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. 2023 Jun 29;40(1):147–158. doi: 10.1007/s12028-023-01779-1

Neuromonitoring in Children with Traumatic Brain Injury

Shruti Agrawal 1,2,, Francisco Abecasis 3, Ibrahim Jalloh 2,4
PMCID: PMC10861621  PMID: 37386341

Abstract

Traumatic brain injury remains a major cause of mortality and morbidity in children across the world. Current management based on international guidelines focuses on a fixed therapeutic target of less than 20 mm Hg for managing intracranial pressure and 40–50 mm Hg for cerebral perfusion pressure across the pediatric age group. To improve outcome from this complex disease, it is essential to understand the pathophysiological mechanisms responsible for disease evolution by using different monitoring tools. In this narrative review, we discuss the neuromonitoring tools available for use to help guide management of severe traumatic brain injury in children and some of the techniques that can in future help with individualizing treatment targets based on advanced cerebral physiology monitoring.

Keywords: Pediatric traumatic brain injury, Intracranial pressure, Cerebral autoregulation, Transcranial Doppler, Neuromonitoring, Brain chemistry, Cerebral oxygenation

Introduction

Traumatic brain injury (TBI) remains one of the main causes of trauma-related mortality and morbidity in children worldwide [1]. Children with severe TBI (sTBI) are managed in the pediatric intensive care unit (PICU) with a combination of therapeutic interventions aimed at preserving neuronal structure and/or function. These are aimed at reducing the progression of primary brain injury as well as occurrence and impact of secondary insults to improve neurodevelopmental outcomes [2]. Various monitoring tools are required to define ongoing changes in systemic as well as cerebral physiology, ideally in real time, which are used as therapeutic targets for neuroprotection. Although we have robust tools for monitoring systemic physiology (such as invasive arterial pressure, end tidal carbon dioxide, oxygen saturations, cardiac output etc.), monitoring the brain is fraught with challenges [3]. Multiple complex pathophysiological cascades (excitotoxicity, disruption of blood–brain barrier, neuroinflammation, cytotoxic and vasogenic cerebral edema, ischemia, energy failure, and neuronal cell death [46]) are triggered by the initial brain injury, and no single tool is sufficient to assess the spectrum of these pathophysiological changes. It is imperative to interpret information available from these multiple monitoring tools simultaneously for effective clinical use, and there is potential to individualizing therapy titrated to evolving disease process in individual patients.

The mainstay of managing TBI in the PICU is based on intracranial pressure (ICP) monitoring, which also helps in deriving cerebral perfusion pressure (CPP) as per the established ICP- and CPP-directed therapies [2]. The evolution of advanced neuromonitoring tools can give greater insight into cerebral oxygenation, perfusion, electrophysiology, and metabolism [7]. There have also been advances in neuroimaging, which is beyond the scope of this review. We are going to focus on neuromonitoring in the acute phase of TBI, in which computed tomography imaging remains the cornerstone as a quick imaging tool to define intracranial pathology.

In this review, we elaborate on different neuromonitoring tools available and discuss their physiological principles and practical application as per available evidence for children with TBI in the PICU (Table 1). We also propose a treatment algorithm based on some of the advanced methods and discuss potential future targets.

Table 1.

Neuromonitoring modalities

Monitoring tool Monitored physiology Advantages Limitations
Automated pupillometry Brainstem reflex (pupil size and reaction)

Noninvasive, objective measurements

NPi can be useful in predicting rise in ICP and response to osmotic therapy

Further large-scale studies needed before routine use of NPi in clinical practice
ONSD ICP Noninvasive, point of care, predict raised ICP

Operator dependent

Age-related heterogeneity in ONSD and optic nerve anatomy with variable results in pediatric studies

Near-Infrared spectroscopy Regional cerebral oxygenation

Noninvasive

CA indices

Poor correlation in presence of hematoma/bleeding

Limited spatial resolution

Interference from extracranial tissue

Transcranial Doppler Cerebral blood flow mean velocity

Noninvasive

CA indices and vasospasm

Noninvasive ICP and CPP

Operator dependent

Intermittent

cEEG Seizures, Background Electrical activity

Noninvasive, continuous

Quantitative and qualitative assessment

Can help with prognosis, depth of encephalopathy

Resource intensive

Sedation can affect interpretation

IP ICP ICP Continuous, easy to insert, lower complications

Invasive

Can only be zeroed before insertion, and there is drift over 5–7 days, making measurements inaccurate

Probe placement can affect ICP reading in focal lesions

Intraventricular ICP/EVD ICP

Global value, CSF diversion if required

In vivo calibration

Invasive

Technically more difficult to insert than IP catheters (especially with effaced ventricles)

Increased infection/bleeding as compared to IP catheters

Intermittent readings

PbtO2 Regional brain tissue oxygen tension

Direct measurements of PbtO2

Continuous, real time

Can help prevent ischemia with hyperventilation

Invasive

Regional values and probe position affect values

No normative data

Cerebral microdialysis Cerebral metabolites: glucose, lactate/pyruvate

Direct measurement of extracellular brain fluid

Assessment of delivery and use, metabolic stress and energy failure

Invasive, intermittent, resource intense

Focal measurements

No data in pediatric TBI outside research setting

No normative data

Intracranial EEG

Seizures, background electrical activity

Spreading depolarization

Continuous, better resolution than surface EEG, can detect spreading depolarizations Invasive, limited pediatric data
Laser Doppler flowmetry CBF mean velocity Microcirculatory blood flow changes Invasive, limited pediatric data
Thermal diffusion flowmetry CBF Continuous, direct measurement of CBF Invasive, limited pediatric data

CA cerebral autoregulation, CBF cerebral blood flow, cEEG continuous electroencephalography, CPP cerebral perfusion pressure, CSF cerebro-spinal fluid , EEG, electroencephalography, EVD external ventricular drain, ICP intracranial pressure, IP intraparenchymal, NPi neurological pupil index, ONSD optic nerve sheath diameter, PbtO2 brain tissue oxygenation, TBI traumatic brain injury

Basic Neuromonitoring

Clinical Neurological Examination

The initial clinical neurological examination (CNE) after trauma is crucial in defining the severity of brain injury. It forms the basis of TBI classification and helps in predicting outcome. The most helpful components of the CNE in TBI are level of consciousness, focal deficits, and motor and pupillary response [8, 9]. Although crude, the presedation and postresuscitation Glasgow Coma Scale is used internationally to assess the severity of TBI [2]. Specifically, the motor score of ≤ 3 in the Glasgow Coma Scale is highly predictive of the outcome [10, 11]. Pupillary reactivity and size are important brainstem reflexes and are markers of ICP (except in patients with direct orbital trauma). Pupillary reflexes are relatively well preserved, with most sedative/analgesic drugs used in the PICU (except thiopentone) [12]. Hence, serial pupillary assessment is used in all children with TBI who are sedated/neurologically depressed or admitted for observation for mild to moderate TBI. Anisocoria is suggestive of rising ICP and impending uncal herniation, which prompts urgent ICP-lowering management and further diagnostic tests, such as neuroimaging, to identify the cause of rising ICP to guide further management [2]. Bilateral fixed dilated pupils, which do not return to normal with treatment, are associated with very high mortality. An infrared automatic pupillometer gives more accurate results than a manual clinical examination with detailed information about pupillary reaction, percentage change in pupil size, speed of reaction, and neurologic pupil index and holds promise in predicting neurological deterioration, rise in ICP, response to treatment, and prognosis [13, 14].

Ongoing serial CNE can give important information about new or evolving deficits. It is however difficult in children with depressed consciousness either due to TBI or sedation as a part of treatment to decrease ICP/cerebral metabolic demand. It is debatable whether a sedation hold at regular intervals is beneficial in patients with TBI because it may increase ICP, derange cerebral perfusion, and worsen metabolic stress [15]. There are recommendations for daily sedation holds for CNE in adult patients with TBI in specific situations in which it should not be used [16]. There is no similar consensus for pediatric TBI, which in part could be related to more frequent use of analgosedation drugs with higher context-sensitive half-lives (e.g., midazolam and morphine infusions rather than propofol and remifentanil). Another important consideration for serial CNE in children is the lack of validated objective scoring systems, which would ideally incorporate the child’s developmental stage, underlying neurodevelopmental problems and the level of sedation. Several new scores have been developed with these themes in mind for use in sedated patients, and they also take the patient’s developmental stage into account. These show promising early results while awaiting validation in larger studies [17, 18].

Intracranial Pressure

Intracranial pressure is a sum total of pressure exerted by the brain, blood, and CSF (cerebro-spinal fluid) volumes. Any increase in volume of any of these three compartments is compensated by a decrease or shift in one or both of the other two compartments. However, inside a relatively fixed skull, there is a relatively small compensatory reserve to accommodate for changes in volume beyond which ICP can rise sharply. The rising ICP leads to compression of the brain parenchyma and ischemia due to compromised blood supply; if left untreated, rising ICP eventually leads to cerebral herniation and death [19]. In TBI, multiple mechanisms contribute to high ICP: bleeding as a direct consequence of trauma (hematoma, contusions), acute hydrocephalous, and cytotoxic and vasogenic edema. Hence, monitoring and managing ICP are considered the cornerstones of management of TBI.

