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Mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention

  
@article{JTD34802,
	author = {Istvan Hizoh and Dominika Domokos and Gyongyver Banhegyi and David Becker and Bela Merkely and Zoltan Ruzsa},
	title = {Mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention},
	journal = {Journal of Thoracic Disease},
	volume = {12},
	number = {2},
	year = {2020},
	keywords = {},
	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.},
	issn = {2077-6624},	url = {http://jtd.amegroups.com/article/view/34802}
}