Literature DB >> 33395087

How do we identify the crashing traumatic brain injury patient - the neurosurgeon's view.

Jussi P Posti1, Rahul Raj2, Teemu M Luoto3.   

Abstract

PURPOSE OF REVIEW: To provide an overview on recent advances in the field of assessment and monitoring of patients with severe traumatic brain injury (sTBI) in neurocritical care from a neurosurgical point of view. RECENT
FINDINGS: In high-income countries, monitoring of patients with sTBI heavily relies on multimodal neurocritical parameters, nonetheless clinical assessment still has a solid role in decision-making. There are guidelines and consensus-based treatment algorithms that can be employed in both absence and presence of multimodal monitoring in the management of patients with sTBI. Additionally, novel dynamic monitoring options and machine learning-based prognostic models are introduced. Currently, the acute management and treatment of secondary injury/insults is focused on dealing with the objective evident pathology. An ongoing paradigm shift is emerging towards more proactive treatment of neuroworsening as soon as premonitory signs of deterioration are detected.
SUMMARY: Based on the current evidence, serial clinical assessment, neuroimaging, intracranial and cerebral perfusion pressure and brain tissue oxygen monitoring are key components of sTBI care. Clinical assessment has a crucial role in identifying the crashing patient with sTBI, especially from a neurosurgical standpoint. Multimodal monitoring and clinical assessment should be seen as complementary evaluation methods that support one another.
Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.

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Year:  2021        PMID: 33395087     DOI: 10.1097/MCC.0000000000000799

Source DB:  PubMed          Journal:  Curr Opin Crit Care        ISSN: 1070-5295            Impact factor:   3.687


  1 in total

1.  Assessing the relationship between the cerebral metabolic rate of oxygen and the oxidation state of cytochrome-c-oxidase.

Authors:  Daniel Milej; Ajay Rajaram; Marianne Suwalski; Laura B Morrison; Leena N Shoemaker; Keith St Lawrence
Journal:  Neurophotonics       Date:  2022-07-20       Impact factor: 4.212

  1 in total

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