The predictive value of serum fibrinogen and platelet distribution width for long-term cardiac death in acute myocardial infarction patients.

Abstract

Acute myocardial infarction (AMI) is the most severe manifestation of coronary heart disease (CHD), and timely and effective opening of the culprit vessels has been effective in reducing its mortality, but long-term death still threatens the life of patients. Therefore, finding biomarkers to predict death post-myocardial infarction (MI) is crucial. The aim of our study is to find biomarkers that predicted long-term death in Chinese AMI patients. This retrospective analysis included patients with AMI from 1 January 2017 to 30 September 2019. All patients were followed up at least 4 years. Propensity score matching was used to mitigate the influence of nonrandom selection in MI-survival and MI-death groups. Cox analysis was applied for analyzing the risk factors of death post-MI. The receiver operating characteristic (ROC) curve was used to analyze the predictive value of biomarkers. Of the 1,059 AMI patients analyzed, 130 died during follow-up. After propensity matching, there were 116 patients in each of the two groups. In addition to the traditional risk factors for long-term death post-MI, two important risk factors platelet distribution width (PDW) [hazard ratio (HR) =1.210, 95% confidence interval (CI): 1.080-1.356, P=0.001] and fibrinogen (HR =1.218, 95% CI: 1.027-1.444, P=0.02) were found. The area under the curve (AUC) of PDW and fibrinogen was 0.604 (P=0.007) and 0.684 (P<0.001) respectively. The optimal thresholds were 13.05% and 3.562 g/L respectively. PDW and fibrinogen seem to be useful as biomarkers for long-term death prediction post-MI. The current research provides new insight into the prevention and treatment of death in Chinese patients post-MI.