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Mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention

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...

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Autores principales: Hizoh, Istvan, Domokos, Dominika, Banhegyi, Gyongyver, Becker, David, Merkely, Bela, Ruzsa, Zoltan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7212133/
https://www.ncbi.nlm.nih.gov/pubmed/32395313
http://dx.doi.org/10.21037/jtd.2019.12.83
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author Hizoh, Istvan
Domokos, Dominika
Banhegyi, Gyongyver
Becker, David
Merkely, Bela
Ruzsa, Zoltan
author_facet Hizoh, Istvan
Domokos, Dominika
Banhegyi, Gyongyver
Becker, David
Merkely, Bela
Ruzsa, Zoltan
author_sort Hizoh, Istvan
collection PubMed
description 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.
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spelling pubmed-72121332020-05-11 Mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention Hizoh, Istvan Domokos, Dominika Banhegyi, Gyongyver Becker, David Merkely, Bela Ruzsa, Zoltan J Thorac Dis Review Article on Interventional Cardiology 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. AME Publishing Company 2020-04 /pmc/articles/PMC7212133/ /pubmed/32395313 http://dx.doi.org/10.21037/jtd.2019.12.83 Text en 2020 Journal of Thoracic Disease. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Review Article on Interventional Cardiology
Hizoh, Istvan
Domokos, Dominika
Banhegyi, Gyongyver
Becker, David
Merkely, Bela
Ruzsa, Zoltan
Mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention
title Mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention
title_full Mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention
title_fullStr Mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention
title_full_unstemmed Mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention
title_short Mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention
title_sort mortality prediction algorithms for patients undergoing primary percutaneous coronary intervention
topic Review Article on Interventional Cardiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7212133/
https://www.ncbi.nlm.nih.gov/pubmed/32395313
http://dx.doi.org/10.21037/jtd.2019.12.83
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