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Ventilator flow data predict bronchopulmonary dysplasia in extremely premature neonates

Mariann H. Bentsen, Trond Markestad, Thomas Halvorsen
ERJ Open Research 2018 4: 00099-2017; DOI: 10.1183/23120541.00099-2017
Mariann H. Bentsen
1Dept of Pediatrics, Haukeland University Hospital, Bergen, Norway
2Dept of Clinical Science, Faculty of Medicine and Odontology, University of Bergen, Bergen, Norway
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  • For correspondence: bens@helse-bergen.no
Trond Markestad
1Dept of Pediatrics, Haukeland University Hospital, Bergen, Norway
2Dept of Clinical Science, Faculty of Medicine and Odontology, University of Bergen, Bergen, Norway
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Thomas Halvorsen
1Dept of Pediatrics, Haukeland University Hospital, Bergen, Norway
2Dept of Clinical Science, Faculty of Medicine and Odontology, University of Bergen, Bergen, Norway
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Article Information

vol. 4 no. 1
DOI 
https://doi.org/10.1183/23120541.00099-2017

Published By 
European Respiratory Society
Online ISSN 
2312-0541
History 
  • Received August 14, 2017
  • Accepted January 24, 2018
  • Published online March 13, 2018.

Copyright & Usage 
Copyright ©ERS 2018 This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0.

Author Information

  1. Mariann H. Bentsen1,2⇑,
  2. Trond Markestad1,2 and
  3. Thomas Halvorsen1,2
  1. 1Dept of Pediatrics, Haukeland University Hospital, Bergen, Norway
  2. 2Dept of Clinical Science, Faculty of Medicine and Odontology, University of Bergen, Bergen, Norway
  1. Mariann Bentsen, Dept of Pediatrics, Haukeland University Hospital, N-5021, Bergen, Norway. E-mail: bens{at}helse-bergen.no
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Ventilator flow data predict bronchopulmonary dysplasia in extremely premature neonates
Mariann H. Bentsen, Trond Markestad, Thomas Halvorsen
ERJ Open Research Jan 2018, 4 (1) 00099-2017; DOI: 10.1183/23120541.00099-2017

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Ventilator flow data predict bronchopulmonary dysplasia in extremely premature neonates
Mariann H. Bentsen, Trond Markestad, Thomas Halvorsen
ERJ Open Research Jan 2018, 4 (1) 00099-2017; DOI: 10.1183/23120541.00099-2017
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