Multimodal Monitoring of Cerebral Autoregulation After Pediatric Brain Injury
1 other identifier
observational
29
1 country
1
Brief Summary
Various methods have been studied to evaluate autoregulation. However, there is currently no universally accepted technique to assess integrity of the cerebral autoregulation neurovascular system. In the last decade, significant progress has been achieved in developing methods to assess cerebral autoregulation by quantifying cross-correlation between spontaneous oscillations in CBF or oxygenation and similar oscillations in arterial blood pressure. In this study the investigators will analyze the relationship between spontaneous fluctuations in mean arterial blood pressure and cerebral blood flow velocity or cerebral regional oxygenation to investigate two novel methods for measuring cerebral autoregulation, Transfer Function Analysis and Wavelet Coherence after acute pediatric brain injury.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Nov 2018
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
November 6, 2018
CompletedFirst Submitted
Initial submission to the registry
September 16, 2019
CompletedFirst Posted
Study publicly available on registry
January 27, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 10, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
September 10, 2020
CompletedMarch 30, 2026
March 1, 2026
1.8 years
September 16, 2019
March 24, 2026
Conditions
Outcome Measures
Primary Outcomes (8)
Transfer Function Analysis
The transfer function has three components: I. Gain: This measures the magnitude of transmission of MAP oscillations to CBFv. Effectively, a functional dCA system dampens the strength of transmitted oscillations resulting in a lower gain value. A higher gain value is therefore suggestive of impaired autoregulation. II. Phase is a "time delay" in degrees measured between the two waveforms. Absence of autoregulation would result in both MAP and CBFV changing at the same time. This would be measured as a 0°phase shift. Hence, a non-zero phase shift indicates intact autoregulation and counter-regulation of CBFV in response to changes in MAP. III. Coherence:This provides a measure of association between the two waves at difference frequencies. Coherence varies between 0 and 1, similar to a correlation coefficient it expresses the fraction of MAP linearly associated with CBFv. Gain, phase, and coherence will be aggregated to get the transfer function analysis.
Day 1 post injury
Transfer Function Analysis
The transfer function has three components: I. Gain: This measures the magnitude of transmission of MAP oscillations to CBFv. Effectively, a functional dCA system dampens the strength of transmitted oscillations resulting in a lower gain value. A higher gain value is therefore suggestive of impaired autoregulation. II. Phase is a "time delay" in degrees measured between the two waveforms. Absence of autoregulation would result in both MAP and CBFV changing at the same time. This would be measured as a 0°phase shift. Hence, a non-zero phase shift indicates intact autoregulation and counter-regulation of CBFV in response to changes in MAP. III. Coherence:This provides a measure of association between the two waves at difference frequencies. Coherence varies between 0 and 1, similar to a correlation coefficient it expresses the fraction of MAP linearly associated with CBFv. Gain, phase, and coherence will be aggregated to get the transfer function analysis.
Day 3 post injury
Transfer Function Analysis
The transfer function has three components: I. Gain: This measures the magnitude of transmission of MAP oscillations to CBFv. Effectively, a functional dCA system dampens the strength of transmitted oscillations resulting in a lower gain value. A higher gain value is therefore suggestive of impaired autoregulation. II. Phase is a "time delay" in degrees measured between the two waveforms. Absence of autoregulation would result in both MAP and CBFV changing at the same time. This would be measured as a 0°phase shift. Hence, a non-zero phase shift indicates intact autoregulation and counter-regulation of CBFV in response to changes in MAP. III. Coherence:This provides a measure of association between the two waves at difference frequencies. Coherence varies between 0 and 1, similar to a correlation coefficient it expresses the fraction of MAP linearly associated with CBFv. Gain, phase, and coherence will be aggregated to get the transfer function analysis.
Day 5 post injury
Transfer Function Analysis
The transfer function has three components: I. Gain: This measures the magnitude of transmission of MAP oscillations to CBFv. Effectively, a functional dCA system dampens the strength of transmitted oscillations resulting in a lower gain value. A higher gain value is therefore suggestive of impaired autoregulation. II. Phase is a "time delay" in degrees measured between the two waveforms. Absence of autoregulation would result in both MAP and CBFV changing at the same time. This would be measured as a 0°phase shift. Hence, a non-zero phase shift indicates intact autoregulation and counter-regulation of CBFV in response to changes in MAP. III. Coherence:This provides a measure of association between the two waves at difference frequencies. Coherence varies between 0 and 1, similar to a correlation coefficient it expresses the fraction of MAP linearly associated with CBFv. Gain, phase, and coherence will be aggregated to get the transfer function analysis.