Continuous ICP can be monitored by different invasive transducer placements, the most common being intraparenchymal probes and intraventricular catheters. Intraparenchymal probes are easier to insert but cannot be rezeroed once inserted. Intraventricular catheters, commonly known as external ventricular drains (EVDs), give a global ICP reading and offer the advantage of therapeutic CSF diversion if required but can be technically difficult to insert, especially with effaced ventricles, and carry a higher risk of infection and hemorrhage. They also need to be closed to give an accurate and continuous ICP reading unless there is a transducer probe on the outside of the ventricular catheter [20]. Because of the dual advantage of EVD (global ICP reading and CSF diversion if required), EVD is considered a gold standard for monitoring and managing ICP. This has been challenged by two large comparative effectiveness studies recently (one each in children and adults) that failed to show benefit of early EVD insertion and CSF diversion over intraparenchymal ICP measurements, with some suggestion of higher complication rates and worse outcomes with EVD [2022]. This will help inform the next iteration of TBI management guidelines.

Several noninvasive ICP measurement techniques have been developed. However, they only give intermittent ICP values and require validation in larger studies before being used in routine clinical practice. The most common among these is the optic nerve sheath diameter, as measured by ultrasonography and derived values from Transcranial Doppler (TCD) recordings [2325].

Despite sufficient evidence confirming an association of ICP > 20 mm Hg with poor outcome from TBI [2631], the evidence to support benefit of ICP-guided management is not robust in either children or adults [29, 3235]. There is further uncertainty whether the treatment should aim at reducing ICP or manipulating associated reduction in CPP to avoid cerebral ischemia. However, monitoring ICP certainly informs timing of further neuroimaging and/or neurophysiological monitoring to identify the cause, as well as treatment decisions of rising ICP. After considering the available literature, the international guidelines for managing sTBI in children make a level III recommendation for continuous invasive ICP monitoring to allow timely delivery and titration of treatment to reduce the secondary brain injury [2].

There is emerging evidence to suggest that the currently set ICP treatment threshold of 20 mm Hg may be too high, especially in younger age groups, and should be lower in an age-dependent manner, possibly individualized depending on the intracranial compliance [2]. The outcomes are not only related to a single ICP cutoff value of 20 mm Hg but also related to the dose and duration of ICP spikes in relation to the intracranial compliance [36], as well as the response to treatment [28]. Whether we can improve neurodevelopmental outcomes by maneuvering these insults is yet to be proven. There is also ongoing work to understand if intracranial compliance would affect the tolerance of a certain ICP value [37], which we will discuss further in the Advanced neuromonitoring section.

Cerebral Perfusion Pressure

Intracranial pressure monitoring also facilitates CPP calculation in real time. Because CBF (cerebral blood flow) is difficult to measure clinically, mean arterial pressure (MAP) or CPP (CPP = MAP − ICP) is used as a surrogate. Maintaining adequate CPP is one of the two most important physiological targets in managing children with sTBI. The target CPP can be achieved by a decrease in ICP, increase in blood pressure, or both. The intention is to avoid hypoperfusion, which could lead to ischemic damage, while avoiding hyperperfusion, which could worsen cerebral edema and also cause side effects from maintaining very high blood pressure [38]. The international guidelines suggest targeting CPP above 40 mm Hg regardless of age based on the studies showing more episodes of CPP below 40 mm Hg in nonsurvivors [27, 39, 40]. The upper limit of 50 mm Hg is set with an acknowledgment that children at either end of the age range may need lower or higher CPP [2, 40, 41]. There is some suggestion that maintaining age-appropriate CPP may lead to improved outcomes with CPP cut points increasing with age (< 2 years = 45 mm Hg, 2 to < 8 years = 57 mm Hg, ≥ 8 years = 68 mm Hg) [42].

Advanced Neuromonitoring

Cerebral Autoregulation and Intracranial Compliance

The high nutrient and oxygen demands of the brain require steady CBF. In health, this is maintained by a complex interplay of mechanisms defined as cerebral autoregulation (CA), which maintains a steady cerebral perfusion irrespective of the changes in systemic blood pressure or CPP. Impaired CA is common after TBI, and this makes the brain more vulnerable to secondary insults. The fixed age-related CPP targets as advised by the current guidelines may not account for impaired CA and predispose the brain to cerebral ischemia or edema [43]. Fixed CPP targets are also inadequate across the entire developmental trajectory from birth till early adulthood because their limited autoregulatory capacity further predisposes them to overperfusion or underperfusion [44]. Improved understanding of impaired CA in an injured brain, particularly in younger age groups, has instigated research on individualizing treatment targets for management of cerebral perfusion [45].

The clinical measurement of CA is based on the concept that within the patient’s autoregulatory range, the intracranial blood vessel diameter will change with changes in systemic blood pressure to ensure constant or stable CBF. This means that with intact CA, the fluctuations in systemic blood pressure will not be reflected in the CBF. Clinically, CBF is difficult to measure, and hence a surrogate of CBF or cerebral blood volume (such as ICP, CPP, regional oximetry, cerebral flow velocities measured by TCD, etc.) is used [46]. Various static and dynamic CA indices have been developed by studying these changes in the intracranial compartment against either spontaneous or induced changes in systemic blood pressure [47]. Dynamic indices offer the advantage of continuous real-time measurement and do not require blood pressure challenges, such as static indices, which could be potentially harmful in an unstable patient.

Because all children with sTBI in the PICU have continuous ICP and ABP (arterial blood pressure) monitoring, these can be used to determine the dynamic state of CA. The most widely studied dynamic CA index is the cerebrovascular pressure reactivity index (PRx), which is a moving correlation coefficient between spontaneous slow wave changes in MAP and ICP over a 5-min window; this is updated every minute to give a continuous PRx reflecting the state of CA in real time [48]. This index can range from − 1 to + 1; negative or zero values indicate inverse relationship between ABP and ICP waveforms, signifying intact CA (associated with better clinical outcome), whereas positive values indicate transmission of changes in ABP waveforms to ICP waveforms, signifying disturbed CA (associated with poorer outcome) [49]. The PRx has shown an association with outcome in both adult and pediatric TBI [4951]. Impaired CA does not directly affect the outcome, it is likely a reflection of increased vulnerability of an injured brain to secondary insults with an impaired CA. Although the PRx cannot be manipulated clinically, plotting measured CPP against the PRx yields a U-shaped curve, which can determine the lower and upper limits of autoregulation and CPP at which the vasculature is most reactive continuously in real time [52] (Fig. 1). This concept gives optimal CPP (CPPopt) for an individual patient at a particular point in time, which could be the optimum perfusion to the brain [53]. Interestingly, CPPopt has shown significant variation from the guidelines recommendation, and CPPopt can be different between patients and change over time in an individual patient. In addition, the difference between recommended CPP and CPPopt can be associated with worsened clinical outcome [50, 52]. For these reasons, indices of CA have been recommended to guide management of severe TBI in adults [54], but so far there is limited pediatric evidence to support its routine use in children.

Fig. 1.

Fig. 1

CPPopt calculation in real time in a child with sTBI. Real-time in-vivo calculation of CPPopt in a patient recruited to STARSHIP in an 8-h recording window. Top panel displays ABP, followed by ICP, and then CPP (CPPopt in the light gray line and lower limit of autoregulation in dark gray line). The bottom panel shows calculation of CPPopt. CPPopt is continuously calculated using a 5-min median CPP time trend alongside PRx. These PRx values are divided and averaged into CPP bins spanning 5 mm Hg. An automatic curve fitting method is applied to the binned data to determine the CPP value with the lowest associated PRx value. (Author’s own work). ICP intracranial pressure, CPP cerebral perfusion pressure, ABP arterial blood pressure, CPPopt optimum cerebral perfusion pressure, PRx pressure reactivity index, sTBI severe traumatic brain injury, STARSHIP Studying Trends of Auto-Regulation in Severe Head Injury in Paediatrics

A recent phase II study, COGiTATE (CPPopt Guided Therapy: Assessment of Target Effectiveness), confirms feasibility and safety of CPPopt-guided therapy in adult patients with TBI [54]. There are prospective multicenter studies currently underway to understand the relationship of CA-based indices in children with sTBI [5557]; the PRx and CPPopt are being tested in children with sTBI in a prospective multicenter observational study, STARSHIP (Studying Trends of Auto-Regulation in Severe Head Injury in Paediatrics) in the United Kingdom, which will inform phase 2 and 3 studies in children [55]. The improved methods and understanding hold promise for future improvements in TBI management based on the state of intracranial physiology. This could be even more relevant in the pediatric population by potentially addressing the issue with fixed CPP targets across the developmental trajectory.

