ArticleJournal of geriatric cardiology : JGC2022
Development and validation of a nomogram for postoperative severe acute kidney injury in acute type A aortic dissection.
Article in Journal of geriatric cardiology : JGC, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Factors associated with postoperative acute kidney injury in stanford type a aortic dissection in china: a systematic review and meta-analysis.Journal of cardiothoracic surgery · 2026Pooled it
- Early postoperative acute kidney injury prediction in patients with acute type A aortic dissection.iScience · 2026Article
- Integrated biomarker model based on cTnI, BNP, and D-dimer for early risk stratification in acute aortic dissection.Frontiers in cardiovascular medicine · 2026Article
- Effect of intraoperative hypotension depth and duration on acute kidney injury after Type A acute aortic dissection repair: An observational cohort study based on early risk stratification models.Journal of anesthesia and translational medicine · 2025Article
- Preoperative serum Raman spectroscopy and machine learning for predicting postoperative acute kidney injury after acute type A aortic dissection.Renal failure · 2025Article
- Development and validation of a nomogram for predicting acute kidney injury risks in patients undergoing acute stanford type A aortic dissection repair surgery.BMC nephrology · 2025Article
- Article
- Machine Learning Model-Based Prediction of In-Hospital Acute Kidney Injury Risk in Acute Aortic Dissection Patients.Reviews in cardiovascular medicine · 2025Article
- Development and Validation of a Nomogram for Predicting Acute Kidney Injury in Pediatric Patients Undergoing Cardiac Surgery.Pediatric cardiology · 2025Article
- AKI prediction model in acute aortic dissection surgery: nomogram development and validation.Frontiers in medicine · 2025Article
- Article
- Sex differences in the association between D-dimer and the incidence of acute kidney injury in patients admitted with ST-segment elevation myocardial infarction: a retrospective observational study.Internal and emergency medicine · 2024Observational
- 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
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPostoperative acute kidney injury (AKI) is a major complication associated with increased morbidity and mortality after surgery for acute type A aortic dissection (AAAD). To the best of our knowledge, risk prediction models for AKI following AAAD surgery have not been reported. The goal of the present study was to develop a prediction model to predict severe AKI after AAAD surgery.
methodsA total of 485 patients who underwent AAAD surgery were enrolled and randomly divided into the training cohort (70%) and the validation cohort (30%). Severe AKI was defined as AKI stage III following the Kidney Disease: Improving Global Outcomes criteria. Preoperative variables, intraoperative variables and postoperative data were collected for analysis. Multivariable logistic regression analysis was performed to select predictors and develop a nomogram in the study cohort. The final prediction model was validated using the bootstrapping techniques and in the validation cohort.
resultsThe incidence of severe AKI was 23.0% (
conclusionsWe developed a prognostic model including age, cardiopulmonary bypass time, serum creatinine, and D-dimer to predict severe AKI after AAAD surgery. The prognostic model demonstrated an effective predictive capability for severe AKI, which may help improve risk stratification for poor in-hospital outcomes after AAAD surgery.
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