ArticleBMC cardiovascular disorders2020
A novel nomogram to predict perioperative acute kidney injury following isolated coronary artery bypass grafting surgery with impaired left ventricular ejection fraction.
Article in BMC cardiovascular disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.
- Omega-3 Supplementation in Coronary Artery Bypass Graft Patients: Impact on ICU Stay and Hospital Stay-A Systematic Review and Meta-Analysis.Nutrients · 2024Pooled it
- Characterization of Risk Prediction Models for Acute Kidney Injury: A Systematic Review and Meta-analysis.JAMA network open · 2023Pooled it
- Determinants of the renal function after the coronary artery bypass grafting in chronic kidney disease patients: a prospective cohort study.Journal of cardiothoracic surgery · 2026Article
- Identification of Risk Factors and Prediction Models for Acute Kidney Injury in Hospitalized Elderly Patients with Heart Failure.Clinical interventions in aging · 2026Article
- Systematic Review and Meta-Analysis of Machine Learning Models for Acute Kidney Injury Risk Classification.Journal of the American Society of Nephrology : JASN · 2025Article
- Development and Validation of a Nomogram for Predicting Acute Kidney Injury in Pediatric Patients Undergoing Cardiac Surgery.Pediatric cardiology · 2025Article
- Development and evaluation of a dynamic nomogram model for intraoperative blood transfusion decision-making.Frontiers in medicine · 2025Article
- A New Risk Score for Predicting Postoperative Mortality in Suspected Heart Failure Patients Undergoing Valvular Surgery.Reviews in cardiovascular medicine · 2023Article
- Development and Validation of a Machine Learning Predictive Model for Cardiac Surgery-Associated Acute Kidney Injury.Journal of clinical medicine · 2023Article
- Predicting the risk of acute kidney injury after cardiopulmonary bypass: development and assessment of a new predictive nomogram.BMC anesthesiology · 2022Article
- A new model to predict acute kidney injury after cardiac surgery in patients with renal insufficiency.Renal failure · 2022Article
- Identification of the Best Anthropometric Index for Predicting the 10-Year Cardiovascular Disease in Southwest China: A Large Single-Center, Cross-Sectional Study.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 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
- Prediction Nomogram for Postoperative 30-Day Mortality in Acute Type A Aortic Dissection Patients Receiving Total Aortic Arch Replacement With Frozen Elephant Trunk Technique.Frontiers in cardiovascular medicine · 2022Article
- A novel nomogram for predicting 3-year mortality in critically ill patients after coronary artery bypass grafting.BMC surgery · 2021Article
- Acute Kidney Injury following Cardiopulmonary Bypass: A Challenging Picture.Oxidative medicine and cellular longevity · 2021Review
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
BACKGROUND AND
objectiveHeart failure (HF) is a global health issue, and coronary artery bypass graft (CABG) is one of the most effective surgical treatments for HF with coronary artery disease. Unfortunately, the incidence of postoperative acute kidney injury (AKI) is high in HF patients following CABG, and there are few tools to predict AKI after CABG surgery for such patients. The aim of this study is to establish a nomogram to predict the incidence of AKI after CABG in patients with impaired left ventricular ejection fraction (LVEF).
methodsFrom 2012 to 2017, Clinical information of 1208 consecutive patients who had LVEF< 50% and underwent isolated CABG was collected to establish a derivation cohort. A novel nomogram was developed using the logistic regression model to predict postoperative AKI among these patients. According to the same inclusion criteria and the same period, we extracted the data of patients from 6 other large cardiac centers in China (n = 540) from the China Heart Failure Surgery Registry (China-HFSR) database for external validation of the new model. The nomogram was compared with 3 other available models predicting renal failure after cardiac surgery in terms of calibration, discrimination and net benefit.
resultsIn the derivation cohort (n = 1208), 90 (7.45%) patients were diagnosed with postoperative AKI. The nomogram included 7 independent risk factors: female, increased preoperative creatinine(> 2 mg/dL), LVEF< 35%, previous myocardial infarction (MI), hypertension, cardiopulmonary bypass(CPB) used and perioperative blood transfusion. The area under the receiver operating characteristic curve (AUC) was 0.738, higher than the other 3 models. By comparing calibration curves and decision curve analyses (DCA) with other models, the novel nomogram showed better calibration and greater net benefit. Among the 540 patients in the validation cohort, 104 (19.3%) had postoperative AKI, and the novel nomogram performed better with respect to calibration, discrimination and net benefit.
conclusionsThe novel nomogram is a reliable model to predict postoperative AKI following isolated CABG for patients with impaired LVEF.
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