NCT04242602

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

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
29

participants targeted

Target at below P25 for all trials

Timeline
Completed

Started Nov 2018

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

November 6, 2018

Completed
10 months until next milestone

First Submitted

Initial submission to the registry

September 16, 2019

Completed
4 months until next milestone

First Posted

Study publicly available on registry

January 27, 2020

Completed
8 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 10, 2020

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

September 10, 2020

Completed
Last Updated

March 30, 2026

Status Verified

March 1, 2026

Enrollment Period

1.8 years

First QC Date

September 16, 2019

Last Update Submit

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

Device: Transcranial Doppler

Control group

Subject without TBI with arterial lines and NIRS monitoring

Device: Transcranial Doppler

Interventions

Record flow velocity tracing of middle cerebral artery using a transcranial doppler.

Control groupExperimental group

Eligibility Criteria

Age28 Days - 18 Years
Sexall
Healthy VolunteersYes
Age GroupsChild (0-17), Adult (18-64)
Sampling MethodProbability Sample
Study Population

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

Study Sites (1)

Children's Medical Center

Dallas, Texas, 75390, United States

Location

Related Publications (22)

  • Coronado VG, Xu L, Basavaraju SV, McGuire LC, Wald MM, Faul MD, Guzman BR, Hemphill JD; Centers for Disease Control and Prevention (CDC). Surveillance for traumatic brain injury-related deaths--United States, 1997-2007. MMWR Surveill Summ. 2011 May 6;60(5):1-32.

    PMID: 21544045BACKGROUND
  • Rivara FP, Koepsell TD, Wang J, Temkin N, Dorsch A, Vavilala MS, Durbin D, Jaffe KM. Disability 3, 12, and 24 months after traumatic brain injury among children and adolescents. Pediatrics. 2011 Nov;128(5):e1129-38. doi: 10.1542/peds.2011-0840. Epub 2011 Oct 24.

    PMID: 22025592BACKGROUND
  • Trenchard 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: 24020439BACKGROUND
  • Schytz 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: 20864356BACKGROUND
  • White H, Venkatesh B. Cerebral perfusion pressure in neurotrauma: a review. Anesth Analg. 2008 Sep;107(3):979-88. doi: 10.1213/ane.0b013e31817e7b1a.

    PMID: 18713917BACKGROUND
  • Donnelly 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: 27145751BACKGROUND
  • Philip 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: 19667845BACKGROUND
  • Udomphorn 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: 18358399BACKGROUND
  • Lovett 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: 29452150BACKGROUND
  • Kochanek 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.

    PMID: 22217782BACKGROUND
  • Panerai RB. Assessment of cerebral pressure autoregulation in humans--a review of measurement methods. Physiol Meas. 1998 Aug;19(3):305-38. doi: 10.1088/0967-3334/19/3/001.

    PMID: 9735883BACKGROUND
  • Claassen 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.

    PMID: 26782760BACKGROUND
  • Friess SH, Kilbaugh TJ, Huh JW. Advanced neuromonitoring and imaging in pediatric traumatic brain injury. Crit Care Res Pract. 2012;2012:361310. doi: 10.1155/2012/361310. Epub 2012 May 21.

    PMID: 22675618BACKGROUND
  • Tsuji M, Saul JP, du Plessis A, Eichenwald E, Sobh J, Crocker R, Volpe JJ. Cerebral intravascular oxygenation correlates with mean arterial pressure in critically ill premature infants. Pediatrics. 2000 Oct;106(4):625-32. doi: 10.1542/peds.106.4.625.

    PMID: 11015501BACKGROUND
  • Brady 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.

    PMID: 17761921BACKGROUND
  • Brady KM, Mytar JO, Lee JK, Cameron DE, Vricella LA, Thompson WR, Hogue CW, Easley RB. Monitoring cerebral blood flow pressure autoregulation in pediatric patients during cardiac surgery. Stroke. 2010 Sep;41(9):1957-62. doi: 10.1161/STROKEAHA.109.575167. Epub 2010 Jul 22.

