Aorta-Iliac Bypass in Thoracoabdominal Aortic Aneurysm Repair in Young Chinese Patients

Duan, Yuyin; Ge, Yipeng; Zheng, Jun; Pan, Xudong; Dong, Xian‐Zhe; Ma, Wei-Guo; Cheng, Lijian; Zhu, Jun; Liu, Yongmin; Sun, Li‐Zhong

doi:10.1016/j.hlc.2015.08.017

Cited by 3 publications

(2 citation statements)

References 26 publications

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“…Heparin was given at 3 mg/kg with an ACT greater than 480 s in the procedure with femoro-femoral bypass. In the case of aorto-iliac bypass or simple aortic clamping, Heparin was given at 1 mg/kg with an ACT greater than 200 s. The distal artery and visceral perfusion strategy included sequential aortic clamping combined with aorto-iliac bypass [ 12 ] or femoro-femoral bypass [ 11 ] (simple aortic clamping was only used in parts of less extensive TAAAR). In brief, femoro-femoral bypass was applied with cardiopulmonary bypass and cannulation in the femoral artery and vein.…”

Section: Methodsmentioning

confidence: 99%

Early and mid-term outcomes of open thoracoabdominal aortic aneurysm repair after thoracic endovascular aortic repair

Lin,

Liu,

Yang

et al. 2024

BMC Cardiovasc Disord

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Objective To evaluate the early and mid-term outcomes of open repair in patients with thoracoabdominal aortic aneurysm (TAAA) after thoracic endovascular aortic repair (TEVAR). Methods This was a retrospective single center study. Data were retrospectively collected and analyzed for consecutive patients undergoing open TAAA repair (TAAAR) after TEVAR from November 2016 to June 2021. Indications for TAAAR included aneurysm progression due to endoleak, persisted false lumen perfusion, proximal/distal disease progression, and aorta rupture. The risk factor of operative mortality was analyzed by multivariable logistic regression model and the survival was evaluated by Kaplan–Meier. Results Sixty-three patients who met the inclusion criteria for the study were identified. The mean age at TAAAR was 41 ± 12 years and 43 (68.3%) were male. Marfan syndrome (MFS) was presented in 39 patients (61.9%). 60 (95.2%) patients presented with post-dissection aneurysm and 3 (4.8%) patients with degenerative aneurysm. The extent of TAAA was Crawford I in 9 (14.3%), II in 22 (34.9%), III in 23 (36.5%), and IV in 9 (14.3%). Emergent TAAAR was done in 10 (15.9%) patients, and deep hypothermic circulatory arrest was used in 22 (34.6%). Endograft was explanted in 31 (49.2%). Operative mortality was 11 (17.5%). Stroke, paraplegia, and acute kidney failure occurred in 5 (7.9%), 7 (11.1%), and 6 (9.5%) patients, respectively. Pulmonary complications occurred in 19 (30.2%) patients. The estimated survival was 74.8 ± 4.9% at 5 years. Late reoperations were performed in 2 patients at 2.5 years and 1.3 years, respectively. Conclusions In this series of TAAA after TEVAR, TAAAR was related with a high risk of operative mortality and morbidity and the midterm outcomes represented a durable treatment and were respectable.

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Section: Methodsmentioning

confidence: 99%

Early and mid-term outcomes of open thoracoabdominal aortic aneurysm repair after thoracic endovascular aortic repair

Lin,

Liu,

Yang

et al. 2024

BMC Cardiovasc Disord

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“…Protamine was given after the final anastomosis was completed. 6 Before October 2014, we did not use cerebrospinal fluid drainage (CSFD) technology. Then, we regularly utilized CSFD for thoracoabdominal aorta aneurysm repair.…”

Section: Surgical Techniquementioning

confidence: 99%

Machine learning for the prediction of acute kidney injury and paraplegia after thoracoabdominal aortic aneurysm repair

et al. 2019

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Objective: Prediction of acute renal failure (ARF) and paraplegia after thoracoabdominal aortic aneurysm repair (TAAAR) is helpful for decision-making during the postoperative phase. To find a more efficient method for making a prediction, we performed tests on the efficacy of different machine learning predicting models.Methods: Perioperative TAAAR data were retrospectively collected from Beijing Anzhen Hospital and Shanghai DeltaHealth Hospital. Operations were conducted under normothermia using a four-branched graft. Four commonly used machine learning classification models (ie, logistic regression, linear and Gaussian kernel support vector machine, and random forest) were chosen to predict ARF and paraplegia separately. The efficacy of the models was validated by five-fold crossvalidation.Results: From 2009 to 2017, 212 TAAARs were performed. ARF was identified in 27 patients, and paraplegia was found in 18 patients. Five-fold cross-validation showed that among the four classification models, random forest was the most precise model for predicting ARF, with an average area under the curve (AUC) of 0.89 ± 0.08. Linear support vector machine was the most precise model for predicting paraplegia, with an average AUC of 0.89 ± 0.18. The prediction program has been uploaded to GitHub for open access. Conclusion:Machine learning models can precisely predict ARF and paraplegia during early stages after surgery. This program allows cardiac surgeons to address complications earlier and may help improve the clinical outcomes of TAAAR.

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Spinal Cord Protection of Aorto-Iliac Bypass in Open Repair of Extent II and III Thoracoabdominal Aortic Aneurysm

Dong

Wang

et al. 2022

Heart, Lung and Circulation

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Aorta-Iliac Bypass in Thoracoabdominal Aortic Aneurysm Repair in Young Chinese Patients

Cited by 3 publications

References 26 publications

Early and mid-term outcomes of open thoracoabdominal aortic aneurysm repair after thoracic endovascular aortic repair

Early and mid-term outcomes of open thoracoabdominal aortic aneurysm repair after thoracic endovascular aortic repair

Machine learning for the prediction of acute kidney injury and paraplegia after thoracoabdominal aortic aneurysm repair

Spinal Cord Protection of Aorto-Iliac Bypass in Open Repair of Extent II and III Thoracoabdominal Aortic Aneurysm

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