Short- and Long-term survival prediction in patients with acute type A aortic dissection undergoing open surgery
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 ad...
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| Format: | Article |
| Language: | English |
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BMC
2024-04-01
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| Series: | Journal of Cardiothoracic Surgery |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13019-024-02687-x |
| _version_ | 1827291318206857216 |
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| author | Yusanjan Matniyaz Yuan-Xi Luo Yi Jiang Ke-Yin Zhang Wen-Zhe Wang Tuo Pan Dong-Jin Wang Yun-Xing Xue |
| author_facet | Yusanjan Matniyaz Yuan-Xi Luo Yi Jiang Ke-Yin Zhang Wen-Zhe Wang Tuo Pan Dong-Jin Wang Yun-Xing Xue |
| author_sort | Yusanjan Matniyaz |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-24T12:35:57Z |
| format | Article |
| id | doaj.art-35093e745c7147f7905c2e073ce3befc |
| institution | Directory Open Access Journal |
| issn | 1749-8090 |
| language | English |
| last_indexed | 2024-04-24T12:35:57Z |
| publishDate | 2024-04-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Cardiothoracic Surgery |
| spelling | doaj.art-35093e745c7147f7905c2e073ce3befc2024-04-07T11:30:14ZengBMCJournal of Cardiothoracic Surgery1749-80902024-04-0119111310.1186/s13019-024-02687-xShort- and Long-term survival prediction in patients with acute type A aortic dissection undergoing open surgeryYusanjan Matniyaz0Yuan-Xi Luo1Yi Jiang2Ke-Yin Zhang3Wen-Zhe Wang4Tuo Pan5Dong-Jin Wang6Yun-Xing Xue7Department of Cardiac Surgery, Affiliated Drum Tower Hospital, Medical School of Nanjing UniversityDepartment of Cardiac Surgery, Affiliated Drum Tower Hospital, Chinese Academy of Medical Sciences & Peking Union Medical CollegeDepartment of Cardiac Surgery, Affiliated Drum Tower Hospital, Chinese Academy of Medical Sciences & Peking Union Medical CollegeDepartment of Cardiac Surgery, Affiliated Drum Tower Hospital, Medical School of Nanjing UniversityDepartment of Cardiac Surgery, Affiliated Drum Tower Hospital, Medical School of Nanjing UniversityDepartment of Cardiac Surgery, Affiliated Drum Tower Hospital, Chinese Academy of Medical Sciences & Peking Union Medical CollegeDepartment of Cardiac Surgery, Affiliated Drum Tower Hospital, Medical School of Nanjing UniversityDepartment of Cardiac Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing UniversityAbstract 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.https://doi.org/10.1186/s13019-024-02687-xAcute type A aortic dissectionSurvival predictionRisk factorsNomogram |
| spellingShingle | Yusanjan Matniyaz Yuan-Xi Luo Yi Jiang Ke-Yin Zhang Wen-Zhe Wang Tuo Pan Dong-Jin Wang Yun-Xing Xue Short- and Long-term survival prediction in patients with acute type A aortic dissection undergoing open surgery Journal of Cardiothoracic Surgery Acute type A aortic dissection Survival prediction Risk factors Nomogram |
| title | Short- and Long-term survival prediction in patients with acute type A aortic dissection undergoing open surgery |
| title_full | Short- and Long-term survival prediction in patients with acute type A aortic dissection undergoing open surgery |
| title_fullStr | Short- and Long-term survival prediction in patients with acute type A aortic dissection undergoing open surgery |
| title_full_unstemmed | Short- and Long-term survival prediction in patients with acute type A aortic dissection undergoing open surgery |
| title_short | Short- and Long-term survival prediction in patients with acute type A aortic dissection undergoing open surgery |
| title_sort | short and long term survival prediction in patients with acute type a aortic dissection undergoing open surgery |
| topic | Acute type A aortic dissection Survival prediction Risk factors Nomogram |
| url | https://doi.org/10.1186/s13019-024-02687-x |
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