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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.

Sponder M, Fritzer-Szekeres M, Marculescu R, Litschauer B, Strametz-Juranek J - Vasc Health Risk Manag (2014)

Bottom Line: Stepwise multiple regression analysis with backward elimination revealed diabetes status, sex, and fibrinogen Clauss as significant predictors of coronary score.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.Further studies are needed to investigate the correlation of the coronary score with outcome parameters (e.g., death).

View Article: PubMed Central - PubMed

Affiliation: Department of Cardiology, Medical University of Vienna, Vienna, Austria.

ABSTRACT

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 (e.g., death).

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Related in: MedlinePlus

Distribution of the score points within the study population.Abbreviation: Std dev, standard deviation.
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f1-vhrm-10-641: Distribution of the score points within the study population.Abbreviation: Std dev, standard deviation.

Mentions: The present study aimed to investigate the connection between the severity of CAD determined by the coronary score (as described in the “Materials and methods” section) and routine laboratory parameters, as well as CAD risk factors such as T2DM or physical activity in 264 CAD patients. The distribution of score points is shown in Figure 1. Table 1 shows anthropometric and hemodynamic data of the population, and Table 2 shows median levels (first and third quartile) of routine laboratory parameters, correlation coefficient (Spearman’s correlation), and P-value of the correlation with the coronary score.


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.

Sponder M, Fritzer-Szekeres M, Marculescu R, Litschauer B, Strametz-Juranek J - Vasc Health Risk Manag (2014)

Distribution of the score points within the study population.Abbreviation: Std dev, standard deviation.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4230172&req=5

f1-vhrm-10-641: Distribution of the score points within the study population.Abbreviation: Std dev, standard deviation.
Mentions: The present study aimed to investigate the connection between the severity of CAD determined by the coronary score (as described in the “Materials and methods” section) and routine laboratory parameters, as well as CAD risk factors such as T2DM or physical activity in 264 CAD patients. The distribution of score points is shown in Figure 1. Table 1 shows anthropometric and hemodynamic data of the population, and Table 2 shows median levels (first and third quartile) of routine laboratory parameters, correlation coefficient (Spearman’s correlation), and P-value of the correlation with the coronary score.

Bottom Line: Stepwise multiple regression analysis with backward elimination revealed diabetes status, sex, and fibrinogen Clauss as significant predictors of coronary score.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.Further studies are needed to investigate the correlation of the coronary score with outcome parameters (e.g., death).

View Article: PubMed Central - PubMed

Affiliation: Department of Cardiology, Medical University of Vienna, Vienna, Austria.

ABSTRACT

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 (e.g., death).

Show MeSH
Related in: MedlinePlus