ArticleGeneral thoracic and cardiovascular surgery2023
Postoperative nomogram and risk calculator of acute renal failure for Stanford type A aortic dissection surgery.
Article in General thoracic and cardiovascular surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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.
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Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- Systematic Review and Meta-analysis of Admission Inflammatory Biomarkers for Evaluating Prognosis in Acute Type A Aortic Dissection.Aorta (Stamford, Conn.) · 2025Article
- Machine Learning Model-Based Prediction of In-Hospital Acute Kidney Injury Risk in Acute Aortic Dissection Patients.Reviews in cardiovascular medicine · 2025Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThis study aimed to explore the risk factors of acute renal failure (ARF) after Stanford type A aortic dissection (AAD) surgery, establish a nomogram prediction model and calculate the risk of ARF. MATERIAL AND
methods241 AAD patients who received aortic surgery in the department of cardiovascular surgery, Zhongnan Hospital of Wuhan University were enrolled in this study. All enrolled patients were divided into the ARF group and non-ARF group. The clinical data of the two groups were collected and compared. The independent risk factors of ARF after aortic surgery were analyzed by univariate and multivariate logistic regression analyses. Moreover, a nomogram prediction model was generated. The calibration curve, ROC curve and independent external validation were performed to evaluate the nomogram prediction model.
results67 patients were diagnosed with ARF within 48 h after the operation. Univariate and multivariate logistic regression analyses showed that hypertension, preoperative renal artery involvement, CPB time extension and postoperative decreased platelet lymphocyte ratio were the independent risk factors of ARF after AAD surgery. The nomogram model could predict the risk of ARF with a sensitivity of 81.3% and a specificity of 78.6%. The calibration curve displayed good agreement of the predicted probability with the actual observed probability. AUC of the ROC curve was 0.839. External data validation was performed with a sensitivity of 79.2% and a specificity of 79.8%.
conclusionsHypertension, preoperative renal artery involvement, CPB time extension and postoperative decreased platelet lymphocyte ratio could predict the risk of ARF after AAD surgery.
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