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Mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention.


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.

SUBMITTER: Hizoh I 

PROVIDER: S-EPMC7212133 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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Mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention.

Hizoh Istvan I   Domokos Dominika D   Banhegyi Gyongyver G   Becker David D   Merkely Bela B   Ruzsa Zoltan Z  

Journal of thoracic disease 20200401 4


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 characterist  ...[more]

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