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Predictors of unplanned 30-day readmissions after coronary artery bypass graft: A systematic review and meta-analysis of cohort studies
DC Field | Value | Language |
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dc.contributor.author | Son, YJ | - |
dc.contributor.author | Lee, HJ | - |
dc.contributor.author | Lim, SH | - |
dc.contributor.author | Hong, J | - |
dc.contributor.author | Seo, EJ | - |
dc.date.accessioned | 2023-01-10T00:38:56Z | - |
dc.date.available | 2023-01-10T00:38:56Z | - |
dc.date.issued | 2021 | - |
dc.identifier.issn | 1474-5151 | - |
dc.identifier.uri | http://repository.ajou.ac.kr/handle/201003/23848 | - |
dc.description.abstract | Aims: Coronary artery bypass graft (CABG) is one of the most performed cardiac surgery globally. CABG is known to have a high rate of short-term readmissions. The 30-day unplanned readmission rate as a quality measure is associated with adverse health outcomes. This study aimed to identify and synthesize the perioperative risk factors for 30-day unplanned readmission after CABG. Methods and results: We systematically searched seven databases and reviewed studies to identify all eligible English articles published from 1 October 1999 to 30 September 2019. Random-effect models were employed to perform pooled analyses. Odds ratio and 95% confidence interval were used to estimate the risk factors for 30-day unplanned readmission. The 30-day hospital readmission rates after CABG ranged from 9.2% to 18.9% in 14 cohort studies. Among preoperative characteristics, older adults, female, weight loss, high serum creatinine, anticoagulant use or dialysis, and comorbidities were found to be statistically significant. Postoperative complications, prolonged length of hospital stay, and mechanical ventilation were revealed as the postoperative risk factors for 30-day unplanned readmission. However, intraoperative risk factors were not found to be significant in this review. Conclusion: Our findings emphasize the importance of a comprehensive assessment during the perioperative period of CABG. Healthcare professionals can perform a readmission risk stratification and develop strategies to reduce readmission rates after CABG using the risk factors identified in this review. Future studies with prospective cohort samples are needed to identify the personal or psychosocial factors influencing readmission after CABG, including perioperative risk factors. | - |
dc.language.iso | en | - |
dc.subject.MESH | Aged | - |
dc.subject.MESH | Cohort Studies | - |
dc.subject.MESH | Coronary Artery Bypass | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Patient Readmission | - |
dc.subject.MESH | Postoperative Complications | - |
dc.subject.MESH | Retrospective Studies | - |
dc.subject.MESH | Risk Factors | - |
dc.title | Predictors of unplanned 30-day readmissions after coronary artery bypass graft: A systematic review and meta-analysis of cohort studies | - |
dc.type | Article | - |
dc.identifier.pmid | 33864067 | - |
dc.subject.keyword | Coronary artery bypass graft | - |
dc.subject.keyword | Readmission | - |
dc.subject.keyword | Risk factors | - |
dc.contributor.affiliatedAuthor | Lim, SH | - |
dc.contributor.affiliatedAuthor | Seo, EJ | - |
dc.type.local | Journal Papers | - |
dc.identifier.doi | 10.1093/eurjcn/zvab023 | - |
dc.citation.title | European journal of cardiovascular nursing | - |
dc.citation.volume | 20 | - |
dc.citation.number | 7 | - |
dc.citation.date | 2021 | - |
dc.citation.startPage | 717 | - |
dc.citation.endPage | 725 | - |
dc.identifier.bibliographicCitation | European journal of cardiovascular nursing, 20(7). : 717-725, 2021 | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.identifier.eissn | 1873-1953 | - |
dc.relation.journalid | J014745151 | - |
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