner | - |
dc.subject.mesh | aged | - |
dc.subject.mesh | cardiovascular disease assessment | - |
dc.subject.mesh | cardiovascular risk | - |
dc.subject.mesh | receiver operating characteristic | - |
dc.title | Coronary artery calcium scoring in cardiovascular risk assessment of people with family histories of early onset coronary artery disease. | en |
dc.type | Article | en |
dc.type.studyortrial | Observational study (cohort, case-control, cross sectional or survey) | - |
dc.identifier.doi | http://monash.idm.oclc.org/login?url=http://dx.doi.org/10.5694/mja2.50702 | - |
dc.publisher.place | Australia | en |
dc.identifier.pubmedid | 32729135 [http://www.ncbi.nlm.nih.gov/pubmed/?term=32729135] | en |
dc.identifier.source | 2005715623 | en |
dc.identifier.institution | (Venkataraman, Marwick) Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia (Stanton, Mitchell) University of Queensland, Brisbane, QLD, Australia (Liew, Nicholls, Tonkin) Monash University, Melbourne, VIC, Australia (Huynh) Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia (Nicholls) Monash Medical Centre, Melbourne, VIC, Australia (Watts) University of Western Australia, Perth, WA, Australia | en |
dc.description.address | T.H. Marwick, Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia. E-mail: Tom.Marwick@bakeridi.edu.au | en |
dc.description.publicationstatus | Embase | en |
dc.rights.statement | Copyright 2020 Elsevier B.V., All rights reserved. | en |
dc.subect.keywords | Calcium metabolism Cardiovascular risk factors Computed tomography Coronary artery disease Risk assessment | en |
dc.identifier.authoremail | Marwick T.H.; Tom.Marwick@bakeridi.edu.au | en |
dc.description.grant | Organization: (NHMRC) *National Health and Medical Research Council* Organization No: 501100000925 Country: Australia | en |
item.cerifentitytype | Publications | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.grantfulltext | none | - |
item.openairetype | Article | - |
Appears in Collections: | Articles |
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