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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.

Introduction: Acute myocardial infarction (AMI) is a leading cause of death and disability worldwide. Determining seasonal pattern of AMI may contribute to disease prevention and better treatment. Objective: The present study was conducted to investigate daily, monthly, and seasonal pattern for symptoms҆ onset in the patients with ST-segment elevation myocardial infarction (STEMI), and also other possible associated factors. Methods: This cross-sectional study was conducted on 777 patients diagnosed with STEMI admitted at the Imam Ali Cardiovascular Hospital affiliated with Kermanshah University of Medical Sciences (KUMS), Kermanshah province, Iran from March 2018 to February 2019. Data were collected using a checklist developed based on the study's objectives. Differences between subgroups were assessed using one-way analysis of variance (ANOVA) followed by Tukeys҆ post‐hoc test and Chi-Square test (or Fishers҆ exact test). Results: Out of 777 patients, 616 (79.3%) of them were male. Mean age of the patients was (mean±SD) equal to 60.93±12.86 years old. Occurrence of STEMI was most common in winter (38.4%), followed by autumn (27.8%), spring (22.9%), and summer (10.9%), respectively. Monthly occurrence of AMI was at the highest level in January (10.8%) and December (9.9%), and it was at the lowest level in July (4.9 %). Most patients were admitted on Fridays (15.8%) and Wednesdays (15.6%). Hypercholesterolemia, prior congestive heart failure (CHF), prior MI, prior stroke, prior atrial fibrillation (AF), low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglycerides, total cholesterol, creatine phosphokinase (CPK), and creatine kinase myocardial band (CK-MB) were significantly associated with seasonal pattern of STEMI (p-value<0.05). Conclusions: Results of the present study on Iranian patients with STEMI revealed that AMI occurred more frequently on Wednesdays and Fridays and during winter from December to January compared to the other days of the week, months, and seasons.

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Background: The present study aimed to investigate the psychological determinants of adherence to treatment among patients with cardiovascular diseases (CVDs) referring to Imam Ali Hospital in Kermanshah, Iran. Methods: This cross-sectional study was conducted on 227 patients (mean age=58.10, SD = 13.44) with CVDs, randomly selected amongst those admitted to Imam Ali cardiovascular center of Kermanshah in 2018. Data were collected through Meaning in Life Questionnaire (MLQ), the Jefferson Scale of Patient’s Perceptions of Physician Empathy (JSPPPE), the Illness Perception Questionnaire (IPQ), and Adherence to Treatment Questionnaire. The relationships between the criterion and predictor variables were assessed using Pearson correlation coefficient and linear regression (stepwise method) in IBM SPSS Statistics-23. Results: The adherence to treatment was associated with meaning in life (r=0.367), patients’ perceptions of physician empathy (r=0.218), and illness perception (r=-0.238), at the 0.01 level. Meaning in life, patient’s perceptions of physician empathy, and illness perception explained 18.6% of the variance in adherence to treatment. Meaning in life (beta=0.367 and P≤0.001) was the most influential predictor of adherence to treatment. Additionally, there was a significant difference in the score of adherence to treatment by gender (23.46±4.42 for female vs. 24.77±3.53 for male, P = 0.030). Conclusion: The patients’ perceptions of physician empathy, meaning in life, and illness perception were important factors to predict adherence to treatment in patients with CVDs. Gender was a significant predictor of the adherence to treatment.

Background: Identifying the long-term predictors of recurrent cardiovascular events may help improve the quality of care and prevent subsequent events. We aimed to investigate the predictors of 1-year major cardiovascular events (MACE) in patients discharged after ST-elevation myocardial infarction (STEMI) in a tertiary hospital in Iran. Methods: This registry-based cohort study included consecutive STEMI patients between 2016 and 2019 in Imam-Ali Hospital, Kermanshah, Iran. All patients discharged alive from STEMI hospitalization were followed up for 1 year for MACE, consisting of all-cause mortality, nonfatal MI, and nonfatal stroke. We estimated the hazard ratio (HR) and the 95% confidence interval (95% CI) using Cox proportional-hazard models to evaluate potential predictors, including demographic characteristics, medical history, cardiovascular risk factors, laboratory tests, reperfusion therapy, and medications. Results: During 2187.2 person-years, 21 patients were lost to follow-up (success rate =99.1%). Of 2274 post-discharge STEMI patients (mean age =60.26 y; 21.9% female), 151 (6.6%) experienced MACE, including, all-cause mortality (n=115, 5.1%), nonfatal MI (n=20, 0.9%), and nonfatal stroke (n=16, 0.7%). Independent predictors of MACE were age (HR:1.02; 95% CI: 1.00–1.04), no education vs ≥12 years of formal schooling (HR: 2.07; 95% CI: 1.17–3.67), stroke history (HR: 2.37; 95% CI: 1.48–3.81), the glomerular filtration rate (HR: 0.98; 95% CI: 0.97–1.00), the body mass index (HR: 0.94; 95% CI:, 0.89–0.99), peak creatine kinase-MB (HR: 1.00; 95% CI: 1.00–1.002), thrombolysis vs primary percutaneous coronary intervention (HR: 1.85; 95% CI: 1.21–2.81), and left ventricular ejection fraction <35% vs ≥50% (HR: 2.82; 95% CI: 1.46–5.47). Conclusion: Age, education, stroke history, the glomerular filtration rate, the body mass index, peak creatine kinase-MB, reperfusion therapy, and left ventricular function can be independently associated with 1-year MACE.

Background: Considerable variability in survival rate after ST-segment elevation myocardial infarction (STEMI) is present and outcomes remain suboptimal, especially in low- and middle-income contraries. This study aimed to investigate predictors of 30- day mortality after STEMI, including reperfusion therapy, in a tertiary hospital in western Iran. Methods: In this registry-based cohort study (2016–2019), we investigated reperfusion therapies – primary percutaneous coronary intervention (PPCI), pharmaco-invasive (thrombolysis followed by angiography/percutaneous coronary intervention), and thrombolysis alone – used in Imam-Ali hospital, the only hospital with a PPCI capability in the Kermanshah Province. We estimated hazard ratios (HRs) and 95% confidence intervals (CIs), using Cox proportional-hazard models, to investigate the potential predictors of 30-day mortality including reperfusion therapy, admission types (direct admission/referral from non-PPCI-capable hospitals), demographic variables, coronary risk factors, vital signs on admission, medical history, and laboratory tests. Results: Data of 2428 STEMI patients (mean age: 60.73; 22.9% female) were available. Reperfusion therapy was performed in 84% of patients (58% PPCI, 10% pharmaco-invasive, 16% thrombolysis alone). Only 17% of the referred patients had received thrombolysis at non-PPCI-capable hospitals. Among patients with thrombolysis, only 38.2% underwent coronary angiography/ percutaneous coronary intervention. The independent predictors of mortality were: no reperfusion therapy (HR: 2.01, 95% CI: 1.36–2.97), referral from non-PPCI-capable hospitals (1.73, 1.22–2.46), age (1.03, 1.01–1.04), glomerular filtration rate (0.97, 0.96–0.97), heart rate>100 bpm (1.94, 1.22–3.08), and systolic blood pressure<100 mm Hg (4.92, 3.43–7.04). Mortality was lower with the pharmaco-invasive approach, although statistically non-significant, than other reperfusion therapies. Conclusion: Reperfusion therapy, admission types, age, glomerular filtration rate, heart rate, and blood pressure were independently associated with 30-day mortality. Using a comprehensive STEMI network to increase reperfusion therapy, especially pharmaco-invasive therapy, is recommended.