ArticleJournal of cardiac surgery2021
Development and validation of a model for predicting acute kidney injury after cardiac surgery in patients of advanced age.
Article in Journal of cardiac surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Machine learning for the prediction of acute kidney injury post cardiac surgery: a systematic review and meta-analysis.BMC medical informatics and decision making · 2026Pooled it
- Characterization of Risk Prediction Models for Acute Kidney Injury: A Systematic Review and Meta-analysis.JAMA network open · 2023Pooled it
- Prediction model of all-cause death based on balance ability among middle-aged and older Chinese adults of overweight and obesity.Frontiers in public health · 2022Trial
- Explainable machine learning models for early prediction of acute kidney injury after cardiac surgery.International urology and nephrology · 2026Article
- Application of artificial intelligence in predicting the results of open-heart surgery: a scoping review.BMC medical informatics and decision making · 2025Article
- Development and Internal Validation of a Nomogram for Predicting Acute Kidney Injury After Cardiac Valve Surgery Using the Serum Uric Acid-to-Albumin Ratio.Journal of inflammation research · 2025Article
- Adverse renal effects associated with cardiopulmonary bypass.Perfusion · 2024Review
- Article
- A new model to predict acute kidney injury after cardiac surgery in patients with renal insufficiency.Renal failure · 2022Article
- Development and Validation of a Personalized Model With Transfer Learning for Acute Kidney Injury Risk Estimation Using Electronic Health Records.JAMA network open · 2022Article
- Predicting mortality in acute kidney injury patients undergoing continuous renal replacement therapy using a visualization model: A retrospective study.Frontiers in physiology · 2022Article
- Development and validation of a model for predicting acute kidney injury after cardiac surgery in patients of advanced age.Journal of cardiac surgery · 2021Article
- Development and Validation of a Prediction Model for Survival in Diabetic Patients With Acute Kidney Injury.Frontiers in endocrinology · 2021Article
- Acute Kidney Injury following Cardiopulmonary Bypass: A Challenging Picture.Oxidative medicine and cellular longevity · 2021Review
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
objectiveTo develop a clinical model for predicting postoperative acute kidney injury (AKI) in patients of advanced age undergoing cardiac surgery.
methodsA total of 848 patients (aged ≥ 60 years) undergoing cardiac surgery were consecutively enrolled. Among them, 597 were randomly selected for the development set and the remaining 251 for the validation set. AKI was the primary outcome. To develop a model for predicting AKI, visualized as a nomogram, we performed logistic regression with variables selected by Lasso regression analysis. The discrimination, calibration, and clinical usefulness of the new model were assessed and compared with those of Cleveland Clinic score and Simplified Renal Index (SRI) score in the validation set.
resultsThe incidence of AKI was 61.8% in the development set. The new model included seven variables including preoperative serum creatinine, hypertension, preoperative uric acid, New York Heart Association classification ≥ 3, cardiopulmonary bypass time > 120 min, intraoperative red blood cell transfusion, and postoperative prolonged mechanical ventilation. In the validation set, the areas under the receiver operating characteristic curves for assessing discrimination of the new model, Cleveland Clinic score, and SRI score were 0.801, 0.670, and 0.627, respectively. Compared with the other two scores, the new model presented excellent calibration according to the calibration curves. Decision curve analysis presented the new model was more clinically useful than the other two scores.
conclusionsWe developed and validated a new model for predicting AKI after cardiac surgery in patients of advanced age, which may help clinicians assess patients' risk for AKI.
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