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UltraNurse: teaching point-of-care ultrasound to intensive care nurses

  • Amy Morreale Tulleken
  • Harry Gelissen
  • Erik Lust
  • Thomas Smits
  • Toon van Galen
  • Armand R. J. Girbes
  • Pieter Roel Tuinman
  • Paul W. G. ElbersEmail author
Letter

Dear Editor,

Point-of-care ultrasound (POCUS) is extensively used to better manage critically ill patients at the bedside but relies heavily on skilled operator availability [1]. Teaching POCUS to intensive care nurses could greatly improve this availability and could upgrade POCUS to a more continuous monitoring technique. Therefore, we developed, implemented and analyzed the UltraNurse training and certification program.

In our 24-bed mixed university hospital intensive care unit, we enrolled eight intensive care nurses without prior ultrasound knowledge. They attended two 4-h mixed theoretical and practical training sessions. Our UltraNurse protocol consisted of lung ultrasound (LUS) [2] and determination of the left ventricular outflow tract velocity time integral (LVOT-VTI), a proxy for the cardiac index [3]. After performing five bedside ultrasound examinations under direct supervision, nurses were then supervised at the bedside every third examination until full proficiency was...

Notes

Acknowledgements

This study was supported by institutional funding only. We thank Lotte Exterkate, MD, for assistance during hands-on training; Sander Rozemeijer, MD, for posing as a model for Fig. 1; and all medical and nursing staff for supporting the UltraNurse program.

Compliance with ethical standards

Conflicts of interest

The authors declare that they have no competing interest.

Ethical approval

The local ethics committee permitted a waiver for informed consent for patient data processing (METc 2018.239). However, written informed consent by participating intensive care nurses was required and obtained.

Supplementary material

134_2018_5512_MOESM1_ESM.docx (48 kb)
Supplementary material 1 (DOCX 49 kb)
134_2018_5512_MOESM2_ESM.eps (616 kb)
Supplementary material 2 (EPS 616 kb)

References

  1. 1.
    Mayo P, Arntfield R, Balik M, Kory P, Mathis G, Schmidt G et al (2017) The ICM research agenda on critical care ultrasonography. Intensive Care Med 43:1257–1269CrossRefGoogle Scholar
  2. 2.
    Lichtenstein DA, Mezière GA (2008) Relevance of lung ultrasound in the diagnosis of acute respiratory failure: the BLUE protocol. Chest 134:117–125CrossRefGoogle Scholar
  3. 3.
    Expert Round Table on Echocardiography in ICU (2014) International consensus statement on training standards for advanced critical care echocardiography. Intensive Care Med 40:654–666CrossRefGoogle Scholar
  4. 4.
    See KC, Ong V, Wong SH, Leanda R, Santos J, Taculod J et al (2016) Lung ultrasound training: curriculum implementation and learning trajectory among respiratory therapists. Intensive Care Med 42:63–71CrossRefGoogle Scholar
  5. 5.
    Cecconi M, Hofer C, Teboul J-L, Pettila V, Wilkman E, Molnar Z et al (2015) Fluid challenges in intensive care: the FENICE study. Intensive Care Med 41:1529–1537CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Amy Morreale Tulleken
    • 1
    • 2
    • 3
    • 4
    • 5
  • Harry Gelissen
    • 1
    • 2
    • 3
    • 4
    • 5
  • Erik Lust
    • 1
    • 2
    • 3
    • 4
    • 5
  • Thomas Smits
    • 1
    • 2
    • 3
    • 4
    • 5
  • Toon van Galen
    • 1
    • 2
    • 3
    • 4
    • 5
  • Armand R. J. Girbes
    • 1
    • 2
    • 3
    • 4
    • 5
  • Pieter Roel Tuinman
    • 1
    • 2
    • 3
    • 4
    • 5
  • Paul W. G. Elbers
    • 1
    • 2
    • 3
    • 4
    • 5
    Email author
  1. 1.Department of Intensive Care Medicine, Amsterdam UMC, Location VUmcVrije Universiteit AmsterdamAmsterdamThe Netherlands
  2. 2.Research VUmc Intensive Care (REVIVE)AmsterdamThe Netherlands
  3. 3.Amsterdam Cardiovascular Science (ACS)AmsterdamThe Netherlands
  4. 4.Amsterdam Infection and Immunity Institute (AI&II)AmsterdamThe Netherlands
  5. 5.Amsterdam Medical Data Science (AMDS)AmsterdamThe Netherlands

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