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Acute coronary syndromes (ACS) are one of the most common causes of morbidity and mortality worldwide. Primary percutaneous coronary intervention (pPCI) is the main treatment strategy to restore myocardial perfusion. However, the no-reflow phenomenon (NRP) may block coronary flow. The present study focused on assessing and contrasting predictive parameters for NRP in ACS patients. Our research is a retrospective analysis. We assessed the parameters significantly associated with NRP using Cox regression and Receiver operating characteristic (ROC) Curve analysis. The study included 5122 patients who met the criteria. The average age of the patients was 63.9 + 13.2, and 74.4% were male. It was observed that NRP developed in 1.8% of all patients. Age, hemoglobin (Hb), white blood cell (WBC), glucose and low density lipoprotein cholesterol (LDL-C) were determined to be independent predictors of NRP. The power of these parameters to predict NRP was similar, and WBC was the most predictive (Area Under Curve (AUC): 0.605 95% CI: 0.539-0.671, P  = .001). We believe that the use of these simple, practical, and routinely used hematological and biochemical parameters will help us predict the risk of developing NRP before pPCI. This information should improve management., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Although there are many scoring systems for acute coronary syndromes, there is no suitable score for early risk stratification during initial medical contact with non-ST-elevation myocardial infarction (NSTEMI) patients. The present study compared the Rapid Emergency Medicine Score (REMS), an easy-to-use scoring system in emergency departments, with the Global Registry of Acute Coronary Events (GRACE) score used for in-hospital mortality risk stratification of NSTEMI patients. The results were: (i) the REMS score outperformed the GRACE score in predicting the in-hospital mortality; (ii) in estimating in-hospital mortality, the sensitivity of the GRACE score was 88%, the specificity was 65%, while the sensitivity of the REMS score was 100% and the specificity was 76%; (iii) the AUC (Area Under Curve) value of the REMS score (AUC 0.89) was superior to the GRACE score (AUC 0.79) in the data obtained from Receiver operating characteristic (ROC) descriptive analysis, but not statistically significant ( P > .05). We suggest that the REMS score can be used to predict in-hospital mortality in patients with NSTEMI., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.