    PMID: 20651273BACKGROUND
  • Rivera-Lara L, Geocadin R, Zorrilla-Vaca A, Healy R, Radzik BR, Palmisano C, Mirski M, Ziai WC, Hogue C. Validation of Near-Infrared Spectroscopy for Monitoring Cerebral Autoregulation in Comatose Patients. Neurocrit Care. 2017 Dec;27(3):362-369. doi: 10.1007/s12028-017-0421-8.

    PMID: 28664392BACKGROUND
  • Tian F, Tarumi T, Liu H, Zhang R, Chalak L. Wavelet coherence analysis of dynamic cerebral autoregulation in neonatal hypoxic-ischemic encephalopathy. Neuroimage Clin. 2016 Jan 25;11:124-132. doi: 10.1016/j.nicl.2016.01.020. eCollection 2016.

    PMID: 26937380BACKGROUND
  • Tian F, Morriss MC, Chalak L, Venkataraman R, Ahn C, Liu H, Raman L. Impairment of cerebral autoregulation in pediatric extracorporeal membrane oxygenation associated with neuroimaging abnormalities. Neurophotonics. 2017 Oct;4(4):041410. doi: 10.1117/1.NPh.4.4.041410. Epub 2017 Aug 19.

    PMID: 28840161BACKGROUND
  • Otite F, Mink S, Tan CO, Puri A, Zamani AA, Mehregan A, Chou S, Orzell S, Purkayastha S, Du R, Sorond FA. Impaired cerebral autoregulation is associated with vasospasm and delayed cerebral ischemia in subarachnoid hemorrhage. Stroke. 2014 Mar;45(3):677-82. doi: 10.1161/STROKEAHA.113.002630. Epub 2014 Jan 14.

    PMID: 24425120BACKGROUND
  • Purkayastha S, Fadar O, Mehregan A, Salat DH, Moscufo N, Meier DS, Guttmann CR, Fisher ND, Lipsitz LA, Sorond FA. Impaired cerebrovascular hemodynamics are associated with cerebral white matter damage. J Cereb Blood Flow Metab. 2014 Feb;34(2):228-34. doi: 10.1038/jcbfm.2013.180. Epub 2013 Oct 16.

    PMID: 24129749BACKGROUND
  • Plaweski S, Tchouda SD, Dumas J, Rossi J, Moreau Gaudry A, Cinquin P, Bosson JL, Merloz P; STIC NAV Per Op group; Computer Assisted Orthopaedic Surgery-France. Evaluation of a computer-assisted navigation system for anterior cruciate ligament reconstruction: prospective non-randomized cohort study versus conventional surgery. Orthop Traumatol Surg Res. 2012 Oct;98(6 Suppl):S91-7. doi: 10.1016/j.otsr.2012.07.001. Epub 2012 Aug 24.

    PMID: 22922105BACKGROUND

MeSH Terms

Conditions

Brain Injuries, TraumaticBrain InjuriesCerebrovascular Trauma

Interventions

Ultrasonography, Doppler, Transcranial

Condition Hierarchy (Ancestors)

Brain DiseasesCentral Nervous System DiseasesNervous System DiseasesCraniocerebral TraumaTrauma, Nervous SystemWounds and InjuriesCerebrovascular DisordersVascular DiseasesCardiovascular Diseases

Intervention Hierarchy (Ancestors)

EchoencephalographyNeuroradiographyNeuroimagingDiagnostic ImagingDiagnostic Techniques and ProceduresDiagnosisRadiographyUltrasonographyUltrasonography, DopplerDiagnostic Techniques, NeurologicalInvestigative Techniques

Study Officials

  • Darryl Miles

    University of Texas Southwestern Medical Center

    PRINCIPAL INVESTIGATOR

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

Locations