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The impact of subclinical congestion on the outcome of patients undergoing transcatheter aortic valve implantation

BACKGROUND: We investigated the impact of an elevated plasma volume status (PVS) in patients undergoing TAVI on early clinical safety and mortality and assessed the prognostic utility of PVS for outcome prediction. MATERIALS AND METHODS: We retrospectively calculated the PVS in 652 patients undergoi...

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Autores principales: Adlbrecht, Christopher, Piringer, Felix, Resar, Jon, Watzal, Victoria, Andreas, Martin, Strouhal, Andreas, Hasan, Waseem, Geisler, Daniela, Weiss, Gabriel, Grabenwöger, Martin, Delle‐Karth, Georg, Mach, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7507141/
https://www.ncbi.nlm.nih.gov/pubmed/32323303
http://dx.doi.org/10.1111/eci.13251
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author Adlbrecht, Christopher
Piringer, Felix
Resar, Jon
Watzal, Victoria
Andreas, Martin
Strouhal, Andreas
Hasan, Waseem
Geisler, Daniela
Weiss, Gabriel
Grabenwöger, Martin
Delle‐Karth, Georg
Mach, Markus
author_facet Adlbrecht, Christopher
Piringer, Felix
Resar, Jon
Watzal, Victoria
Andreas, Martin
Strouhal, Andreas
Hasan, Waseem
Geisler, Daniela
Weiss, Gabriel
Grabenwöger, Martin
Delle‐Karth, Georg
Mach, Markus
author_sort Adlbrecht, Christopher
collection PubMed
description BACKGROUND: We investigated the impact of an elevated plasma volume status (PVS) in patients undergoing TAVI on early clinical safety and mortality and assessed the prognostic utility of PVS for outcome prediction. MATERIALS AND METHODS: We retrospectively calculated the PVS in 652 patients undergoing TAVI between 2009 and 2018 at two centres. They were then categorized into two groups depending on their preoperative PVS (PVS ≤−4; n = 257 vs PVS>−4; n = 379). Relative PVS was derived by subtracting calculated ideal (iPVS = c × weight) from actual plasma volume (aPVS = (1 − haematocrit) × (a + (b × weight in kg)). RESULTS: The need for renal replacement therapy (1 (0.4%) vs 17 (4.5%); P = .001), re‐operation for noncardiac reasons (9 (3.5%) vs 32 (8.4%); P = .003), re‐operation for bleeding (9 (3.5%) vs 27 (7.1%); P = .037) and major bleeding (14 (5.4%) vs 37 (9.8%); P = .033) were significantly higher in patients with a PVS>−4. The composite 30‐day early safety endpoint (234 (91.1%) vs 314 (82.8%); P = .002) confirms that an increased preoperative PVS is associated with a worse overall outcome after TAVI. CONCLUSIONS: An elevated PVS (>−4) as a marker for congestion is associated with significantly worse outcome after TAVI and therefore should be incorporated in preprocedural risk stratification.
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spelling pubmed-75071412020-09-28 The impact of subclinical congestion on the outcome of patients undergoing transcatheter aortic valve implantation Adlbrecht, Christopher Piringer, Felix Resar, Jon Watzal, Victoria Andreas, Martin Strouhal, Andreas Hasan, Waseem Geisler, Daniela Weiss, Gabriel Grabenwöger, Martin Delle‐Karth, Georg Mach, Markus Eur J Clin Invest Original Papers BACKGROUND: We investigated the impact of an elevated plasma volume status (PVS) in patients undergoing TAVI on early clinical safety and mortality and assessed the prognostic utility of PVS for outcome prediction. MATERIALS AND METHODS: We retrospectively calculated the PVS in 652 patients undergoing TAVI between 2009 and 2018 at two centres. They were then categorized into two groups depending on their preoperative PVS (PVS ≤−4; n = 257 vs PVS>−4; n = 379). Relative PVS was derived by subtracting calculated ideal (iPVS = c × weight) from actual plasma volume (aPVS = (1 − haematocrit) × (a + (b × weight in kg)). RESULTS: The need for renal replacement therapy (1 (0.4%) vs 17 (4.5%); P = .001), re‐operation for noncardiac reasons (9 (3.5%) vs 32 (8.4%); P = .003), re‐operation for bleeding (9 (3.5%) vs 27 (7.1%); P = .037) and major bleeding (14 (5.4%) vs 37 (9.8%); P = .033) were significantly higher in patients with a PVS>−4. The composite 30‐day early safety endpoint (234 (91.1%) vs 314 (82.8%); P = .002) confirms that an increased preoperative PVS is associated with a worse overall outcome after TAVI. CONCLUSIONS: An elevated PVS (>−4) as a marker for congestion is associated with significantly worse outcome after TAVI and therefore should be incorporated in preprocedural risk stratification. John Wiley and Sons Inc. 2020-05-15 2020-08 /pmc/articles/PMC7507141/ /pubmed/32323303 http://dx.doi.org/10.1111/eci.13251 Text en © 2020 The Authors. European Journal of Clinical Investigation published by John Wiley & Sons Ltd on behalf of Stichting European Society for Clinical Investigation Journal Foundation. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Papers
Adlbrecht, Christopher
Piringer, Felix
Resar, Jon
Watzal, Victoria
Andreas, Martin
Strouhal, Andreas
Hasan, Waseem
Geisler, Daniela
Weiss, Gabriel
Grabenwöger, Martin
Delle‐Karth, Georg
Mach, Markus
The impact of subclinical congestion on the outcome of patients undergoing transcatheter aortic valve implantation
title The impact of subclinical congestion on the outcome of patients undergoing transcatheter aortic valve implantation
title_full The impact of subclinical congestion on the outcome of patients undergoing transcatheter aortic valve implantation
title_fullStr The impact of subclinical congestion on the outcome of patients undergoing transcatheter aortic valve implantation
title_full_unstemmed The impact of subclinical congestion on the outcome of patients undergoing transcatheter aortic valve implantation
title_short The impact of subclinical congestion on the outcome of patients undergoing transcatheter aortic valve implantation
title_sort impact of subclinical congestion on the outcome of patients undergoing transcatheter aortic valve implantation
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7507141/
https://www.ncbi.nlm.nih.gov/pubmed/32323303
http://dx.doi.org/10.1111/eci.13251
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