ArticleJournal of inflammation research2025
Development and Internal Validation of a Nomogram for Predicting Acute Kidney Injury After Cardiac Valve Surgery Using the Serum Uric Acid-to-Albumin Ratio.
Article in Journal of inflammation research, 2025. 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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1 citing paper in PubMed.
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11 authors.
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Abstract
Background: The serum Uric Acid-to-Albumin Ratio (sUAR) is a novel inflammatory indicator. We aimed to construct and validate a prediction model for acute kidney injury (AKI) following cardiac valve surgery (CVS) based on the preoperative sUAR. Methods: We retrospectively collected clinical data from adult patients undergoing CVS with cardiopulmonary bypass at the Heart Center of Henan Provincial People's Hospital between December 2020 to December 2021. The primary outcome was postoperative AKI, defined according to the KDIGO creatinine criteria. Patients were categorized as either AKI or non-AKI based on this outcome. Multivariate logistic regression to identify independent risk factors. A nomogram model was developed. The receiver operating characteristic (ROC) curve assessed discrimination. The calibration curve and Hosmer-Lemeshow test evaluated calibration. Clinical practicability was assessed through decision curve analysis (DCA) and clinical impact curve (CIC). The Bootstrap method was used for internal verification. Results: A total of 440 patients were enrolled, and the incidence of AKI was 33.4%. Multivariate analysis revealed that sUAR (per μmol/g, Conclusion: The prediction model incorporating sUAR provides reliable discrimination and clinical utility for assessing AKI risk following CVS.
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