BACKGROUND: To study the relationship of red cell distribution width (RDW) and N-terminal pro-brain natriuretic peptide (NT-proBNP) with the severity and prognosis of patients with acute coronary syndrome (ACS) receiving percutaneous coronary intervention (PCI). METHODS: A total of 396 patients were divided into four groups according to Gensini scores. They were divided into a major adverse cardiovascular event (MACE) group and a non-MACE group during follow-up. The baseline clinical data, blood biochemical indices, RDW, and NT-proBNP levels on the second day of admission were collected. The relationship of RDW and NT-proBNP with MACEs was analyzed by the Cox proportional hazard model, and risk stratification was conducted according to optimal cutoff values under ROC curves. RESULTS: RDW and NT-proBNP level were significantly positively correlated with Gensini score (p < 0.05). RDW and NT-proBNP level of the MACE group significantly exceeded those of the non-MACE group (p < 0.05). The AUC values of RDW and NT-proBNP level were 0.722 and 0.761, respectively. The optimal cutoff values were 31.86 and 1,486.65 pg/mL respectively. RDW of > 31.86 and NT-proBNP level of > 1,487.65 pg/mL were independent risk factors for MACEs in ACS patients. The patients were stratified according to the optimal cut-off values. Compared with the low-risk group, the MACE risks of middle-risk and high-risk groups increased 1.79-fold (p = 0.012) and 2.54-fold (p < 0.001), respectively. The patients had significantly different event-free survival rates (p < 0.001). CONCLUSIONS: RDW and NT-proBNP level were significantly correlated with the severity of ACS. They were independent predictors for MACEs in ACS patients.
BACKGROUND: To study the relationship of red cell distribution width (RDW) and N-terminal pro-brain natriuretic peptide (NT-proBNP) with the severity and prognosis of patients with acute coronary syndrome (ACS) receiving percutaneous coronary intervention (PCI). METHODS: A total of 396 patients were divided into four groups according to Gensini scores. They were divided into a major adverse cardiovascular event (MACE) group and a non-MACE group during follow-up. The baseline clinical data, blood biochemical indices, RDW, and NT-proBNP levels on the second day of admission were collected. The relationship of RDW and NT-proBNP with MACEs was analyzed by the Cox proportional hazard model, and risk stratification was conducted according to optimal cutoff values under ROC curves. RESULTS: RDW and NT-proBNP level were significantly positively correlated with Gensini score (p < 0.05). RDW and NT-proBNP level of the MACE group significantly exceeded those of the non-MACE group (p < 0.05). The AUC values of RDW and NT-proBNP level were 0.722 and 0.761, respectively. The optimal cutoff values were 31.86 and 1,486.65 pg/mL respectively. RDW of > 31.86 and NT-proBNP level of > 1,487.65 pg/mL were independent risk factors for MACEs in ACSpatients. The patients were stratified according to the optimal cut-off values. Compared with the low-risk group, the MACE risks of middle-risk and high-risk groups increased 1.79-fold (p = 0.012) and 2.54-fold (p < 0.001), respectively. The patients had significantly different event-free survival rates (p < 0.001). CONCLUSIONS: RDW and NT-proBNP level were significantly correlated with the severity of ACS. They were independent predictors for MACEs in ACSpatients.