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Published in: Neurocritical Care 1/2022

01-02-2022 | Original work

The Effect of Data Length on the Assessment of Dynamic Cerebral Autoregulation with Transfer Function Analysis in Neurological ICU Patients

Authors: Weijun Zhang, Hongji Lu, Pandeng Zhang, Xiuyun Mo, Aihua Ou, Jia Liu, Jingxin Zhong

Published in: Neurocritical Care | Issue 1/2022

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Abstract

Background

Cerebral autoregulation plays an important role in safeguarding adequate cerebral perfusion and reducing the risk of secondary brain injury, which is highly important for patients in the neurological intensive care unit (neuro-ICU). Although the consensus white paper suggests that a minimum of 5 min of data are needed for assessing dynamic cerebral autoregulation with transfer function analysis (TFA), it remains unknown if the length of these data is valid for patients in the neuro-ICU, of whom are notably different than the general populations. We aimed to investigate the effect of data length using transcranial Doppler ultrasound combined with invasive blood pressure measurement for the assessment of dynamic cerebral autoregulation in patients in the neuro-ICU.

Methods

Twenty patients with various clinical conditions (severe acute encephalitis, ischemic stroke, subarachnoid hemorrhage, brain injury, cerebrovascular intervention operation, cerebral hemorrhage, intracranial space-occupying lesion, and toxic encephalopathy) were recruited for this study. Continuous invasive blood pressure, with a pressure catheter placed at the radial artery, and bilateral continuous cerebral blood flow velocity with transcranial Doppler ultrasound were simultaneously recorded for a length of 10 min for each patient. TFA was applied to derive phase shift, gain, and coherence function at all frequency bands from the first 2, 3, 4, 5, 6, 7, 8, 9, and 10 min of the 10-min recordings in each patient on both hemispheres. The variability in the autoregulatory parameters in each hemisphere was investigated by repeated measures analysis of variance.

Results

Forty-one recordings (82 hemispheres) were included in the study. According to the critical values of coherence provided by the Cerebral Autoregulation Research Network white paper, acceptable rates for the data were 100% with a length ≥ 7 min. The final analysis included 68 hemispheres. The effects of data length on trends in phase shift in the very low frequency (VLF) band (F1.801,120.669 = 6.321, P = 0.003), in the LF band (F1.274,85.343 = 4.290, P = 0.032), and in the HF band (F1.391,93.189 = 3.868, P = 0.039) were significant for 3–7 min, for 4–7 min, and for 5–8 min, respectively. Effects were also significant on the gain in the VLF band (F1.927,129.134 = 3.215, P = 0.045) for 2–8 min and on the coherence function in all frequency bands (VLF F2.846,190.671 = 90.247, P < 0.001, LF F2.515,168.492 = 55.770, P < 0.001, HF F2.411, 161.542 = 33.833, P < 0.001) for 2–10 min.

