Publications by authors named "Zachary R Zottola"

Article Synopsis
  • This study explores how the degree of graft oversizing in endovascular aneurysm repair (EVAR) affects the strain in the seal zone of abdominal aortic aneurysms, suggesting that excessive strain reduction may negatively impact the aneurysm neck.
  • The researchers conducted experiments using different types of endografts and assessed strain changes with ultrasound elastography, comparing three oversizing levels: 20%, 30%, and 50%.
  • Results indicated significant differences in strain reduction when comparing normal (empty) phantoms to those with oversizing, highlighting the potential risks associated with high graft oversizing.
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Article Synopsis
  • The study investigates the effectiveness of endovenous thermal ablation (EVTA) in obese patients with mild to moderate venous disease (CEAP C2 and C3).
  • The analysis used data from over 8,000 limbs and compared outcomes between obese and nonobese patients, focusing on improvements in symptoms and complications.
  • Results indicated that obesity did not significantly affect the improvement in symptoms as measured by the venous clinical severity score (VCSS), suggesting that EVTA may be equally effective for both obese and nonobese patients.
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Background: Elective endovascular aneurysm repair (EVAR) can be performed via local anesthetics and/or regional (epidural or spinal) anesthesia (locoregional [LR]), versus general anesthesia (GA), conferring reduced intensive care unit (ICU) and hospital stays. Current analyses fail to account for temporal changes in vascular practice. Therefore, this study aimed to confirm reductions in ICU and hospital stays among LR patients while accounting for changes in practice patterns.

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Introduction: Current abdominal aortic aneurysm (AAA) assessment relies on analysis of AAA diameter and growth rate. However, evidence demonstrates that AAA pathology varies among patients and morphometric analysis alone is insufficient to precisely predict individual rupture risk. Biomechanical parameters, such as pressure-normalized AAA principal wall strain (/PP, %/mmHg), can provide useful information for AAA assessment.

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Background: There are limited analyses of survival and postoperative outcomes in chronic mesenteric ischemia (CMI) using data from large cohorts. Current guidelines recommend open repair (OR) for younger, healthier patients when long-term benefits outweigh increased perioperative risks or for poor endovascular repair (ER) candidates. This study investigates whether long-term survival, reintervention, and value differ between these treatment modalities.

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Objective: We sought to quantify the percent calcification within carotid artery plaques and assess its impact on percent residual stenosis and rate of restenosis in patients undergoing transcarotid artery revascularization for symptomatic and asymptomatic carotid artery stenosis.

Methods: A retrospective review of prospectively collected institutional Vascular Quality Initiative data was performed to identify all patients undergoing transcarotid artery revascularization from December 2015 to June 2021 (n = 210). Patient and lesion characteristics were extracted.

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Objective: Predicting success after endovascular aneurysm repair (EVAR) of abdominal aortic aneurysms (AAAs) relies on measurements of aneurysm sac regression. However, in the absence of regression, morphometric analysis alone is insufficient to reliably predict the successful remodeling of AAAs after EVAR. Biomechanical parameters, such as pressure-normalized principal strain, might provide useful information in the post-EVAR AAA assessment.

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Objective: It has been shown local or regional anesthetic techniques are a feasible alternative to general anesthesia for endovascular aortic aneurysm repair (EVAR). However, studies to date have shown controversial findings with respect to the benefit of locoregional anesthesia (LR) in the elective setting. The objective of this study is to compare postoperative outcomes between LR and general anesthesia (GA) in the setting of elective EVAR, using a large, multicenter database.

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