Literature DB >> 28571485

Continuous Autoregulatory Indices Derived from Multi-Modal Monitoring: Each One Is Not Like the Other.

Frederick A Zeiler1,2,3, Joseph Donnelly4, David K Menon1, Peter Smielewski4, Christian Zweifel5, Ken Brady6, Marek Czosnyka4.   

Abstract

We assess the relationships between various continuous measures of autoregulatory capacity in a cohort of adults with traumatic brain injury (TBI). We assessed relationships between autoregulatory indices derived from intracranial pressure (ICP: PRx, PAx, RAC), transcranial Doppler (TCD: Mx, Sx, Dx), brain tissue-oxygenation (ORx), and spatially resolved near infrared spectroscopy (NIRS resolved: TOx, THx). Relationships between indices were assessed using Pearson correlation coefficient, Friedman test, principal component analysis (PCA), agglomerative hierarchal clustering (AHC) and k-means cluster analysis (KMCA). All analytic techniques were repeated for a range of temporal resolutions of data, including minute-by-minute averages, moving means of 30 samples, and grand mean for each patient. Thirty-seven patients were studied. The PRx displayed strong association with PAx/RAC across all the analytical techniques: Pearson correlation (r = 0.682/r = 0.677, p < 0.0001), PCA, AHC, and KMCA in the grand mean data sheet. Most TCD-based indices (Mx, Dx) were correlated and co-clustered on PCA, AHC, and KMCA. The Sx was found to be more closely associated with ICP-derived indices on Pearson correlation, PCA, AHC, and KMCA. The NIRS indices displayed variable correlation with each other and with indices derived from ICP and TCD signals. Of interest, TOx and THx co-cluster with ICP-based indices on PCA and AHC. The ORx failed to display any meaningful correlations with other indices in neither of the analytical method used. Thirty-minute moving average and minute-by-minute data set displayed similar results across all the methods. The RAC, Mx, and Sx were the strongest predictors of outcome at six months. Continuously updating autoregulatory indices are not all correlated with one another. Caution must be advised when utilizing less commonly described autoregulation indices (i.e., ORx) for the clinical assessment of autoregulatory capacity, because they appear to not be related to commonly measured/establish indices, such as PRx. Further prospective validation is required.

Entities:  

Keywords:  autoregulation; autoregulation index; co-variance; multi-modal monitoring

Mesh:

Year:  2017        PMID: 28571485     DOI: 10.1089/neu.2017.5129

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   5.269


  21 in total

1.  Brain Tissue Oxygen and Cerebrovascular Reactivity in Traumatic Brain Injury: A Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury Exploratory Analysis of Insult Burden.

Authors:  Frederick A Zeiler; Erta Beqiri; Manuel Cabeleira; Peter J Hutchinson; Nino Stocchetti; David K Menon; Marek Czosnyka; Peter Smielewski; Ari Ercole
Journal:  J Neurotrauma       Date:  2020-05-04       Impact factor: 5.269

2.  Validation of Pressure Reactivity and Pulse Amplitude Indices against the Lower Limit of Autoregulation, Part I: Experimental Intracranial Hypertension.

Authors:  Frederick A Zeiler; Joseph Donnelly; Leanne Calviello; Jennifer K Lee; Peter Smielewski; Ken Brady; Dong-Joo Kim; Marek Czosnyka
Journal:  J Neurotrauma       Date:  2018-10-04       Impact factor: 5.269

3.  Diagnostic and prognostic performance of Mxa and transfer function analysis-based dynamic cerebral autoregulation metrics.

Authors:  Markus Harboe Olsen; Christian Riberholt; Ronni R Plovsing; Ronan Mg Berg; Kirsten Møller
Journal:  J Cereb Blood Flow Metab       Date:  2022-08-25       Impact factor: 6.960

4.  Reliability and validity of the mean flow index (Mx) for assessing cerebral autoregulation in humans: A systematic review of the methodology.

Authors:  Markus Harboe Olsen; Christian Gunge Riberholt; Jesper Mehlsen; Ronan Mg Berg; Kirsten Møller
Journal:  J Cereb Blood Flow Metab       Date:  2021-10-07       Impact factor: 6.960

5.  Cerebrovascular Autoregulation Monitoring in the Management of Adult Severe Traumatic Brain Injury: A Delphi Consensus of Clinicians.

Authors:  B Depreitere; G Citerio; M Smith; P David Adelson; M J Aries; T P Bleck; P Bouzat; R Chesnut; V De Sloovere; M Diringer; J Dureanteau; A Ercole; G Hawryluk; C Hawthorne; R Helbok; S P Klein; J O Neumann; C Robba; L Steiner; N Stocchetti; F S Taccone; A Valadka; S Wolf; F A Zeiler; G Meyfroidt
Journal:  Neurocrit Care       Date:  2021-01-25       Impact factor: 3.210

6.  ICP Versus Laser Doppler Cerebrovascular Reactivity Indices to Assess Brain Autoregulatory Capacity.

Authors:  F A Zeiler; J Donnelly; D Cardim; D K Menon; P Smielewski; M Czosnyka
Journal:  Neurocrit Care       Date:  2018-04       Impact factor: 3.210

7.  Evaluation of the relationship between slow-waves of intracranial pressure, mean arterial pressure and brain tissue oxygen in TBI: a CENTER-TBI exploratory analysis.

Authors:  Frederick A Zeiler; Manuel Cabeleira; Peter J Hutchinson; Nino Stocchetti; Marek Czosnyka; Peter Smielewski; Ari Ercole
Journal:  J Clin Monit Comput       Date:  2020-05-16       Impact factor: 2.502

Review 8.  Recent advances in cerebral oximetry. Assessment of cerebral autoregulation with near-infrared spectroscopy: myth or reality?

Authors:  Anneliese Moerman; Stefan De Hert
Journal:  F1000Res       Date:  2017-08-31

Review 9.  Cerebral Pathophysiology in Extracorporeal Membrane Oxygenation: Pitfalls in Daily Clinical Management.

Authors:  Syed Omar Kazmi; Sanjeev Sivakumar; Dimitrios Karakitsos; Abdulrahman Alharthy; Christos Lazaridis
Journal:  Crit Care Res Pract       Date:  2018-03-18

10.  Reliability of the mean flow index (Mx) for assessing cerebral autoregulation in healthy volunteers.

Authors:  Markus H Olsen; Christian G Riberholt; Ronni R Plovsing; Kirsten Møller; Ronan M G Berg
Journal:  Physiol Rep       Date:  2021-06
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