Background: We retrospectively analyzed the hospital mortality and neurologic outcome after surgery on the thoracic aorta with the aid of antegrade selective cerebral perfusion to determine a predictive risk model.
Methods: Between October 1995 and May 2002, 462 patients (mean age 62.7 +/- 11.7 years) underwent surgery on the thoracic aorta using antegrade selective cerebral perfusion. The indication for surgery was acute type A dissection in 132 patients (28.6%), degenerative aneurysm in 258 (55.8%), and post-dissection aneurysm in 72 (15.6%). One hundred and forty-one patients (30.5%) were operated on urgently; concomitant procedures were performed in 190 patients (41.1%). The mean cerebral perfusion time was 63 +/- 39 min. Predictors of hospital mortality and neurologic outcome were identified by univariate and multivariate analysis of the preoperative and intraoperative variables.
Results: The hospital mortality rate was 10.2%. Stepwise logistic regression identified an urgency status (odds ratio--OR 5.2, p = 0.001), a history of a central neurologic event (OR 4.1, p = 0.007) and coronary artery bypass graft (OR 3.2, p = 0.039) as being independent determinants for hospital mortality. The transient neurologic dysfunction rate was 6.2%. An urgency status (OR 3.4, p = 0.003) and a history of a central neurologic event (OR 5.1, p = 0.002) were independent determinants of transient neurologic dysfunction. An urgency status (OR 6.0, p = 0.011) was the only independent determinant for permanent neurologic dysfunction (3.8%). A cerebral perfusion time > 90 min was not associated with an increased risk of hospital mortality and permanent or transient neurologic dysfunction.
Conclusions: Antegrade selective cerebral perfusion proved to be a safe method of brain protection allowing complex aortic repair to be performed with encouraging results in terms of hospital mortality and neurologic outcome.
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J Cereb Blood Flow Metab
January 2025
Neuronal Mass Dynamics Lab, Department of Biomedical Engineering, Florida International, University, Miami, FL, USA.
Vasoactive signaling from astrocytes is an important contributor to the neurovascular coupling (NVC), which aims at providing energy to neurons during brain activation by increasing blood perfusion in the surrounding vasculature. Pharmacological manipulations have been previously combined with experimental techniques (e.g.
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Department of Vascular Surgery, Sir Charles Gairdner Hospital, Perth, Australia.
A 2-day-old neonate was referred to the vascular surgery service owing to concerns of limb perfusion after entrapment of a microcatheter in the middle cerebral artery. The catheter was inserted via the umbilical artery to treat a vein of Galen arteriovenous malformation. This catheter inadvertently became entrapped owing to device failure, was cut at the insertion site, and left in situ for 3 months.
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Division of Cardiothoracic Surgery, Department of Surgery, University of Nebraska Medical Center, Omaha, Nebraska.
Background: Mobile ex vivo lung perfusion (mEVLP) allows transportation of lung allografts while maintaining ventilation and perfusion and has demonstrated safety and efficacy with the potential to expand organ utilization. A nationwide organ recovery service has been implemented to provide surgical expertise for recovery alongside mEVLP transportation services.
Methods: We reviewed patients at our institution who underwent lung transplantation with donor lungs procured with this program.
Ann Thorac Surg Short Rep
March 2024
Division of Vascular Surgery, Department of Surgery, University of Calgary, Calgary, Alberta, Canada.
This case highlights the challenges of treating an aortobronchial fistula. Emergent total aortic arch stent grafting is limited by inability to maintain cerebral perfusion during in situ fenestration. We describe the application of a new technique to maintain cerebral perfusion using a gutter balloon adjacent to the aortic endograft while great vessel fenestrations are being performed in an urgent setting.
View Article and Find Full Text PDFNeuroradiol J
January 2025
Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY, USA.
This study evaluates the efficacy of deep learning models in identifying infarct tissue on computed tomography perfusion (CTP) scans from patients with acute ischemic stroke due to large vessel occlusion, specifically addressing the potential influence of varying noise reduction techniques implemented by different vendors. We analyzed CTP scans from 60 patients who underwent mechanical thrombectomy achieving a modified thrombolysis in cerebral infarction (mTICI) score of 2c or 3, ensuring minimal changes in the infarct core between the initial CTP and follow-up MR imaging. Noise reduction techniques, including principal component analysis (PCA), wavelet, non-local means (NLM), and a no denoising approach, were employed to create hemodynamic parameter maps.
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