Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Open Heart 2017
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
_version_ 1783244030521376768
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
work_keys_str_mv AT vanmourikmartijns predictinghospitalisationdurationaftertranscatheteraorticvalveimplantation
AT geenenleonieme predictinghospitalisationdurationaftertranscatheteraorticvalveimplantation
AT delewironak predictinghospitalisationdurationaftertranscatheteraorticvalveimplantation
AT wiegerinckestherma predictinghospitalisationdurationaftertranscatheteraorticvalveimplantation
AT kochkarelt predictinghospitalisationdurationaftertranscatheteraorticvalveimplantation
AT boumabertoj predictinghospitalisationdurationaftertranscatheteraorticvalveimplantation
AT henriquesjosep predictinghospitalisationdurationaftertranscatheteraorticvalveimplantation
AT dewinterrobbertj predictinghospitalisationdurationaftertranscatheteraorticvalveimplantation
AT baanjan predictinghospitalisationdurationaftertranscatheteraorticvalveimplantation
AT vismmarije predictinghospitalisationdurationaftertranscatheteraorticvalveimplantation