ArticleJournal of cardiothoracic surgery2024
A novel nomogram model to predict in-hospital mortality in patients with acute type A aortic dissection after surgery.
Article in Journal of cardiothoracic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Bridging macro bibliometrics and micro molecular mechanisms: an integrated analysis of global aortic dissection research.Frontiers in cardiovascular medicine · 2026Article
- Integrated biomarker model based on cTnI, BNP, and D-dimer for early risk stratification in acute aortic dissection.Frontiers in cardiovascular medicine · 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
- Prognostic Value of Hemoglobin, Albumin, Lymphocyte, and Platelet Score in Predicting Mortality in Patients With Aortic Dissection: A Retrospective Single-Center Study Based on ROC Curve Analysis.Emergency medicine international · 2026Article
- An AI-driven machine learning approach identifies risk factors associated with 30-day mortality following total aortic arch replacement combined with stent elephant implantation.Annals of medicine · 2025Article
- Lower FT3 levels are associated with a poor prognosis in patients with acute type A aortic dissection: a retrospective study.European journal of medical research · 2025Article
- The impact of systemic inflammation index on prolonged mechanical ventilation after cardiac surgery: a retrospective study.Journal of cardiothoracic surgery · 2025Observational
- A Correlational Study on CALLY Index as a Potential Predictive Indicator for Postoperative in-Hospital Mortality in Acute Aortic Dissection Patients.Journal of inflammation research · 2025Article
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6 authors.
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Abstract
backgroundAcute type A aortic dissection is a dangerous disease that threatens public health. In recent years, with the progress of medical technology, the mortality rate of patients after surgery has been gradually reduced, leading that previous prediction models may not be suitable for nowadays. Therefore, the present study aims to find new independent risk factors for predicting in-hospital mortality and construct a nomogram prediction model.
methodsThe clinical data of 341 consecutive patients in our center from 2019 to 2023 were collected, and they were divided into two groups according to the death during hospitalization. The independent risk factors were analyzed by univariate and multivariate logistic regression, and the nomogram was constructed and verified based on these factors.
resultsage, preoperative lower limb ischemia, preoperative activated partial thromboplastin time (APTT), preoperative platelet count, Cardiopulmonary bypass (CPB) time and postoperative acute kidney injury (AKI) independently predicted in-hospital mortality of patients with acute type A aortic dissection after surgery. The area under the receiver operating characteristic curve (AUC) for the nomogram was 0.844. The calibration curve and decision curve analysis verified that the model had good quality.
conclusionThe new nomogram model has a good ability to predict the in-hospital mortality of patients with acute type A aortic dissection after surgery.
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