Clinical Interventions in Aging (Jul 2022)

Development and Validation of a Prediction Rule for Major Adverse Cardiac and Cerebrovascular Events in High-Risk Myocardial Infarction Patients After Primary Percutaneous Coronary Intervention

  • Zhao X,
  • Liu C,
  • Zhou P,
  • Sheng Z,
  • Li J,
  • Zhou J,
  • Chen R,
  • Wang Y,
  • Chen Y,
  • Song L,
  • Zhao H,
  • Yan H

Journal volume & issue
Vol. Volume 17
pp. 1099 – 1111

Abstract

Read online

Xiaoxiao Zhao,1 Chen Liu,1 Peng Zhou,1 Zhaoxue Sheng,1 Jiannan Li,1 Jinying Zhou,1 Runzhen Chen,1 Ying Wang,1 Yi Chen,1 Li Song,1 Hanjun Zhao,1 Hongbing Yan2 1Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, BeiJing, People’s Republic of China; 2Fuwai Hospital, Chinese Academy of Medical Sciences, Shenzhen, People’s Republic of ChinaCorrespondence: Hongbing Yan, Fuwai Hospital, Chinese Academy of Medical Sciences, 12 Langshan Road, Shenzhen, 518000, People’s Republic of China, Tel +86-13701339287, Email [email protected] Hanjun Zhao, Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences, No. 167, Beijing, 100037, People’s Republic of China, Tel +86-15210020808, Email [email protected] and Aims: We aimed to develop a clinical prediction tool to improve the prognosis of major adverse cardiac and cerebrovascular events (MACCE) among high-risk myocardial infarction (MI) patients undergoing primary percutaneous coronary intervention (PCI).Methods: The present study was a prospective and observational study. A total of 4151 consecutive MI patients who underwent primary PCI at Fuwai Hospital in Beijing, China (January 2010 and June 2017) were enrolled. Forty-eight patients without follow-up data were excluded from the study. The pre-specified criteria (Supplementary Information 1) were chosen to enroll MI patients at high risk for MACCE complications after PCI.Results: The full model included seven variables, with a risk score of 160 points. Derivation and validation cohort models predicting MACCE had C-statistics of 0.695 and 0.673. The area under the curve (AUC) of the survival receiver operating characteristic curve (ROC) for predicting MACCE was 0.991 and 0.883 in the derivation and validation cohorts, respectively.Conclusion: The predicted model was internally validated and calibrated in large cohorts of patients with high-risk MI receiving primary PCI to predict MACCE and showed modest accuracy in the derivation and validation cohorts.Keywords: primary percutaneous coronary intervention, high-risk, follow-up, risk prediction score

Keywords