slow coronary flow
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Cytokine ◽  
2021 ◽  
pp. 155511
Author(s):  
Neda Roshanravan ◽  
Alireza Namazi Shabestari ◽  
Naimeh Mesri Alamdari ◽  
Alireza Ostadrahimi ◽  
Ahmad Separham ◽  
...  

2021 ◽  
Vol 13 (1) ◽  
pp. 37-42
Author(s):  
Mohammad Rouzbahani ◽  
Saeid Farajolahi ◽  
Nafiseh Montazeri ◽  
Parisa Janjani ◽  
Nahid Salehi ◽  
...  

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.


Author(s):  
Shahla Danaii ◽  
Sadaf Shiri ◽  
Sanam Dolati ◽  
Majid Ahmadi ◽  
Leila Ghahremani-Nasab ◽  
...  

Slow coronary flow (SCF) is a coronary artery disorder. Several inflammatory mediators have been reported to be associated with vascular homeostasis and endothelial dysfunction. The aim of this study was to investigate the association between cytokines and miRNAs in patients with SCF compared to the controls. In this regard, blood samples were acquired from 45 SCF patients and 45 age- and sex-matched healthy control subjects. Serum and peripheral blood mononuclear cells (PBMCs) were separated. Expression levels of miRNAs and cytokines in PBMCs were measured by real-time PCR. As a final point, serum levels of cytokines were quantified by ELISA. Expression levels of miR-1, miR-133, miR-208a, miR-206, miR-17, miR-29, miR-223, miR-326, and miR-155 as considerable indicators of inflammatory function significantly increased in SCF patients while the expression levels of miR-15a, miR-21, miR-25, miR-126, miR-17, miR-16 and miR-18a as considerable indicators of anti-inflammatory function significantly decreased in patients with SCF compared to the control group. Additionally, serum IL-1β, IL‐8, and TNF-α concentrations were significantly higher in the SCF group than controls. However, no significant differences were observed in IL-10 production in SCF patients compared to the controls. This study provided the potential role of miRNAs as biomarkers for SCF diagnosis as well as suitable markers for monitoring coronary artery disease (CAD) development in these patients. More investigations are still necessary to unravel the detailed essential mechanisms of circulating miRNA levels in patients with heart failure and SCF.


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