EconPapers    
Economics at your fingertips  
 

Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability?

Jan Willem Elting, Marit L Sanders, Ronney B Panerai, Marcel Aries, Edson Bor-Seng-Shu, Alexander Caicedo, Max Chacon, Erik D Gommer, Sabine Van Huffel, José L Jara, Kyriaki Kostoglou, Adam Mahdi, Vasilis Z Marmarelis, Georgios D Mitsis, Martin Müller, Dragana Nikolic, Ricardo C Nogueira, Stephen J Payne, Corina Puppo, Dae C Shin, David M Simpson, Takashi Tarumi, Bernardo Yelicich, Rong Zhang and Jurgen A H R Claassen

PLOS ONE, 2020, vol. 15, issue 1, 1-17

Abstract: 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 0.6) values when cases with low PSD-MABP are removed, and probably also when measurement duration is increased.

Date: 2020
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0227651 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 27651&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0227651

DOI: 10.1371/journal.pone.0227651

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().

 
Page updated 2020-01-18
Handle: RePEc:plo:pone00:0227651