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Development of model to predict end-stage renal disease after coronary artery bypass grafting: The ACHE score
DC Field | Value | Language |
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dc.contributor.author | Lee, Yeonhee | - |
dc.contributor.author | Park, Jiwon | - |
dc.contributor.author | Jang, Myoung-Jin | - |
dc.contributor.author | Moon, Hong Ran | - |
dc.contributor.author | Kim, Dong Ki | - |
dc.contributor.author | Oh, Kook-Hwan | - |
dc.contributor.author | Joo, Kwon Wook | - |
dc.contributor.author | Lim, Chun Soo | - |
dc.contributor.author | Kim, Yon Su | - |
dc.contributor.author | Na, Ki Young | - |
dc.contributor.author | Han, Seung Seok | - |
dc.date.accessioned | 2024-08-08T01:29:08Z | - |
dc.date.available | 2024-08-08T01:29:08Z | - |
dc.date.created | 2019-11-25 | - |
dc.date.created | 2019-11-25 | - |
dc.date.issued | 2019-05 | - |
dc.identifier.citation | Medicine, Vol.98 No.21, p. e15789 | - |
dc.identifier.issn | 0025-7974 | - |
dc.identifier.uri | https://hdl.handle.net/10371/206239 | - |
dc.description.abstract | Because end-stage renal disease (ESRD) increases the risks of morbidity and mortality, early detection and prevention of ESRD is a critical issue in clinical practice. However, no ESRD-prediction models have been developed or validated in patients undergoing coronary artery bypass grafting (CABG). This is a retrospective multicenter cohort study, recruited between January 2004 and December 2015. A cohort of 3089 patients undergoing CABG in two tertiary referral centers was analyzed to derive a risk-prediction model. The model was developed using Cox proportional hazard analyses, and its performance was assessed using C-statistics. The model was externally validated in an independent cohort of 279 patients. During the median follow-up of 6 years (maximum 13 years), ESRD occurred in 60 patients (2.0%). Through stepwise selection multivariate analyses, the following three variables were finally included in the ESRD-prediction model: postoperative Acute kidney injury, underlying Chronic kidney disease, and the number of antiHypertensive drugs (ACHE score). This model showed good performance in predicting ESRD with the following C-statistics: 0.89 (95% confidence interval [CI] 0.84-0.94) in the development cohort and 0.82 (95% CI 0.60-1.00) in the external validation cohort. The present ESRD-prediction model may be applicable to patients undergoing CABG, with the advantage of simplicity and preciseness. | - |
dc.language | 영어 | - |
dc.publisher | Lippincott Williams & Wilkins Ltd. | - |
dc.title | Development of model to predict end-stage renal disease after coronary artery bypass grafting: The ACHE score | - |
dc.type | Article | - |
dc.identifier.doi | 10.1097/MD.0000000000015789 | - |
dc.citation.journaltitle | Medicine | - |
dc.identifier.wosid | 000480714500049 | - |
dc.identifier.scopusid | 2-s2.0-85066867094 | - |
dc.citation.number | 21 | - |
dc.citation.startpage | e15789 | - |
dc.citation.volume | 98 | - |
dc.description.isOpenAccess | Y | - |
dc.contributor.affiliatedAuthor | Kim, Dong Ki | - |
dc.contributor.affiliatedAuthor | Oh, Kook-Hwan | - |
dc.contributor.affiliatedAuthor | Joo, Kwon Wook | - |
dc.contributor.affiliatedAuthor | Lim, Chun Soo | - |
dc.contributor.affiliatedAuthor | Kim, Yon Su | - |
dc.contributor.affiliatedAuthor | Na, Ki Young | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.subject.keywordPlus | CHRONIC KIDNEY-DISEASE | - |
dc.subject.keywordPlus | LONG-TERM MORTALITY | - |
dc.subject.keywordPlus | PROGNOSTIC MODELS | - |
dc.subject.keywordPlus | RISK | - |
dc.subject.keywordPlus | INJURY | - |
dc.subject.keywordPlus | DIALYSIS | - |
dc.subject.keywordPlus | OUTCOMES | - |
dc.subject.keywordPlus | DEATH | - |
dc.subject.keywordPlus | HEMODIALYSIS | - |
dc.subject.keywordPlus | SURVIVAL | - |
dc.subject.keywordAuthor | acute kidney injury | - |
dc.subject.keywordAuthor | chronic kidney disease | - |
dc.subject.keywordAuthor | coronary artery bypass grafting | - |
dc.subject.keywordAuthor | endstage renal disease | - |
dc.subject.keywordAuthor | hypertension | - |
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