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Reproducibility of dynamic cerebral autoregulation parameters: A multi-centre, multi-method study

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dc.creatorSanders M.L.spa
dc.creatorClaassen J.A.H.R.spa
dc.creatorAries M.spa
dc.creatorBor-Seng-Shu E.spa
dc.creatorCaicedo A.spa
dc.creatorChacon M.spa
dc.creatorGommer E.D.spa
dc.creatorVan Huffel S.spa
dc.creatorJara J.L.spa
dc.creatorKostoglou K.spa
dc.creatorMahdi A.spa
dc.creatorMarmarelis V.Z.spa
dc.creatorMitsis G.D.spa
dc.creatorMüller M.spa
dc.creatorNikolic D.spa
dc.creatorNogueira R.C.spa
dc.creatorPayne S.J.spa
dc.creatorPuppo C.spa
dc.creatorShin D.C.spa
dc.creatorSimpson D.M.spa
dc.creatorTarumi T.spa
dc.creatorYelicich B.spa
dc.creatorZhang R.spa
dc.creatorPanerai R.B.spa
dc.creatorElting J.W.J.spa
dc.date.accessioned2020-05-25T23:58:08Z
dc.date.available2020-05-25T23:58:08Z
dc.date.created2018spa
dc.description.abstractObjective: Different methods to calculate dynamic cerebral autoregulation (dCA) parameters are available. However, most of these methods demonstrate poor reproducibility that limit their reliability for clinical use. Inter-centre differences in study protocols, modelling approaches and default parameter settings have all led to a lack of standardisation and comparability between studies. We evaluated reproducibility of dCA parameters by assessing systematic errors in surrogate data resulting from different modelling techniques. Approach: Fourteen centres analysed 22 datasets consisting of two repeated physiological blood pressure measurements with surrogate cerebral blood flow velocity signals, generated using Tiecks curves (autoregulation index, ARI 0-9) and added noise. For reproducibility, dCA methods were grouped in three broad categories: 1. Transfer function analysis (TFA)-like output; 2. ARI-like output; 3. Correlation coefficient-like output. For all methods, reproducibility was determined by one-way intraclass correlation coefficient analysis (ICC). Main results: For TFA-like methods the mean (SD; [range]) ICC gain was 0.71 (0.10; [0.49-0.86]) and 0.80 (0.17; [0.36-0.94]) for VLF and LF (p = 0.003) respectively. For phase, ICC values were 0.53 (0.21; [0.09-0.80]) for VLF, and 0.92 (0.13; [0.44-1.00]) for LF (p less than 0.001). Finally, ICC for ARI-like methods was equal to 0.84 (0.19; [0.41-0.94]), and for correlation-like methods, ICC was 0.21 (0.21; [0.056-0.35]). Significance: When applied to realistic surrogate data, free from the additional exogenous influences of physiological variability on cerebral blood flow, most methods of dCA modelling showed ICC values considerably higher than what has been reported for physiological data. This finding suggests that the poor reproducibility reported by previous studies may be mainly due to the inherent physiological variability of cerebral blood flow regulatory mechanisms rather than related to (stationary) random noise and the signal analysis methods. © 2018 Institute of Physics and Engineering in Medicine.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1088/1361-6579/aae9fd
dc.identifier.issn9673334
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/22810
dc.language.isoengspa
dc.publisherInstitute of Physics Publishingspa
dc.relation.citationIssueNo. 12
dc.relation.citationTitlePhysiological Measurement
dc.relation.citationVolumeVol. 39
dc.relation.ispartofPhysiological Measurement, ISSN:9673334, Vol.39, No.12 (2018)spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85058910412&doi=10.1088%2f1361-6579%2faae9fd&partnerID=40&md5=4da3abd807d3027594c877e4f38409d2spa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordAgedspa
dc.subject.keywordBlood pressure measurementspa
dc.subject.keywordBrain circulationspa
dc.subject.keywordClinical trialspa
dc.subject.keywordFemalespa
dc.subject.keywordHomeostasisspa
dc.subject.keywordHumanspa
dc.subject.keywordMalespa
dc.subject.keywordMulticenter studyspa
dc.subject.keywordReproducibilityspa
dc.subject.keywordAgedspa
dc.subject.keywordBlood pressure determinationspa
dc.subject.keywordCerebrovascular circulationspa
dc.subject.keywordFemalespa
dc.subject.keywordHomeostasisspa
dc.subject.keywordHumansspa
dc.subject.keywordMalespa
dc.subject.keywordReproducibility of resultsspa
dc.subject.keywordCerebral autoregulationspa
dc.subject.keywordMethod comparisonspa
dc.subject.keywordReproducibilityspa
dc.subject.keywordSurrogate dataspa
dc.titleReproducibility of dynamic cerebral autoregulation parameters: A multi-centre, multi-method studyspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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