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Journal of Cardiothoracic Surgery
Published in: Journal of Cardiothoracic Surgery 1/2024

Open Access 01-12-2024 | Aortic Dissection | Research

Short- and Long-term survival prediction in patients with acute type A aortic dissection undergoing open surgery

Authors: Yusanjan Matniyaz, Yuan-Xi Luo, Yi Jiang, Ke-Yin Zhang, Wen-Zhe Wang, Tuo Pan, Dong-Jin Wang, Yun-Xing Xue

Published in: Journal of Cardiothoracic Surgery | Issue 1/2024

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Abstract

Background

Acute Type A aortic dissection (ATAAD) is a life-threatening cardiovascular disease associated with high mortality rates, where surgical intervention remains the primary life-saving treatment. However, the mortality rate for ATAAD operations continues to be alarmingly high. To address this critical issue, our study aimed to assess the correlation between preoperative laboratory examination, clinical imaging data, and postoperative mortality in ATAAD patients. Additionally, we sought to establish a reliable prediction model for evaluating the risk of postoperative death.

Methods

In this study, a total of 384 patients with acute type A aortic dissection (ATAAD) who were admitted to the emergency department for surgical treatment were included. Based on preoperative laboratory examination and clinical imaging data of ATAAD patients, logistic analysis was used to obtain independent risk factors for postoperative in-hospital death. The survival prediction model was based on cox regression analysis and displayed as a nomogram.

Results

Logistic analysis identified several independent risk factors for postoperative in-hospital death, including Marfan syndrome, previous cardiac surgery history, previous renal dialysis history, direct bilirubin, serum phosphorus, D-dimer, white blood cell, multiple aortic ruptures and age. A survival prediction model based on cox regression analysis was established and presented as a nomogram. The model exhibited good discrimination and significantly improved the prediction of death risk in ATAAD patients.

Conclusions

In this study, we developed a novel survival prediction model for acute type A aortic dissection based on preoperative clinical features. The model demonstrated good discriminatory power and improved accuracy in predicting the risk of death in ATAAD patients undergoing open surgery.
Appendix
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Metadata
Title
Short- and Long-term survival prediction in patients with acute type A aortic dissection undergoing open surgery
Authors
Yusanjan Matniyaz
Yuan-Xi Luo
Yi Jiang
Ke-Yin Zhang
Wen-Zhe Wang
Tuo Pan
Dong-Jin Wang
Yun-Xing Xue
Publication date
01-12-2024
Publisher
BioMed Central
Published in
Journal of Cardiothoracic Surgery / Issue 1/2024
Electronic ISSN: 1749-8090
DOI
https://doi.org/10.1186/s13019-024-02687-x

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