Cargando…

Development of a Prediction Model for the Occurrence of Stenosis or Occlusion after Percutaneous Deep Venous Arterialization

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Huizing, Eline, Schreve, Michiel A., Kum, Steven, Papageorgiou, Grigorios, de Vries, Jean-Paul P. M., de Borst, Gert J., Ünlü, Çağdaş
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8226684/
https://www.ncbi.nlm.nih.gov/pubmed/34073045
http://dx.doi.org/10.3390/diagnostics11061008
_version_ 1783712345487310848
author Huizing, Eline
Schreve, Michiel A.
Kum, Steven
Papageorgiou, Grigorios
de Vries, Jean-Paul P. M.
de Borst, Gert J.
Ünlü, Çağdaş
author_facet Huizing, Eline
Schreve, Michiel A.
Kum, Steven
Papageorgiou, Grigorios
de Vries, Jean-Paul P. M.
de Borst, Gert J.
Ünlü, Çağdaş
author_sort Huizing, Eline
collection PubMed
description 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.
format Online
Article
Text
id pubmed-8226684
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-82266842021-06-26 Development of a Prediction Model for the Occurrence of Stenosis or Occlusion after Percutaneous Deep Venous Arterialization Huizing, Eline Schreve, Michiel A. Kum, Steven Papageorgiou, Grigorios de Vries, Jean-Paul P. M. de Borst, Gert J. Ünlü, Çağdaş Diagnostics (Basel) Article 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. MDPI 2021-05-31 /pmc/articles/PMC8226684/ /pubmed/34073045 http://dx.doi.org/10.3390/diagnostics11061008 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Huizing, Eline
Schreve, Michiel A.
Kum, Steven
Papageorgiou, Grigorios
de Vries, Jean-Paul P. M.
de Borst, Gert J.
Ünlü, Çağdaş
Development of a Prediction Model for the Occurrence of Stenosis or Occlusion after Percutaneous Deep Venous Arterialization
title Development of a Prediction Model for the Occurrence of Stenosis or Occlusion after Percutaneous Deep Venous Arterialization
title_full Development of a Prediction Model for the Occurrence of Stenosis or Occlusion after Percutaneous Deep Venous Arterialization
title_fullStr Development of a Prediction Model for the Occurrence of Stenosis or Occlusion after Percutaneous Deep Venous Arterialization
title_full_unstemmed Development of a Prediction Model for the Occurrence of Stenosis or Occlusion after Percutaneous Deep Venous Arterialization
title_short Development of a Prediction Model for the Occurrence of Stenosis or Occlusion after Percutaneous Deep Venous Arterialization
title_sort development of a prediction model for the occurrence of stenosis or occlusion after percutaneous deep venous arterialization
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8226684/
https://www.ncbi.nlm.nih.gov/pubmed/34073045
http://dx.doi.org/10.3390/diagnostics11061008
work_keys_str_mv AT huizingeline developmentofapredictionmodelfortheoccurrenceofstenosisorocclusionafterpercutaneousdeepvenousarterialization
AT schrevemichiela developmentofapredictionmodelfortheoccurrenceofstenosisorocclusionafterpercutaneousdeepvenousarterialization
AT kumsteven developmentofapredictionmodelfortheoccurrenceofstenosisorocclusionafterpercutaneousdeepvenousarterialization
AT papageorgiougrigorios developmentofapredictionmodelfortheoccurrenceofstenosisorocclusionafterpercutaneousdeepvenousarterialization
AT devriesjeanpaulpm developmentofapredictionmodelfortheoccurrenceofstenosisorocclusionafterpercutaneousdeepvenousarterialization
AT deborstgertj developmentofapredictionmodelfortheoccurrenceofstenosisorocclusionafterpercutaneousdeepvenousarterialization
AT unlucagdas developmentofapredictionmodelfortheoccurrenceofstenosisorocclusionafterpercutaneousdeepvenousarterialization