ArticleBrazilian journal of cardiovascular surgery
Validation of Four Prediction Scores for Cardiac Surgery-Associated Acute Kidney Injury in Chinese Patients.
Article in Brazilian journal of cardiovascular surgery. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05079724 (Acute Kidney Injury After Cardiac Surgery in Patients Without Chronic Kidney Disease.), which is not on this map. Cited by 22 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Acute Kidney Injury After Cardiac Surgery in Patients Without Chronic Kidney Disease.
Who cites it
22 citing papers in PubMed.
- Article
- Exploring the Role of Central Venous Pressure in Cardiac Surgery-Associated Acute Kidney Injury: A Comprehensive Scoping Review.Archives of Iranian medicine · 2025Article
- Performance of Cleveland, Mehta, and Simplified Renal Index scores for predicting dialysis-requiring acute kidney injury after aorticRenal failure · 2025Article
- Machine Learning Based Prediction of Postoperative Acute Kidney Injury Risk in Coronary Artery Bypass Grafting Patients.Clinical interventions in aging · 2025Article
- Development and validation of a prediction model for acute kidney injury following cardiac valve surgery.Frontiers in medicine · 2025Article
- Combining cardiac and renal biomarkers to establish a clinical early prediction model for cardiac surgery-associated acute kidney injury: a prospective observational study.Journal of thoracic disease · 2024Article
- Association between hyperglycemia at ICU admission and postoperative acute kidney injury in patients undergoing cardiac surgery: Analysis of the MIMIC-IV database.Journal of intensive medicine · 2024Article
- Machine-learning predictions for acute kidney injuries after coronary artery bypass grafting: a real-life muticenter retrospective cohort study.BMC medical informatics and decision making · 2023Article
- Development, External Validation, and Visualization of Machine Learning Models for Predicting Occurrence of Acute Kidney Injury after Cardiac Surgery.Reviews in cardiovascular medicine · 2023Article
- Incorporating intraoperative blood pressure time-series variables to assist in prediction of acute kidney injury after type a acute aortic dissection repair: an interpretable machine learning model.Annals of medicine · 2023Article
- The value of the ACEF II score in Chinese patients with elective and non-elective cardiac surgery.BMC cardiovascular disorders · 2022Article
- Explainable Preoperative Automated Machine Learning Prediction Model for Cardiac Surgery-Associated Acute Kidney Injury.Journal of clinical medicine · 2022Article
- Prediction of acute kidney injury after cardiac surgery: model development using a Chinese electronic health record dataset.Journal of translational medicine · 2022Article
- Validation of Various Prediction Scores for Cardiac Surgery-Associated Acute Kidney Injury.Journal of the Saudi Heart Association · 2022Article
- Association between acute kidney injury and prognoses of cardiac surgery patients: Analysis of the MIMIC-III database.Frontiers in surgery · 2022Article
- Machine Learning for the Prediction of Complications in Patients After Mitral Valve Surgery.Frontiers in cardiovascular medicine · 2021Article
- Identification of risk factors for renal failure after cardiac surgery by RFILE classification.American journal of cardiovascular disease · 2021Article
- Risk factors of cardiac surgery-associated acute kidney injury: development and validation of a perioperative predictive nomogram.Journal of nephrology · 2019Observational
- Pre-, Intra-, and Post-Operative Factors for Kidney Injury of Patients Underwent Cardiac Surgery: A Retrospective Cohort Study.Medical science monitor : international medical journal of experimental and clinical research · 2019Observational
- Risk factors for postoperative acute kidney injury after cardiac surgery.Archivos peruanos de cardiologia y cirugia cardiovascularArticle
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo assess the clinical value of four models for the prediction of cardiac surgery-associated acute kidney injury (CSA-AKI) and severe AKI which renal replacement therapy was needed (RRT-AKI) in Chinese patients.
methods1587 patients who underwent cardiac surgery in the department of cardiac surgery in the Zhongshan Hospital, Fudan University, between January 2013 and December 2013 were enrolled in this research. Evaluating the predicting value for cardiac surgery-associated AKI (AKICS score) and RRT-AKI (Cleveland score, SRI and Mehta score) by Hosmer-Lemeshow goodness-of-fit test for the calibration and area under receiver operating characteristic curve (AUROC) for the discrimination.
resultsBased on 2012 KDIGO (Kidney Disease: Improving Global Outcomes) AKI definition, the incidence of AKI and RRT-AKI was 37.4% (594/1587) and 1.1% (18/1587), respectively. The mortality of AKI and RRT-AKI was 6.1% (36/594) and 66.7% (12/18), respectively, while the total mortality was 2.8% (44/1587). The discrimination (AUROC=0.610) for the prediction of CSA-AKI of AKICS was low, while the calibration (x2=7.55, P=0.109) was fair. For the prediction of RRT-AKI, the discrimination of Cleveland score (AUROC=0.684), Mehta score (AUROC=0.708) and SRI (AUROC=0.622) were not good; while the calibration of them were fair (Cleveland score x2=1.918, P=0.166; Mehta score x2=9.209, P=0.238; SRI x2=2.976, P=0.271).
conclusionIn our single-center study, based upon valve surgery dominant and less diabetes mellitus patients, according to KDIGO AKI definition, the predictive value of the four models, combining discrimination and calibration, for respective primary event, were not convincible.
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