ArticlePeerJ2026
Evaluation of the Cleveland Clinic Score for predicting acute kidney injury across different elective cardiac surgeries-a retrospective study.
Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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
1 citing paper in PubMed.
- Novel nomogram for predicting acute kidney injury after cardiac surgery.Journal of thoracic disease · 2026Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Acute kidney injury (AKI) after cardiac surgery is a serious postoperative complication associated with an increased risk of mortality. The Cleveland Clinic Score (CCS) is one of the tools that allows preoperative assessment of the likelihood of developing AKI. However, the tool has not been validated in different types of cardiac surgery procedures. Our aim was to evaluate the CCS before different types of cardiac surgery and to assess the usefulness of this tool as a predictor of AKI. Methods: In this retrospective study we included patients who underwent elective cardiac surgery in 2023. Our endpoint was AKI, as defined by the Kidney Diseases Improving Global Outcomes (KDIGO) criteria. The predictive value for AKI after cardiac surgery (CCS) was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC) values. Results: A total of 610 patients underwent elective cardiac surgery. Patients with and without AKI were divided into CCS stages: stage I (57.8 Conclusions: The overall CCS value showed a moderate predictive ability for AKI (AUC 0.630) and particularly useful for predicting renal replacement therapy (RRT), but for individual groups the scale should be modified by adding several new factors.
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