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A new coronary artery disease grading system correlates with numerous routine parameters that were associated with atherosclerosis: a grading system for coronary artery disease severity

Authors Sponder M, Fritzer-Szekeres M, Marculescu R, Litschauer B, Strametz-Juranek J

Received 6 June 2014

Accepted for publication 21 August 2014

Published 7 November 2014 Volume 2014:10 Pages 641—647


Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Daniel Duprez

Michael Sponder,1 Monika Fritzer-Szekeres,2 Rodrig Marculescu,2 Brigitte Litschauer,3 Jeanette Strametz-Juranek1

1Department of Cardiology, 2Department of Medical-Chemical Laboratory Analysis, 3Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria

Background: Several scoring systems have tried to determine the severity of coronary artery disease (CAD) to investigate the connection between CAD severity and laboratory parameters.
Methods: In total, 189 male (mean age: 61.86±10.77 years) and 75 female CAD patients (mean age: 67.84±7.70 years) were recruited and underwent angiography, which determined stenosis grade, of 17 coronary segments: no points for each nonstenosed segment or only calcified segments, one point for each stenosis from <30% to <50%, two points for each stenosis from 50% to <70%, and three points for each stenosis >70%. The points were added and should represent the severity of patients' CAD.
Results: The coronary score correlated positively with systolic blood pressure, creatinine, blood urea nitrogen, lipase, glucose, glycated hemoglobin, triglycerides, C-reactive protein, fibrinogen Clauss, and leukocytes, and correlated negatively with Cl-, iron, and high-density lipoprotein cholesterol. Stepwise multiple regression analysis with backward elimination revealed diabetes status, sex, and fibrinogen Clauss as significant predictors of coronary score.
Conclusion: The coronary score delivers a quite simple but very precise tool for the quantification of CAD severity. These results show plainly the connection between CAD severity and the lipid, glucose, coagulation, and immunologic status of CAD patients, and substantiate the importance of sufficient treatment in this group of patients – in particular, CAD patients suffering from type 2 diabetes mellitus. The coronary score would offer a suitable tool for the investigation of the connection between CAD and new biomarkers. Further studies are needed to investigate the correlation of the coronary score with outcome parameters (eg, death).

Keywords: coronary artery disease, grading system, angiography, diabetes mellitus, atherosclerosis

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