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Prediction Model for Freedom from TLR from a Multi-study Analysis of Long-Term Results with the Zilver PTX Drug-Eluting Peripheral Stent

PURPOSE: Develop a prediction model to determine the impact of patient and lesion factors on freedom from target lesion revascularization (ffTLR) for patients who are candidates for Zilver PTX drug-eluting stent (DES) treatment for femoropopliteal lesions. METHODS: Patient factors, lesion characteri...

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Autores principales: Dake, Michael D., Fanelli, Fabrizio, Lottes, Aaron E., O’Leary, Erin E., Reichert, Heidi, Jiang, Xiaohui, Fu, Weiguo, Iida, Osamu, Zen, Kan, Schermerhorn, Marc, Zeller, Thomas, Ansel, Gary M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806559/
https://www.ncbi.nlm.nih.gov/pubmed/33025243
http://dx.doi.org/10.1007/s00270-020-02648-6
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author Dake, Michael D.
Fanelli, Fabrizio
Lottes, Aaron E.
O’Leary, Erin E.
Reichert, Heidi
Jiang, Xiaohui
Fu, Weiguo
Iida, Osamu
Zen, Kan
Schermerhorn, Marc
Zeller, Thomas
Ansel, Gary M.
author_facet Dake, Michael D.
Fanelli, Fabrizio
Lottes, Aaron E.
O’Leary, Erin E.
Reichert, Heidi
Jiang, Xiaohui
Fu, Weiguo
Iida, Osamu
Zen, Kan
Schermerhorn, Marc
Zeller, Thomas
Ansel, Gary M.
author_sort Dake, Michael D.
collection PubMed
description PURPOSE: Develop a prediction model to determine the impact of patient and lesion factors on freedom from target lesion revascularization (ffTLR) for patients who are candidates for Zilver PTX drug-eluting stent (DES) treatment for femoropopliteal lesions. METHODS: Patient factors, lesion characteristics, and TLR results from five global studies were utilized for model development. Factors potentially associated with TLR (sex, age, diabetes, hypertension, hypercholesterolemia, renal disease, smoking status, Rutherford classification, lesion length, reference vessel diameter (RVD), popliteal involvement, total occlusion, calcification severity, prior interventions, and number of runoff vessels) were analyzed in a Cox proportional hazards model. Probability of ffTLR was generated for three example patient profiles via combinations of patient and lesion factors. TLR was defined as reintervention performed for ≥ 50% diameter stenosis after recurrent clinical symptoms. RESULTS: The model used records from 2227 patients. The median follow-up time was 23.9 months (range: 0.03–60.8). The Kaplan–Meier estimates for ffTLR were 90.5% through 1 year and 75.2% through 5 years. In a multivariate analysis, sex, age, Rutherford classification, lesion length, RVD, total occlusion, and prior interventions were significant factors. The example patient profiles have predicted 1-year ffTLRs of 97.4, 92.3, and 86.0% and 5-year predicted ffTLRs of 92.8, 79.5, and 64.8%. The prediction model is available as an interactive web-based tool (https://cooksfa.z13.web.core.windows.net). CONCLUSIONS: This is the first prediction model that uses an extensive dataset to determine the impact of patient and lesion factors on ffTLR through 5 years and provides an interactive web-based tool for expected patient outcomes with the Zilver PTX DES. CLINICAL TRIAL REGISTRATIONS: Zilver PTX RCT unique identifier: NCT00120406; Zilver PTX single-arm study unique identifier: NCT01094678; Zilver PTX China study unique identifier: NCT02171962; Zilver PTX US post-approval study unique identifier: NCT01901289; Zilver PTX Japan post-market surveillance study unique identifier: NCT02254837. LEVELS OF EVIDENCE: Zilver PTX RCT: Level 2, randomized controlled trial; Single-arm study: Level 4, large case series; China study: Level 4, case series; US post-approval study: Level 4, case series Japan PMS study: Level 4, large case series. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00270-020-02648-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-78065592021-01-21 Prediction Model for Freedom from TLR from a Multi-study Analysis of Long-Term Results with the Zilver PTX Drug-Eluting Peripheral Stent Dake, Michael D. Fanelli, Fabrizio Lottes, Aaron E. O’Leary, Erin E. Reichert, Heidi Jiang, Xiaohui Fu, Weiguo Iida, Osamu Zen, Kan Schermerhorn, Marc Zeller, Thomas Ansel, Gary M. Cardiovasc Intervent Radiol Clinical Investigation PURPOSE: Develop a prediction model to determine the impact of patient and lesion factors on freedom from target lesion revascularization (ffTLR) for patients who are candidates for Zilver PTX drug-eluting stent (DES) treatment for femoropopliteal lesions. METHODS: Patient factors, lesion characteristics, and TLR results from five global studies were utilized for model development. Factors potentially associated with TLR (sex, age, diabetes, hypertension, hypercholesterolemia, renal disease, smoking status, Rutherford classification, lesion length, reference vessel diameter (RVD), popliteal involvement, total occlusion, calcification severity, prior interventions, and number of runoff vessels) were analyzed in a Cox proportional hazards model. Probability of ffTLR was generated for three example patient profiles via combinations of patient and lesion factors. TLR was defined as reintervention performed for ≥ 50% diameter stenosis after recurrent clinical symptoms. RESULTS: The model used records from 2227 patients. The median follow-up time was 23.9 months (range: 0.03–60.8). The Kaplan–Meier estimates for ffTLR were 90.5% through 1 year and 75.2% through 5 years. In a multivariate analysis, sex, age, Rutherford classification, lesion length, RVD, total occlusion, and prior interventions were significant factors. The example patient profiles have predicted 1-year ffTLRs of 97.4, 92.3, and 86.0% and 5-year predicted ffTLRs of 92.8, 79.5, and 64.8%. The prediction model is available as an interactive web-based tool (https://cooksfa.z13.web.core.windows.net). CONCLUSIONS: This is the first prediction model that uses an extensive dataset to determine the impact of patient and lesion factors on ffTLR through 5 years and provides an interactive web-based tool for expected patient outcomes with the Zilver PTX DES. CLINICAL TRIAL REGISTRATIONS: Zilver PTX RCT unique identifier: NCT00120406; Zilver PTX single-arm study unique identifier: NCT01094678; Zilver PTX China study unique identifier: NCT02171962; Zilver PTX US post-approval study unique identifier: NCT01901289; Zilver PTX Japan post-market surveillance study unique identifier: NCT02254837. LEVELS OF EVIDENCE: Zilver PTX RCT: Level 2, randomized controlled trial; Single-arm study: Level 4, large case series; China study: Level 4, case series; US post-approval study: Level 4, case series Japan PMS study: Level 4, large case series. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00270-020-02648-6) contains supplementary material, which is available to authorized users. Springer US 2020-10-06 2021 /pmc/articles/PMC7806559/ /pubmed/33025243 http://dx.doi.org/10.1007/s00270-020-02648-6 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Clinical Investigation
Dake, Michael D.
Fanelli, Fabrizio
Lottes, Aaron E.
O’Leary, Erin E.
Reichert, Heidi
Jiang, Xiaohui
Fu, Weiguo
Iida, Osamu
Zen, Kan
Schermerhorn, Marc
Zeller, Thomas
Ansel, Gary M.
Prediction Model for Freedom from TLR from a Multi-study Analysis of Long-Term Results with the Zilver PTX Drug-Eluting Peripheral Stent
title Prediction Model for Freedom from TLR from a Multi-study Analysis of Long-Term Results with the Zilver PTX Drug-Eluting Peripheral Stent
title_full Prediction Model for Freedom from TLR from a Multi-study Analysis of Long-Term Results with the Zilver PTX Drug-Eluting Peripheral Stent
title_fullStr Prediction Model for Freedom from TLR from a Multi-study Analysis of Long-Term Results with the Zilver PTX Drug-Eluting Peripheral Stent
title_full_unstemmed Prediction Model for Freedom from TLR from a Multi-study Analysis of Long-Term Results with the Zilver PTX Drug-Eluting Peripheral Stent
title_short Prediction Model for Freedom from TLR from a Multi-study Analysis of Long-Term Results with the Zilver PTX Drug-Eluting Peripheral Stent
title_sort prediction model for freedom from tlr from a multi-study analysis of long-term results with the zilver ptx drug-eluting peripheral stent
topic Clinical Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806559/
https://www.ncbi.nlm.nih.gov/pubmed/33025243
http://dx.doi.org/10.1007/s00270-020-02648-6
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