The model-based indices have evolved further by using the time domain and phase shift domain of the physiological waveforms. The newly described wavelet PRx is derived by phase shift between the two waveforms (ICP and MAP) and has shown promise in continuous calculation of CPPopt, with a better U-shaped fitting curve for establishing the CPPopt as well as upper and lower limits of autoregulation [58]. These indices have been used in a pediatric TBI cohort in a recent study with promising results [59]. There is evidence showing outcome association with ICP doses above the thresholds derived by graphing the PRx against ICP and likely reflects poor pressure tolerance in the state of impaired CA [60, 61]. The concepts and mathematical models that were thus developed have also been used to understand intracranial compliance RAP (correlation coefficient R between ICP Amplitude and mean ICP); intracranial compensatory reserve, RAC (correlation coefficient R between ICP Amplitude and CPP) [62]; and PAx (Pulse Amplitude Index which represents the relationship of ICP pulse amplitude with MAP) [63]. These studies hold promise for future use of individualized targets for ICP based on the state of intracranial compliance.

Noninvasive Monitoring Methods

Neurophysiology

Seizures are common in children after TBI [64]. They can be difficult to detect clinically because patients are deeply sedated as part of neuroprotective strategy. These subclinical seizures can increase ICP, worsen cerebral metabolic demands, and cause nonconvulsive status epilepticus. Hence, diagnosing and treating seizures are a part of treatment strategy for neuroprotection [2, 65]. Electroencephalography (EEG) is used to detect subclinical seizures as well as help with neuroprognostication from the background EEG patterns [66]. In monitored patients, as many as 30–40% patients with sTBI have been found to have subclinical seizures [67, 68]. EEG monitoring is also essential when barbiturate coma is used for refractory intracranial hypertension (ICH) to achieve burst suppression for maximum clinical benefit with the least side effects by using minimal dose. Continuous EEG is desirable but is resource intense and requires careful interpretation from experienced neurophysiologists [69]. Despite being limited to a few centers, accumulating experience in using continuous EEG has improved our understanding of degree of neurological dysfunction and background EEG patterns in brain injured children. In particular, background continuity and symmetry has been found useful in predicting outcome, with diffuse slowing, nonreactive pattern, severe burst suppression, and lack of sleep architecture associated with prolonged hospital stay, prolonged recovery, and poor outcomes [66, 7072]. Easy accessibility and interpretation of amplitude-integrated EEG means it is increasingly used for monitoring children with sTBI. Additional information from quantitative EEG, such as power spectra within frequency bands, complexity measures, and suppression percentages, is useful to predict outcomes [73, 74]. Intracranial EEG can further improve seizure detection in comparison to surface EEG, although the experience in children is limited. This can also help detect cortical spreading depolarizations, which may not be detectable on surface EEG [75].

Evoked potentials can give useful information about brainstem function. Auditory and visual evoked potentials have been used to study the impact of mild TBI. Somatosensory evoked potentials have been used in predicting consciousness recovery and progression to a vegetative or minimal conscious state in sTBI, with normal somatosensory evoked potentials highly predictive of regaining consciousness [76, 77].

Cerebral Oximetry

Near-infrared spectroscopy is a noninvasive technique of cerebral oximetry. It provides a global assessment of hemoglobin oxygenation in all vascular compartments (arterial, venous, and capillary) and can help assess cerebral hemodynamic and metabolic parameters [78]. The absolute cerebral oxygenation values have not proven useful from several studies in TBI, with disappointing results [7983]. However, the trends and variation over time can aid clinicians in monitoring cerebral oxygen saturation and indirectly cerebral perfusion. It has also been proposed as a method to measure CA using the cerebral oximetry index, especially in situations in which invasive monitoring is not used [84, 85]. It has been studied in small pediatric TBI studies with promising results [41, 8587], although larger pediatric studies are required before its clinical use.

Transcranial Doppler Ultrasonography

Transcranial Doppler ultrasonography is used to calculate flow velocities in the cerebral arteries (cerebral blood flow velocity [CBFV]). Mainly the flow velocities of the middle cerebral and anterior cerebral arteries are measured to give an estimate of CBF [88]. It is used to calculate the pulsatility index (PI), which is the difference between systolic and diastolic middle cerebral artery flow velocity divided by mean flow velocity [88]. PI has been used to estimate ICP and CPP non invasively [8891]. It is important to consider ABP and PaCO2 while calculating PI because they can give false negatives in cases of arterial hypertension and false positives in cases of hypotension or hyperventilation, respectively [91]. There is good accuracy of ICP estimated noninvasively by TCD ultrasonography in adult patients with TBI with a PI > 1.4 [92]. The results in children are however conflicting [90, 93, 94]. There is some suggestion that PI describes CPP more accurately than ICP in children, and several studies have tested the feasibility of TCD ultrasonography to estimate CPP [89, 9395]. Indices of CA can also be calculated by using blood pressure and CBFV changes (autoregulation index) or signals of ABP and CBFV (Mx- Mean flow index) [96, 97].

Being a noninvasive technique, it can be extremely useful at admission to help determine the level of care and clinical priorities in children with TBI [98]. Insonating different arterial territories, it can help detect regional variations in cerebral hemodynamics and vasospasm.

Invasive Monitoring (Brain Tissue Oxygenation and Cerebral Microdialysis)

Partial pressure of brain tissue oxygen (PbtO2) and cerebral microdialysis (CMD) provide real-time data on the cerebrovascular and metabolic status of brain tissue, respectively. These are increasingly recognized as the main pathophysiological processes, in addition to impaired perfusion from ICH, that cause secondary injury, with metabolic energy failure at the cellular level being the common end point for many of these processes. Directly monitoring tissue oxygenation and energy metabolism can potentially help individualize care rather than ICP monitoring alone. Both PbtO2 and CMD offer good temporal resolution but lack spatial resolution. The location of the monitors and their proximity to traumatic lesions need to be considered when interpreting the data. Although true normative values for PbtO2 and CMD are not known, increasing data on pathological thresholds has allowed development of treatment algorithms. Trends in the data over time are more informative than individual thresholds.

Brain Tissue Oxygenation

PbtO2 microsensors (such Integra Licox, Raumedic Neurovent) contain a miniature electrode that produces a small current proportional to the concentration of oxygen. Although regional, it provides valuable information about brain tissue hypoxia and mitochondrial failure, which can be used as a treatment target. It is also invaluable to prevent cerebral ischemia if hyperventilation is used as an ICP-lowering treatment [2].

In children, two cohorts provide most of the published data on PbtO2 monitoring. Stippler et al. did not find an independent association between tissue hypoxia and outcome in 46 children, but a PbtO2 of 30 mm Hg was associated with the highest sensitivity for favorable outcome at 6 months [26]. Interestingly, some patients with high ICP and reduced CPP (indicating compromised perfusion) had high rather than low PbtO2. Figaji et al. in 52 children demonstrated a significant relationship between PbtO2 and unfavorable outcome in a multivariate model (< 5 mm Hg for > 1 h or < 10 mm Hg for > 2 h) [40]. The latter study was confounded by the inclusion of PbtO2-targeted interventions in the treatment protocol. A later study of 81 children (including the 52 in the earlier study) from the same group found a nonlinear relationship between ICP and PbtO2 [99]. So the pediatric studies suggest a complex relationship and an association of PbtO2 with outcome [100]. This is reflected in the 2019 guidelines for the management of pediatric TBI, which support the use of PbtO2 in children (level III evidence) with a target of PbtO2 > 10 mm Hg (as suggested from the study by Figaji et al.) [2, 40]. The treatment threshold may need to be higher because PbtO2 values below 20 mm Hg are generally considered to indicate ischemia, reflected by published TBI treatment protocols that include PbtO2 (e.g., BOOST studies-Brain Oxygenation Optimisation in Severe Traumatic brain injury [101, 102]) or as measured by positron emission tomography imaging (ischemic threshold of 15 mm Hg or lower) [103].

Cerebral Microdialysis

Through continuous perfusion via a semipermeable membrane, the returning microdialysate from the CMD catheter can be analyzed at the bedside to measure several metabolites to reflect extracellular brain chemistry (glucose, lactate, pyruvate, glutamate, and glycerol). Glucose and the lactate/pyruvate (LP) ratio are most relevant and clinically useful. A low brain glucose level (neuroglycopenia) can be caused by a failure of perfusion (ischemia) or a low systemic (plasma) glucose level. The LP ratio is a marker of the cellular redox status, with an increased LP ratio reflecting either failure of oxygen delivery (ischemia) or failure of oxygen use (mitochondrial dysfunction). An LP ratio of more than 25 and a low brain glucose level of less than 0.8 mmol/L are considered pathological thresholds associated with unfavorable outcomes and necessitate intervention [104].

