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Automated infrared pupillometry for neurological prognostication after extracorporeal cardiopulmonary resuscitation

  • Omar Ellouze
  • Tiberiu Constandache
  • Vivien Berthoud
  • Pierre Voizeux
  • Belaid Bouhemad
  • Pierre-Grégoire GuinotEmail author
Letter

Dear Editor,

Extracorporeal cardiopulmonary resuscitation (E-CPR) is increasingly being used for refractory cardiac arrest with encouraging results [1]. Because E-CPR is a complex and expensive technique, initial patient selection is essential to obtain satisfactory outcome [2]. Early neurological evaluation of this population may be difficult [3]. Recently, a quantitative assessment of pupillary light reflex (PLR) was described for the prognostication of cardiac arrest [4, 5]. Our objective was to assess the usefulness of PLR in E-CPR patients.

This study was part of our prospective observational extracorporeal membrane oxygenation (ECMO) database. Consecutive E-CPR patients admitted to our Cardiac Intensive Care Unit between September 2017 and September 2019 were analyzed. Because the described procedures are part of our standard of care, patient consent was waived; written information was delivered to patients or their next of kin (No2049147V0, NCT03633981). E-CPR protocol and...

Notes

Author contributions

PGG takes responsibility for the integrity of the work as a whole, from inception to published article. All authors substantially contributed to the conception and design of this study. VB and TC acquired the data. All authors were involved in the interpretation of data. PGG and OE drafted the manuscript and all authors revised it critically for important intellectual content. All authors read and approved the final manuscript.

Funding

None.

Compliance with ethical standards

Conflicts of interest

Financial/non-financial disclosures: the authors have disclosed that they do not have any conflicts of interest.

Supplementary material

134_2019_5916_MOESM1_ESM.docx (886 kb)
Supplementary file1 (DOCX 886 kb)

References

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    Ellouze O, Vuillet M, Perrot J et al (2017) Comparable outcome of out-of-hospital cardiac arrest and in-hospital cardiac arrest treated with extracorporeal life support. Artif Organs 42:15–21.  https://doi.org/10.1111/aor.12992 CrossRefPubMedGoogle Scholar
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    Stub D, Bernard S, Pellegrino V et al (2015) Refractory cardiac arrest treated with mechanical CPR, hypothermia, ECMO and early reperfusion (the CHEER trial). Resuscitation 86:88–94.  https://doi.org/10.1016/j.resuscitation.2014.09.010 CrossRefPubMedGoogle Scholar
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    Sutter R, Tisljar K, Marsch S (2018) Acute neurologic complications during extracorporeal membrane oxygenation: a systematic review. Crit Care Med 46:1506–1513.  https://doi.org/10.1097/CCM.000000000000322 CrossRefPubMedGoogle Scholar
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    Suys T, Bouzat P, Marques-Vidal P et al (2014) Automated quantitative pupillometry for the prognostication of coma after cardiac arrest. Neurocrit Care 21:300–308.  https://doi.org/10.1007/s12028-014-9981-z CrossRefPubMedGoogle Scholar
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    Oddo M, Sandroni C, Citerio G et al (2018) Quantitative versus standard pupillary light reflex for early prognostication in comatose cardiac arrest patients: an international prospective multicenter double-blinded study. Intensive Care Med 44:2102–2111.  https://doi.org/10.1007/s00134-018-5448-6 CrossRefPubMedPubMedCentralGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2020

Authors and Affiliations

  1. 1.Unité d’Anesthésie Réanimation Cardio-VasculaireCHU François MitterrandDijon CedexFrance

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