Risk-Predictive Models for Adverse Events in Cardiac Surgery: A Review
Risk prediction models are an important part of assessing operative mortality and postoperative complication rates in current cardiac surgery practice. Furthermore, they guide clinical decision-making and perioperative patient management. In recent years, a variety of clinical prediction models have...
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| Format: | Article |
| Language: | English |
| Published: |
Compuscript Ltd
2024-01-01
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| Series: | Cardiovascular Innovations and Applications |
| Online Access: | https://www.scienceopen.com/hosted-document?doi=10.15212/CVIA.2023.0083 |
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| _version_ | 1850191547341996032 |
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| author | Huan Luo |
| author_facet | Huan Luo |
| author_sort | Huan Luo |
| collection | DOAJ |
| description | Risk prediction models are an important part of assessing operative mortality and postoperative complication rates in current cardiac surgery practice. Furthermore, they guide clinical decision-making and perioperative patient management. In recent years, a variety of clinical prediction models have been developed in China and other countries to assess the risk of mortality and complications after cardiac surgery. Currently, the most widely used and mature models are the new version of the European Cardiac Surgery Evaluation System (EuroSCORE II), the American Society of Thoracic Surgeons Cardiac Surgery Risk Model (STS score), and the Chinese Coronary Artery Bypass Graft Surgery Risk Evaluation System (SinoSCORE). This article reviews the application of these three risk prediction models, to identify the optimal model for guiding clinical practice. |
| format | Article |
| id | doaj-art-b233930b7344402e97c2ca2b2de9dce6 |
| institution | OA Journals |
| issn | 2009-8618 2009-8782 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Compuscript Ltd |
| record_format | Article |
| series | Cardiovascular Innovations and Applications |
| spelling | doaj-art-b233930b7344402e97c2ca2b2de9dce62025-08-20T02:14:53ZengCompuscript LtdCardiovascular Innovations and Applications2009-86182009-87822024-01-019199710.15212/CVIA.2023.0083Risk-Predictive Models for Adverse Events in Cardiac Surgery: A ReviewHuan LuoRisk prediction models are an important part of assessing operative mortality and postoperative complication rates in current cardiac surgery practice. Furthermore, they guide clinical decision-making and perioperative patient management. In recent years, a variety of clinical prediction models have been developed in China and other countries to assess the risk of mortality and complications after cardiac surgery. Currently, the most widely used and mature models are the new version of the European Cardiac Surgery Evaluation System (EuroSCORE II), the American Society of Thoracic Surgeons Cardiac Surgery Risk Model (STS score), and the Chinese Coronary Artery Bypass Graft Surgery Risk Evaluation System (SinoSCORE). This article reviews the application of these three risk prediction models, to identify the optimal model for guiding clinical practice.https://www.scienceopen.com/hosted-document?doi=10.15212/CVIA.2023.0083 |
| spellingShingle | Huan Luo Risk-Predictive Models for Adverse Events in Cardiac Surgery: A Review Cardiovascular Innovations and Applications |
| title | Risk-Predictive Models for Adverse Events in Cardiac Surgery: A Review |
| title_full | Risk-Predictive Models for Adverse Events in Cardiac Surgery: A Review |
| title_fullStr | Risk-Predictive Models for Adverse Events in Cardiac Surgery: A Review |
| title_full_unstemmed | Risk-Predictive Models for Adverse Events in Cardiac Surgery: A Review |
| title_short | Risk-Predictive Models for Adverse Events in Cardiac Surgery: A Review |
| title_sort | risk predictive models for adverse events in cardiac surgery a review |
| url | https://www.scienceopen.com/hosted-document?doi=10.15212/CVIA.2023.0083 |
| work_keys_str_mv | AT huanluo riskpredictivemodelsforadverseeventsincardiacsurgeryareview |