ArticleMedicine2019
Development of model to predict end-stage renal disease after coronary artery bypass grafting: The ACHE score.
Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Impacts of preoperative kidney function and acute kidney injury on long-term kidney failure after cardiac surgery: a registry-based cohort study.BMC nephrology · 2026Article
- Cardiac Surgery-Associated Acute Kidney Injury: Current Updates and Perspectives.Journal of clinical medicine · 2022Article
- A novel nomogram for predicting 3-year mortality in critically ill patients after coronary artery bypass grafting.BMC surgery · 2021Article
- Severity and Duration of Acute Kidney Injury and Chronic Kidney Disease after Cardiac Surgery.Journal of clinical medicine · 2021Article
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Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
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