Predicting lack of clinical improvement following varicose vein ablation using machine learning.

Objective: Varicose vein ablation is generally indicated in patients with active/healed venous ulcers. However, patient selection for intervention in individuals without venous ulcers is less clear. Tools that predict lack of clinical improvement (LCI) after vein ablation may help guide clinical decision-making but remain limited.

Emergency autologous vein graft reconstruction after vascular closure device usage and subsequent infection.

Different techniques and devices can achieve haemostasis after endovascular procedures to reduce time to haemostasis and facilitate percutaneous large-bore access. One such device is the Angio-Seal, which accomplishes haemostasis by compressing a collagen plug against the arteriotomy. Multiple complications related to Angio-Seal exist, most commonly acute artery occlusions and rarely infections and endarteritis.

Using Machine Learning to Predict Outcomes Following Transfemoral Carotid Artery Stenting.

Background: Transfemoral carotid artery stenting (TFCAS) carries important perioperative risks. Outcome prediction tools may help guide clinical decision-making but remain limited. We developed machine learning algorithms that predict 1-year stroke or death following TFCAS.

Predicting inferior vena cava filter complications using machine learning.

Objective: Inferior vena cava (IVC) filter placement is associated with important long-term complications. Predictive models for filter-related complications may help guide clinical decision-making but remain limited. We developed machine learning (ML) algorithms that predict 1-year IVC filter complications using preoperative data.

Management of renal artery aneurysms: A retrospective study.

Background: Although renal artery aneurysms (RAAs) are rare and often asymptomatic with slow growth, their natural progression and optimal management are not well understood. Treatment recommendations for RAAs do exist; however, they are supported by limited data.

Methods: A retrospective cohort study was conducted to explore the management of patients diagnosed with an RAA at our institution from January 1st, 2013, to December 31st, 2020.

Following the COMPASS: Antithrombotic Prescription Trends in Patients with Symptomatic Peripheral Arterial Disease following Revascularization.

Background: The Vascular Outcomes Study of aspirin (ASA) Along with Rivaroxaban in Endovascular or Surgical Limb Revascularization for peripheral artery disease (PAD) trial demonstrated the superiority of ASA and low-dose rivaroxaban (Cardiovascular Outcomes for People Using Anticoagulation Strategies (COMPASS) trial dosing) compared with ASA alone in reducing major adverse cardiovascular events and major adverse limb events. We studied the COMPASS discharge prescription patterns in patients with symptomatic PAD who have undergone revascularization in our institution, since the time of publication of the Vascular Outcomes Study of ASA Along with Rivaroxaban in Endovascular or Surgical Limb Revascularization for PAD trial.

Methods: All patients included in this study had documented lower-extremity atherosclerotic PAD and were eligible for COMPASS dosing.

Age is not a sole predictor of outcomes in octogenarians undergoing complex endovascular aortic repair.

Objective: To examine the perioperative, postoperative, and long-term outcomes of fenestrated/branched endovascular aneurysm repair (F/BEVAR) in octogenarians compared with nonoctogenarians.

Methods: A multicenter, retrospective cohort study was conducted using the Vascular Quality Improvement database, which prospectively captures information on patients who undergo vascular surgery across 1021 academic and community hospitals in North America. All patients who underwent F/BEVAR endovascular aortic repair from 2012 to 2022 were included.

Machine Learning to Predict Outcomes of Endovascular Intervention for Patients With PAD.

Importance: Endovascular intervention for peripheral artery disease (PAD) carries nonnegligible perioperative risks; however, outcome prediction tools are limited.

Objective: To develop machine learning (ML) algorithms that can predict outcomes following endovascular intervention for PAD.

Design, Setting, And Participants: This prognostic study included patients who underwent endovascular intervention for PAD between January 1, 2004, and July 5, 2023, with 1 year of follow-up.

Using Machine Learning (XGBoost) to Predict Outcomes After Infrainguinal Bypass for Peripheral Artery Disease.

Objective: To develop machine learning (ML) algorithms that predict outcomes after infrainguinal bypass.

Background: Infrainguinal bypass for peripheral artery disease carries significant surgical risks; however, outcome prediction tools remain limited.

Methods: The Vascular Quality Initiative database was used to identify patients who underwent infrainguinal bypass for peripheral artery disease between 2003 and 2023.

Using machine learning to predict outcomes following suprainguinal bypass.

Objective: Suprainguinal bypass for peripheral artery disease (PAD) carries important surgical risks; however, outcome prediction tools remain limited. We developed machine learning (ML) algorithms that predict outcomes following suprainguinal bypass.

Methods: The Vascular Quality Initiative database was used to identify patients who underwent suprainguinal bypass for PAD between 2003 and 2023.

Machine learning to predict outcomes following endovascular abdominal aortic aneurysm repair.

Background: Endovascular aneurysm repair (EVAR) for abdominal aortic aneurysm (AAA) carries important perioperative risks; however, there are no widely used outcome prediction tools. The aim of this study was to apply machine learning (ML) to develop automated algorithms that predict 1-year mortality following EVAR.