CMD catheters are implanted alongside ICP and PbtO2 sensors, often via a “bolt” with two to four lumens, and give hourly measurements. Recent developments can continuously analyze microdialysates using biosensors providing real-time data.

In large cohorts of adult patients, CMD, and in particular the LP ratio, has been robustly shown to independently predict outcome [105, 106]. Published CMD data in children are lacking, restricted to proof-of-concept and studies of specific metabolites of scientific interest rather than relevant to clinical management [107, 108]. The lower uptake of CMD compared to PbtO2 for clinical monitoring reflects, in part, the complexity of the pathophysiology that underlies a raised LP ratio and the lack of interventions that specifically target a raised LP ratio not caused by ischemia. A raised LP ratio in the context of adequate substrate delivery is termed mitochondrial dysfunction, an important component of metabolic failure in TBI. Interventions that target mitochondrial dysfunction are in development, necessitating more sophisticated protocols that incorporate CMD. An example of a treatment protocol that includes LP-ratio-directed therapy is provided in Fig. 2 [109].

Fig. 2.

Fig. 2

Clinical monitoring schema and protocol. Three intraparenchymal monitors are placed in the sedated, ventilated traumatic brain injury patient, via a cranial access device into the right frontal lobe. a Intracranial pressure is measured using a piezoelectric strain gauge (Codman). b Brain tissue oxygen is measured using a modified Clark electrode (Licox). c The cerebral microdialysis catheter (M Dialysis AB) consists of a double lumen catheter with a semipermeable membrane. A microfluidic pump perfuses the catheter with artificial brain extracellular fluid at 0.3 mL/h. The fluid recovered is collected in a microvial and assayed for lactate, pyruvate, glucose, and glycerol (bedside ISCUSflex analyzer). d Signals from intracranial pressure and brain tissue oxygen monitors are streamed in real time to a bedside computer with a multimodality data acquisition and processing software (ICM+) for analysis. e Study protocol for patients with raised LPR. Patients with cerebral LPR > 25 were treated in a staged fashion with the interventions within this flowchart. The neurometabolic state was classified in any given hourly time epoch, depending on the abnormalities defined above. CPP cerebral perfusion pressure; FiO2 fraction of inspired oxygen; ICP intracranial pressure; LPR lactate/pyruvate ratio; NMS neurometabolic state; PbtO2 brain tissue oxygen tension; PRx pressure reactivity index. Adapted from Khellaf et al. [110] under Creative Commons License (CC BY), published by SAGE, copyright the authors.

Future Directions

As discussed in this article, there are multiple monitoring techniques being used in clinical practice that give information about different pathophysiological pathways. A majority of these have limited value in isolation; it is important to interpret each of these in relation to other parameters being studied. As a baseline, children with sTBI have ICP monitoring, and we use an interlinked ICP and CPP targeted treatment algorithm as per the international guidelines [2]. There is an agreement that trends and waveforms give more useful information than the specific number, although bedside interpretation of the waveforms and trends can be difficult. New continuous monitoring software (ICM+, Moberg) offer the advantage of giving time trends, and the built-in software using machine learning can study different physiological waveforms in relation to one another. These have been developed to understand the state of CA and intracranial compliance as discussed in this article. They can offer valuable information about changing physiology in real time with an immense potential to individualize treatment targets for individual patients at specific points in time. Early results of use of these individualized targets are encouraging and will hopefully be incorporated in treatment algorithms in the near future to improve neurodevelopmental outcomes. The addition of other monitoring tools, such as PbtO2, TCD ultrasonography, EEG, CMD etc., requires complex treatment algorithms to help manage patients at the bedside. For example, if the ICP is high, additional information from TCD ultrasonography or PbtO2 can inform whether there is cerebral hyperemia (i.e., worsening cerebral swelling) or associated relative cerebral hypoperfusion, which will have a very different treatment strategy from the first scenario. This can also guide ICP lowering with hyperventilation while avoiding cerebral ischemia. One such treatment algorithm given by Appavu et al. elegantly incorporates additional information available from PbtO2, TCD ultrasonography/near-infrared spectroscopy, and EEG to manage raised ICP [110].

The evolution of both model-based indices and advanced monitoring techniques means there is a huge amount of data available at the bedside, some of it in real time, giving useful physiological information. Using this large amount of information for clinical decision-making still needs to be developed with the help of machine learning tools and then tested in clinical settings to prove benefit before mainstream clinical application.

A majority of recommendations for monitoring and management thresholds in the current international TBI guidelines from 2019 in children are level III because of the lack of high-quality studies [2]. As we have highlighted with individual neuromonitoring modalities, pediatric-specific evidence, especially through randomized control trials, is nearly nonexistent. To add to the complexity of doing research in children, the lack of equipoise in using individual neuromonitoring tools, which are becoming part of standard clinical practice in many institutes, makes it almost impossible to do interventional studies in TBI. This led to the largest multicenter international pediatric TBI study of comparative effectiveness, taking advantage of this heterogeneity and routine clinical use of different monitoring and management, ADAPT (Approaches and Decisions for Acute Pediatric TBI). The study recruited 1000 children with sTBI to help create level II recommendations for crucial therapeutic targets such as CSF diversion, hypoxia management, and ICH management [111]. The study has already reported on EVD vs. intraparenchymal ICP monitoring, which will help inform how we use these two tools [22]. Further results of this study will hopefully address some gaps in the literature.

Conclusions

Children with sTBI require use of multiple systemic and neuromonitoring techniques. These give simultaneous information on different aspects of physiology, which can potentially affect patient outcomes. Advanced monitoring offers a distinct advantage by providing a direct assessment of the cerebrovascular and metabolic status of the brain. This is likely to be particularly important in children in whom fixed therapeutic targets may not address the developmental trajectory and changing physiology from birth to adulthood. The relationship between ICP, CPP, and outcome is not well defined and varies with age. A recent study demonstrated feasibility of implementing multimodal neuromonitoring in children with sTBI and, although a single-center study, shows promising results of utility in a clinical setting, with real-time physiology data informing bedside clinical decisions [66]. The evolution of multiple modalities to monitor the brain offers unique advantage in individualizing treatment. They hold promise for improving outcome pending accumulation of high-quality evidence confirming utility.

Author contributions

SA planned the review, contributed to basic neuromonitoring and cerebral autoregulation, and edited and compiled the final manuscript. IB contributed to the advanced invasive monitoring methods. FA contributed to noninvasive monitoring methods. All authors contributed to and approved the final manuscript.

Source of support

None.

Conflicts of interest

The authors have no conflicts of interest to declare.

