Tianjin Medical Journal ›› 2021, Vol. 49 ›› Issue (3): 281-284.doi: 10.11958/20202253

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The predictive value of R2CHA2DS2-VASc score for the risk of acute heart failure after acute myocardial infarction

LI Xin-hang1, LI Yuan-yang1, SUN Xu-sen2, QI Xin3, WEI Li-ping3△   

  1. 1 Tianjin University of Traditional Chinese Medicine, Tianjin 301600, China; 2 Huadong Hospital Affiliated to Fudan University; 3 Department of Cardiology, Tianjin Union Medical Center
  • Received:2020-08-11 Revised:2020-12-25 Published:2021-03-15 Online:2021-03-15

Abstract: Objective To investigate the predictive value of R2CHA2DS2-VASc score in acute heart failure (AHF) after acute myocardial infarction (AMI). Methods A total of 139 patients with AMI were enrolled in Tianjin Union Medical Center from January 2019 to December 2019. According to the presence of AHF after AMI in hospital, the patients were divided into the non-AHF group (n=94) and AHF group (n=45). General clinical data were used to calculate R2CHA2DS2-VASc score and to compare between the two groups. Spearman correlation analysis was performed to estimate the correlation between R2CHA2DS2-VASc score and Killip grading, and the correlation between R2CHA2DS2-VASc score and N-terminal pro-B type natriuretic peptide (NT-proBNP). Multivariate Logistic regression analysis were performed to estimate the contribution of clinical risk factors to trigger AHF after AMI. The value of the score in predicting AHF in patients with AMI was evaluated by ROC curve. Results Proportion of diabetes mellitus history, proportion of ischemic stroke/transient ischemic attack (TIA) history, proportion of heart failure history, NT-proBNP, Gensini score and R2CHA2DS2-VASc score were significantly higher in AHF group than those in non-AHF group (P<0.05). Spearman correlation analysis showed that R2CHA2DS2-VASc score was positively correlated with Killip grading and NT-proBNP (rs = 0.539 and 0.506 respectively, P<0.05). Multivariate Logistic regression analysis suggested that R2CHA2DS2-VASc score ≥ 4 and Gensini score ≥60 were the independent risk factor for AHF after AMI. The ROC analysis revealed the area under the R2CHA2DS2-VASc score curve was 0.826 (95%CI: 0.751-0.900), and the sensitivity and specificity were 57.8% and 92.6%, respectively. Conclusion R2CHA2DS2-VASc score has the value of predicting AHF after AMI.

Key words: myocardial infarction, heart failure, acute disease, R2CHA2DS2-VASc score