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dc.contributor.authorThelin, Ericen
dc.contributor.authorRaj, Rahulen
dc.contributor.authorBellander, Bo-Michaelen
dc.contributor.authorNelson, Daviden
dc.contributor.authorPiippo-Karjalainen, Annaen
dc.contributor.authorSiironen, Jarien
dc.contributor.authorTanskanen, Päivien
dc.contributor.authorHawryluk, Gregoryen
dc.contributor.authorHasen, Mohammeden
dc.contributor.authorUnger, Bertramen
dc.contributor.authorZeiler, Fredericken
dc.date.accessioned2019-09-25T10:56:25Z
dc.date.available2019-09-25T10:56:25Z
dc.date.issued2020-10en
dc.identifier.issn1387-1307
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/297090
dc.description.abstractPurpose: Current accepted cerebrovascular reactivity indices suffer from the need of high frequency data capture and export for post-acquisition processing. The role for minute-by-minute data in cerebrovascular reactivity monitoring remains uncertain. The goal was to explore the statistical time-series relationships between intra-cranial pressure (ICP), mean arterial pressure (MAP) and pressure reactivity index (PRx) using both 10-second and minute data update frequency in TBI. Methods: Prospective data from 31 patients from 3 centers with moderate/severe TBI and high-frequency archived physiology were reviewed. Both 10-second by 10-second and minute-by-minute mean values were derived for ICP and MAP for each patient. Similarly, PRx was derived using 30 consecutive 10-sec data points, updated every minute. While long-PRx (L-PRx) was derived via similar methodology using minute-by-minute data, with L-PRx derived using various window lengths (5, 10, 20, 30, 40, and 60 minutes; denoted L-PRx_5, etc.). Time-series autoregressive integrative moving average (ARIMA) and vector autoregressive integrative moving average (VARIMA) models were created to analyze the relationship of these parameters over time. Results: ARIMA modelling, Granger causality testing and VARIMA impulse response function (IRF) plotting demonstrated that similar information is carried in minute mean ICP and MAP data, compared to 10-second mean slow-wave ICP and MAP data. Shorter window L-PRx variants, such as L-PRx_5, appear to have a similar ARIMA structure, have a linear association with PRx and display moderate-to-strong correlations (r~0.700, p<0.0001 for each patient). Thus, these particular L-PRx variants appear closest in nature to standard PRx. Conclusions: ICP and MAP derived via 10-sec or minute based averaging display similar statistical time-series structure and co-variance patterns. PRx and L-PRx based on shorter windows also behave similarly over time. These results imply certain L-PRx variants may carry similar information to PRx in TBI. Keywords: autoregulation, cerebrovascular reactivity, low-frequency, TBI
dc.format.mediumPrint-Electronicen
dc.languageengen
dc.publisherSpringer Nature
dc.rightsAll rights reserved
dc.rights.uri
dc.titleComparison of high versus low frequency cerebral physiology for cerebrovascular reactivity assessment in traumatic brain injury: a multi-center pilot study.en
dc.typeArticle
prism.endingPage994
prism.issueIdentifier5en
prism.publicationDate2020en
prism.publicationNameJournal of clinical monitoring and computingen
prism.startingPage971
prism.volume34en
dc.identifier.doi10.17863/CAM.44140
dcterms.dateAccepted2019-09-22en
rioxxterms.versionofrecord10.1007/s10877-019-00392-yen
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2020-10en
dc.contributor.orcidThelin, Eric [0000-0002-2338-4364]
dc.contributor.orcidRaj, Rahul [0000-0003-4243-9591]
dc.contributor.orcidZeiler, Frederick [0000-0003-1737-0510]
dc.identifier.eissn1573-2614
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idEC FP7 CP (602150)
cam.orpheus.successThu Jan 30 10:38:07 GMT 2020 - Embargo updated*
rioxxterms.freetoread.startdate2020-10-31


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