Footnotes

Publisher's Note

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References

  • 1.Dewan MCMN, Wellons C, III, Bonfield CM. Epidemiology of global pediatric traumatic brain injury: qualitative review. World Neurosurg. 2016;91:497–509. doi: 10.1016/j.wneu.2016.03.045. [DOI] [PubMed] [Google Scholar]
  • 2.Kochanek PM, Tasker RC, Carney N, et al. Guidelines for the management of pediatric severe traumatic brain injury, third edition: update of the brain trauma foundation guidelines. Pediatr Crit Care Med. 2019;20:S1–S82. doi: 10.1097/PCC.0000000000001735. [DOI] [PubMed] [Google Scholar]
  • 3.Musick SAA. Neurologic assessment of the neurocritical care patient. Front Neurol. 2021;12:588989. doi: 10.3389/fneur.2021.588989. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Lazaridis C. Cerebral oxidative metabolism failure in traumatic brain injury: brain shock. J Crit Care. 2017;37:230–233. doi: 10.1016/j.jcrc.2016.09.027. [DOI] [PubMed] [Google Scholar]
  • 5.Lazaridis CRC, Robertson CS. Secondary brain injury: predicting and preventing insults. Neuropharmacology. 2019;145:145–152. doi: 10.1016/j.neuropharm.2018.06.005. [DOI] [PubMed] [Google Scholar]
  • 6.Kochanek PMCR, Ruppel RA, Adelson PD, Bell MJ, Whalen MJ, Roberston CL. Biochemical, cellular and molecular mechanisms in the evolutionof secondary brain damage after traumatic brian injury in infants and children: lessons learned from the bedside. Pediatr Crit Care Med. 2000;1:4–19. doi: 10.1097/00130478-200007000-00003. [DOI] [PubMed] [Google Scholar]
  • 7.Young AMGM, Donnelly J, Smielewski P, Agrawal S, Czosnyka M, Hutchinson PJ. Multimodality neuromonitoring in severe pediatric traumatic brain injury. Pediatr Res. 2018;83:41–49. doi: 10.1038/pr.2017.215. [DOI] [PubMed] [Google Scholar]
  • 8.Brennan PM, Murray GD, Teasdale GM. Simplifying the use of prognostic information in traumatic brain injury. Part 1: the GCS-Pupils score: an extended index of clinical severity. J Neurosurg. 2018;128:1612–1620. doi: 10.3171/2017.12.JNS172780. [DOI] [PubMed] [Google Scholar]
  • 9.Murray GD, Brennan PM, Teasdale GM. Simplifying the use of prognostic information in traumatic brain injury. Part 2: Graphical presentation of probabilities. J Neurosurg. 2018;128:1621–1634. doi: 10.3171/2017.12.JNS172782. [DOI] [PubMed] [Google Scholar]
  • 10.Emami PCP, Fritzsche FS, Westphal M, Rueger JM, Lefering R, et al. Impact of Glasgow Coma Scale score and pupil parameters on mortality rate and outcome in pediatric and adult severe traumatic brain injury: a retrospective, multicenter cohort study. J Neurosurg. 2017;126:760–767. doi: 10.3171/2016.1.JNS152385. [DOI] [PubMed] [Google Scholar]
  • 11.Murphy STN, Gertz SJ, Beca J, Luther JF, Bell MJ, Wisniewski SR, Hartman AL, Tasker RC, et al. Tripartite stratification of the glasgow coma scale in children with sever traumatic brain injury and mortality: an analysis from a multi-center comparative effectiveness study. J Neurotrauma. 2017;34:2220–2229. doi: 10.1089/neu.2016.4793. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Tien HCCJ, Wu SN, Chughtai T, Tremblay LN, Brenneman FD, et al. Do trauma patinets with a Glasgow Coma Scale score of 3 and bilateral fixed and dilated pupils have any chance of survival? J Trauma. 2006;60:274–278. doi: 10.1097/01.ta.0000197177.13379.f4. [DOI] [PubMed] [Google Scholar]
  • 13.Couret DBD, Grisotto C, Triglia T, Pellegrini L, Ocquidant P, Bruder NJ, Velly LJ. Reliability of standard pupillometry practice in neurocritical care: an observational, double-blinded study. Crit Care. 2016;13(20):99. doi: 10.1186/s13054-016-1239-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Freeman ADMC, Stockwell JA. Automated pupillary measurements inversely correlate with increased intracranial pressure in pediatric patients with acute brain injury or encephalopathy. Pediatr Crit Care Med. 2020;21:753–759. doi: 10.1097/PCC.0000000000002327. [DOI] [PubMed] [Google Scholar]
  • 15.Oddo MCI, Mehta S, Menon D, Payen JF, Tacone FS, Citerio G. Optimizing sedation in patients with acute brain injury. Crit Care. 2016;20:128. doi: 10.1186/s13054-016-1294-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Hawryluk GWJ, Aguilera S, Buki A, et al. A management algorithm for patients with intracranial pressure monitoring: the Seattle International Severe Traumatic Brain Injury Consensus Conference (SIBICC) Intensive Care Med. 2019;45:1783–1794. doi: 10.1007/s00134-019-05805-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Kirschen MPSK, Snyder M, Zhang B, Flibotte J, Heimall L, Budzynski K, DeLeo R, Cona J, Bocage C, Hur L, Winters M, Hanna R, Mensinger JL, Huh J, Lang SS, Barg FK, Shea JA, Ichord R, Berg RA, Levine JM, Nadkarni V, Topjian A. Serial neurologic assessment in pediatrics (SNAP): a new tool for bedside neurologic assessment of critically Ill children. Pediatr Crit Care Med. 2021;22:483–495. doi: 10.1097/PCC.0000000000002675. [DOI] [PubMed] [Google Scholar]
  • 18.Kirkham FJ, Newton CR, Whitehouse W. Paediatric coma scales. Dev Med Child Neurol. 2008;50:267–274. doi: 10.1111/j.1469-8749.2008.02042.x. [DOI] [PubMed] [Google Scholar]
  • 19.Wilson MH. Monroe Kellie 2.0: the dynamic vascular and venous pathophysiological components of intracranial pressure. JCBFM. 2016;36:1338–1350. doi: 10.1177/0271678X16648711. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Bales JWBR, Buckley RT, Barber J, Temkin N, Chesnut RM. Primary external ventricular drainage catheter versus intraparenchymal ICP monitoring: outcome analysis. Neurocrit Care. 2019;31:11–21. doi: 10.1007/s12028-019-00712-9. [DOI] [PubMed] [Google Scholar]
  • 21.Volovici VPD, Gravesteijn BY, Dirven CMF, Steyerberg EW, Ercole A, Stochetti N, Nelson D, Menon DK, Citerio G, et al. Comparative effectiveness of intracranial hypertension management guided by ventricular versus intraparenchymal pressure monitoring: a CENTER-TBI study. Acta Neurochir. 2022;164:1693–1705. doi: 10.1007/s00701-022-05257-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Bell MJ, Rosario BL, Kochanek PM, et al. Comparative effectiveness of diversion of cerebrospinal fluid for children with severe traumatic brain injury. JAMA Netw Open. 2022;5:e2220969-e. doi: 10.1001/jamanetworkopen.2022.20969. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Fernando SM, Tran A, Cheng W, et al. Diagnosis of elevated intracranial pressure in critically ill adults: systematic review and meta-analysis. BMJ. 2019;366:l4225. doi: 10.1136/bmj.l4225. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Robba CPS, Moro B, Vincent JL, Creteur J, Taccone FS. Multimodal non-invasive assessment of intracranial hypertension: an observational study. Crit Care. 2020;24:379. doi: 10.1186/s13054-020-03105-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Fernando SMTA, Cheng W, Rochwerg B, Taljaard M, Kyeremanteng K, English SW, Sekhon MS, Griesdale DEG, Dowlatshahi D, McCredie VA, Wijdicks EFM, Almenawer SA, Inaba K, Rajajee V, Perry JJ. Diagnosis of elevated intracranial pressure in critically ill adults: systematic review and meta-analysis. BMJ. 2019;24:366. doi: 10.1136/bmj.l4225. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Stippler MOV, Adelson PD, Chang YF, Tyler-Kabara EC, Wisniewski SR, Fink EL, Kochanek PM, Brown SD, Bell MJ. Brain tissue oxygen monitoring after severe traumatic brain injury in children: relationship to outcome and association with other clinical parameters. J Neurosurg Pediatr. 2012;10:383–391. doi: 10.3171/2012.8.PEDS12165. [DOI] [PubMed] [Google Scholar]
  • 27.Chambers IRTL, Mendelow AD. Determination of threshold levels of cerebral perfusion pressure and intracranial pressure in severe head injury by using receiver-operating characteristic curves: an observational study in 291 patients. J Nueorsurg. 2001;94:412–416. doi: 10.3171/jns.2001.94.3.0412. [DOI] [PubMed] [Google Scholar]
  • 28.Alberico AM, Ward JD, Choi SC, et al. Outcome after severe head injury. Relationship to mass lesions, diffuse injury, and ICP course in pediatric and adult patients. J Neurosurg. 1987;67:648–656. doi: 10.3171/jns.1987.67.5.0648. [DOI] [PubMed] [Google Scholar]