Conclusions

Considering the acceptable rates for the data and the variation in the TFA variables (phase shift and gain), we recommend recording data for a minimum length of 7 min for TFA in patients in the neuro-ICU.
Literature
1.
go back to reference Claassen JA, Meel-van DAA, Simpson DM, et al. Transfer function analysis of dynamic cerebral autoregulation: a white paper from the international cerebral autoregulation research network. J Cereb Blood Flow Metab. 2016;36(4):665–80.CrossRef Claassen JA, Meel-van DAA, Simpson DM, et al. Transfer function analysis of dynamic cerebral autoregulation: a white paper from the international cerebral autoregulation research network. J Cereb Blood Flow Metab. 2016;36(4):665–80.CrossRef
2.
go back to reference Eames PJ, Potter JF, Panerai RB. Assessment of cerebral autoregulation from ectopic heartbeats. Clin Sci (Lond). 2005;109(1):109–15.CrossRef Eames PJ, Potter JF, Panerai RB. Assessment of cerebral autoregulation from ectopic heartbeats. Clin Sci (Lond). 2005;109(1):109–15.CrossRef
3.
go back to reference Chi NF, Hu HH, Chan L, et al. Impaired cerebral autoregulation is associated with poststroke cognitive impairment. Ann Clin Transl Neurol. 2020;7(7):1092–102.CrossRef Chi NF, Hu HH, Chan L, et al. Impaired cerebral autoregulation is associated with poststroke cognitive impairment. Ann Clin Transl Neurol. 2020;7(7):1092–102.CrossRef
4.
go back to reference Castro P, Serrador J, Rocha I, et al. Heart failure patients have enhanced cerebral autoregulation response in acute ischemic stroke. J Thromb Thrombolysis. 2020;50(3):753–61.CrossRef Castro P, Serrador J, Rocha I, et al. Heart failure patients have enhanced cerebral autoregulation response in acute ischemic stroke. J Thromb Thrombolysis. 2020;50(3):753–61.CrossRef
5.
go back to reference Miller EC, Dos SK, Marshall RS, et al. Joint time-frequency analysis of dynamic cerebral autoregulation using generalized harmonic wavelets. Physiol Meas. 2020;41(2):24002.CrossRef Miller EC, Dos SK, Marshall RS, et al. Joint time-frequency analysis of dynamic cerebral autoregulation using generalized harmonic wavelets. Physiol Meas. 2020;41(2):24002.CrossRef
6.
go back to reference Tian G, Ji Z, Huang K, et al. Dynamic cerebral autoregulation is an independent outcome predictor of acute ischemic stroke after endovascular therapy. Bmc Neurol. 2020;20(1):189.CrossRef Tian G, Ji Z, Huang K, et al. Dynamic cerebral autoregulation is an independent outcome predictor of acute ischemic stroke after endovascular therapy. Bmc Neurol. 2020;20(1):189.CrossRef
7.
go back to reference Nakagawa K, Serrador JM, Larose SL, et al. Autoregulation in the posterior circulation is altered by the metabolic state of the visual cortex. Stroke. 2009;40(6):2062–7.CrossRef Nakagawa K, Serrador JM, Larose SL, et al. Autoregulation in the posterior circulation is altered by the metabolic state of the visual cortex. Stroke. 2009;40(6):2062–7.CrossRef
8.
go back to reference Liu X, Czosnyka M, Donnelly J, et al. Comparison of frequency and time domain methods of assessment of cerebral autoregulation in traumatic brain injury. J Cereb Blood Flow Metab. 2015;35(2):248–56.CrossRef Liu X, Czosnyka M, Donnelly J, et al. Comparison of frequency and time domain methods of assessment of cerebral autoregulation in traumatic brain injury. J Cereb Blood Flow Metab. 2015;35(2):248–56.CrossRef
9.
go back to reference Zhang R, Zuckerman JH, Levine BD. Deterioration of cerebral autoregulation during orthostatic stress: insights from the frequency domain. J Appl Physiol. 1998;85(3):1113–22.CrossRef Zhang R, Zuckerman JH, Levine BD. Deterioration of cerebral autoregulation during orthostatic stress: insights from the frequency domain. J Appl Physiol. 1998;85(3):1113–22.CrossRef
10.
go back to reference Ding K, Tarumi T, Tomoto T, et al. Impaired cerebral blood flow regulation in chronic traumatic brain injury. Brain Res. 2020;1743:146924.CrossRef Ding K, Tarumi T, Tomoto T, et al. Impaired cerebral blood flow regulation in chronic traumatic brain injury. Brain Res. 2020;1743:146924.CrossRef
11.
go back to reference Otite F, Mink S, Tan CO, et al. Impaired cerebral autoregulation is associated with vasospasm and delayed cerebral ischemia in subarachnoid hemorrhage. Stroke. 2014;45(3):677–82.CrossRef Otite F, Mink S, Tan CO, et al. Impaired cerebral autoregulation is associated with vasospasm and delayed cerebral ischemia in subarachnoid hemorrhage. Stroke. 2014;45(3):677–82.CrossRef
12.
go back to reference Oeinck M, Neunhoeffer F, Buttler K, et al. Dynamic cerebral autoregulation in acute intracerebral hemorrhage. Stroke. 2013;44(10):2722–8.CrossRef Oeinck M, Neunhoeffer F, Buttler K, et al. Dynamic cerebral autoregulation in acute intracerebral hemorrhage. Stroke. 2013;44(10):2722–8.CrossRef
13.
