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Interventional cardiology
Original research article
Predicting hospitalisation duration after transcatheter aortic valve implantation
  1. Martijn S van Mourik,
  2. Leonie M E Geenen,
  3. Ronak Delewi,
  4. Esther M A Wiegerinck,
  5. Karel T Koch,
  6. Berto J Bouma,
  7. Jose P Henriques,
  8. Robbert J de Winter,
  9. Jan Baan Jr. and
  10. M. Marije Vis
  1. AMC Heart Center, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
  1. Correspondence to Dr. M. Marije Vis; m.m.vis{at}amc.nl

Abstract

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.

  • transcatheter aortic valve implantation
  • length of stay
  • hospitalisation duration
  • predictors

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/

https://doi.org/10.1136/openhrt-2016-000549

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    Footnotes

    • Competing interests None declared.

    • Provenance and peer review Not commissioned; externally peer reviewed.

    • Data sharing statement Questions regarding data sharing can be adressed to the corresponding author.