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Published on: May 24, 2024
Development of a Prediction Model for the Occurrence of Stenosis or Occlusion after Percutaneous Deep Venous
Eline Huizing1, Michiel A Schreve1, Steven Kum2
1Department of Surgery, Northwest Clinics, 1815 JD Alkmaar, The Netherlands.
Insights
A new model predicts future blockages after percutaneous deep venous arterialization (pDVA). This could personalize patient monitoring, reducing hospital visits for low-risk individuals and increasing them for high-risk cases.
Area of Science:
- Vascular Surgery
- Medical Imaging
- Predictive Analytics
Background:
- Chronic limb-threatening ischemia (CLTI) requires effective revascularization.
- Percutaneous deep venous arterialization (pDVA) is a viable treatment for CLTI.
- Early detection of stenosis or occlusion post-pDVA is crucial but requires frequent, burdensome monitoring.
Purpose of the Study:
- To develop a predictive model for stenosis or occlusion after pDVA.
- To enable personalized follow-up protocols for pDVA patients.
- To reduce patient burden associated with frequent hospital visits.
Main Methods:
- Utilized peak systolic velocity and volume flow measurements from duplex ultrasound.
- Analyzed data from 23 patients undergoing pDVA.
- Developed a statistical model to identify risk factors for stenosis/occlusion.
Main Results:
- A 20% decrease in duplex ultrasound values within 1 month significantly increased stenosis/occlusion risk.
- The prediction model accurately estimated patient-specific risk.
- 17 out of 23 patients developed stenosis or occlusion.
Conclusions:
- A predictive model for post-pDVA stenosis/occlusion is feasible.
- Personalized surveillance programs can optimize follow-up frequency.
- Further validation in larger cohorts is needed.
Abstract:
Percutaneous deep venous arterialization (pDVA) is a promising treatment option in patients with chronic limb-threatening ischemia. Stenosis and occlusions, which are the Achilles' heel of every revascularization procedure, can be treated when detected early. However, frequent monitoring after pDVA is required because when stenosis or occlusions develop is unknown. Therefore, patients currently need to visit the hospital every 2 weeks for surveillance, which can be burdensome. Accordingly, we aimed to develop a model that can predict future stenosis or occlusions in patients after pDVA to be able to create tailor-made follow-up protocols. The data set included 343 peak systolic velocity and 335 volume flow measurements of 23 patients. A stenosis or occlusion developed in 17 patients, and 6 patients remained lesion-free. A statistically significant increase in the risk of stenosis or occlusion was found when duplex ultrasound values decreased 20% within 1 month. The prediction model was also able to estimate a patient-specific risk of future stenosis or occlusions. This is promising for the possibility of reducing the frequency of follow-up visits for low-risk patients and increasing the frequency for high-risk patients. These observations are the starting point for individual surveillance programs in post-pDVA patients. Future studies with a larger cohort are necessary for validation of this model.
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