BACKGROUND: High red cell distribution width (RDW) is correlated with poor prognosis in acute coronary syndromes (ACS), including ST-segment elevation myocardial infarction (STEMI). However, the association of red cell distribution width to erythrocyte count ratio (RER) with STEMI undergoing percutaneous coronary intervention (PCI) during hospitalization has not been investigated. Therefore, we performed a retrospective study to investigate whether RER is associated with STEMI patients after PCI during hospitalization. METHODS: A total of 331 patients, who were hospitalized for STEMI and underwent PCI, were enrolled. Receiver operating characteristic curve (ROC) analyses were used to find the cutoff value of RER and classify the patients into two groups including higher RER group and lower RER group by cutoff value. Differences between measured parameters in higher RER and lower RER groups were analyzed by the Mann-Whitney U test. The evaluation correlation of RDW, red blood cell, and RER with major adverse cardiovascular events was determined by bivariate regression analysis. Univariate logistic regression analysis was used to determine the factors associated with adverse cardiovascular events during the hospitalization of STEMI patients. Multivariate logistic regression analysis was performed to evaluate the potential independent predictors of STEMI. RESULTS: According to ROC analysis, the cutoff value of RER and RDW is 3.10 and 13.9, the sensitivity is 51% and 35%, the specificity is 76% and 80%, respectively. RER showed improved diagnostic capacity compared to RDW in correlation with adverse cardiovascular events during hospitalization in STEMI patients (p < 0.001). Compared with the lower RER group, the incidence of adverse cardiovascular events in STEMI patients is elevated in the higher RER group (75% vs. 64.5%, p < 0.05). Bivariate regression analysis indicated that RER and RDW showed a good correlation with adverse cardiovascular events, and the difference was statistically significant (R = 0.10 p < 0.05 vs. R = 0.05 p < 0.05). Univariate logistic regression analysis showed that age, heart rate, left ventricular ejection fraction, hyperlipidemia, RDW, mean platelet volume, total cholesterol, and RER were correlated with the occurrence of adverse cardiovascular events during the hospitalization of STEMI patients (p < 0.05). Multivariate logistic regression analysis demonstrated that RER could be an independent predictor of adverse cardiovascular events in STEMI patients (B: 0.574, OR: 1.776, 95% CI: 1.043 ~ 3.023, p < 0.05). CONCLUSIONS: RER and RDW demonstrated good correlation with adverse cardiovascular events during hospitalization in STEMI patients. RER is a potential independent predictor of adverse cardiovascular events during hospitalization in STEMI patients.
BACKGROUND: High red cell distribution width (RDW) is correlated with poor prognosis in acute coronary syndromes (ACS), including ST-segment elevation myocardial infarction (STEMI). However, the association of red cell distribution width to erythrocyte count ratio (RER) with STEMI undergoing percutaneous coronary intervention (PCI) during hospitalization has not been investigated. Therefore, we performed a retrospective study to investigate whether RER is associated with STEMI patients after PCI during hospitalization. METHODS: A total of 331 patients, who were hospitalized for STEMI and underwent PCI, were enrolled. Receiver operating characteristic curve (ROC) analyses were used to find the cutoff value of RER and classify the patients into two groups including higher RER group and lower RER group by cutoff value. Differences between measured parameters in higher RER and lower RER groups were analyzed by the Mann-Whitney U test. The evaluation correlation of RDW, red blood cell, and RER with major adverse cardiovascular events was determined by bivariate regression analysis. Univariate logistic regression analysis was used to determine the factors associated with adverse cardiovascular events during the hospitalization of STEMI patients. Multivariate logistic regression analysis was performed to evaluate the potential independent predictors of STEMI. RESULTS: According to ROC analysis, the cutoff value of RER and RDW is 3.10 and 13.9, the sensitivity is 51% and 35%, the specificity is 76% and 80%, respectively. RER showed improved diagnostic capacity compared to RDW in correlation with adverse cardiovascular events during hospitalization in STEMI patients (p < 0.001). Compared with the lower RER group, the incidence of adverse cardiovascular events in STEMI patients is elevated in the higher RER group (75% vs. 64.5%, p < 0.05). Bivariate regression analysis indicated that RER and RDW showed a good correlation with adverse cardiovascular events, and the difference was statistically significant (R = 0.10 p < 0.05 vs. R = 0.05 p < 0.05). Univariate logistic regression analysis showed that age, heart rate, left ventricular ejection fraction, hyperlipidemia, RDW, mean platelet volume, total cholesterol, and RER were correlated with the occurrence of adverse cardiovascular events during the hospitalization of STEMI patients (p < 0.05). Multivariate logistic regression analysis demonstrated that RER could be an independent predictor of adverse cardiovascular events in STEMI patients (B: 0.574, OR: 1.776, 95% CI: 1.043 ~ 3.023, p < 0.05). CONCLUSIONS: RER and RDW demonstrated good correlation with adverse cardiovascular events during hospitalization in STEMI patients. RER is a potential independent predictor of adverse cardiovascular events during hospitalization in STEMI patients.