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Published on: August 28, 2018
Relation of ABO blood groups to coronary lesion complexity in patients with stable coronary artery disease
Ahmet Kaya1, İbrahim Halil Tanboğa, Mustafa Kurt
1Department of Cardiology, Faculty of Medicine, Ordu University; Ordu-Turkey. doktorahmetkaya@yahoo.com.
Insights
Non-O blood groups are linked to more complex coronary artery disease (CAD). This study in stable CAD patients found non-O blood type is an independent predictor of higher SYNTAX scores, indicating greater lesion complexity.
Area of Science:
- Cardiology
- Genetics
- Vascular Biology
Background:
- Coronary artery disease (CAD) complexity impacts treatment strategies.
- ABO blood groups are known genetic determinants with potential roles in vascular disease.
Purpose of the Study:
- To investigate the association between ABO blood groups and the complexity of coronary lesions.
- To determine if blood type is an independent predictor of high SYNTAX scores in stable CAD patients.
Main Methods:
- A cross-sectional study of 559 stable CAD patients.
- ABO blood group determination and SYNTAX score calculation.
- Statistical analysis including logistic regression to identify predictors of high SYNTAX score.
Main Results:
- Non-O blood group frequency was significantly higher in patients with higher SYNTAX scores (p<0.05).
- Non-O blood group was an independent predictor of high SYNTAX score (OR: 2.68, p<0.001).
- Left Ventricular Ejection Fraction (LV-EF), LDL, and estimated Glomerular Filtration Rate (e-GFR) were also independent predictors.
Conclusions:
- Significant associations exist between ABO blood groups and angiographic CAD complexity.
- Non-O blood groups may be associated with more complex coronary artery disease.
Objective:
We aimed to investigate the relationship between ABO blood groups and complexity of coronary lesions assessed by SYNTAX score (SS) in stable coronary artery disease (CAD) patients.
Methods:
Our cross-sectional and observational study population consisted of 559 stable CAD patients. From all patients, ABO blood group was determined and the SS was calculated as low SYNTAX score (0-22), intermediate SYNTAX (23-32) score and high SYNTAX score (>32). Statistical analysis was performed using Student's t-test or Mann-Whitney U test, ANOVA, or Kruskal-Wallis test and chi-square test. Multiple logistic regression analysis was used to identify the independent predictors of high SS.
Results:
The analysis between the SS tertiles revealed that the frequency of non-O blood group was significantly higher in the upper SS tertiles (56.2% vs. 75.9 vs. 80.2%, p<0.05). However, the frequencies of Rh types were similar in all tertiles. Multiple logistic regression analysis was applied for determining the predictors of high SS. Accordingly, non-O blood group (OR: 2.68, 95% CI 1.65-4.35, p<0.001), LV-EF (OR: 0.93, 95% CI 0.91-0.95, p<0.001), LDL(OR: 0.98, 95% CI 0.97-0.99, p<0.001), and e-GFR (OR: 0.99, 95% CI 0.98-0.98, p<0.001) were found to be the independent predictors of high SS.
Conclusion:
We showed that there were significant associations between ABO blood groups and complexity of angiographic CAD.
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