Mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention

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

doi:10.21037/jtd.2019.12.83

Mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention

J Thorac Dis. 2020 Apr;12(4):1706-1720. doi: 10.21037/jtd.2019.12.83.

Authors

Istvan Hizoh¹, Dominika Domokos¹, Gyongyver Banhegyi², David Becker¹, Bela Merkely¹, Zoltan Ruzsa^{1

3}

Affiliations

¹ Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
² Independent Researcher, Budapest, Hungary.
³ Department of Invasive Cardiology, Bacs-Kiskun County University Teaching Hospital, Kecskemet, Hungary.

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.

Keywords: ST-elevation myocardial infarction (STEMI); decision support techniques; mortality; percutaneous coronary intervention (PCI); risk assessment.

Publication types

Review