Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability?
We tested the influence of blood pressure variability on the reproducibility of dynamic cerebral autoregulation (DCA) estimates. Data were analyzed from the 2nd CARNet bootstrap initiative, where mean arterial blood pressure (MABP), cerebral blood flow velocity (CBFV) and end tidal CO2 were measured...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/22837
- Acceso en línea:
- https://doi.org/10.1371/JOURNAL.PONE.0227651
https://repository.urosario.edu.co/handle/10336/22837
- Palabra clave:
- Adult
Article
Autoregulation
Blood flow velocity
Blood pressure variability
Bootstrapping
Brain blood flow
Controlled study
End tidal carbon dioxide tension
Female
Human
Human experiment
Intermethod comparison
Major clinical study
Male
Mean arterial pressure
Prediction
Reproducibility
Spectroscopy
Aged
Arterial pressure
Blood pressure
Blood pressure measurement
Brain circulation
Clinical trial
Homeostasis
Middle aged
Middle cerebral artery
Multicenter study
Normal human
Pathophysiology
Physiology
Procedures
Reproducibility
Adult
Aged
Arterial pressure
Blood flow velocity
Blood pressure
Blood pressure determination
Cerebrovascular circulation
Female
Healthy volunteers
Homeostasis
Humans
Male
Middle aged
Middle cerebral artery
Reproducibility of results
- Rights
- License
- Abierto (Texto Completo)
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dc.title.spa.fl_str_mv |
Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability? |
title |
Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability? |
spellingShingle |
Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability? Adult Article Autoregulation Blood flow velocity Blood pressure variability Bootstrapping Brain blood flow Controlled study End tidal carbon dioxide tension Female Human Human experiment Intermethod comparison Major clinical study Male Mean arterial pressure Prediction Reproducibility Spectroscopy Aged Arterial pressure Blood pressure Blood pressure measurement Brain circulation Clinical trial Homeostasis Middle aged Middle cerebral artery Multicenter study Normal human Pathophysiology Physiology Procedures Reproducibility Adult Aged Arterial pressure Blood flow velocity Blood pressure Blood pressure determination Cerebrovascular circulation Female Healthy volunteers Homeostasis Humans Male Middle aged Middle cerebral artery Reproducibility of results |
title_short |
Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability? |
title_full |
Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability? |
title_fullStr |
Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability? |
title_full_unstemmed |
Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability? |
title_sort |
Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability? |
dc.subject.keyword.spa.fl_str_mv |
Adult Article Autoregulation Blood flow velocity Blood pressure variability Bootstrapping Brain blood flow Controlled study End tidal carbon dioxide tension Female Human Human experiment Intermethod comparison Major clinical study Male Mean arterial pressure Prediction Reproducibility Spectroscopy Aged Arterial pressure Blood pressure Blood pressure measurement Brain circulation Clinical trial Homeostasis Middle aged Middle cerebral artery Multicenter study Normal human Pathophysiology Physiology Procedures Reproducibility Adult Aged Arterial pressure Blood flow velocity Blood pressure Blood pressure determination Cerebrovascular circulation Female Healthy volunteers Homeostasis Humans Male Middle aged Middle cerebral artery Reproducibility of results |
topic |
