Clinical Predictors of Coronary Slow Flow in Female Patients

Abstract

Previously, the coronary slow flow (CSF) has been reported to be related to male sex, high BMI, and smoking. However, CSF is a clinical conditionseen in women and no studies have been conducted on this subject. We aimed to investigate predictors of coronary slow flow in female patients.METHODS: A total of 80 female patients, 40 of whom were normal (mean age: 51.9±5.2 years) and 40 with coronary slow flow(mean age: 54.6 ±7.7 years) were selected. TIMI frame counts were calculated, and data on demographics, comorbidities, and medication use were collected. CSF was defined as frame count >27.RESULTS: Percentage of diabetes mellitus (DM) was significantly higher in the CSF group ( 52.5 % vs. 22.5 %; p: 0.005). DM was found to be significant predictor of femalepatients with CSF in the multivariate logistic regression analysis (O.R: 3.44, 95%CI: 1.14–10.36; p: 0.028).DISCUSSION and CONCLUSION: We found that DM was significantly increased and only independent predictor of CSF in female patients with CSF.