Literature DB >> 25287403

Relationship between cerebral blood flow and blood pressure in long-term heart transplant recipients.

Jonathan D Smirl1, Mark J Haykowsky2, Michael D Nelson2, Yu-Chieh Tzeng2, Katelyn R Marsden2, Helen Jones2, Philip N Ainslie2.   

Abstract

Heart transplant recipients are at an increased risk for cerebral hemorrhage and ischemic stroke; yet, the exact mechanism for this derangement remains unclear. We hypothesized that alterations in cerebrovascular regulation is principally involved. To test this hypothesis, we studied cerebral pressure-flow dynamics in 8 clinically stable male heart transplant recipients (62±8 years of age and 9±7 years post transplant, mean±SD), 9 male age-matched controls (63±8 years), and 10 male donor controls (27±5 years). To increase blood pressure variability and improve assessment of the pressure-flow dynamics, subjects performed squat-stand maneuvers at 0.05 and 0.10 Hz. Beat-to-beat blood pressure, middle cerebral artery velocity, and end-tidal carbon dioxide were continuously measured during 5 minutes of seated rest and throughout the squat-stand maneuvers. Cardiac baroreceptor sensitivity gain and cerebral pressure-flow responses were assessed with linear transfer function analysis. Heart transplant recipients had reductions in R-R interval power and baroreceptor sensitivity low frequency gain (P<0.01) compared with both control groups; however, these changes were unrelated to transfer function metrics. Thus, in contrast to our hypothesis, the increased risk of cerebrovascular complication after heart transplantation does not seem to be related to alterations in cerebral pressure-flow dynamics. Future research is, therefore, warranted.
© 2014 American Heart Association, Inc.

Entities:  

Keywords:  autoregulation; blood pressure; cardiac transplantation; cerebrovascular circulation; transcranial Doppler ultrasonography

Mesh:

Year:  2014        PMID: 25287403     DOI: 10.1161/HYPERTENSIONAHA.114.04236

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   10.190


  13 in total

1.  Arterial Pressure, Heart Rate, and Cerebral Hemodynamics Across the Adult Life Span.

Authors:  Chang-Yang Xing; Takashi Tarumi; Rutger L Meijers; Marcel Turner; Justin Repshas; Li Xiong; Kan Ding; Wanpen Vongpatanasin; Li-Jun Yuan; Rong Zhang
Journal:  Hypertension       Date:  2017-02-13       Impact factor: 10.190

2.  Methodological comparison of active- and passive-driven oscillations in blood pressure; implications for the assessment of cerebral pressure-flow relationships.

Authors:  Jonathan D Smirl; Keegan Hoffman; Yu-Chieh Tzeng; Alex Hansen; Philip N Ainslie
Journal:  J Appl Physiol (1985)       Date:  2015-07-16

3.  Relationship between blood pressure and cerebral blood flow during supine cycling: influence of aging.

Authors:  Jonathan D Smirl; Keegan Hoffman; Yu-Chieh Tzeng; Alex Hansen; Philip N Ainslie
Journal:  J Appl Physiol (1985)       Date:  2015-11-19

4.  Neurovascular coupling on trial: How the number of trials completed impacts the accuracy and precision of temporally derived neurovascular coupling estimates.

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Journal:  J Cereb Blood Flow Metab       Date:  2022-02-25       Impact factor: 6.960

5.  The impact of age, sex, cardio-respiratory fitness, and cardiovascular disease risk on dynamic cerebral autoregulation and baroreflex sensitivity.

Authors:  Joseph D Maxwell; Daniel J Bannell; Aine Brislane; Sophie E Carter; Gemma D Miller; Kirsty A Roberts; Nicola D Hopkins; David A Low; Howard H Carter; Andrew Thompson; Jurgen A H R Claassen; Dick H J Thijssen; Helen Jones
Journal:  Eur J Appl Physiol       Date:  2022-04-16       Impact factor: 3.346

6.  Quantitative research into the deconditioning of hemodynamic to disorder of consciousness carried out using transcranial Doppler ultrasonography and photoplethysmography obtained via finger-transmissive absorption.

Authors:  Zhen Liu; Yan Zhou; Rui Yi; Jianghong He; Yi Yang; Li Luo; Yiwu Dai; Xiaomin Luo
Journal:  Neurol Sci       Date:  2016-01-12       Impact factor: 3.307

7.  How many squat-stand manoeuvres to assess dynamic cerebral autoregulation?

Authors:  S C Barnes; N Ball; V J Haunton; T G Robinson; R B Panerai
Journal:  Eur J Appl Physiol       Date:  2018-08-20       Impact factor: 3.078

8.  The validity and reliability of an open source biosensing board to quantify heart rate variability.

Authors:  Joel S Burma; Andrew P Lapointe; Ateyeh Soroush; Ibukunoluwa K Oni; Jonathan D Smirl; Jeff F Dunn
Journal:  Heliyon       Date:  2021-05-27

9.  Comparison of diurnal variation, anatomical location, and biological sex within spontaneous and driven dynamic cerebral autoregulation measures.

Authors:  Joel S Burma; Paige Copeland; Alannah Macaulay; Omeet Khatra; Jonathan D Smirl
Journal:  Physiol Rep       Date:  2020-06

10.  Does depth of squat-stand maneuver affect estimates of dynamic cerebral autoregulation?

Authors:  Angus P Batterham; Ronney B Panerai; Thompson G Robinson; Victoria J Haunton
Journal:  Physiol Rep       Date:  2020-08
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