Adult Article Autoregulation Blood flow velocity Blood pressure variability Bootstrapping Brain blood flow Controlled study End tidal carbon dioxide tension Female Human Human experiment Intermethod comparison Major clinical study Male Mean arterial pressure Prediction Reproducibility Spectroscopy Aged Arterial pressure Blood pressure Blood pressure measurement Brain circulation Clinical trial Homeostasis Middle aged Middle cerebral artery Multicenter study Normal human Pathophysiology Physiology Procedures Reproducibility Adult Aged Arterial pressure Blood flow velocity Blood pressure Blood pressure determination Cerebrovascular circulation Female Healthy volunteers Homeostasis Humans Male Middle aged Middle cerebral artery Reproducibility of results |
description |
We tested the influence of blood pressure variability on the reproducibility of dynamic cerebral autoregulation (DCA) estimates. Data were analyzed from the 2nd CARNet bootstrap initiative, where mean arterial blood pressure (MABP), cerebral blood flow velocity (CBFV) and end tidal CO2 were measured twice in 75 healthy subjects. DCA was analyzed by 14 different centers with a variety of different analysis methods. Intraclass Correlation (ICC) values increased significantly when subjects with low power spectral density MABP (PSD-MABP) values were removed from the analysis for all gain, phase and autoregulation index (ARI) parameters. Gain in the low frequency band (LF) had the highest ICC, followed by phase LF and gain in the very low frequency band. No significant differences were found between analysis methods for gain parameters, but for phase and ARI parameters, significant differences between the analysis methods were found. Alternatively, the Spearman-Brown prediction formula indicated that prolongation of the measurement duration up to 35 minutes may be needed to achieve good reproducibility for some DCA parameters. We conclude that poor DCA reproducibility (ICC and lt;0.4) can improve to good (ICC and gt; 0.6) values when cases with low PSD-MABP are removed, and probably also when measurement duration is increased. © 2020 Elting et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
publishDate |
2020 |
dc.date.accessioned.none.fl_str_mv |
2020-05-25T23:58:18Z |
dc.date.available.none.fl_str_mv |
2020-05-25T23:58:18Z |
dc.date.created.spa.fl_str_mv |
2020 |
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/10.1371/JOURNAL.PONE.0227651 |
dc.identifier.issn.none.fl_str_mv |
19326203 |
dc.identifier.uri.none.fl_str_mv |
https://repository.urosario.edu.co/handle/10336/22837 |
url |
https://doi.org/10.1371/JOURNAL.PONE.0227651 https://repository.urosario.edu.co/handle/10336/22837 |
identifier_str_mv |
19326203 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.citationIssue.none.fl_str_mv |
No. 1 |
dc.relation.citationTitle.none.fl_str_mv |
PLoS ONE |
dc.relation.citationVolume.none.fl_str_mv |
Vol. 15 |
dc.relation.ispartof.spa.fl_str_mv |
PLoS ONE, ISSN:19326203, Vol.15, No.1 (2020) |
dc.relation.uri.spa.fl_str_mv |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077765738&doi=10.1371%2fJOURNAL.PONE.0227651&partnerID=40&md5=c8a84e0a8f3fc7206b6fbac25278a68e |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.acceso.spa.fl_str_mv |
Abierto (Texto Completo) |
rights_invalid_str_mv |
Abierto (Texto Completo) http://purl.org/coar/access_right/c_abf2 |
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dc.publisher.spa.fl_str_mv |
Public Library of Science |
institution |
Universidad del Rosario |
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53218a4c-5b0d-4d51-aa8d-7884e100b65f-1b314b022-697b-4cf1-8b03-29db8c58a344-17deb38d9-faad-445a-a5a9-641788d4c146-1f593337d-e3a2-439e-b8b3-577bb80d9aa4-1b1f691a3-d4b5-433f-94f3-c696f4dd0533-10544c289-4862-4319-933c-8e691c699821-1b3c2f764-4d8c-461a-860d-80e9b73bea3d-1373c77e3-5093-43fd-831b-0db88cefa50d-149a968e6-d80d-47ce-9bba-3cd250d057bb-169e741c2-cd04-4adb-b90d-fdf2cf766228-189b40cc2-d14b-46ec-8713-52e3efbfacd6-1233ca51b-f900-4069-afca-ca9051010305-1c2ae2e6b-90bc-4db6-b3f8-38a4b37eeffb-10c198e71-86b9-4997-acdb-c2f3e2ebf040-146f4b5fe-f184-470c-b6ca-69b49a7782ee-1a9264f66-9269-43e5-bb9c-74a7e3ea134e-151854686-d4e6-4a53-a5d9-ebfe43825ba9-139745285-1693-4fe1-a4b3-4a6a0fce5791-1470df8ca-a06f-4eb5-94c7-df3f2f0adb3f-15611b762-e643-4cb5-9e09-58279ac2f6a2-184d4ddad-4b4f-4197-8e1a-b41ed5384618-149fa26b3-f365-445e-9e61-4456bf863863-1684a1903-b316-46de-85d5-3efc4843a670-1f3d4383d-3167-4320-bbd7-7b5fbc8d6e0f-1141395126002020-05-25T23:58:18Z2020-05-25T23:58:18Z2020We