  • 29.Jagannathan JOD, Yeoh HK, et al. Long-term outcomes and prognostic factors in pediatric patients with severe traumatic brain injury and elevated intracranial pressure. J Nueorsurg Pediatr. 2008;2:240–249. doi: 10.3171/PED.2008.2.10.240. [DOI] [PubMed] [Google Scholar]
  • 30.Wahlström MROM, Koskinen LO, et al. Severe traumatic brain injury in pediatric patients: treatment and outcome using an intracranial pressure targeted therapy—the Lund concept. Intensive Care Med. 2005;31:832–839. doi: 10.1007/s00134-005-2632-2. [DOI] [PubMed] [Google Scholar]
  • 31.Kasoff SSLT, Holder D, et al. Aggressive physiologic monitoring of pediatric head trauma patients with elevated intracranial pressure. Pediatr Neurosci. 1987;14:241–249. doi: 10.1159/000120397. [DOI] [PubMed] [Google Scholar]
  • 32.Bennett TD, Riva-Cambrin J, Keenan HT, et al. Variation in intracranial pressure monitoring and outcomes in pediatric traumatic brain injury. Arch Pediatr Adolesc Med. 2012;166:641–647. doi: 10.1001/archpediatrics.2012.322. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Bennett TDDP, Greene TH, et al. Functional outcome after intracranial pressure monitoring for children with severe traumatic brain injury. JAMA Pediatr. 2017;171:965–971. doi: 10.1001/jamapediatrics.2017.2127. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Alkhoury FKT. Intracranial pressure monitoring in children with severe traumatic brain injury: National Trauma Data Bank-based review of outcomes. JAMA Surg. 2014;149:544–548. doi: 10.1001/jamasurg.2013.4329. [DOI] [PubMed] [Google Scholar]
  • 35.Chesnut RM, Temkin N, Carney N, Dikmen S, Rondina C, Videtta W, Petroni G, Lujan S, Pridgeon J, Barber J, Machamer J, Chaddock K, Celix JM, Cherner M, Hendrix T. Global Neurotrauma Research Group. A trial of intracranial-pressure monitoring in traumatic brain injury. N Engl J Med 2012;367:2471–81.
  • 36.Guiza F, Depreitere B, Piper I, et al. Visualizing the pressure and time burden of intracranial hypertension in adult and paediatric traumatic brain injury. Intensive Care Med. 2015;41:1067–1076. doi: 10.1007/s00134-015-3806-1. [DOI] [PubMed] [Google Scholar]
  • 37.Zeiler FA EA, Cabeleira M, Beqiri E, Zoerle T, Carbonara M, Stocchetti N, Menon DK, Smielewski P, Czosnyka M. CENTER-TBI High Resolution ICU Sub-Study Participants and Investigators. Compensatory-reserve-weighted intracranial pressure versus intracranial pressure for outcome association in adult traumatic brain injury: a CENTER-TBI validation study. Acta Neurochir (Wien) 2019;161:1275–84. [DOI] [PMC free article] [PubMed]
  • 38.Bratton SL, Chestnut RM, Ghajar J, et al. Guidelines for the management of severe traumatic brain injury. IX Cerebral perfusion thresholds. J Neurotrauma. 2007;24(Suppl 1):S59–64. doi: 10.1089/neu.2007.9987. [DOI] [PubMed] [Google Scholar]
  • 39.Chaiwat OSD, Udomphorn Y, et al. Cerebral hemodynamic predictors of poor 6-month Glasgow Outcoem Score in severe pediatric traumatic brain injury. J Neurotrauma. 2009;26:657–663. doi: 10.1089/neu.2008.0770. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Figaji AAZE, Thompson C, Fieggen AG, Argent AC, Le Roux PD, Peter JC. Brain tissue oxygen tension monitoring in pediatric severe traumatic brain injury. Childs Nerv Syst. 2009;25:1335–1343. doi: 10.1007/s00381-009-0821-y. [DOI] [PubMed] [Google Scholar]
  • 41.Stiefel MFUJ, Storm PB, Sutton LN, Kim H, Dominguez TE, Helfaer MA, Huh JW. Brain tissue oxygen monitoring in pediatric patients with severe traumatic brain injury. J Neurosurg. 2006;105:281–286. doi: 10.3171/ped.2006.105.4.281. [DOI] [PubMed] [Google Scholar]
  • 42.Woods KS, Horvat CM, Kantawala S, et al. Intracranial and cerebral perfusion pressure thresholds associated with inhospital mortality across pediatric neurocritical care. Pediatric Crit Care Med. 2021;22:135–146. doi: 10.1097/PCC.0000000000002618. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Czosnyka M, Brady K, Reinhard M, Smielewski P, Steiner LA. Monitoring of cerebrovascular autoregulation: facts, myths, and missing links. Neurocrit Care. 2009;10:373–386. doi: 10.1007/s12028-008-9175-7. [DOI] [PubMed] [Google Scholar]
  • 44.Udomphorn Y, Armstead WM, Vavilala MS. Cerebral blood flow and autoregulation after pediatric traumatic brain injury. Pediatr Neurol. 2008;38:225–234. doi: 10.1016/j.pediatrneurol.2007.09.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Freeman SS, Udomphorn Y, Armstead WM, Fisk DM, Vavilala MS. Young age as a risk factor for impaired cerebral autoregulation after moderate to severe pediatric traumatic brain injury. Anesthesiology. 2008;108:588–595. doi: 10.1097/ALN.0b013e31816725d7. [DOI] [PubMed] [Google Scholar]
  • 46.Donnelly JEYA, Brady K. Autoregulation in paediatric TBI-current evidence and implications for treatment. Childs Nerv Syst. 2017;33:1735–1744. doi: 10.1007/s00381-017-3523-x. [DOI] [PubMed] [Google Scholar]
  • 47.Rangel-Castillo LGJ, Nauta HJW, Okonkwo DO, Robertson CS. Cerebral pressure autoregulation in traumatic brain injury. Neurosurg Focus. 2008;25:E7. doi: 10.3171/FOC.2008.25.10.E7. [DOI] [PubMed] [Google Scholar]
  • 48.Czosnyka MSP, Kirkpatrick P, Laing RJ, Menon D, Pickard JD. Continuous assessment of the cerebral vasomotor reactivity in head injury. Neurosurgery. 1997;41:11–17. doi: 10.1097/00006123-199707000-00005. [DOI] [PubMed] [Google Scholar]
  • 49.Sorrentino EDJ, Ksprowicz M, Budohoski KP, Haubrich C, Smielewski P, Outtrim JG, Manktelow A, Hutchinson PJ, Pickard JD, Menon DK, Czosnyka M. Critical thresholds for cerebrovascular reactivity after traumatic brain injury. Neurocrit Care. 2012;16:258–266. doi: 10.1007/s12028-011-9630-8. [DOI] [PubMed] [Google Scholar]
  • 50.Young AMDJ, Czosnyka M, Jalloh I, Liu X, Aries MJ, Fernandes HM, Garnett MR, Smielewski P, Hutchinson PJ, Agrawal S. Continuous multimodality in children after traumatic brain injury-preliminary experience. PLoS ONE. 2016;11:e0148817. doi: 10.1371/journal.pone.0148817. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Brady KMSD, Lee JK, Easley RB, Smielewski P, Czosnyka M, Jallo GI, Guerguerian AM. Continuous monitoring of cerebrovascular pressure reactivity after traumatic brain injury in children. Pediatrics. 2009;124:e1205–e1212. doi: 10.1542/peds.2009-0550. [DOI] [PubMed] [Google Scholar]
  • 52.LA Steiner CM, Piechnik SK, Smielewski P, Chatfield D, Menon DK, Pickard JD. Continuous monitoring of cerebrovascular pressure reactivity allows determination of optimal cerebral perfusion pressure in patients with traumatic brain injury. Crit Care Med. 2002;30:733–738. doi: 10.1097/00003246-200204000-00002. [DOI] [PubMed] [Google Scholar]
  • 53.Le Roux P MD, Citerio G, Vespa P, Bader MK, Brophy G, Diringer MN, Stocchetti N, Videtta W, Armonda R, Badjatia N, Bösel J, Chesnut R, Chou S, Claassen J, Czosnyka M, De Georgia M, Figaji A, Fugate J, Helbok R, Horowitz D, Hutchinson P, Kumar M, McNett M, Miller C, Naidech A, Oddo M, Olson D, O'Phelan K, Provencio JJ, Puppo C, Riker R, Roberson C, Schmidt M, Taccone F. The International Multidisciplinary Consensus Conference on Multimodality Monitoring in Neurocritical Care: evidentiary tables: a statement for healthcare professionals from the Neurocritical Care Society and the European Society of Intensive Care Medicine. Neurocrit Care 2014;21:S297- S361. [DOI] [PMC free article] [PubMed]
  • 54.Tas JBE, van Kaam RC, Czosnyka M, Donnelly J, Haeren RH, van der Horst ICC, Hutchinson PJ, van Kuijk SMJ, Liberti AL, Menon DK, Hoedemaekers CWE, Depreitere B, Smielewski P, Meyfroidt G, Ercole A, Aries MJH. Targeting autoregulation-guided cerebral perfusion pressure after traumatic brain injury (COGiTATE): a feasibility randomized controlled clinical trial. J Neurotrauma. 2021;38:2790–2800. doi: 10.1089/neu.2021.0197. [DOI] [PubMed] [Google Scholar]
