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

Transfer 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 vari...

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Tipo de recurso:
Fecha de publicación:
2014
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/27284
Acceso en línea:
https://doi.org/10.1016/j.medengphy.2014.02.002
https://repository.urosario.edu.co/handle/10336/27284
Palabra clave:
Cerebral autoregulation
Transfer function analysis
Method comparison
Standardisation
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id EDOCUR2_ac03ba04b7ee2540333501ed4cb2ecba
oai_identifier_str oai:repository.urosario.edu.co:10336/27284
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling 351bdd56-0853-4cdf-b2d4-8a5f807ddbc6-13e2b8fd0-a874-42f1-bbf6-7e370fec84fc-1d41b4ce2-77ca-4c55-ab7a-aaa24bf79314-18b1efb10-5e07-444e-945b-79a56cfb8d55-18d876f93-b17a-48ae-8693-c228dcc750c7-12020-08-19T14:41:36Z2020-08-19T14:41:36Z2014-05-01Transfer 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.application/pdfhttps://doi.org/10.1016/j.medengphy.2014.02.002ISSN: 1350-4533EISSN: 1873-4030https://repository.urosario.edu.co/handle/10336/27284engIPEM The Institute of Physics and Engineering in MedicineElsevier627No. 5620Medical Engineering and PhysicsVol. 36Medical Engineering and Physics, ISSN: 1350-4533;EISSN: 1873-4030, Vol.36, No.5 (2014); pp. 620-627https://www.sciencedirect.com/science/article/abs/pii/S1350453314000241Restringido (Acceso a grupos específicos)http://purl.org/coar/access_right/c_16ecMedical Engineering and Physicsinstname:Universidad del Rosarioreponame:Repositorio Institucional EdocURCerebral autoregulationTransfer function analysisMethod comparisonStandardisationBetween-centre variability in transfer function analysis, a widely used method for linear quantification of the dynamic pressure--flow relation: The CARNet studyVariabilidad 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 CARNetarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501S.S. Meel van den Abeelena, AishaM. Simpson, DavidJ.Y. Wang, LotteH. Slump, CornelisC. Dorado, Alexander10336/27284oai:repository.urosario.edu.co:10336/272842022-05-02 07:37:21.899174https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Between-centre variability in transfer function analysis, a widely used method for linear quantification of the dynamic pressure--flow relation: The CARNet study
dc.title.TranslatedTitle.spa.fl_str_mv Variabilidad 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 CARNet
title Between-centre variability in transfer function analysis, a widely used method for linear quantification of the dynamic pressure--flow relation: The CARNet study
spellingShingle Between-centre variability in transfer function analysis, a widely used method for linear quantification of the dynamic pressure--flow relation: The CARNet study
Cerebral autoregulation
Transfer function analysis
Method comparison
Standardisation
title_short Between-centre variability in transfer function analysis, a widely used method for linear quantification of the dynamic pressure--flow relation: The CARNet study
title_full Between-centre variability in transfer function analysis, a widely used method for linear quantification of the dynamic pressure--flow relation: The CARNet study
title_fullStr Between-centre variability in transfer function analysis, a widely used method for linear quantification of the dynamic pressure--flow relation: The CARNet study
title_full_unstemmed Between-centre variability in transfer function analysis, a widely used method for linear quantification of the dynamic pressure--flow relation: The CARNet study
title_sort Between-centre variability in transfer function analysis, a widely used method for linear quantification of the dynamic pressure--flow relation: The CARNet study
dc.subject.keyword.spa.fl_str_mv Cerebral autoregulation
Transfer function analysis
Method comparison
Standardisation
topic Cerebral autoregulation
Transfer function analysis
Method comparison
Standardisation
description Transfer 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.
publishDate 2014
dc.date.created.spa.fl_str_mv 2014-05-01
dc.date.accessioned.none.fl_str_mv 2020-08-19T14:41:36Z
dc.date.available.none.fl_str_mv 2020-08-19T14:41:36Z
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.medengphy.2014.02.002
dc.identifier.issn.none.fl_str_mv ISSN: 1350-4533
EISSN: 1873-4030
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/27284
url https://doi.org/10.1016/j.medengphy.2014.02.002
https://repository.urosario.edu.co/handle/10336/27284
identifier_str_mv ISSN: 1350-4533
EISSN: 1873-4030
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 627
dc.relation.citationIssue.none.fl_str_mv No. 5
dc.relation.citationStartPage.none.fl_str_mv 620
dc.relation.citationTitle.none.fl_str_mv Medical Engineering and Physics
dc.relation.citationVolume.none.fl_str_mv Vol. 36
dc.relation.ispartof.spa.fl_str_mv Medical Engineering and Physics, ISSN: 1350-4533;EISSN: 1873-4030, Vol.36, No.5 (2014); pp. 620-627
dc.relation.uri.spa.fl_str_mv https://www.sciencedirect.com/science/article/abs/pii/S1350453314000241
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.rights.acceso.spa.fl_str_mv Restringido (Acceso a grupos específicos)
rights_invalid_str_mv Restringido (Acceso a grupos específicos)
http://purl.org/coar/access_right/c_16ec
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv IPEM The Institute of Physics and Engineering in Medicine
Elsevier
dc.source.spa.fl_str_mv Medical Engineering and Physics
institution Universidad del Rosario
dc.source.instname.none.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.none.fl_str_mv reponame:Repositorio Institucional EdocUR
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
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