Day 7 post injury
Transfer Function Analysis
The transfer function has three components: I. Gain: This measures the magnitude of transmission of MAP oscillations to CBFv. Effectively, a functional dCA system dampens the strength of transmitted oscillations resulting in a lower gain value. A higher gain value is therefore suggestive of impaired autoregulation. II. Phase is a "time delay" in degrees measured between the two waveforms. Absence of autoregulation would result in both MAP and CBFV changing at the same time. This would be measured as a 0°phase shift. Hence, a non-zero phase shift indicates intact autoregulation and counter-regulation of CBFV in response to changes in MAP. III. Coherence:This provides a measure of association between the two waves at difference frequencies. Coherence varies between 0 and 1, similar to a correlation coefficient it expresses the fraction of MAP linearly associated with CBFv. Gain, phase, and coherence will be aggregated to get the transfer function analysis.
Day 10 post injury
Wavelet Coherence Analysis
Wavelet coherence uses phase, gain and coherence to determine a relationship between the two waveforms values MAP/CPP and SctO2.
Day 10 post injury
Change in Glasgow Outcome Scale Extended-Pediatrics (GOSEP) score
The 8-point Glasgow Outcome Scale Extended-Pediatrics (GOSEP) will be used to assess change in neurologic function from baseline. The GOSEP is composed of 3 parts: eye opening, best motor response, and best verbal response. Eye opening is measure 1-4, the higher the category, the better outcome. Best motor response is measured as 1-6, the higher the score, the better outcome. Best verbal response is measured as 1-5, the higher the score, the better outcome. All 3 categories are summed together to equal a total GOSEP score. The higher the overall score, the better potential outcome.
6 months post discharge.
Change in Pediatric Evaluation of Disability Inventory Computer Adaptive Test (PEDI-CAT) score
Pediatric Evaluation of Disability Inventory Computer Adaptive Test (PEDI-CAT) a validated tool to measure domains of daily activities, mobility, social/cognitive function and responsibility from birth through 18 years. It will be used to assess change from baseline.
6 months post discharge.
Study Arms (2)
Experimental group
Subject with TBI with arterial lines and NIRS monitoring
Control group
Subject without TBI with arterial lines and NIRS monitoring
Interventions
Record flow velocity tracing of middle cerebral artery using a transcranial doppler.
Eligibility Criteria
Children 1-18 years of age with acute TBI admitted to the pediatric intensive care unit.
You may qualify if:
- Ages 28 days-18 years admitted to the PICU at Children's Medical Center Dallas
- Acute presentation (\< 24 hour) onset of neurologic injury
- Acute neurologic injury can be due to any of the following mechanisms:
- Severe accidental or abusive traumatic brain injury
- Severe encephalopathy secondary to cardiac arrest
- Spontaneous intracranial hemorrhage
- Status epilepticus
- Stroke
- Presence of or pending placement of invasive indwelling arterial line for stand medical care
- Any patient with an ICP monitor placed as standard of care
You may not qualify if:
- Patients without an arterial line placed as standard of care
- Patients unable to cooperate with wearing a TCD headpiece device
- Expected death within 24-48 hours
- Inability to place NIRS probes or insonate TCD signal due to massive facial or cranial injury
- Receiving an inhalational anesthetic agent
- Hemoglobinopathy, myoglobinemia or and hyperbilirubinemia (due to inaccurate NIRS readings)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- The University of Texas at Arlingtoncollaborator
- Southern Methodist Universitycollaborator
- University of Texas Southwestern Medical Centerlead
Study Sites (1)
Children's Medical Center
Dallas, Texas, 75390, United States
Related Publications (22)
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PMID: 22025592BACKGROUNDTrenchard SO, Rust S, Bunton P. A systematic review of psychosocial outcomes within 2 years of paediatric traumatic brain injury in a school-aged population. Brain Inj. 2013;27(11):1217-37. doi: 10.3109/02699052.2013.812240.