go back to reference Tang SC, Huang SJ, Chiu MJ, et al. Impaired cerebral autoregulation in a case of severe acute encephalitis. J Formos Med Assoc. 2007;106(2 Suppl):S7-12.CrossRef Tang SC, Huang SJ, Chiu MJ, et al. Impaired cerebral autoregulation in a case of severe acute encephalitis. J Formos Med Assoc. 2007;106(2 Suppl):S7-12.CrossRef
14.
go back to reference Aries MJ, Elting JW, De Keyser J, et al. Cerebral autoregulation in stroke: a review of transcranial Doppler studies. Stroke. 2010;41(11):2697–704.CrossRef Aries MJ, Elting JW, De Keyser J, et al. Cerebral autoregulation in stroke: a review of transcranial Doppler studies. Stroke. 2010;41(11):2697–704.CrossRef
17.
go back to reference Petersen NH, Ortega-Gutierrez S, Reccius A, et al. Comparison of non-invasive and invasive arterial blood pressure measurement for assessment of dynamic cerebral autoregulation. Neurocrit Care. 2014;20(1):60–8.CrossRef Petersen NH, Ortega-Gutierrez S, Reccius A, et al. Comparison of non-invasive and invasive arterial blood pressure measurement for assessment of dynamic cerebral autoregulation. Neurocrit Care. 2014;20(1):60–8.CrossRef
18.
go back to reference Liu X, Czosnyka M, Donnelly J, et al. Assessment of cerebral autoregulation indices - a modelling perspective. Sci Rep. 2020;10(1):9600.CrossRef Liu X, Czosnyka M, Donnelly J, et al. Assessment of cerebral autoregulation indices - a modelling perspective. Sci Rep. 2020;10(1):9600.CrossRef
19.
go back to reference Tiecks FP, Lam AM, Aaslid R, et al. Comparison of static and dynamic cerebral autoregulation measurements. Stroke. 1995;26(6):1014–9.CrossRef Tiecks FP, Lam AM, Aaslid R, et al. Comparison of static and dynamic cerebral autoregulation measurements. Stroke. 1995;26(6):1014–9.CrossRef
20.
go back to reference Mahdi A, Nikolic D, Birch AA, et al. At what data length do cerebral autoregulation measures stabilise? Physiol Meas. 2017;38(7):1396–404.CrossRef Mahdi A, Nikolic D, Birch AA, et al. At what data length do cerebral autoregulation measures stabilise? Physiol Meas. 2017;38(7):1396–404.CrossRef
21.
go back to reference Chi NF, Wang CY, Chan L, et al. Comparing different recording lengths of dynamic cerebral autoregulation: 5 versus 10 minutes. Biomed Res Int. 2018;2018:7803426.CrossRef Chi NF, Wang CY, Chan L, et al. Comparing different recording lengths of dynamic cerebral autoregulation: 5 versus 10 minutes. Biomed Res Int. 2018;2018:7803426.CrossRef
22.
go back to reference Deegan BM, Serrador JM, Nakagawa K, et al. The effect of blood pressure calibrations and transcranial Doppler signal loss on transfer function estimates of cerebral autoregulation. Med Eng Phys. 2011;33(5):553–62.CrossRef Deegan BM, Serrador JM, Nakagawa K, et al. The effect of blood pressure calibrations and transcranial Doppler signal loss on transfer function estimates of cerebral autoregulation. Med Eng Phys. 2011;33(5):553–62.CrossRef
23.
go back to reference Mahdi A, Rutter EM, Payne SJ. Effects of non-physiological blood pressure artefacts on cerebral autoregulation. Med Eng Phys. 2017;47:218–21.CrossRef Mahdi A, Rutter EM, Payne SJ. Effects of non-physiological blood pressure artefacts on cerebral autoregulation. Med Eng Phys. 2017;47:218–21.CrossRef
24.
go back to reference R. KP. Outliers in process modeling and identification. IEEE T Contr Syst T. 2002; 10(1):55–63. R. KP. Outliers in process modeling and identification. IEEE T Contr Syst T. 2002; 10(1):55–63.
25.
go back to reference Panerai RB. Nonstationarity of dynamic cerebral autoregulation. Med Eng Phys. 2014;36(5):576–84.CrossRef Panerai RB. Nonstationarity of dynamic cerebral autoregulation. Med Eng Phys. 2014;36(5):576–84.CrossRef
26.
go back to reference Sanders ML, Elting J, Panerai RB, et al. Dynamic cerebral autoregulation reproducibility is affected by physiological variability. Front Physiol. 2019;10:865.CrossRef Sanders ML, Elting J, Panerai RB, et al. Dynamic cerebral autoregulation reproducibility is affected by physiological variability. Front Physiol. 2019;10:865.CrossRef
27.
go back to reference Liu J, Simpson DM, Allen R. High spontaneous fluctuation in arterial blood pressure improves the assessment of cerebral autoregulation. Physiol Meas. 2005;26(5):725–41.CrossRef Liu J, Simpson DM, Allen R. High spontaneous fluctuation in arterial blood pressure improves the assessment of cerebral autoregulation. Physiol Meas. 2005;26(5):725–41.CrossRef
Metadata
Title
The Effect of Data Length on the Assessment of Dynamic Cerebral Autoregulation with Transfer Function Analysis in Neurological ICU Patients
Authors
Weijun Zhang
Hongji Lu
Pandeng Zhang
Xiuyun Mo
Aihua Ou
Jia Liu
Jingxin Zhong
Publication date
01-02-2022
Publisher
Springer US
Published in
Neurocritical Care / Issue 1/2022
Print ISSN: 1541-6933
Electronic ISSN: 1556-0961
DOI
https://doi.org/10.1007/s12028-021-01301-5

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