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Information Journal Paper

Title

Prevalence and predictors of slow coronary flow phenomenon in Kermanshah province

Pages

  37-42

Abstract

 Introduction: This study was conducted to investigate prevalence and predictors of slow coronary flow phenomenon (SCF) phenomenon. Methods: This cross-sectional study was performed at Imam Ali Cardiovascular Hospital affiliated with the Kermanshah University of Medical Sciences (KUMS), Kermanshah province, Iran. From March 2017 to March 2019, all the patients who underwent coronary angiography were enrolled in this study. Data were obtained using a checklist developed based on the study’ s aims. Independent samples t tests and chi-square test (or Fisher exact test) were used to assess the differences between subgroups. Multiple logistic regression model was applied to evaluate independent predictors of SCF phenomenon. Results: In this study, 172 (1. 43%) patients with SCF phenomenon were identified. Patients with SCF were more likely to be obese (27. 58 ± 3. 28 vs. 24. 12 ± 3. 26, P < 0. 001), hyperlipidemic (44. 2 vs. 31. 7, P < 0. 001), hypertensive (53. 5 vs. 39. 1, P < 0. 001), and smoker (37. 2 vs. 27. 2, P = 0. 006). Mean ejection fraction (EF) (51. 91 ± 6. 33 vs. 55. 15 ± 9. 64, P < 0. 001) was significantly lower in the patients with SCF compared to the healthy controls with normal epicardial coronary arteries. Mean level of serum triglycerides (162. 26 ± 45. 94 vs. 145. 29 ± 35. 62, P < 0. 001) was significantly higher in the patients with SCF. Left anterior descending artery was the most common involved coronary artery (n = 159, 92. 4%), followed by left circumflex artery (n = 50, 29. 1%) and right coronary artery (n = 47, 27. 4%). Body mass index (BMI) (OR 1. 78, 95% CI 1. 04-2. 15, P < 0. 001) and hypertension (OR 1. 59, CI 1. 30-5. 67, P = 0. 003) were independent predictors of SCF phenomenon. Conclusion: The prevalence of SCF in our study was not different from the most other previous reports. BMI and hypertension independently predicted the presence of SCF phenomenon.

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    APA: Copy

    Rouzbahani, Mohammad, Farajolahi, Saeid, Montazeri, Nafiseh, JANJANI, PARISA, SALEHI, NAHID, RAI, ALIREZA, Heidari Moghadam, Reza, NADERIPOUR, ARSALAN, Kanjorpor, Asal, Javadirad, Etrat, & Azimivghar, Javad. (2021). Prevalence and predictors of slow coronary flow phenomenon in Kermanshah province. JOURNAL OF CARDIOVASCULAR AND THORACIC RESEARCH, 13(1), 37-42. SID. https://sid.ir/paper/775356/en

    Vancouver: Copy

    Rouzbahani Mohammad, Farajolahi Saeid, Montazeri Nafiseh, JANJANI PARISA, SALEHI NAHID, RAI ALIREZA, Heidari Moghadam Reza, NADERIPOUR ARSALAN, Kanjorpor Asal, Javadirad Etrat, Azimivghar Javad. Prevalence and predictors of slow coronary flow phenomenon in Kermanshah province. JOURNAL OF CARDIOVASCULAR AND THORACIC RESEARCH[Internet]. 2021;13(1):37-42. Available from: https://sid.ir/paper/775356/en

    IEEE: Copy

    Mohammad Rouzbahani, Saeid Farajolahi, Nafiseh Montazeri, PARISA JANJANI, NAHID SALEHI, ALIREZA RAI, Reza Heidari Moghadam, ARSALAN NADERIPOUR, Asal Kanjorpor, Etrat Javadirad, and Javad Azimivghar, “Prevalence and predictors of slow coronary flow phenomenon in Kermanshah province,” JOURNAL OF CARDIOVASCULAR AND THORACIC RESEARCH, vol. 13, no. 1, pp. 37–42, 2021, [Online]. Available: https://sid.ir/paper/775356/en

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