The Role of Prognostic Nutritional Index in Predicting Coronary Slow Flow Phenomena

Background/Objectives: Coronary slow flow phenomenon (SSF) is a syndrome defined by the filling of low-velocity contrast material into the distal portion of one or more coronary arteries despite the absence of coronary artery stenosis on coronary angiography (CAG). The exact cause of this condition has not yet been determined. In our study, we planned to investigate the relationship between prognostic nutritional index (PNI) and BOS. Methods: In total, 2585 patients who underwent coronary angiography between October 2021 and October 2023 were included in the study. In total, 181 patients with BOS and available serum albumin and lymphocyte data were evaluated. Results: The mean age of the study group was 58 ± 11 years. Specifically, in univariate and multivariate regression analyses, age, diabetes mellitus (DM), hemoglobin (Hb), and PNI were found to be statistically significant in predicting BOS. In ROC analysis, the cut-off value for PNI was 39.01, with 76.2% sensitivity and 76.2% specificity (AUC: 0.788; 95% CI: 0.749-0.824) in predicting CSF. Conclusions: Our study demonstrated that PNI, an easily measured, accessible, and inexpensive parameter that reflects inflammation and nutritional status, can be used in predicting CSF.