Literature DB >> 19388298

Intracranial pressure variability and long-term outcome following traumatic brain injury.

Catherine J Kirkness1, Robert L Burr, Pamela H Mitchell.   

Abstract

BACKGROUND: Research suggests that intracranial pressure (ICP) dynamics beyond just absolute ICP level provide information reflecting intracranial adaptive capacity. Specifically, evidence indicates that physiologic variability provides information about system functioning that may reflect dimensions of adaptive capacity. The purpose of this study was to examine the association between ICP variability in patients following moderate to severe traumatic brain injury (TBI) and outcome at hospital discharge and 6 months post-injury.
METHODS: ICP was monitored continuously for 4 days in 147 patients (78% male; mean (SD) age = 37 years (18 years)). ICP variability indices were calculated for four time scales (24 h, 60 min, 5 min and 5 s). Functional outcome was assessed using the Extended Glasgow Outcome Scale (GOSE). Logistic regression was used to estimate odds of survival or favorable outcome, and ordinal regression was used to estimate odds for outcome above versus below GOSE thresholds, predicted by ICP variability, controlling for age, gender, Glasgow Coma Scale motor score, craniectomy, and ICP level.
FINDINGS: ICP variability indices were better predictors of 6-month outcome than mean ICP. Survival was significantly associated with greater 5-s ICP variability (p < 0.001). Higher ICP variability on shorter time scales was associated with better functional outcome (5-s RMSSD, 5-min SD: p < 0.002; 60-min SD: p < 0.011).
CONCLUSIONS: ICP variability may reflect the degree of intactness of intracranial adaptive ability.

Entities:  

Mesh:

Year:  2008        PMID: 19388298     DOI: 10.1007/978-3-211-85578-2_21

Source DB:  PubMed          Journal:  Acta Neurochir Suppl        ISSN: 0065-1419


  10 in total

1.  Outcome Prediction for Patients with Traumatic Brain Injury with Dynamic Features from Intracranial Pressure and Arterial Blood Pressure Signals: A Gaussian Process Approach.

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Review 4.  Machine Learning and Artificial Intelligence in Neurocritical Care: a Specialty-Wide Disruptive Transformation or a Strategy for Success.

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5.  Prognosis of Six-Month Glasgow Outcome Scale in Severe Traumatic Brain Injury Using Hospital Admission Characteristics, Injury Severity Characteristics, and Physiological Monitoring during the First Day Post-Injury.

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Review 6.  Big data and predictive analytics in neurocritical care.

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8.  Higher intracranial pressure variability is associated with lower cerebrovascular resistance in aneurysmal subarachnoid hemorrhage.

Authors:  Teodor Svedung Wettervik; Henrik Engquist; Timothy Howells; Anders Hånell; Elham Rostami; Elisabeth Ronne-Engström; Anders Lewén; Per Enblad
Journal:  J Clin Monit Comput       Date:  2022-07-17       Impact factor: 1.977

Review 9.  Multimodality monitoring: informatics, integration data display and analysis.

Authors:  J Michael Schmidt; Michael De Georgia
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10.  Low intracranial pressure variability is associated with delayed cerebral ischemia and unfavorable outcome in aneurysmal subarachnoid hemorrhage.

Authors:  Teodor Svedung Wettervik; Timothy Howells; Anders Hånell; Elisabeth Ronne-Engström; Anders Lewén; Per Enblad
Journal:  J Clin Monit Comput       Date:  2021-03-16       Impact factor: 1.977

  10 in total

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