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dc.contributor.authorBeishon, Lucy
dc.contributor.authorKatsogridakis, Emmanuel
dc.contributor.authorMinhas, Jatinder
dc.date.accessioned2024-06-21T13:08:19Z
dc.date.available2024-06-21T13:08:19Z
dc.date.issued2024-06-14
dc.identifier.citationPanerai, R. B., Alshehri, A., Beishon, L. C., Davies, A., Haunton, V. J., Katsogridakis, E., Lam, M. Y., Llwyd, O., Robinson, T. G., & Minhas, J. S. (2024). Determinants of the dynamic cerebral critical closing pressure response to changes in mean arterial pressure. Physiological measurement, 45(6), 10.1088/1361-6579/ad548d. https://doi.org/10.1088/1361-6579/ad548den_US
dc.identifier.other10.1088/1361-6579/ad548d
dc.identifier.urihttp://hdl.handle.net/20.500.12904/18743
dc.description.abstractObjective. Cerebral critical closing pressure (CrCP) represents the value of arterial blood pressure (BP) where cerebral blood flow (CBF) becomes zero. Its dynamic response to a step change in mean BP (MAP) has been shown to reflect CBF autoregulation, but robust methods for its estimation are lacking. We aim to improve the quality of estimates of the CrCP dynamic response.Approach. Retrospective analysis of 437 healthy subjects (aged 18-87 years, 218 males) baseline recordings with measurements of cerebral blood velocity in the middle cerebral artery (MCAv, transcranial Doppler), non-invasive arterial BP (Finometer) and end-tidal CO2(EtCO2, capnography). For each cardiac cycle CrCP was estimated from the instantaneous MCAv-BP relationship. Transfer function analysis of the MAP and MCAv (MAP-MCAv) and CrCP (MAP-CrCP) allowed estimation of the corresponding step responses (SR) to changes in MAP, with the output in MCAv (SRVMCAv) representing the autoregulation index (ARI), ranging from 0 to 9. Four main parameters were considered as potential determinants of the SRVCrCPtemporal pattern, including the coherence function, MAP spectral power and the reconstruction error for SRVMAP, from the other three separate SRs.Main results. The reconstruction error for SRVMAPwas the main determinant of SRVCrCPsignal quality, by removing the largest number of outliers (Grubbs test) compared to the other three parameters. SRVCrCPshowed highly significant (p< 0.001) changes with time, but its amplitude or temporal pattern was not influenced by sex or age. The main physiological determinants of SRVCrCPwere the ARI and the mean CrCP for the entire 5 min baseline period. The early phase (2-3 s) of SRVCrCPresponse was influenced by heart rate whereas the late phase (10-14 s) was influenced by diastolic BP.Significance. These results should allow better planning and quality of future research and clinical trials of novel metrics of CBF regulation.
dc.description.urihttps://iopscience.iop.org/article/10.1088/1361-6579/ad548den_US
dc.language.isoenen_US
dc.subjectcerebral autoregulationen_US
dc.subjectcerebral blood flowen_US
dc.subjectcerebrovascular resistanceen_US
dc.subjectcritical closing pressureen_US
dc.titleDeterminants of the dynamic cerebral critical closing pressure response to changes in mean arterial pressureen_US
dc.typeArticleen_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
rioxxterms.versionNAen_US
rioxxterms.versionofrecordhttps:/doi.org/10.1088/1361-6579/ad548den_US
rioxxterms.typeJournal Article/Reviewen_US
refterms.panelUnspecifieden_US
html.description.abstractObjective. Cerebral critical closing pressure (CrCP) represents the value of arterial blood pressure (BP) where cerebral blood flow (CBF) becomes zero. Its dynamic response to a step change in mean BP (MAP) has been shown to reflect CBF autoregulation, but robust methods for its estimation are lacking. We aim to improve the quality of estimates of the CrCP dynamic response.Approach. Retrospective analysis of 437 healthy subjects (aged 18-87 years, 218 males) baseline recordings with measurements of cerebral blood velocity in the middle cerebral artery (MCAv, transcranial Doppler), non-invasive arterial BP (Finometer) and end-tidal CO2(EtCO2, capnography). For each cardiac cycle CrCP was estimated from the instantaneous MCAv-BP relationship. Transfer function analysis of the MAP and MCAv (MAP-MCAv) and CrCP (MAP-CrCP) allowed estimation of the corresponding step responses (SR) to changes in MAP, with the output in MCAv (SRVMCAv) representing the autoregulation index (ARI), ranging from 0 to 9. Four main parameters were considered as potential determinants of the SRVCrCPtemporal pattern, including the coherence function, MAP spectral power and the reconstruction error for SRVMAP, from the other three separate SRs.Main results. The reconstruction error for SRVMAPwas the main determinant of SRVCrCPsignal quality, by removing the largest number of outliers (Grubbs test) compared to the other three parameters. SRVCrCPshowed highly significant (p< 0.001) changes with time, but its amplitude or temporal pattern was not influenced by sex or age. The main physiological determinants of SRVCrCPwere the ARI and the mean CrCP for the entire 5 min baseline period. The early phase (2-3 s) of SRVCrCPresponse was influenced by heart rate whereas the late phase (10-14 s) was influenced by diastolic BP.Significance. These results should allow better planning and quality of future research and clinical trials of novel metrics of CBF regulation.en_US
rioxxterms.funder.project94a427429a5bcfef7dd04c33360d80cden_US


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