| Literature DB >> 35087771 |
Rachel L Leon1, Eric B Ortigoza1, Noorjahan Ali1, Dimitrios Angelis1, Joshua S Wolovits1, Lina F Chalak1,2.
Abstract
Cerebrovascular pressure autoregulation promotes stable cerebral blood flow (CBF) across a range of arterial blood pressures. Cerebral autoregulation (CA) is a developmental process that reaches maturity around term gestation and can be monitored prenatally with both Doppler ultrasound and magnetic resonance imaging (MRI) techniques. Postnatally, there are key advantages and limitations to assessing CA with Doppler ultrasound, MRI, and near-infrared spectroscopy. Here we review these CBF monitoring techniques as well as their application to both fetal and neonatal populations at risk of perturbations in CBF. Specifically, we discuss CBF monitoring in fetuses with intrauterine growth restriction, anemia, congenital heart disease, neonates born preterm and those with hypoxic-ischemic encephalopathy. We conclude the review with insights into the future directions in this field with an emphasis on collaborative science and precision medicine approaches.Entities:
Keywords: cerebral autoregulation; cerebroplacental Doppler; congenital heart disease; fetal MRI; fetal brain; hypoxic ischemia encephalopathy (HIE); near-infrared spectroscopy; neonatal brain
Year: 2022 PMID: 35087771 PMCID: PMC8787287 DOI: 10.3389/fped.2021.748345
Source DB: PubMed Journal: Front Pediatr ISSN: 2296-2360 Impact factor: 3.418
Figure 1The key questions regarding cerebral autoregulation (CA) are unique to each neonatal pathophysiology. In the preterm neonate, due to immature mechanisms of cerebrovascular adaptation, there is a limited plateau of stable cerebral blood flow (CBF) and there is no strong evidence to guide the optimal lower limit of cerebral perfusion pressure (CPP) by gestational age. In the neonate with congenital heart disease (CHD), postnatal hypoxia and stabilization of CBF before, during, and after cardiac surgery are the prominent challenges. For neonates with hypoxic ischemic encephalopathy (HIE), avoidance of reperfusion injury plays a key role in limiting neurologic damage.
A brief description, indication for use, clinical significance, and limitations of key diagnostic studies in newborns at risk for cerebral injury.
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| Doppler ultrasound | MCA PI PI = (PSV–EDV)/TAV | Assess fetal brain blood flow | MCA PI normally has a high value | Low MCA PI in CHD could associate with placental abnormalities and/or cerebral vasodilation (CPR might be better to differentiate this) |
| Cerebral/placental ratio (CPR) = MCA PI/UmA PI | Assess fetal blood flow distribution. | Last trimester: High CPR, might relate with impaired placental perfusion and high risk for stillbirth | In healthy pregnancies, poor prediction of adverse outcomes. | |
| MRI | Fetal MRI | Assessment of architecture and volume of brain in CHD. | Delay of brain maturation for fetuses with severe CHD can associate with lower developmental scores. | Moving artifact, not quite standardized for prognostication. |
| Advanced MRI techniques Combined cardiac MRI with T2 mapping. | Assess tissue oxygen saturations. | Valuable in assessment of IUGR or Monitoring of infants with cardiac malformation | Requires timing of image acquisition with the cardiac cycle (difficult to acquire) | |
| Heart Rate | HR Variability | Autonomic nervous system control of CBF | Lack of HR variability indicative of hypoxia | Non-specific in the fetus |
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| NIRS | Cerebral tissue saturations, ScO2, (by NIRS) are assessed in comparison with MAP, and oxygen and CO2 blood content | Assess CBF and autoregulation | ScO2: Increases immediately after birth, stabilizes, and slightly decreases in the first 72 h and increases afterwards | Normal values are not standardized, with wide range (65-90%), which are difficult to interpret |
| Wavelets transform coherence analysis | Dynamic coherence assessment between CBF (cerebral NIRS) and brain electrical activity using aEEG over time using mathematical models (wavelet transform) to assess neurovascular coupling (NVC). | In the normal brain at term, there is temporal and spatial coupling between neuronal activation and blood flow (i.e., NVC) | Not widely available, experimental. | |
| Hemoglobin volume phase index | Assesses total Hg values (by NIRS) correlated with BP data. | Correlates with pressure reactivity index (typically requires invasive cerebral monitor), a modality validated in children after TBI | Although has some prognostic validity, remains experimental | |
| Doppler ultrasound | RI | Assess degree of vasodilation of cerebral arteries | Normative values in healthy term infants established | Highly affected by other hemodynamic influences such as presence of PDA, other cardiac shunts, hypotension, etc |
| SVC Flow | Indirectly assess CBF by measuring cerebral venous return which comprises 70–80% of SVC flow | Primarily used in preterm populations | Correlates weakly with cerebral NIRS complicating interpretation | |
| PET | Xenon-133 clearance | CBF assessment | Detailed data on CBF and fluctuations can be provided | Experimental, not widely available. Invasive |
Of note several of these studies are experimental and not widely used in clinical practices. aEEG, amplitude-integrated electro encephalogram; BP, blood pressure; CBF, cerebral blood flow; EDV, end-diastolic velocity; HIE, hypoxic ischemic encephalopathy; MAP, Mean arterial pressure; MCA, middle cerebral artery; MRI, magnetic resonance imaging; NIRS, Near infrared spectroscopy; PDA, patent ductus arteriosus; PI, pulsatility index; PSV, peak systolic velocity; RI, resistive index; ScO.
Figure 2Wavelet transform coherence analysis can be used to characterize cross-correlations between mean arterial pressure and ScO2 as a function of a wide range of both time and frequencies. The coherence depicted by color mapping represents the correlations across the time-frequency axis and can be translated into percent coherence from 0 (least coherent, blue) to 1 (most coherent, red). In-phase coherence indicates impaired cerebral autoregulation.