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Predicting hospitalisation duration after transcatheter aortic valve implantation
OBJECTIVE: Transcatheter aortic valve implantation (TAVI) is widely used as an alternative to conventional surgical aortic valve replacement. The aim of this study was to identify preprocedural predictors of duration of length of stay (LoS) after transfemoral TAVI (TF-TAVI). METHODS: We included all...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Open Heart
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5471859/ https://www.ncbi.nlm.nih.gov/pubmed/28674621 http://dx.doi.org/10.1136/openhrt-2016-000549 |
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author | van Mourik, Martijn S Geenen, Leonie M E Delewi, Ronak Wiegerinck, Esther M A Koch, Karel T Bouma, Berto J Henriques, Jose P de Winter, Robbert J Baan, Jan Vis, M. Marije |
author_facet | van Mourik, Martijn S Geenen, Leonie M E Delewi, Ronak Wiegerinck, Esther M A Koch, Karel T Bouma, Berto J Henriques, Jose P de Winter, Robbert J Baan, Jan Vis, M. Marije |
author_sort | van Mourik, Martijn S |
collection | PubMed |
description | OBJECTIVE: Transcatheter aortic valve implantation (TAVI) is widely used as an alternative to conventional surgical aortic valve replacement. The aim of this study was to identify preprocedural predictors of duration of length of stay (LoS) after transfemoral TAVI (TF-TAVI). METHODS: We included all consecutive patients who underwent TF-TAVI at our centre between November 2010 and June 2013. Preprocedural, periprocedural and postprocedural variables were collected and evaluated to LoS. Linear regression was performed to find preprocedural predictors for total LoS. RESULTS: The population consisted of 114 patients (mean age: 79.6±8.7, 32.5% male). The median total LoS was 6.5 days (5–9 days). Multivariate analysis showed that the Metabolic Equivalent score (METs) (β=−0.084, p=0.011) and diastolic blood pressure (β=−0.011, p=0.016) independently contributed to the log-transformed LoS. CONCLUSION: Multivariate linear regression showed that lower METs and lower diastolic blood pressure were associated with prolonged LoS. Understanding patients’ physical functionality can improve logistical planning of hospital stay and selecting patients eligible for early discharge. |
format | Online Article Text |
id | pubmed-5471859 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Open Heart |
record_format | MEDLINE/PubMed |
spelling | pubmed-54718592017-07-03 Predicting hospitalisation duration after transcatheter aortic valve implantation van Mourik, Martijn S Geenen, Leonie M E Delewi, Ronak Wiegerinck, Esther M A Koch, Karel T Bouma, Berto J Henriques, Jose P de Winter, Robbert J Baan, Jan Vis, M. Marije Open Heart Interventional Cardiology OBJECTIVE: Transcatheter aortic valve implantation (TAVI) is widely used as an alternative to conventional surgical aortic valve replacement. The aim of this study was to identify preprocedural predictors of duration of length of stay (LoS) after transfemoral TAVI (TF-TAVI). METHODS: We included all consecutive patients who underwent TF-TAVI at our centre between November 2010 and June 2013. Preprocedural, periprocedural and postprocedural variables were collected and evaluated to LoS. Linear regression was performed to find preprocedural predictors for total LoS. RESULTS: The population consisted of 114 patients (mean age: 79.6±8.7, 32.5% male). The median total LoS was 6.5 days (5–9 days). Multivariate analysis showed that the Metabolic Equivalent score (METs) (β=−0.084, p=0.011) and diastolic blood pressure (β=−0.011, p=0.016) independently contributed to the log-transformed LoS. CONCLUSION: Multivariate linear regression showed that lower METs and lower diastolic blood pressure were associated with prolonged LoS. Understanding patients’ physical functionality can improve logistical planning of hospital stay and selecting patients eligible for early discharge. Open Heart 2017-04-24 /pmc/articles/PMC5471859/ /pubmed/28674621 http://dx.doi.org/10.1136/openhrt-2016-000549 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Interventional Cardiology van Mourik, Martijn S Geenen, Leonie M E Delewi, Ronak Wiegerinck, Esther M A Koch, Karel T Bouma, Berto J Henriques, Jose P de Winter, Robbert J Baan, Jan Vis, M. Marije Predicting hospitalisation duration after transcatheter aortic valve implantation |
title | Predicting hospitalisation duration after transcatheter aortic valve implantation |
title_full | Predicting hospitalisation duration after transcatheter aortic valve implantation |
title_fullStr | Predicting hospitalisation duration after transcatheter aortic valve implantation |
title_full_unstemmed | Predicting hospitalisation duration after transcatheter aortic valve implantation |
title_short | Predicting hospitalisation duration after transcatheter aortic valve implantation |
title_sort | predicting hospitalisation duration after transcatheter aortic valve implantation |
topic | Interventional Cardiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5471859/ https://www.ncbi.nlm.nih.gov/pubmed/28674621 http://dx.doi.org/10.1136/openhrt-2016-000549 |
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