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A Risk Prediction Model for Operative Mortality after Heart Valve Surgery in a Korean Cohort
DC Field | Value | Language |
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dc.contributor.author | 이삭 | - |
dc.contributor.author | 이승현 | - |
dc.date.accessioned | 2021-12-28T17:05:29Z | - |
dc.date.available | 2021-12-28T17:05:29Z | - |
dc.date.issued | 2021-04 | - |
dc.identifier.issn | 2765-1606 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/186929 | - |
dc.description.abstract | Background: This study aimed to develop a new risk prediction model for operative mortality in a Korean cohort undergoing heart valve surgery using the Korea Heart Valve Surgery Registry (KHVSR) database. Methods: We analyzed data from 4,742 patients registered in the KHVSR who underwent heart valve surgery at 9 institutions between 2017 and 2018. A risk prediction model was developed for operative mortality, defined as death within 30 days after surgery or during the same hospitalization. A statistical model was generated with a scoring system by multiple logistic regression analyses. The performance of the model was evaluated by its discrimination and calibration abilities. Results: Operative mortality occurred in 142 patients. The final regression models identified 13 risk variables. The risk prediction model showed good discrimination, with a c-statistic of 0.805 and calibration with Hosmer-Lemeshow goodness-of-fit p-value of 0.630. The risk scores ranged from -1 to 15, and were associated with an increase in predicted mortality. The predicted mortality across the risk scores ranged from 0.3% to 80.6%. Conclusion: This risk prediction model using a scoring system specific to heart valve surgery was developed from the KHVSR database. The risk prediction model showed that operative mortality could be predicted well in a Korean cohort. | - |
dc.description.statementOfResponsibility | open | - |
dc.format | application/pdf | - |
dc.language | English | - |
dc.publisher | Korean Society for Thoracic and Cardiovascular Surgery | - |
dc.relation.isPartOf | Journal of Chest Surgery | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | A Risk Prediction Model for Operative Mortality after Heart Valve Surgery in a Korean Cohort | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Thoracic and Cardiovascular Surgery (흉부외과학교실) | - |
dc.contributor.googleauthor | Ho Jin Kim | - |
dc.contributor.googleauthor | Joon Bum Kim | - |
dc.contributor.googleauthor | Seon-Ok Kim | - |
dc.contributor.googleauthor | Sung-Cheol Yun | - |
dc.contributor.googleauthor | Sak Lee | - |
dc.contributor.googleauthor | Cheong Lim | - |
dc.contributor.googleauthor | Jae Woong Choi | - |
dc.contributor.googleauthor | Ho Young Hwang | - |
dc.contributor.googleauthor | Kyung Hwan Kim | - |
dc.contributor.googleauthor | Seung Hyun Lee | - |
dc.contributor.googleauthor | Jae Suk Yoo | - |
dc.contributor.googleauthor | Kiick Sung | - |
dc.contributor.googleauthor | Hyung Gon Je | - |
dc.contributor.googleauthor | Soon Chang Hong | - |
dc.contributor.googleauthor | Yun Jung Kim | - |
dc.contributor.googleauthor | Sung-Hyun Kim | - |
dc.contributor.googleauthor | Byung-Chul Chang | - |
dc.identifier.doi | 10.5090/jcs.20.102 | - |
dc.contributor.localId | A02807 | - |
dc.contributor.localId | A02935 | - |
dc.relation.journalcode | J04004 | - |
dc.identifier.eissn | 2765-1614 | - |
dc.identifier.pmid | 33790059 | - |
dc.subject.keyword | Heart valve surgery | - |
dc.subject.keyword | Mortality | - |
dc.subject.keyword | Risk prediction model | - |
dc.contributor.affiliatedAuthor | 이삭 | - |
dc.contributor.affiliatedAuthor | 이승현 | - |
dc.citation.volume | 54 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 88 | - |
dc.citation.endPage | 98 | - |
dc.identifier.bibliographicCitation | Journal of Chest Surgery, Vol.54(2) : 88-98, 2021-04 | - |
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