tested the influence of blood pressure variability on the reproducibility of dynamic cerebral autoregulation (DCA) estimates. Data were analyzed from the 2nd CARNet bootstrap initiative, where mean arterial blood pressure (MABP), cerebral blood flow velocity (CBFV) and end tidal CO2 were measured twice in 75 healthy subjects. DCA was analyzed by 14 different centers with a variety of different analysis methods. Intraclass Correlation (ICC) values increased significantly when subjects with low power spectral density MABP (PSD-MABP) values were removed from the analysis for all gain, phase and autoregulation index (ARI) parameters. Gain in the low frequency band (LF) had the highest ICC, followed by phase LF and gain in the very low frequency band. No significant differences were found between analysis methods for gain parameters, but for phase and ARI parameters, significant differences between the analysis methods were found. Alternatively, the Spearman-Brown prediction formula indicated that prolongation of the measurement duration up to 35 minutes may be needed to achieve good reproducibility for some DCA parameters. We conclude that poor DCA reproducibility (ICC and lt;0.4) can improve to good (ICC and gt; 0.6) values when cases with low PSD-MABP are removed, and probably also when measurement duration is increased. © 2020 Elting et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.application/pdfhttps://doi.org/10.1371/JOURNAL.PONE.022765119326203https://repository.urosario.edu.co/handle/10336/22837engPublic Library of ScienceNo. 1PLoS ONEVol. 15PLoS ONE, ISSN:19326203, Vol.15, No.1 (2020)https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077765738&doi=10.1371%2fJOURNAL.PONE.0227651&partnerID=40&md5=c8a84e0a8f3fc7206b6fbac25278a68eAbierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURAdultArticleAutoregulationBlood flow velocityBlood pressure variabilityBootstrappingBrain blood flowControlled studyEnd tidal carbon dioxide tensionFemaleHumanHuman experimentIntermethod comparisonMajor clinical studyMaleMean arterial pressurePredictionReproducibilitySpectroscopyAgedArterial pressureBlood pressureBlood pressure measurementBrain circulationClinical trialHomeostasisMiddle agedMiddle cerebral arteryMulticenter studyNormal humanPathophysiologyPhysiologyProceduresReproducibilityAdultAgedArterial pressureBlood flow velocityBlood pressureBlood pressure determinationCerebrovascular circulationFemaleHealthy volunteersHomeostasisHumansMaleMiddle agedMiddle cerebral arteryReproducibility of resultsAssessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability?articleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Elting, Jan WillemSanders, Marit L.Panerai, Ronney B.Aries, MarcelBor-Seng-Shu, EdsonChacon, MaxGommer, Erik D.Van Huffel, SabineJara, José L.Kostoglou, KyriakiMahdi, AdamMarmarelis, Vasilis Z.Mitsis, Georgios D.Müller, MartinNikolic, DraganaNogueira, Ricardo C.Payne, Stephen J.Puppo, CorinaShin, Dae C.Simpson, David M.Tarumi, TakashiYelicich, BernardoZhang, RongClaassen, Jurgen A. H. R.Caicedo Dorado, AlexanderORIGINALjournal-pone-0227651.pdfapplication/pdf2223407https://repository.urosario.edu.co/bitstreams/b5473fbf-934a-403c-a427-0d3f807ada01/download1ce8ab8777a1d1b07f289d3a602f8bd5MD51TEXTjournal-pone-0227651.pdf.txtjournal-pone-0227651.pdf.txtExtracted texttext/plain51801https://repository.urosario.edu.co/bitstreams/ffdb560b-06eb-4b9a-a162-fe8eebfc1d64/download6a5843b19d069466c7344c21b40f5e39MD52THUMBNAILjournal-pone-0227651.pdf.jpgjournal-pone-0227651.pdf.jpgGenerated Thumbnailimage/jpeg4577https://repository.urosario.edu.co/bitstreams/138ed5f8-e73a-4c6b-bbea-d104fead9406/downloadede718c52925105c8b99e705c80c7405MD5310336/22837oai:repository.urosario.edu.co:10336/228372022-05-02 07:37:14.388221https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co |