Literature DB >> 22134142

The relationship between intracranial pressure and brain oxygenation in children with severe traumatic brain injury.

Ursula K Rohlwink1, Eugene Zwane, A Graham Fieggen, Andrew C Argent, Peter D le Roux, Anthony A Figaji.   

Abstract

BACKGROUND: Intracranial pressure (ICP) monitoring is a cornerstone of care for severe traumatic brain injury (TBI). Management of ICP can help ensure adequate cerebral blood flow and oxygenation. However, studies indicate that brain hypoxia may occur despite normal ICP and the relationship between ICP and brain oxygenation is poorly defined. This is particularly important for children in whom less is known about intracranial dynamics.
OBJECTIVE: To examine the relationship between ICP and partial pressure of brain tissue oxygen (PbtO2) in children with severe TBI (Glasgow Coma Scale score ≤ 8) admitted to Red Cross War Memorial Children's Hospital, Cape Town.
METHODS: The relationship between time-linked hourly and high-frequency ICP and PbtO2 data was examined using correlation, regression, and generalized estimating equations. Thresholds for ICP were examined against reduced PbtO2 using age bands and receiver-operating characteristic curves.
RESULTS: Analysis using more than 8300 hourly (n = 75) and 1 million high-frequency data points (n = 30) demonstrated a weak relationship between ICP and PbtO2 (r = 0.05 and r = 0.04, respectively). No critical ICP threshold for low PbtO2 was identified. Individual patients revealed a strong relationship between ICP and PbtO2 at specific times, but different relationships were evident over longer periods.
CONCLUSION: The relationship between ICP and PbtO2 appears complex, and several factors likely influence both variables separately and in combination. Although very high ICP is associated with reduced PbtO2, in general, absolute ICP has a poor relationship with PbtO2. Because reduced PbtO2 is independently associated with poor outcome, a better understanding of ICP and PbtO2 management in pediatric TBI seems to be needed.

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Year:  2012        PMID: 22134142     DOI: 10.1227/NEU.0b013e318243fc59

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  13 in total

1.  Variations of the blood gas levels and thermodilutional parameters during ICP monitoring after severe head trauma in children.

Authors:  Riccardo Lubrano; Marco Elli; Francesca Stoppa; Mario Di Traglia; Matteo Di Nardo; Daniela Perrotta; Piero David; Sara Paoli; Corrado Cecchetti
Journal:  Childs Nerv Syst       Date:  2015-04-14       Impact factor: 1.475

Review 2.  Targeted treatment in severe traumatic brain injury in the age of precision medicine.

Authors:  Anthony A Figaji; A Graham Fieggen; Ncedile Mankahla; Nico Enslin; Ursula K Rohlwink
Journal:  Childs Nerv Syst       Date:  2017-08-14       Impact factor: 1.475

Review 3.  Brain metabolism and severe pediatric traumatic brain injury.

Authors:  Heidi Griffiths; Manu S Goyal; Jose A Pineda
Journal:  Childs Nerv Syst       Date:  2017-09-06       Impact factor: 1.475

4.  Pathophysiology and Treatment of Severe Traumatic Brain Injuries in Children.

Authors:  Kimberly A Allen
Journal:  J Neurosci Nurs       Date:  2016-02       Impact factor: 1.230

Review 5.  Multimodal Neurologic Monitoring in Children With Acute Brain Injury.

Authors:  Jennifer C Laws; Lori C Jordan; Lindsay M Pagano; John C Wellons; Michael S Wolf
Journal:  Pediatr Neurol       Date:  2022-02-02       Impact factor: 3.372

Review 6.  Multimodality neuromonitoring in severe pediatric traumatic brain injury.

Authors:  Adam M H Young; Mathew R Guilfoyle; Joseph Donnelly; Peter Smielewski; Shruti Agarwal; Marek Czosnyka; Peter J Hutchinson
Journal:  Pediatr Res       Date:  2017-12-20       Impact factor: 3.756

7.  Consensus summary statement of the International Multidisciplinary Consensus Conference on Multimodality Monitoring in Neurocritical Care : a statement for healthcare professionals from the Neurocritical Care Society and the European Society of Intensive Care Medicine.

Authors:  Peter Le Roux; David K Menon; Giuseppe Citerio; Paul Vespa; Mary Kay Bader; Gretchen M Brophy; Michael N Diringer; Nino Stocchetti; Walter Videtta; Rocco Armonda; Neeraj Badjatia; Julian Böesel; Randall Chesnut; Sherry Chou; Jan Claassen; Marek Czosnyka; Michael De Georgia; Anthony Figaji; Jennifer Fugate; Raimund Helbok; David Horowitz; Peter Hutchinson; Monisha Kumar; Molly McNett; Chad Miller; Andrew Naidech; Mauro Oddo; DaiWai Olson; Kristine O'Phelan; J Javier Provencio; Corinna Puppo; Richard Riker; Claudia Robertson; Michael Schmidt; Fabio Taccone
Journal:  Intensive Care Med       Date:  2014-08-20       Impact factor: 17.440

Review 8.  Anatomical and Physiological Differences between Children and Adults Relevant to Traumatic Brain Injury and the Implications for Clinical Assessment and Care.

Authors:  Anthony A Figaji
Journal:  Front Neurol       Date:  2017-12-14       Impact factor: 4.003

Review 9.  Consensus summary statement of the International Multidisciplinary Consensus Conference on Multimodality Monitoring in Neurocritical Care: a statement for healthcare professionals from the Neurocritical Care Society and the European Society of Intensive Care Medicine.

Authors:  Peter Le Roux; David K Menon; Giuseppe Citerio; Paul Vespa; Mary Kay Bader; Gretchen M Brophy; Michael N Diringer; Nino Stocchetti; Walter Videtta; Rocco Armonda; Neeraj Badjatia; Julian Böesel; Randall Chesnut; Sherry Chou; Jan Claassen; Marek Czosnyka; Michael De Georgia; Anthony Figaji; Jennifer Fugate; Raimund Helbok; David Horowitz; Peter Hutchinson; Monisha Kumar; Molly McNett; Chad Miller; Andrew Naidech; Mauro Oddo; DaiWai Olson; Kristine O'Phelan; J Javier Provencio; Corinna Puppo; Richard Riker; Claudia Robertson; Michael Schmidt; Fabio Taccone
Journal:  Neurocrit Care       Date:  2014-12       Impact factor: 3.210

Review 10.  Multimodality monitoring consensus statement: monitoring in emerging economies.

Authors:  Anthony Figaji; Corina Puppo
Journal:  Neurocrit Care       Date:  2014-12       Impact factor: 3.210

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