SCIENTIFIC JOURNAL of the Hungarian Society of Cardiology

Risk estimation algorithms for STEMI patients undergoing Primary Percutaneous Coronary Intervention

█ Review

DOI: 10.26430/CHUNGARICA.2020.50.4.272

Authors:
Domokos Dominika1, Szabó András2, Bánhegyi Gyöngyvér3, Becker Dávid1, Édes István Ferenc1, Ruzsa Zoltán1,4, Merkely Béla1, Hizoh István1
1Semmelweis Egyetem, Városmajori Szív- és Érgyógyászati Klinika, Budapest
2Semmelweis Egyetem, Aneszteziológiai és Intenzív Terápiás Klinika Városmajori Részleg, Budapest
3Független kutató
4Bács-Kiskun Megyei Oktatókórház, Invazív Kardiológiai Részleg, Kecskemét

Summary

Mortality risk of ST-segment elevation myocardial infarction (STEMI) patients shows high variability. To assess individual risk, several scoring systems have been developed and validated. Treatment approaches evolve with improving outcomes, and novel statistical methods allow more complex model constructions, therefore 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 (PPCI). 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.

ISSUE: CARDIOLOGIA HUNGARICA | 2020 | VOLUME 50, ISSUE 4

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