Mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention

Istvan Hizoh, Dominika Domokos, Gyongyver Banhegyi, David Becker, Bela Merkely, Zoltan Ruzsa

Research output: Contribution to journalReview article

1 Citation (Scopus)

Abstract

Mortality risk of ST-segment elevation myocardial infarction (STEMI) patients shows high variability. In order to assess individual risk, a number of scoring systems have been developed and validated. Yet, as treatment approaches evolve over time with improving outcomes, there is a need to build new risk prediction algorithms to maintain/increase prognostic accuracy. One of the most relevant improvements of therapy is primary percutaneous coronary intervention (PCI). We overview the characteristics and discriminative performance of the most studied and some recently constructed mortality risk models that were validated in patients with STEMI who underwent primary PCI.

Original languageEnglish
Pages (from-to)1706-1720
Number of pages15
JournalJournal of Thoracic Disease
Volume12
Issue number4
DOIs
Publication statusPublished - Apr 1 2020

Keywords

  • Decision support techniques
  • Mortality
  • Percutaneous coronary intervention (PCI)
  • Risk assessment
  • ST-elevation myocardial infarction (STEMI)

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine

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