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Thromboembolic risk scores in patients with non-obstructive coronary architecture with and without coronary slow
Ömer Genç1, Abdullah Yıldırım2, Gökhan Alıcı2
1Basaksehir Cam & Sakura City Hospital, Department of Cardiology, Istanbul, Turkey.
Insights
Thromboembolic risk scores, like CHA₂DS₂-VASc-HS, may predict coronary slow flow phenomenon (CSFP) in patients undergoing coronary angiography. The CHA₂DS₂-VASc-HS score demonstrated the best ability to identify CSFP.
Area of Science:
- Cardiology
- Vascular Medicine
- Diagnostic Imaging
Background:
- Coronary slow flow phenomenon (CSFP) on coronary angiography is linked to adverse outcomes.
- Assessing thromboembolic risk is crucial in cardiology practice.
Purpose of the Study:
- To investigate the association between routinely used thromboembolic risk scores and CSFP.
- To identify which risk score best predicts CSFP in patients with non-obstructive coronary artery disease.
Main Methods:
- A retrospective case-control study of 505 patients with angina and ischemia.
- Calculation of multiple thromboembolic risk scores (CHA₂DS₂-VASc, CHA₂DS₂-VASc-HS, ATRIA, etc.).
- Multivariable logistic regression and pairwise comparisons to assess risk score performance in predicting CSFP.
Main Results:
- Patients with CSFP had higher rates of male gender, diabetes, smoking, hyperlipidemia, and vascular disease.
- All calculated risk scores were significantly higher in the CSFP group.
- The CHA₂DS₂-VASc-HS score was the strongest predictor of CSFP (OR=1.90 per point increase) and showed the best discriminative performance (AUC=0.759) with a cutoff of ≥2.
Conclusions:
- Thromboembolic risk scores are associated with CSFP in patients with non-obstructive coronary arteries.
- The CHA₂DS₂-VASc-HS score is a valuable tool for identifying patients with CSFP.
Aim:
Coronary slow flow phenomenon (CSFP) detected on coronary angiography (CA) has been related to poor prognosis. We sought to examine the relationship between thromboembolic risk scores, routinely used in cardiology practice, and CSFP.
Methods:
This single-center, retrospective, case-control study comprised 505 individuals suffering from angina and had verified ischemia between January 2021 and January 2022. Demographic and laboratory parameters were obtained from the hospital database. The following risk scores were calculated; CHA2DS2-VASc, M-CHA2DS2-VASc, CHA2DS2-VASc-HS, R2-CHA2DS2-VASc, M-R2-CHA2DS2-VASc, ATRIA, M-ATRIA, M-ATRIA-HSV. The overall population was divided into two groups; coronary slow flow and coronary normal flow. Multivariable logistic regression was performed to compare risk scores between patients with and without CSFP. Pairwise comparisons were then undertaken to test performance in determining CSFP.
Results:
The mean age was 51.7 ± 10.7 years, of whom 63.2% were male. CSFP was detected in 222 patients. Those with CSFP had higher rates of male gender, diabetes, smoking, hyperlipidemia, and vascular disease. All scores were higher in CSFP patients. Multivariable logistic regression analysis found that CHA2DS2-VASc-HS score was the most powerful determinant of CSFP among all risk schemes (for each one-point increase in score OR = 1.90, p < 0.001; for score of 2-3 OR = 5.20, p < 0.001; for score of >4 OR = 13.89, p < 0.001). Also, the CHA2DS2-VASc-HS score provided the best discriminative performance, with a cut-off value of ≥2 in identifying CSFP (AUC = 0.759, p < 0.001).
Conclusion:
We showed that thromboembolic risk scores may be associated with CSFP in patients with non-obstructive coronary architecture who underwent CA. The CHA2DS2-VASc-HS score had the best discriminative ability.
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