Akademik Veri Yönetim Sistemi
E Journal of Cardiovascular Medicine, cilt.11, sa.2, ss.70-77, 2023 (Hakemli Dergi)
Objectives: The coronary slow-flow (CSF) phenomenon is a unique clinical angiographic entity defined as delayed coronary opacification without significant occlusive coronary artery disease. Although the etiology has not been clearly revealed, multifactorial causes that affect blood viscosity and thrombus formation are considered in the pathogenesis. We aim to investigate the usability of the novel Mean Platelet Volume-Age-Total Protein-Hematocrit (MAPH) score in predicting the CSF phenomenon. Materials and Methods:A total of 266 patients, 98 diagnosed with CSF and 168 with normal flow, were included in this retrospective cohort study. Coronary angiography images of these patients and blood samples during their hospitalization were retrospectively evaluated by two experienced cardiologists. CSF diagnosis was made according to TIMI-flow and TIMI frame-rate criteria. Results: In the analysis of the study, there were significant differences regarding age, smoking, hematocrit percentage, mean platelet volume, total protein, and MAPH score parameters (all p-values <0.01). In addition, multivariate analysis revealed that smoking, hematocrit percentage, total protein, and MAPH score parameters were independent predictors of the CSF phenomenon (all p-values <0.05). After the receiver operating characteristic curve analysis to show the discrimination of the MAPH score in the formation of CSF, the area under the curve was found to be 0.719 (95% confidence interval 0.656- 0.781, p<0.001). With a cut-off 2.5, the MAPH score sensitivity is 43%, and the specificity is 86% for predicting CSF. Conclusion: According to the findings of our study, we believe that the novel MAPH score can be used to predict blood viscosity in CSF. There is also a need for multicenter studies involving more patients on the subject. In the current situation, our study will contribute to the literature and can guide future studies.