PMID: 24020439BACKGROUNDSchytz HW, Hansson A, Phillip D, Selb J, Boas DA, Iversen HK, Ashina M. Spontaneous low-frequency oscillations in cerebral vessels: applications in carotid artery disease and ischemic stroke. J Stroke Cerebrovasc Dis. 2010 Nov-Dec;19(6):465-74. doi: 10.1016/j.jstrokecerebrovasdis.2010.06.001.
PMID: 20864356BACKGROUNDWhite H, Venkatesh B. Cerebral perfusion pressure in neurotrauma: a review. Anesth Analg. 2008 Sep;107(3):979-88. doi: 10.1213/ane.0b013e31817e7b1a.
PMID: 18713917BACKGROUNDDonnelly J, Budohoski KP, Smielewski P, Czosnyka M. Regulation of the cerebral circulation: bedside assessment and clinical implications. Crit Care. 2016 May 5;20(1):129. doi: 10.1186/s13054-016-1293-6.
PMID: 27145751BACKGROUNDPhilip S, Udomphorn Y, Kirkham FJ, Vavilala MS. Cerebrovascular pathophysiology in pediatric traumatic brain injury. J Trauma. 2009 Aug;67(2 Suppl):S128-34. doi: 10.1097/TA.0b013e3181ad32c7.
PMID: 19667845BACKGROUNDUdomphorn Y, Armstead WM, Vavilala MS. Cerebral blood flow and autoregulation after pediatric traumatic brain injury. Pediatr Neurol. 2008 Apr;38(4):225-34. doi: 10.1016/j.pediatrneurol.2007.09.012.
PMID: 18358399BACKGROUNDLovett ME, Maa T, Chung MG, O'Brien NF. Cerebral blood flow velocity and autoregulation in paediatric patients following a global hypoxic-ischaemic insult. Resuscitation. 2018 May;126:191-196. doi: 10.1016/j.resuscitation.2018.02.005. Epub 2018 Feb 13.
PMID: 29452150BACKGROUNDKochanek PM, Carney N, Adelson PD, Ashwal S, Bell MJ, Bratton S, Carson S, Chesnut RM, Ghajar J, Goldstein B, Grant GA, Kissoon N, Peterson K, Selden NR, Tasker RC, Tong KA, Vavilala MS, Wainwright MS, Warden CR; American Academy of Pediatrics-Section on Neurological Surgery; American Association of Neurological Surgeons/Congress of Neurological Surgeons; Child Neurology Society; European Society of Pediatric and Neonatal Intensive Care; Neurocritical Care Society; Pediatric Neurocritical Care Research Group; Society of Critical Care Medicine; Paediatric Intensive Care Society UK; Society for Neuroscience in Anesthesiology and Critical Care; World Federation of Pediatric Intensive and Critical Care Societies. Guidelines for the acute medical management of severe traumatic brain injury in infants, children, and adolescents--second edition. Pediatr Crit Care Med. 2012 Jan;13 Suppl 1:S1-82. doi: 10.1097/PCC.0b013e31823f435c. No abstract available.
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PMID: 9735883BACKGROUNDClaassen JA, Meel-van den Abeelen AS, Simpson DM, Panerai RB; international Cerebral Autoregulation Research Network (CARNet). Transfer function analysis of dynamic cerebral autoregulation: A white paper from the International Cerebral Autoregulation Research Network. J Cereb Blood Flow Metab. 2016 Apr;36(4):665-80. doi: 10.1177/0271678X15626425. Epub 2016 Jan 18.
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PMID: 11015501BACKGROUNDBrady KM, Lee JK, Kibler KK, Smielewski P, Czosnyka M, Easley RB, Koehler RC, Shaffner DH. Continuous time-domain analysis of cerebrovascular autoregulation using near-infrared spectroscopy. Stroke. 2007 Oct;38(10):2818-25. doi: 10.1161/STROKEAHA.107.485706. Epub 2007 Aug 30.
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PMID: 22922105BACKGROUND
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Darryl Miles
University of Texas Southwestern Medical Center
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor of Medicine
Study Record Dates
First Submitted
September 16, 2019
First Posted
January 27, 2020
Study Start
November 6, 2018
Primary Completion
September 10, 2020
Study Completion
September 10, 2020
Last Updated
March 30, 2026
Record last verified: 2026-03
Data Sharing
- IPD Sharing
- Will not share