Llwyd et al Cerebral Autoregulation During Ectopic Beats.pdf (578.64 kB)
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Can we assess dynamic cerebral autoregulation in stroke patients with high rates of cardiac ectopicity?

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journal contribution
posted on 17.12.2019, 16:56 by Osian Llwyd, Victoria Haunton, Angela S M Salinet, Mintu Nath, Man Y Lam, Nazia P Saeed, Fiona Brodie, Thompson G Robinson, Ronney B Panerai
It is unclear whether physiological recordings containing high numbers of ectopic heartbeats can be used to measure the cerebral autoregulation (CA) of blood flow. This study evaluated the utility of such data for assessing dynamic CA capacity. Physiological recordings of cerebral blood flow velocity, heart rate, end-tidal CO2 and beat-to-beat blood pressure from acute ischaemic stroke (AIS) patients (n = 46) containing ectopic heartbeats of varying number (0.2 to 25 occurrences per minute) were analysed. Dynamic CA was determined using the autoregulation index (ARI) and the normalised mean square error (NMSE) was used to evaluate the fitting of the step response between BP and CBFV to Tiecks’ model. We fitted linear mixed models on the CA variables incorporating ectopic burden, age, sex and hemisphere as predictor variables. Ectopic activity demonstrated an association with mean coherence (p = 0.006) but not with ARI (p = 0.162), impaired CA based on dichotomised ARI (p = 0.859) or NMSE (p = 0.671). Dynamic CA could be reliably assessed in AIS patients using physiological recordings with high rates of cardiac ectopic activity. This provides supportive data for future studies evaluating CA capability in AIS patients, with the potential to develop more individualised treatment strategies. [Figure not available: see fulltext.].

History

Citation

Medical and Biological Engineering and Computing (2019) 57: 2731. https://doi.org/10.1007/s11517-019-02064-0

Author affiliation

Department of Cardiovascular Sciences

Version

AM (Accepted Manuscript)

Published in

Medical and Biological Engineering and Computing

Volume

57

Issue

12

Pagination

2731 - 2739

Publisher

Springer Science and Business Media LLC

issn

0140-0118

eissn

1741-0444

Copyright date

2019

Publisher version

https://link.springer.com/article/10.1007/s11517-019-02064-0#enumeration

Spatial coverage

United States

Language

eng