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Between-centre variability in transfer function analysis, a widely used method for linear quantification of the dynamic pressure--flow relation: The CARNet study

dc.creatorS.S. Meel van den Abeelena, Aishaspa
dc.creatorM. Simpson, Davidspa
dc.creatorJ.Y. Wang, Lottespa
dc.creatorH. Slump, Cornelisspa
dc.creatorC. Dorado, Alexanderspa
dc.date.accessioned2020-08-19T14:41:36Z
dc.date.available2020-08-19T14:41:36Z
dc.date.created2014-05-01spa
dc.description.abstractTransfer function analysis (TFA) is a frequently used method to assess dynamic cerebral autoregulation (CA) using spontaneous oscillations in blood pressure (BP) and cerebral blood flow velocity (CBFV). However, controversies and variations exist in how research groups utilise TFA, causing high variability in interpretation. The objective of this study was to evaluate between-centre variability in TFA outcome metrics. 15 centres analysed the same 70 BP and CBFV datasets from healthy subjects (n = 50 rest; n = 20 during hypercapnia); 10 additional datasets were computer-generated. Each centre used their in-house TFA methods; however, certain parameters were specified to reduce a priori between-centre variability. Hypercapnia was used to assess discriminatory performance and synthetic data to evaluate effects of parameter settings. Results were analysed using the Mann–Whitney test and logistic regression. A large non-homogeneous variation was found in TFA outcome metrics between the centres. Logistic regression demonstrated that 11 centres were able to distinguish between normal and impaired CA with an AUC > 0.85. Further analysis identified TFA settings that are associated with large variation in outcome measures. These results indicate the need for standardisation of TFA settings in order to reduce between-centre variability and to allow accurate comparison between studies. Suggestions on optimal signal processing methods are proposed.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1016/j.medengphy.2014.02.002
dc.identifier.issnISSN: 1350-4533
dc.identifier.issnEISSN: 1873-4030
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/27284
dc.language.isoengspa
dc.publisherIPEM The Institute of Physics and Engineering in Medicinespa
dc.publisherElsevierspa
dc.relation.citationEndPage627
dc.relation.citationIssueNo. 5
dc.relation.citationStartPage620
dc.relation.citationTitleMedical Engineering and Physics
dc.relation.citationVolumeVol. 36
dc.relation.ispartofMedical Engineering and Physics, ISSN: 1350-4533;EISSN: 1873-4030, Vol.36, No.5 (2014); pp. 620-627spa
dc.relation.urihttps://www.sciencedirect.com/science/article/abs/pii/S1350453314000241spa
dc.rights.accesRightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.accesoRestringido (Acceso a grupos específicos)spa
dc.sourceMedical Engineering and Physicsspa
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subject.keywordCerebral autoregulationspa
dc.subject.keywordTransfer function analysisspa
dc.subject.keywordMethod comparisonspa
dc.subject.keywordStandardisationspa
dc.titleBetween-centre variability in transfer function analysis, a widely used method for linear quantification of the dynamic pressure--flow relation: The CARNet studyspa
dc.title.TranslatedTitleVariabilidad entre centros en el análisis de la función de transferencia, un método ampliamente utilizado para la cuantificación lineal de la relación dinámica presión-flujo: el estudio CARNetspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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