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Risk factors and angiographic profile of coronary slow flow (CSF) phenomenon in North Indian population: An
Saibal Mukhopadhyay1, Mitesh Kumar1, Jamal Yusuf1
1Department of Cardiology, G. B. Pant Institute of Post Graduate Medical Education and Research (GIPMER), New Delhi, India.
Insights
Coronary slow flow (CSF) is linked to higher body mass index (BMI) in North India. This study found BMI to be the only independent risk factor for CSF in this population.
Area of Science:
- Cardiology
- Vascular Biology
- Public Health
Background:
- Coronary slow flow (CSF) is characterized by delayed opacification of coronary arteries without significant epicardial stenosis.
- Previous research indicates variable risk factors for CSF across different ethnic groups.
Purpose of the Study:
- To investigate the risk factors and angiographic profile of coronary slow flow (CSF) in the North Indian population.
- To address the lack of prior studies on CSF in this demographic.
Main Methods:
- A quantitative thrombolysis in myocardial infarction (TIMI) frame count method was used to assess CSF in 40 patients and 40 controls.
- Evaluated clinical risk factors (age, sex, BMI, diabetes, hypertension, dyslipidemia, smoking) and biochemical markers (hematocrit, platelet count, uric acid, homocysteine, fibrinogen, hsCRP, HbA1c).
Main Results:
- The study identified significantly higher BMI (p<0.001) and fibrinogen levels (p=0.04) in patients with CSF compared to controls.
- Smoking was also more prevalent in the CSF group (60.0% vs 35.0%, p=0.02).
- Multivariable regression analysis revealed body mass index (BMI) as the sole independent predictor of CSF (OR 1.613, p<0.001).
Conclusions:
- This study provides the first analysis of CSF's clinical presentation, angiographic profile, and risk factors in the North Indian population.
- Body mass index (BMI) emerged as the only independent risk factor associated with coronary slow flow in this cohort.
Background:
"Coronary slow flow'' (CSF) is delayed vessel opacification in the absence of epicardial stenosis. Studies in different ethnic groups have found variable risk factors associated with CSF.
Aim:
of present study was to analyze the risk factors and angiographic profile of CSF in North Indian population, not studied till date.
Methods:
40 patients with CSF and 40 controls were studied. CSF was determined quantitatively by thrombolysis in myocardial infarction (TIMI) frame count method. Various clinical risk factors (age, sex, body mass Index (BMI), diabetes, hypertension, dyslipidemia, smoking), hematological and biochemical parameters (hematocrit, platelet count, uric acid, homocysteine, fibrinogen, high sensitivity C reactive protein (hsCRP), glycosylated hemoglobin (HbA1c) were assessed.
Results:
Of the 40 patients with CSF, 37 (92.5%) were males. While 20 patients (50%) presented with chronic stable angina, rest 20 (50%) presented with acute coronary syndrome. [15 (37.5%) with unstable angina and 5 (12.5%) with non ST elevation myocardial infarction (NSTEMI)]. Patients with CSF had significantly higher BMI (27.27±2.82 vs. 24.12±2.35, p<0.001), fibrinogen levels (398.48±120.96 vs. 331.55±162.6, p=0.04) and smoking (24(60.0%) vs 14(35.0%), p=0.02). On multivariable regression analysis, only BMI was found to have an independent association with CSF (odds ratio 1.613, 95% confidence interval 1.265-2.057, p<0.001).
Conclusion:
This is the first study to analyze clinical presentation, angiographic profile and risk factors associated with CSF in North Indian population. In this study, we found only BMI to have an independent association with CSF.
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