  • 55.Agrawal S, Placek MM, White D, Daubney E, Cabeleira M, Smielewski P, Czosnyka M, Young A, Watson S, Maw A, Hutchinson PJ. Studying Trends of Auto-Regulation in Severe Head Injury in Paediatrics (STARSHIP): protocol to study cerebral autoregulation in a prospective multicentre observational research database study. BMJ Open. 2023;13(3):e071800. doi: 10.1136/bmjopen-2023-071800. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Lo T, Piper I, Depreitere B, et al. KidsBrainIT: a new multi-centre, multi-disciplinary, multi-national paediatric brain monitoring collaboration. Acta Neurochir Suppl. 2018;126:39–45. doi: 10.1007/978-3-319-65798-1_9. [DOI] [PubMed] [Google Scholar]
  • 57.Agrawal S, Placek MM, White D, et al. Studying trends of auto-regulation in severe head injury in paediatrics (STARSHIP): protocol to study cerebral autoregulation in a prospective multicentre observational research database study. BMJ Open. 2023;13:e071800. doi: 10.1136/bmjopen-2023-071800. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Liu XCM, Donnelly J, Cardim D, Cabeleira M, Hutchinson PJ, Hu X, Smielewski P, Brady K. Wavelet pressure reactivity index: a validation study. J Physiol. 2018;596:2797–2809. doi: 10.1113/JP274708. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Appavu BTM, Foldes S, Burrows BT, Kuwabara M, Jacobson A, Adelson PD. Association of outcomes with model-based indices of cerebral autoregulation after pediatric traumatic brain injury. Neurocrit Care. 2021;35:640–650. doi: 10.1007/s12028-021-01279-0. [DOI] [PubMed] [Google Scholar]
  • 60.Lazaridis C, Smielewski P, Menon DK, Hutchinson P, Pickard JD, Czosnyka M. Patient-specific thresholds and doses of intracranial hypertension in severe traumatic brain injury. Acta Neurochir Suppl. 2016;122:117–120. doi: 10.1007/978-3-319-22533-3_23. [DOI] [PubMed] [Google Scholar]
  • 61.Zeiler FA, Ercole A, Cabeleira M, Beqiri E, Zoerle T, Carbonara M, Stocchetti N, Menon DK, Lazaridis C, Smielewski P, Czosnyka M; CENTER-TBI High Resolution ICU Sub-Study Participants and Investigators. Patient-specific ICP epidemiologic thresholds in adult traumatic brain injury: a CENTER-TBI validation study. J Neurosurg Anesthesiol 2021;33:28–38. [DOI] [PubMed]
  • 62.Czosnyka MGE, Whitehouse M, Smielewski P, Czosnyka Z, Kirkpatrick P, Piechnik S, Pickard JD. Significance of intracranial pressure waveform analysis after head injury. Acta Neurochir (Wien) 1996;138:531–541. doi: 10.1007/BF01411173. [DOI] [PubMed] [Google Scholar]
  • 63.Aries MJCM, Budohoski KP, Kolias AG, Radolovich DK, Lavinio A, Pickard JD, Smielewski P. Continuous monitoring of cerebrovascular reactivity using pulse waveform of intracranial pressure. Neurocrit Care. 2012;17:67–76. doi: 10.1007/s12028-012-9687-z. [DOI] [PubMed] [Google Scholar]
  • 64.Elsamadicy AAKA, David WB, Lee V, Zogg CK, Kundishora AJ, Hong C, Reeves BC, Sarkozy M, Kahle KT, DiLuna M. ost-traumatic seizures following pediatric traumatic brain injury. Clin Neurol Neurosurg. 2021;203:106556. doi: 10.1016/j.clineuro.2021.106556. [DOI] [PubMed] [Google Scholar]
  • 65.Topjian AA, de Caen A, Wainwright MS, et al. pediatric post-cardiac arrest care: a scientific statement from the American Heart Association. Circulation. 2019;140:e194–e233. doi: 10.1161/CIR.0000000000000697. [DOI] [PubMed] [Google Scholar]
  • 66.Appavu BBB, Nickoles T, Boerwinkle V, Willyerd A, Gunnala V, Mangum T, Marku I, Adelson PD. Implementation of multimodality neurologic monitoring reporting in pediatric traumatic brain injury management. Neurocrit Care. 2021;35:3–15. doi: 10.1007/s12028-021-01190-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.O'Neill BRHM, Tong S, Chapman KE. Incidence of seizures on continuous EEG monitoring following traumatic brain injury in children. J Neurosurg Pediatr. 2015;16:167–176. doi: 10.3171/2014.12.PEDS14263. [DOI] [PubMed] [Google Scholar]
  • 68.Arndt DHLJ, Matsumoto JH, Madikians A, Yudovin S, Valino H, McArthur DL, Wu JY, Leung M, Buxey F, Szeliga C, Van Hirtum-Das M, Sankar R, Brooks-Kayal A, Giza CC. Subclinical early posttraumatic seizures detected by continuous EEG monitoring in a consecutive pediatric cohort. Epilepsia. 2013;54:1780–1788. doi: 10.1111/epi.12369. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Kurz JE Poloyac SM, Abend NS, Fabio A, Bell MJ, Wainwright MS; Investigators for the Approaches and Decisions in Acute Pediatric TBI Trial. Variation in anticonvulsant selection and electroencephalographic monitoring following severe traumatic brain injury in children-understanding resource availability in sites participating in a comparative effectiveness study. Pediatr Crit Care Med 2016;17:649–57. [DOI] [PMC free article] [PubMed]
  • 70.Vaewpanich J, Reuter-Rice K. Continuous Electroencephalography in pediatric traumatic brain injury: seizure characteristics and outcomes. Epilepsy Behav. 2016;62:225–230. doi: 10.1016/j.yebeh.2016.07.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Nadlonek NAAS, Bensard DD, Bansal S, Partrick DA. Early diffuse slowing on electroencephalogram in pediatric traumatic brain injury: impact on management and prognosis. J Pediatric Surg. 2015;50:1338–1340. doi: 10.1016/j.jpedsurg.2015.03.060. [DOI] [PubMed] [Google Scholar]
  • 72.Müller MRA, Zimmermann R, Alvarez V, Ruegg S, Haenggi M, Z'Graggen WJ, Schindler K, Zubler F. Standardized visual EEG features predict outcome in patients with acute consciousness impairment of various etiologies. Crit Care. 2020;24:680. doi: 10.1186/s13054-020-03407-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Xie J, Burrows B, Fox Kensicki J, Adelson PD, Appavu B. Early electroencephalographic features predicting cerebral physiology and functional outcomes after pediatric traumatic brain injury. Neurocrit Care. 2023;38:657–666. doi: 10.1007/s12028-022-01633-w. [DOI] [PubMed] [Google Scholar]
  • 74.Sansevere AJHC, Abend NS. Conventional and quantitative EEG in status epilepticus. Seizure. 2019;68:38–45. doi: 10.1016/j.seizure.2018.09.011. [DOI] [PubMed] [Google Scholar]
  • 75.Appavu BFS, Temkit M, Jacobson A, Burrows BT, Brown D, Boerwinkle V, Marku I, Adelson PD. Intracranial electroencephalography in pediatric severe traumatic brain injury. Pediatr Crit Care Med. 2020;21:240–247. doi: 10.1097/PCC.0000000000002136. [DOI] [PubMed] [Google Scholar]
  • 76.Schmitt S, Dichter M. Electrophysiologic recordings in traumatic brain injury. New York: Elsevier; 2015. [DOI] [PubMed] [Google Scholar]
  • 77.Robinson LRMP, Tirschwell DL, Lew HL. Predictive value of somatosensory evoked potentials for awakening from coma. Crit Care Med. 2003;31:960–967. doi: 10.1097/01.CCM.0000053643.21751.3B. [DOI] [PubMed] [Google Scholar]
  • 78.Tisdall MMSM. Multimodal monitoring in traumatic brain injury: current status and future directions. Br J Anaesth. 2007;99:61–67. doi: 10.1093/bja/aem143. [DOI] [PubMed] [Google Scholar]
  • 79.Hessel TW, Hyttel-Sorensen S, Greisen G. Cerebral oxygenation after birth—a comparison of INVOS ® and FORE-SIGHTTM near-infrared spectroscopy oximeters. Acta Paediatr. 2014;103:488–493. doi: 10.1111/apa.12567. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Pisano AGN, Iovino TP, Angelone M, Corcione A. Direct comparison between cerebral oximetry by INVOS(TM) and EQUANOX(TM) during cardiac surgery: a pilot study. Heart Lung Vessel. 2014;6:197–203. [PMC free article] [PubMed] [Google Scholar]
  • 81.Thavasothy MBM, Elwell C, Peters M, Smith M. A comparison of cerebral oxygenation as measured by the NIRO 300 and the INVOS 5100 Near-Infrared Spectrophotometers. Anaesthesia. 2002;57:999–1006. doi: 10.1046/j.1365-2044.2002.02826.x. [DOI] [PubMed] [Google Scholar]
  • 82.Bickler PEFJ, Rollins MD. Factors affecting the performance of 5 cerebral oximeters during hypoxia in healthy volunteers. Anesth Analog. 2013;117:813–823. doi: 10.1213/ANE.0b013e318297d763. [DOI] [PubMed] [Google Scholar]
  • 83.Dix LM, van Bel F, Baerts W, Lemmers PM. Comparing near-infrared spectroscopy devices and their sensors for monitoring regional cerebral oxygen saturation in the neonate. Pediatr Res. 2013;74:557–563. doi: 10.1038/pr.2013.133. [DOI] [PubMed] [Google Scholar]
