Aortic arch calcification is strongly associated with Coronary artery calcification

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dc.authoridOnalan, Orhan/0000-0001-9780-7051
dc.contributor.authorAdar, Adem
dc.contributor.authorErkan, Hakan
dc.contributor.authorGokdeniz, Tayyar
dc.contributor.authorKaradeniz, Aysegul
dc.contributor.authorCavusoglu, Ismail Gokhan
dc.contributor.authorOnalan, Orhan
dc.date.accessioned2024-09-29T16:01:00Z
dc.date.available2024-09-29T16:01:00Z
dc.date.issued2015
dc.departmentKarabük Üniversitesien_US
dc.description.abstractBackground: We aimed to investigate the association between aortic arch and coronary artery calcification (CAC). We postulated that low- and high-risk CAC scores could be predicted with the evaluation of standard chest radiography for aortic arch calcification (AAC). Patients and methods: Consecutive patients who were referred for a multidetector computerized tomography (MDCT) examination were enrolled prospectively. All patients were scanned using a commercially available 64-slice MDCT scanner for the evaluation of CAC score. A four-point grading scale (0, 1, 2 and 3) was used to evaluate AAC on the standard posterior-anterior chest radiography images. Results: The study group consisted of 248 patients. Median age of the study group was 52 (IQR: 10) years, and 165 (67%) were male. AAC grades (r = 0.676, p < 0.0001) and age (r = 0.518, p < 0.0001) were significantly and positively correlated with CAC score. Presence of AAC was independently associated with the presence of CAC (OR: 11.20, 95% CI 4.25 to 29.52). An AAC grade of 2 was the strongest independent predictor of a high-risk CAC score (OR: 27.42, 95% CI 6.09 to 123.52). Receiver operating characteristics curve analysis yielded a strong predictive ability of AAC grades for a CAC score of >= 100 (AUC = 0.892, P < 0.0001), and 400 (AUC = 0.894, P < 0.0001). Absence of AAC had a sensitivity, specificity and accuracy of 90 %, 84% and 89 %, respectively, for a CAC score of < 100. An AAC grade of 2 predicted a CAC score of 400 with a sensitivity, specificity and accuracy of 68%, 98% and 95%, respectively. Conclusions: AAC is a strong and independent predictor of CAC. The discriminative performance of AAC is high in detecting patients with low- and high-risk CAC scores.en_US
dc.identifier.doi10.1024/0301-1526/a000415
dc.identifier.endpage114en_US
dc.identifier.issn0301-1526
dc.identifier.issue2en_US
dc.identifier.pmid25698388en_US
dc.identifier.scopus2-s2.0-84923191225en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage106en_US
dc.identifier.urihttps://doi.org/10.1024/0301-1526/a000415
dc.identifier.urihttps://hdl.handle.net/20.500.14619/5487
dc.identifier.volume44en_US
dc.identifier.wosWOS:000351253800004en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherVerlag Hans Huber Hogrefe Agen_US
dc.relation.ispartofVasa-European Journal of Vascular Medicineen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAortic arch calcificationen_US
dc.subjectcoronary artery calcificationen_US
dc.subjectcomputed tomographyen_US
dc.subjectchest radiographyen_US
dc.titleAortic arch calcification is strongly associated with Coronary artery calcificationen_US
dc.typeArticleen_US

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