Coronary Artery Disease Detected by Coronary Computed Tomography Angiography is Associated with Red Cell Distribution Width

dc.contributor.authorKaracaglar, Emir
dc.contributor.authorBal, Ugur
dc.contributor.authorHasirci, Senem
dc.contributor.authorYilmaz, Mustafa
dc.contributor.authorDoganozu, Ersin
dc.contributor.authorCoskun, Mehmet
dc.contributor.authorAtar, Ilyas
dc.contributor.authorYildirir, Aylin
dc.contributor.authorMuderrisoglu, Haldun
dc.contributor.orcID0000-0002-2538-1642en_US
dc.contributor.orcID0000-0002-9446-2518en_US
dc.contributor.orcID0000-0002-8342-679Xen_US
dc.contributor.orcID0000-0002-2557-9579en_US
dc.contributor.orcID0000-0001-8750-5287en_US
dc.contributor.orcID0000-0002-9635-6313en_US
dc.contributor.pubmedID27774965en_US
dc.contributor.researcherIDABI-6723-2020en_US
dc.contributor.researcherIDAAK-4322-2021en_US
dc.contributor.researcherIDAAK-7805-2021en_US
dc.contributor.researcherIDS-6973-2016en_US
dc.contributor.researcherIDA-4947-2018en_US
dc.contributor.researcherIDAAG-8233-2020en_US
dc.date.accessioned2023-06-16T11:07:42Z
dc.date.available2023-06-16T11:07:42Z
dc.date.issued2016
dc.description.abstractObjective: Increased red blood cell distribution width (RDW) is associated with severity of coronary artery disease (CAD). The aim of the present study was to retrospectively evaluate the relationship between CAD detected by coronary computed tomography angiography (CCTA) and RDW. Methods: Records of 291 patients who underwent 16-slice CCTA due to the presence of angina-like chest pain were retrospectively evaluated. Exclusion criteria were applied. Clinical characteristics, risk factors for CAD, and RDW values on CCTA were noted. Results: RDW levels in patients with CAD were significantly higher than in those with normal coronary arteries (NCAs) (15.50 +/- 1.57 compared to 14.80 +/- 1.41, p=0.001). Diabetes mellitus, hypertension, and history of smoking were significantly more common in the CAD group (p=0.018, p=0.007, and p=0.013, respectively). On multivariate logistic regression analysis, RDW (p=0.009 [odds ratio (OR): 1.352; 95% confidence interval (CI): 1.081-1.683]), age (p<0.001 [OR: 1.063; 95% CI 1.031-1.090]), and history of smoking (p=0.003 [OR: 2.672; 95% CI: 1.360-5.232]) were shown to be independent predictors for CAD detected by CCTA. Conclusion: The present results suggest that higher RDW levels are independently associated with presence of CAD detected by CCTA in patients without known CAD. Further studies are warranted to clarify the exact role of RDW in risk stratification.en_US
dc.identifier.endpage574en_US
dc.identifier.issn1016-5169en_US
dc.identifier.issue7en_US
dc.identifier.scopus2-s2.0-84991275587en_US
dc.identifier.startpage570en_US
dc.identifier.urihttp://hdl.handle.net/11727/9664
dc.identifier.volume44en_US
dc.identifier.wos000392633400007en_US
dc.language.isoengen_US
dc.relation.isversionof10.5543/tkda.2016.45013en_US
dc.relation.journalTURK KARDIYOLOJI DERNEGI ARSIVI-ARCHIVES OF THE TURKISH SOCIETY OF CARDIOLOGYen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergien_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBiomarkersen_US
dc.subjectcoronary artery diseaseen_US
dc.subjectcoronary computed tomography angiographyen_US
dc.subjectred blood cell distribution widthen_US
dc.titleCoronary Artery Disease Detected by Coronary Computed Tomography Angiography is Associated with Red Cell Distribution Widthen_US
dc.typearticleen_US

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