  • 84.Brady KMLJ, Kibler KK, Smielewski P, Czosnyka M, Easley RB, Koehler RC, Shaffner DH. Continuous time-domain analysis of cerebrovascular autoregulation using near-infrared spectroscopy. Stroke. 2007;38:2818–2825. doi: 10.1161/STROKEAHA.107.485706. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Abecasis FDC, Zakrzewska A, Oliveira V, Czosnyka M. Monitoring cerebrovascular reactivity in pediatric traumatic brain injury: comparison of three methods. Childs Nerv Syst. 2021;37:3057–3065. doi: 10.1007/s00381-021-05263-z. [DOI] [PubMed] [Google Scholar]
  • 86.Adelson PD, Nemota E, Colak A, Painter M. The use of near infrared spectroscopy (NIRS) in children after traumatic brain injury: a preliminary report. In: Intracranial pressure and neuromonitoring in brain injury. Acta Neurochir Suppl 1998;71:250–4. [DOI] [PubMed]
  • 87.Hanalioglu DOA, Temkit M, Adelson PD, Appavu B. Carbon dioxide reactivity of brain tissue oxygenation after pediatric traumatic brain injury. Children (Basel) 2022;14:409. doi: 10.3390/children9030409. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Gosling RGKD. Arterial assessment by Doppler-shift ultrasound. Proc R Soc Med. 1974;67:447–449. doi: 10.1177/00359157740676P113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Abecasis FCD, Czosnyka M, Robba C, Agrawal S. Transcranial Doppler as a non-invasive method to estimate cerebral perfusion pressure in children with severe traumatic brain injury. Childs Nerv Syst. 2020;36:125–131. doi: 10.1007/s00381-019-04273-2. [DOI] [PubMed] [Google Scholar]
  • 90.O’Brien NFMT, Reuter-Rice K. Noninvasive screening for intracranial hypertension in children with acute, severe traumatic brain injury. J Neurosurg Pediatr. 2015;16:420–425. doi: 10.3171/2015.3.PEDS14521. [DOI] [PubMed] [Google Scholar]
  • 91.Czosnyka MRH, Whitehouse HE, Pickard JD. Relationship between transcranial Doppler-determined pulsatility index and cerebrovascular resistance: an experimental study. J Neurosurg. 1996;84:79–84. doi: 10.3171/jns.1996.84.1.0079. [DOI] [PubMed] [Google Scholar]
  • 92.Cardim DRC, Bohdanowicz M, Donnelly J, Cabella B, Liu X, Cabeleira M, Smielewski P, Schmidt B, Czosnyka M. Non-invasive monitoring of intracranial pressure using transcranial doppler ultrasonography: is it possible? Neurocrit Care. 2016;25:473–491. doi: 10.1007/s12028-016-0258-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Figaji AAZE, Fieggen AG, Siesjo P, Peter JC. Transcranial Doppler pulsatility index is not a reliable indicator of intracranial pressure in children with severe traumatic brain injury. Surg Neurol. 2009;72:389–394. doi: 10.1016/j.surneu.2009.02.012. [DOI] [PubMed] [Google Scholar]
  • 94.Melo JRDRF, Blanot S, Cuttaree H, Sainte-Rose C, Oliveira-Filho J, Zerah M, Meyer PG. Transcranial Doppler can predict intracranial hypertension in children with severe traumatic brain injuries. Childs Nerv Syst. 2011;27:979–984. doi: 10.1007/s00381-010-1367-8. [DOI] [PubMed] [Google Scholar]
  • 95.de Riva NBK, Smielewski P, Kasprowicz M, Zweifel C, Steiner LA, Reinhard M, Fábregas N, Pickard JD, Czosnyka M. Transcranial Doppler pulsatility index: what it is and what it isn’t. Neurocrit Care. 2012;17:58–66. doi: 10.1007/s12028-012-9672-6. [DOI] [PubMed] [Google Scholar]
  • 96.Czosnyka MSP, Kirkpatrick P, Menon DK, Pickard JD. Monitoring of cerebral autoregulation in head-injured patients. Stroke. 1996;27:1829–1834. doi: 10.1161/01.str.27.10.1829. [DOI] [PubMed] [Google Scholar]
  • 97.Vavilala MSLL, Boddu K, Visco E, Newell DW, Zimmerman JJ, Lam AM. Cerebral autoregulation in pediatric traumatic brain injury. Pediatr Crit Care Med. 2004;5:257–263. doi: 10.1097/01.pcc.0000123545.69133.c3. [DOI] [PubMed] [Google Scholar]
  • 98.Abecasis FOV, Robba C, Czosnyka M. Transcranial Doppler in pediatric emergency and intensive care unit: a case series and literature review. Childs Nerv Syst. 2018;34:1465–1470. doi: 10.1007/s00381-018-3877-8. [DOI] [PubMed] [Google Scholar]
  • 99.Rohlwink UKZE, Fieggen AG, Argent AC, le Roux PD, Figaji AA. The relationship between intracranial pressure and brain oxygenation in children with severe traumatic brain injury. Neurosurgery. 2012;70:1220–1231. doi: 10.1227/NEU.0b013e318243fc59. [DOI] [PubMed] [Google Scholar]
  • 100.Rakkar J, Azar J, Pelletier JH, et al. Temporal patterns in brain tissue and systemic oxygenation associated with mortality after severe traumatic brain injury in children. Neurocrit Care. 2022;38:71–84. doi: 10.1007/s12028-022-01602-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Okonkwo DOSL, Moore C, Temkin NR, Puccio AM, Madden CJ, Andaluz N, Chesnut RM, Bullock MR, Grant GA, McGregor J. Brain tissue oxygen monitoring and management in severe traumatic brain injury (BOOST-II): a phase II randomized trial. Crit Care Med. 2017;45:1907. doi: 10.1097/CCM.0000000000002619. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Bernard F, Barsan W, Diaz-Arrastia R, Merck LH, Yeatts S, Shutter LA, Shutter LA. Brain Oxygen Optimization in Severe Traumatic Brain Injury (BOOST-3): a multicentre, randomised, blinded-endpoint, comparative effectiveness study of brain tissue oxygen and intracranial pressure monitoring versus intracranial pressure alone. BMJ Open. 2022;12:e060188. doi: 10.1136/bmjopen-2021-060188. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Veenith TVCE, Geeraerts T, Grossac J, Newcombe VF, Outtrim J, Gee GS, Lupson V, Smith R, Aigbirhio FI, Fryer TD. Pathophysiologic mechanisms of cerebral ischemia and diffusion hypoxia in traumatic brain injury. JAMA Neurol. 2016;73:542–550. doi: 10.1001/jamaneurol.2016.0091. [DOI] [PubMed] [Google Scholar]
  • 104.Hutchinson PJJI, Helmy A, Carpenter KL, Rostami E, Bellander BM, Boutelle MG, Chen JW, Claassen J, Dahyot-Fizelier C, Enblad P. Consensus statement from the 2014 international microdialysis forum. Intensive Care Med. 2015;41:1517–1528. doi: 10.1007/s00134-015-3930-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Timofeev ICK, Nortje J, Al-Rawi PG, O’Connell MT, Czosnyka M, Smielewski P, Pickard JD, Menon DK, Kirkpatrick PJ, Gupta AK. Cerebral extracellular chemistry and outcome following traumatic brain injury: a microdialysis study of 223 patients. Brain. 2011;134:484–494. doi: 10.1093/brain/awq353. [DOI] [PubMed] [Google Scholar]
  • 106.Guilfoyle MRHA, Donnelly J, Stovell MG, Timofeev I, Pickard JD, Czosnyka M, Smielewski P, Menon DK, Carpenter KL, Hutchinson PJ. Characterising the dynamics of cerebral metabolic dysfunction following traumatic brain injury: a microdialysis study in 619 patients. PLoS ONE. 2021;16:e0260291. doi: 10.1371/journal.pone.0260291. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Tolias CMRD, Bowery NG, Sgouros S. Extracellular glutamate in the brains of children with severe head injuries: a pilot microdialysis study. Childs Nerv Syst. 2002;18:368–374. doi: 10.1007/s00381-002-0623-y. [DOI] [PubMed] [Google Scholar]
  • 108.DA Richards TC, Sgouros S, Bowery NG. Extracellular glutamine to glutamate ratio may predict outcome in the injured brain: a clinical microdialysis study in children. Pharmacol Res. 2003;48:101–109. [PubMed] [Google Scholar]
  • 109.Khellaf AGN, Tajsic T, Alam A, Stovell MG, Killen MJ, Howe DJ, Guilfoyle MR, Jalloh I, Timofeev I, Murphy MP. Focally administered succinate improves cerebral metabolism in traumatic brain injury patients with mitochondrial dysfunction. J Cereb Blood Flow Metab. 2022;42:39–55. doi: 10.1177/0271678X211042112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Appavu B, Foldes ST, Adelson PD. Clinical trials for pediatric traumatic brain injury: definition of insanity? J Neurosurg Pediatr. 2019;23:661–669. doi: 10.3171/2019.2.PEDS18384. [DOI] [PubMed] [Google Scholar]
  • 111.Bell MJ, Adelson P, Wisniewski SR, for the investigators of the ADAPT study. Challenges and opportunities for pediatric severe TBI-review of the evidence and exploring a way forward. Childs Nerv Syst 2017;33:1663–7. [DOI] [PubMed]

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