Abstract

Background and Purpose: Dynamic cerebral autoregulation (dCA) is probably impaired in the acute and even subacute phases after acute ischemic stroke (AIS); however, the relationship between relevant clinical factors and dCA after AIS has not been investigated. The identification of possible determinants may therefore provide potential therapeutic targets to improve dCA in AIS.Methods: This study enrolled 67 consecutive patients diagnosed with AIS within 3 days from symptom onset. Serial measurements were performed 1–3 days (measurement 1) and 7–10 days (measurement 2) after the onset. Middle cerebral artery blood flow velocities and simultaneous arterial blood pressure (ABP) were recorded continuously with transcranial Doppler combined with a servo-controlled finger plethysmograph. Transfer function analysis was used to derive dCA parameters, phase difference (PD), and coherence in low-frequency range (0.06–0.12 Hz). Univariate and multivariate linear regression analyses were conducted to determine the relationship between clinical factors and PD within the two time points of measurements. Multivariate logistic regression was performed to reveal the relationship between PD and clinical outcomes.Results: Bilateral PD was significantly lower (indicating impaired dCA) in AIS patients, both in measurement 1 and measurement 2 when compared with those of healthy controls (all P < 0.001). After controlling for relevant clinical factors, in measurement 1, age (β = −0.29, P = 0.01), recombinant tissue plasminogen activator (rt-PA) intravenous thrombolysis (β = 0.25, P = 0.034), subtype of large-artery atherosclerosis (LAA) (β = −0.31, P = 0.007), and uric acid level (β = −0.32, P = 0.009) were significant independent predictors of ipsilateral PD. In measurement 2, subtype of LAA (β = −0.28, P = 0.049) and uric acid level (β = −0.43, P = 0.005) were still significant predictive values for ipsilateral PD. After adjusting for age and National Institutes of Health Stroke Scale at admission, ipsilateral PD >35.37° in measurement 2 was independent predictor of good clinical outcomes (adjusted OR = 6.97, 95% CI: 1.27–38.14, P = 0.03).Conclusion: DCA was sustained to be bilaterally impaired in the acute and even subacute phase after AIS. Patients who receiving rt-PA thrombolysis tended to have a better dCA in the acute phase. Increasing age, subtype of LAA, and higher uric acid level had prognostic value for disturbed autoregulation. A relatively preserved dCA may predict good clinical outcomes.

Highlights

  • Cerebral autoregulation (CA) was initially considered as an intrinsic protective mechanism of the brain, which ensured relatively constant cerebral blood flow (CBF) despite fluctuations in arterial blood pressure (ABP) or cerebral perfusion pressure [1]

  • Among all 67 enrolled acute ischemic stroke (AIS) patients, 110 segments of measurement were successfully performed, and derived indices of Dynamic cerebral autoregulation (dCA) were available for further statistical analysis

  • Twelve scheduled measurements were unavailable for the patients who had been discharged, and 12 sets of derived indices were not available for further statistical analysis because of frequent signal artifacts (N = 6) and low coherence value of transfer function (N = 6)

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Summary

Introduction

Cerebral autoregulation (CA) was initially considered as an intrinsic protective mechanism of the brain, which ensured relatively constant cerebral blood flow (CBF) despite fluctuations in arterial blood pressure (ABP) or cerebral perfusion pressure [1]. Dynamic cerebral autoregulation (dCA) measurement, with non-invasive real-time continuous recording of CBF and ABP, usually performed by transcranial Doppler (TCD) in combination with continuous blood pressure measurement, provided a completely new notion of CA [6]. This method could allow more access to the dynamic characteristics of CA with minimized interference and stimulus; it is prevalent in studies on cerebral vascular diseases and is expected to be widely applied in clinical practice [7]. The identification of possible determinants may provide potential therapeutic targets to improve dCA in AIS

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