ArticleRenal failure2025
Performance of Cleveland, Mehta, and Simplified Renal Index scores for predicting dialysis-requiring acute kidney injury after aortic
Article in Renal failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Development of a multivariable clinical prediction model for acute kidney injury after valve replacement surgery: incremental value of the triglyceride-glucose body mass index.Journal of thoracic disease · 2026Article
- Machine learning-based prediction of postoperative continuous renal replacement therapy initiation after open thoracoabdominal aortic repair.BMC nephrology · 2026Article
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Authors and funding
8 authors.
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Abstract
Acute kidney injury requiring renal replacement therapy (RRT-AKI) is a serious complication after cardiac surgery, especially in aortic procedures. Validated risk models, such as the Cleveland Clinic Score, Mehta tool, and Simplified Renal Index (SRI) are widely applied, but their performance in predicting after aortic versus non-aortic cardiac surgery remains uncertain. We conducted a retrospective cohort study of 6,160 patients undergoing cardiac surgery (1,002 aortic and 5,158 non-aortic) (2006-2023) at a teaching hospital in Hong Kong. Predictive performance of the risk scores were assessed using the area under the receiver operating characteristic curve (AUC). Differences in AUC were assessed using DeLong's test. Hosmer-Lemeshow goodness-of-fit test was used to assess calibration. In this cohort, 3.2% developed RRT-AKI. RRT-AKI was more common after aortic surgery than non-aortic surgery (6.7
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