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Vasculator: A Universal Platform For Endovascular Risk Stratification
Andrew Schindler
1, Duncan Salmon
1, Arnob Haque
1, Brandon Look Fong
1, Maham Rahimi, MD, PhD
2.
1Texas A&M School of Medicine, EnMed, Houston, TX, USA,
2Houston Methodist Hospital, Houston, TX, USA.
OBJECTIVES: Algorithmic guidelines for assessing surgical risks, such as those for aortic dissections and postoperative infections, have been established, but their complexity and lack of accessibility have hindered widespread clinical use. Consequently, these guidelines are not easily accessible or clinically applicable. To address this issue, we developed vasculink.net, a free online platform that offers vascular surgeons a repository of algorithms to support informed clinical decisions, which has now expanded to include several risk stratification tools.
METHODS: A website was developed using the Flutter Software Development Kit to host three key vascular guideline algorithms. Each algorithm was transformed into an interactive form, enabling physicians to input patient data and instantly calculate risk scores. The “Management of Aortic Graft Infection Collaboration” (MAGIC) algorithm classifies aortic graft infections by dividing criteria into “major” and “minor” categories. The Surgical Site Infection (SSI) model evaluates patients' risk of postoperative infections, while the type B aortic dissection algorithm assesses dissection severity based on factors such as chronicity, aortic arch anatomy, and additional complications. Additionally, we have introduced new algorithms, including those for PAU, Aberrant subclavian artery, and Harborview ruptured aortic aneurysm (rAAA).
RESULTS: Vasculink.net now hosts three risk prediction models. The first tool, Vasculink, was initially developed as an iOS app, allowing users to download a mobile version. Since launching the website, vascular surgeons have found these tools easy to use, with the web-based format facilitating mobile access to the algorithms. This platform provides a comprehensive hub where surgeons can access and stay updated on various vascular surgery risk stratification algorithms, thereby enhancing clinical decision-making and patient outcomes.
CONCLUSIONS: Vasculator’s suite of algorithm-driven applications, rooted in current guidelines, offers valuable support to vascular surgeons by providing clinically relevant translations. By inputting key diagnostic criteria, the vasculator apps generate predicted risk scores for conditions such as aortic graft complications, postoperative infections, aortic dissections, PAU, Aberrant subclavian artery issues, and mortality in ruptured aortic aneurysms. While Vasculator has already demonstrated its utility, further validation of algorithm accuracy is necessary. Future plans include expanding the algorithm repository and enhancing the platform’s clinical decision-making capabilities.
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