Objective: The time constant of the cerebral arterial bed (τ), which is an index of brain haemodynamics, can be estimated in patients using continuous monitoring of arterial blood pressure (ABP), transcranial Doppler cerebral blood flow velocity (CBFV) and intracranial pressure (ICP) if these measures are available. But, in some clinical scenarios invasive measurement of ABP is not feasible. Therefore, in this study we aimed to investigate whether invasive ABP can be replaced with non-invasive ABP, monitored using the Finapres photoplethysmograph (fABP).
Approach: Forty-six recordings of ICP, ABP, fABP, and CBFV in the right and left middle cerebral arteries were performed daily for approximately 30 min in 10 head injury patients. Two modelling approaches (constant flow forward [CFF, pulsatile blood inflow and steady blood outflow] and pulsatile flow forward [PFF, where both blood inflow and outflow are pulsatile]) were applied to estimate τ using either invasive ABP (τ, τ) or non-invasive ABP (fτ, fτ).
Main Results: Bland-Altman analysis showed quite poor agreement between the fτ and τ methods of estimation. The fτ method produced significantly higher values than the τ method when calculated using both the CFF and PFF models (p < .001 for both). The correlation between fτ and τ was moderately high (r = 0.63; p < .001), whereas that between fτ and τ was weaker (r = 0.40; p = .009).
Significance: Our results suggest that using non-invasive ABP for estimation of τ is inaccurate in head injury patients.
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http://dx.doi.org/10.1088/1361-6579/ab9bb6 | DOI Listing |
Sci Rep
December 2024
School of life & Environmental Science, Guilin University of Electronic Technology, Guilin, 541004, China.
Blood pressure is a crucial indicator of cardiovascular disease, and arterial blood pressure (ABP) waveforms contain information that reflects the cardiovascular status. We propose a novel deep-learning method that converts photoplethysmogram (PPG) signals into ABP waveforms. We used [Formula: see text]-Net as a feature extractor and designed a Bi-block to capture individualised time information in encoder feature extraction.
View Article and Find Full Text PDFPerfusion
November 2024
Department of Thoracic and Cardiovascular Surgery, University of Tuebingen, Tuebingen, Germany.
Introduction: Neurologic complications remain one of the major risks after pediatric cardiac surgery. Cerebral autoregulation (CA) is a physiologic mechanism regulating cerebral perfusion. A dynamic intraoperative evaluation can possibly detect the impairment of the cerebral regulatory function during surgery.
View Article and Find Full Text PDFPhysiol Meas
September 2024
Department of Anesthesiology, Taipei Veterans General Hospital, Taipei 112, Taiwan.
We investigated fluctuations of the photoplethysmography (PPG) waveform in patients undergoing surgery. There is an association between the morphologic variation extracted from arterial blood pressure (ABP) signals and short-term surgical outcomes. The underlying physiology could be the numerous regulatory mechanisms on the cardiovascular system.
View Article and Find Full Text PDFJ Anesth
December 2024
Department of Anesthesiology, Osaka Metropolitan University Graduate School of Medicine, 1-5-7 Asahimachi, Abenoku, Osaka, Osaka, 545-8586, Japan.
Perioper Med (Lond)
July 2024
Department of Anesthesiology and Surgical Intensive Care, University and Regional Hospital Centre Brest, Boulevard Tanguy Prigent, Brest, Cedex, 29609, France.
Background: In the perioperative setting, the most accurate way to continuously measure arterial blood pressure (ABP) is using an arterial catheter. Surrogate methods such as finger cuff have been developed to allow non-invasive measurements and are increasingly used, but need further evaluation. The aim of this study is to evaluate the accuracy and clinical concordance between two devices for the measurement of ABP during neuroradiological procedure.
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