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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
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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. |
format | Online Article Text |
id | pubmed-7212133 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
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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