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Impact of trans-stent gradient on outcome after PCI: results from a HAWKEYE substudy
To test whether quantitative flow ratio (QFR)-based trans-stent gradient (TSG) is associated with adverse clinical events at follow-up. A post-hoc analysis of the multi-center HAWKEYE study was performed. Vessels post-PCI were divided into four groups (G) as follows: G1: QFR ≥ 0.90 TSG = 0 (n = 412,...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708807/ https://www.ncbi.nlm.nih.gov/pubmed/36445673 http://dx.doi.org/10.1007/s10554-022-02708-7 |
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author | Erriquez, Andrea Uretsky, Barry F. Brugaletta, Salvatore Spitaleri, Giosafat Cerrato, Enrico Quadri, Giorgio Manfrini, Marco Pompei, Graziella Scancarello, Davide Trichilo, Michele Marchini, Federico Caglioni, Serena Campana, Roberta Marrone, Andrea Penzo, Carlo Tumscitz, Carlo Tebaldi, Matteo Verardi, Filippo Maria Scala, Antonella Campo, Gianluca Biscaglia, Simone |
author_facet | Erriquez, Andrea Uretsky, Barry F. Brugaletta, Salvatore Spitaleri, Giosafat Cerrato, Enrico Quadri, Giorgio Manfrini, Marco Pompei, Graziella Scancarello, Davide Trichilo, Michele Marchini, Federico Caglioni, Serena Campana, Roberta Marrone, Andrea Penzo, Carlo Tumscitz, Carlo Tebaldi, Matteo Verardi, Filippo Maria Scala, Antonella Campo, Gianluca Biscaglia, Simone |
author_sort | Erriquez, Andrea |
collection | PubMed |
description | To test whether quantitative flow ratio (QFR)-based trans-stent gradient (TSG) is associated with adverse clinical events at follow-up. A post-hoc analysis of the multi-center HAWKEYE study was performed. Vessels post-PCI were divided into four groups (G) as follows: G1: QFR ≥ 0.90 TSG = 0 (n = 412, 54.8%); G2: QFR ≥ 0.90, TSG > 0 (n = 216, 28.7%); G3: QFR < 0.90, TSG = 0 (n = 37, 4.9%); G4: QFR < 0.90, TSG > 0 (n = 86, 11.4%). Cox proportional hazards regression model was used to analyze the effect of baseline and prognostic variables. The final reduced model was obtained by backward stepwise variable selection. Receiver operating characteristic (ROC) was plotted and area under the curve (AUC) was calculated and reported. Overall, 449 (59.8%) vessels had a TSG = 0 whereas (40.2%) had TSG > 0. Ten (2.2%) vessel-oriented composite endpoint (VOCE) occurred in vessels with TSG = 0, compared with 43 (14%) in vessels with TSG > 0 (p < 0.01). ROC analysis showed an AUC of 0.74 (95% CI: 0.67 to 0.80; p < 0.001). TSG > 0 was an independent predictor of the VOCE (HR 2.95 [95% CI 1.77–4.91]). The combination of higher TSG and lower final QFR (G4) showed the worst long-term outcome while low TSG and high QFR showed the best outcome (G1) while either high TSG or low QFR (G2, G3) showed intermediate and comparable outcomes. Higher trans-stent gradient was an independent predictor of adverse events and identified a subgroup of patients at higher risk for poor outcomes even when vessel QFR was optimal (> 0.90). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10554-022-02708-7. |
format | Online Article Text |
id | pubmed-9708807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-97088072022-12-01 Impact of trans-stent gradient on outcome after PCI: results from a HAWKEYE substudy Erriquez, Andrea Uretsky, Barry F. Brugaletta, Salvatore Spitaleri, Giosafat Cerrato, Enrico Quadri, Giorgio Manfrini, Marco Pompei, Graziella Scancarello, Davide Trichilo, Michele Marchini, Federico Caglioni, Serena Campana, Roberta Marrone, Andrea Penzo, Carlo Tumscitz, Carlo Tebaldi, Matteo Verardi, Filippo Maria Scala, Antonella Campo, Gianluca Biscaglia, Simone Int J Cardiovasc Imaging Original Paper To test whether quantitative flow ratio (QFR)-based trans-stent gradient (TSG) is associated with adverse clinical events at follow-up. A post-hoc analysis of the multi-center HAWKEYE study was performed. Vessels post-PCI were divided into four groups (G) as follows: G1: QFR ≥ 0.90 TSG = 0 (n = 412, 54.8%); G2: QFR ≥ 0.90, TSG > 0 (n = 216, 28.7%); G3: QFR < 0.90, TSG = 0 (n = 37, 4.9%); G4: QFR < 0.90, TSG > 0 (n = 86, 11.4%). Cox proportional hazards regression model was used to analyze the effect of baseline and prognostic variables. The final reduced model was obtained by backward stepwise variable selection. Receiver operating characteristic (ROC) was plotted and area under the curve (AUC) was calculated and reported. Overall, 449 (59.8%) vessels had a TSG = 0 whereas (40.2%) had TSG > 0. Ten (2.2%) vessel-oriented composite endpoint (VOCE) occurred in vessels with TSG = 0, compared with 43 (14%) in vessels with TSG > 0 (p < 0.01). ROC analysis showed an AUC of 0.74 (95% CI: 0.67 to 0.80; p < 0.001). TSG > 0 was an independent predictor of the VOCE (HR 2.95 [95% CI 1.77–4.91]). The combination of higher TSG and lower final QFR (G4) showed the worst long-term outcome while low TSG and high QFR showed the best outcome (G1) while either high TSG or low QFR (G2, G3) showed intermediate and comparable outcomes. Higher trans-stent gradient was an independent predictor of adverse events and identified a subgroup of patients at higher risk for poor outcomes even when vessel QFR was optimal (> 0.90). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10554-022-02708-7. Springer Netherlands 2022-08-22 2022 /pmc/articles/PMC9708807/ /pubmed/36445673 http://dx.doi.org/10.1007/s10554-022-02708-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Paper Erriquez, Andrea Uretsky, Barry F. Brugaletta, Salvatore Spitaleri, Giosafat Cerrato, Enrico Quadri, Giorgio Manfrini, Marco Pompei, Graziella Scancarello, Davide Trichilo, Michele Marchini, Federico Caglioni, Serena Campana, Roberta Marrone, Andrea Penzo, Carlo Tumscitz, Carlo Tebaldi, Matteo Verardi, Filippo Maria Scala, Antonella Campo, Gianluca Biscaglia, Simone Impact of trans-stent gradient on outcome after PCI: results from a HAWKEYE substudy |
title | Impact of trans-stent gradient on outcome after PCI: results from a HAWKEYE substudy |
title_full | Impact of trans-stent gradient on outcome after PCI: results from a HAWKEYE substudy |
title_fullStr | Impact of trans-stent gradient on outcome after PCI: results from a HAWKEYE substudy |
title_full_unstemmed | Impact of trans-stent gradient on outcome after PCI: results from a HAWKEYE substudy |
title_short | Impact of trans-stent gradient on outcome after PCI: results from a HAWKEYE substudy |
title_sort | impact of trans-stent gradient on outcome after pci: results from a hawkeye substudy |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708807/ https://www.ncbi.nlm.nih.gov/pubmed/36445673 http://dx.doi.org/10.1007/s10554-022-02708-7 |
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