Methods: The Vascular Quality Initiative database was used to identify patients who underwent elective EVAR for infrarenal AAA between 2003 and 2023.

Using machine learning to predict outcomes following open abdominal aortic aneurysm repair.

Objective: Prediction of outcomes following open abdominal aortic aneurysm (AAA) repair remains challenging with a lack of widely used tools to guide perioperative management. We developed machine learning (ML) algorithms that predict outcomes following open AAA repair.

Methods: The Vascular Quality Initiative (VQI) database was used to identify patients who underwent elective open AAA repair between 2003 and 2023.

Using machine learning to predict outcomes following carotid endarterectomy.

Objective: Prediction of outcomes following carotid endarterectomy (CEA) remains challenging, with a lack of standardized tools to guide perioperative management. We used machine learning (ML) to develop automated algorithms that predict outcomes following CEA.

Methods: The Vascular Quality Initiative (VQI) database was used to identify patients who underwent CEA between 2003 and 2022.

The Impact of Heparin on Mortality Following Open Ruptured Abdominal Aortic Aneurysm Repair.

Background: Systemic administration of heparin is widely used in patients undergoing open elective abdominal aortic aneurysm (AAA) repair. However, no clear consensus exists in the use of intraoperative heparin during open ruptured AAA (rAAA) repair. In this study, we assessed the safety of intravenous heparin administration in patients undergoing open rAAA repair.

The impact of race on outcomes following ruptured abdominal aortic aneurysm repair.

Objectives: Racial differences in elective abdominal aortic aneurysm (AAA) repair outcomes have been previously reported; however, data on racial differences in ruptured AAA (rAAA) repair outcomes remain limited. This study assessed in-hospital and long-term mortality after rAAA repair in Black versus White patients.

Methods: The Vascular Quality Initiative database was queried to identify all Black and White patients who underwent open or endovascular rAAA repair between 2003 and 2019.

Vascular Complications With Intra-aortic Balloon Pump (IABP): Experience From a Large Canadian Metropolitan Centre.

Background: Intra-aortic balloon pump (IABP) insertion in critically ill patients has been associated with both vascular and nonvascular complications, which have restricted its use. The primary objective for this study was to determine the frequency and predictors of vascular complication in our centre.

Methods: We conducted a retrospective cohort study of consecutive patients treated with an IABP between January 2014 and June 2018.

Outcomes of hybrid procedures for peripheral arterial disease: 5-year single center experience.

Objective: The objective of the study was to present patients with peripheral vascular disease (PVD) who underwent hybrid procedures at our institution, the results of these interventions for a 5-year period and determine patency, mortality, failure, and amputation rates compared to the literature.

Material And Methods: Observational, single center, retrospective, and cross-sectional study which analyzed data gathered from the vascular quality initiative from patients who had hybrid revascularization procedures from January 2010 to December 2015.

Results: 87 patients were identified: 51 (58%) male, 36 (41%) female, 9 (10%) had critical limb ischemia (CLI), and 78 (90%) claudication.

The Impact of Sex on Outcomes following Carotid Endarterectomy.

Background: Previous studies have demonstrated significant sex differences in vascular surgery outcomes. We assessed stroke or death rates following carotid endarterectomy (CEA) in women versus men.

Methods: The Vascular Quality Initiative was used to identify all patients who underwent CEA between 2010 and 2019.

Sex Differences in Outcomes Following Ruptured Abdominal Aortic Aneurysm Repair.

Importance: Sex differences in aortic surgery outcomes are commonly reported. However, data on ruptured abdominal aortic aneurysm (rAAA) repair outcomes in women vs men are limited.

Objective: To assess differences in perioperative and long-term mortality following rAAA repair in women vs men.

Vascular surgical management of profunda femoris artery aneurysms: A single center experience.

Objective: Profunda femoris artery aneurysms (PFAAs), which comprise true profunda femoris artery aneurysms (TPFAAs) and profunda femoris artery pseudoaneuryms (PFA PSAs), are rare but clinically significant diseases of the peripheral arterial vasculature. Our aim is to describe our institution's 15-year experience with PFAAs (TPFAAs and PFA PSAs) to provide insight into patient characteristics, diagnostic imaging modalities, and surgical interventions that contribute to clinically important outcomes in patients with PFAAs.

Methods: We conducted a retrospective study at our institution using our radiology database.

Association Between Sarcopenia and Adverse Events Following Transcatheter Aortic Valve Implantation.

Background: Sarcopenia, the age-related loss of skeletal muscle mass/function, has been identified as a marker of frailty. We examined the association between sarcopenia and adverse events following transcatheter aortic valve implantation (TAVI).

Methods: A retrospective cohort study was conducted at Toronto General Hospital.

SUPERA Stenting in the Common Femoral Artery: Early Experience and Practical Considerations.

Purpose: Endovascular therapy in the management of de novo common femoral disease remains controversial. Considerable interest has been generated in recent years due to recent technological advancement in the design of vascular stents. In particular, SUPERA (Abbot Vascular Inc, Santa Clara USA) stents are designed to offer increased flexibility and less adverse interactions with the arterial wall, thus making it potentially better suited for common femoral lesions.