4.5 Article

Transcranial Doppler Systolic Flow Index and ICP-Derived Cerebrovascular Reactivity Indices in Traumatic Brain Injury

Journal

JOURNAL OF NEUROTRAUMA
Volume 35, Issue 2, Pages 314-322

Publisher

MARY ANN LIEBERT, INC
DOI: 10.1089/neu.2017.5364

Keywords

cerebrovascular reactivity; continuous autoregulation indices; co-variance; critical thresholds; TCD

Funding

  1. Cambridge Commonwealth Trust Scholarship
  2. Royal College of Surgeons of Canada-Harry S. Morton Traveling Fellowship in Surgery
  3. University of Manitoba Clinician Investigator Program
  4. R. Samuel McLaughlin Research and Education Award
  5. Manitoba Medical Service Foundation
  6. University of Manitoba-Faculty of Medicine Dean's Fellowship Fund
  7. National Institute for Healthcare Research (NIHR, UK) through the Acute Brain Injury and Repair theme of the Cambridge NIHR Biomedical Research Center, an NIHR Senior Investigator Award
  8. European Union Framework Program 7 grant (CENTER-TBI) [602150]
  9. Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI) - Ministry of Health and Welfare, Republic of Korea [HI17C1790]
  10. Woolf Fisher Scholarship (NZ)
  11. MRC [G0600986] Funding Source: UKRI
  12. Medical Research Council [G0600986] Funding Source: researchfish
  13. National Institute for Health Research [NF-SI-0512-10090] Funding Source: researchfish

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The purpose of our study was to explore relationships between transcranial Doppler (TCD) indices of cerebrovascular reactivity and those derived from intracranial pressure (ICP). Goals included: A) confirming previously described co-variance patterns of TCD/ICP indices, and B) describing thresholds for systolic flow index (Sx; correlation between systolic flow velocity [FVs] and cerebral perfusion pressure [CPP]) associated with outcome. In a retrospective cohort of traumatic brain injury (TBI) patients: with TCD and ICP monitoring, we calculated various continuous indices of cerebrovascular reactivity: A) ICP (pressure reactivity index [PRx]: correlation between ICP and mean arterial pressure [MAP]; PAx: correlation between pulse amplitude of ICP [AMP] and MAP; RAC: correlation between AMP and CPP) and B) TCD (mean flow index [Mx]: correlation between mean flow velocity [FVm] and CPP; Mx_a: correlation between FVm and MAP; Sx: correlation between FVs and CPP; Sx_a: correlation between FVs and MAP; Dx: correlation between diastolic flow velocity [FVd] and CPP; Dx_a: correlation between FVd and MAP). We assessed the relationships via various statistical techniques, including: principal component analysis, agglomerative hierarchal clustering, and k-means cluster analysis (KMCA). We performed sequential chi(2) testing to define thresholds associated with outcome for Sx/Sx_a. Outcome was assessed at 6 months via dichotomized Glasgow Outcome Score (GOS): A) Favorable (GOS 4 or 5) versus Unfavorable (GOS 3 or less), B) Alive versus Dead. We analyzed 410 recordings in 347 patients. All analyses confirmed our previously described co-variance of Sx/Sx_a with ICP-derived indices. Sx displayed thresholds of -0.15 for unfavorable outcome (p < 0.0001) and -0.20 for mortality (p < 0.0001). Sx_a displayed thresholds of +0.05 (p = 0.019) and -0.10 (p = 0.0001) for alive/dead and favorable/unfavorable outcomes. TCD systolic indices are most closely associated with ICP indices. Sx and Sx_a likely provide better approximation of ICP indices, compared with Mx/Mx_a/Dx/Dx_a. Sx provides superior outcome prediction, versus Mx, with defined thresholds.

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