4.5 Article

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

期刊

JOURNAL OF NEUROTRAUMA
卷 34, 期 22, 页码 3070-3080

出版社

MARY ANN LIEBERT, INC
DOI: 10.1089/neu.2017.5129

关键词

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

资金

  1. Cambridge Commonwealth Trust Scholarship
  2. Royal College of Surgeons of Canada-Harry S. Morton Travelling 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 Centre, an NIHR Senior Investigator Award
  8. European Union Framework Program 7 grant (CENTER-TBI) [602150]
  9. Medical Research Council [G0600986] Funding Source: researchfish
  10. National Institute for Health Research [NF-SI-0512-10090] Funding Source: researchfish
  11. MRC [G0600986] Funding Source: UKRI

向作者/读者索取更多资源

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.

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