ArticleJournal of thoracic disease2020
A nomogram for predicting in-hospital mortality in acute type A aortic dissection patients.
Article in Journal of thoracic disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 17 citations in OpenAlex.
- Laboratory signatures differentiate the tolerance to hypothermic circulatory arrest in acute type A aortic dissection surgery.Interactive cardiovascular and thoracic surgery · 2022Trial
- Predictive role of prognostic nutritional index and geriatric nutritional risk index for postoperative mortality risk in patients with aortic dissection: a systematic review and meta-analysis.Journal of thoracic disease · 2026Article
- Retrospective cohort development and internal validation of a prediction model for 30-day mortality after TEVAR in type B aortic dissection.International journal of surgery (London, England) · 2026Article
- Integrated biomarker model based on cTnI, BNP, and D-dimer for early risk stratification in acute aortic dissection.Frontiers in cardiovascular medicine · 2026Article
- Systematic Review and Meta-analysis of Admission Inflammatory Biomarkers for Evaluating Prognosis in Acute Type A Aortic Dissection.Aorta (Stamford, Conn.) · 2025Article
- Impact of D-dimer on in-hospital mortality following aortic dissection: A systematic review and meta-analysis.World journal of cardiology · 2024Article
- A novel nomogram model to predict in-hospital mortality in patients with acute type A aortic dissection after surgery.Journal of cardiothoracic surgery · 2024Article
- A predictive model for postoperative adverse outcomes following surgical treatment of acute type A aortic dissection based on machine learning.Journal of clinical hypertension (Greenwich, Conn.) · 2024Article
- Prediction of in-hospital death following acute type A aortic dissection.Frontiers in public health · 2023Article
- Preoperative Predictors of Adverse Clinical Outcome in Emergent Repair of Acute Type A Aortic Dissection in 15 Year Follow Up.Journal of clinical medicine · 2021Article
- Risk factors for 30-day mortality in patients who received DeBakey type I aortic dissection repair surgery.Journal of cardiothoracic surgery · 2021Article
- Machine Learning Models for Predicting In-Hospital Mortality in Acute Aortic Dissection Patients.Frontiers in cardiovascular medicine · 2021Article
- Development and Validation of Nomogram to Predict Long-Term Prognosis of Critically Ill Patients with Acute Myocardial Infarction.International journal of general medicine · 2021Article
- Association Between the Admission Serum Bicarbonate and Short-Term and Long-Term Mortality in Acute Aortic Dissection Patients Admitted to the Intensive Care Unit.International journal of general medicine · 2021Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlthough there are several biomarkers for identifying in-hospital mortality in acute type A aortic dissection (AAD), timely as well as perfect prediction in-hospital mortality is still not attained. Herein, we intend to develop as well to validate an in-hospital mortality risk independent predictive nomogram for AAD patients.
methodsFrom January 2014 to December 2018, 703 individuals with AAD were involved in this study. They were indiscriminately categorized into training (n=520) and validation (n=183) sets. The univariate and multivariate analyses were used to screen in-hospital mortality predictors from the entire training set data. The predictors were used to establish a nomogram which was confirmed via internal as well as external authentication. This validation included discriminative capacity defined by the receiver operating characteristic (ROC) curve area under the curve (AUC) and the predictive precision via calibration curves.
resultsThere was 33.43% in-hospital mortality overall incidence. The uric acid, D-dimer, C-reactive protein and management were individually related to in-hospital mortality as per multivariate logistic regression. On the basis of four variables with internal of AUC 0.901 and external validation of AUC 0.903, a nomogram was established. Calibration plots showed that the predicted and actual in-hospital mortality probabilities were fitted well on both internal and external validation.
conclusionsThis recommended nomogram can calculate the specific possibility of in-hospital mortality with good precision, high discrimination, and probable clinical application in AAD patients.
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