Autonomic function and cerebral autoregulation in patients undergoing carotid endarterectomy

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

Abstract

Background: Carotid endarterectomy (CEA) is the first-line treatment in severe carotid stenosis to prevent stroke. Because of methodological limitations, the acute impact of CEA on baroreflex function and cerebral autoregulation is not well defined and was therefore investigated by applying a novel algorithm. Methods and Results: Systemic arterial blood pressure, ECG and respiration during metronomic breathing and Valsalva maneuver were continuously recorded in 18 patients with carotid stenosis before and after CEA, and in 10 healthy controls. Baroreflex sensitivity, frequency spectra of RR intervals and indices for cerebral autoregulation were evaluated by trigonometric regressive spectral analysis. Compared with the controls, patients had impaired baroreflex sensitivity. Baroreflex sensitivity and frequency spectra were not changed by CEA. Cerebral autoregulation of patients with carotid stenosis as calculated by phase shift was reduced compared with controls but it improved significantly after CEA. Improvement of cerebral autoregulation was independent of changes in cerebral blood flow velocity. Conclusions: Baroreflex sensitivity and cerebral autoregulation are impaired in patients with carotid stenosis, conferring a high stroke risk. CEA improves cerebral autoregulation, but does not affect baroreflex sensitivity. For further risk reduction, interventional approaches targeting baroreflex function need to be considered.

Details

Original languageEnglish
Pages (from-to)2139-2145
Number of pages7
JournalCirculation journal
Volume74
Issue number10
Publication statusPublished - 2010
Peer-reviewedYes

External IDs

PubMed 20689219
ORCID /0000-0002-2586-8987/work/146644355
ORCID /0000-0001-8799-8202/work/171553494

Keywords

Keywords

  • Baroreflex sensitivity, Carotid endarterectomy, Carotid stenosis, Cerebral autoregulation, Spectral analysis