CC BY-NC-ND 4.0 · J Neuroanaesth Crit Care 2019; 06(02): 062-071
DOI: 10.1055/s-0039-1692863
Review Article
Indian Society of Neuroanaesthesiology and Critical Care

Multimodal Neuromonitoring: Current Scenario in Neurocritical Care

Keshav Goyal
1   Department of Neuroanaesthesiology and Critical Care, Neurosciences Centre, All India Institute of Medical Sciences (AIIMS), New Delhi, India
,
Ankur Khandelwal
1   Department of Neuroanaesthesiology and Critical Care, Neurosciences Centre, All India Institute of Medical Sciences (AIIMS), New Delhi, India
,
Shweta Kedia
2   Department of Neurosurgery, Neurosciences Centre, All India Institute of Medical Sciences (AIIMS), New Delhi, India
› Author Affiliations
Further Information

Address for correspondence

Keshav Goyal, MD, DM
Department of Neuroanaesthesiology and Critical Care
710, Neurosciences Centre, All India Institute of Medical Sciences (AIIMS), New Delhi 110029
India   

Publication History

Received: 31 March 2019

Accepted after revision: 03 May 2019

Publication Date:
19 June 2019 (online)

 

Abstract

Multimodal neuromonitoring (NM) is the concept of integrating various tools and data to understand brain physiology and guide therapeutic interventions to prevent secondary brain injury. There exists a range of invasive/noninvasive and global/regional monitors of cerebral hemodynamics, oxygenation, metabolism, and electrophysiology that can be used to guide treatment decisions after neurological insult. No single monitoring modality is ideal for all patients. Simultaneous assessment of cerebral hemodynamics, oxygenation, and metabolism allows individualized patient care. The ability to analyze these advanced data for real-time clinical care, however, remains intuitive and primitive. Advanced informatics is promising and may provide us a supportive tool to interpret physiological events and guide pathophysiological-based therapeutic decisions. Available literature is not robust regarding multimodality NM and favorable patient outcome. This narrative review is undertaken to know the status and recent advancement of multimodal NM in neurocritical care.


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Introduction

With the rapid technological advances in the recent years, neurocritical care has become one of the most emerging subspecialties catering to the needs of the critically ill patient with neurological dysfunction. Multidisciplinary specialists have now stood up on a common platform to provide efficient and expedient means of protecting the injured brain from further insult and ensuring improved recovery and overall outcomes. A significant portion of achievement should be credited to the simultaneous development of multimodal neuromonitoring (NM) techniques, which have evolved to obtain real-time information about the pathophysiology of injured brain ([Table 1]). The goal of NM is to supplement the continuous evaluation of the neurologically injured patient beyond what serial neurological examinations and serial imaging can provide.

Table 1

Various multimodality neuromonitorings based on function

Abbreviations: cEEG, continuous EEG; CPP, cerebral perfusion pressure; EEG, electroencephalography; GCS, Glasgow coma scale; ICP, intracranial pressure, NIRS, near-infrared spectroscopy; NSE, neuron-specific enolase; ORx, oxygen reactivity index; PbtO2, brain tissue oxygen partial pressure; PRX, pressure reactivity index, Mx, flow velocity index; qEEG, quantitative EEG; SjvO2, jugular venous oxygen saturation; TCD, transcranial Doppler; TDF, thermal diffusion flowmetry.

1

Clinical neurological evaluation

GCS, pupils, lateralizing signs, pupillometry

2

Cerebral flow-directed techniques

ICP, CPP, TCD, TDF

3

Cerebral autoregulation

PRx, Mx, ORx

4

Cerebral oxygenation-directed techniques

SjvO2, PbtO2, NIRS

5

Reflecting cerebral metabolism

Microdialysis, imaging

6

Reflecting cerebral global function

EEG, qEEG

7

Cerebral damage markers

S100B, NSE

Although clinical assessment of comatose patients remains the gold standard, the detection of adverse events appears very late. Using various NM modalities, correction of physiological parameters can begin much before the irreversible damage. Given the pathophysiological complexity of brain injury, a single NM technique is unable to detect all instances of cerebral compromise. A multimodal NM strategy allows clinicians to better understand the pathophysiology and use individualized management within the context of protocolized care. In clinical practice, it is still not a standard of care. This narrative review is undertaken to know the status and recent advancement of multimodal NM in neurocritical care ([Table 2]).

Table 2

Various multimodality neuromonitorings and their recent advances

Multimodality neuromonitoring

Recent advances

Recommended targets

Abbreviations: ACA, anterior cerebral artery; BA, basilar artery; CA, cerebral autoregulation; cEEG, continuous EEG; CMD, cerebral microdialysis; CPP, cerebral perfusion pressure; CPPopt, optimal CPP; ECICA, extracranial internal carotid artery; EEG, electroencephalography; ICP, intracranial pressure; MCA, middle cerebral artery; NA, not applicable; NCSE, nonconvulsive status epilepticus; NIRS, near-infrared spectroscopy; qEEG, quantitative EEG; PCA, posterior cerebral artery; PbtO2, brain tissue oxygen partial pressure; SjvO2, jugular venous oxygen saturation; TCD, transcranial Doppler; TDF, thermal diffusion flowmetry; VA, vertebral artery.

Clinical neurological evaluation

Infrared pupillometry

NA

ICP

  1. ICP > 22 mm Hg as cutoff

  2. Concept of overall burden (dose) of ICP

  3. Optimal positioning in focal lesions

  4. ICP data as color-coded plots for early warning and prognostication

  5. Thrust on waveform analysis

Normal ICP in supine position: Adults: 5–15 mm Hg

Children: 3–7 mm Hg

Infants: 1.5–6 mm Hg

Threshold for treatment: Adults: 22 mm Hg

Children: 20 mm Hg

CPP

  1. Proper positioning of arterial transducer at tragus

  2. CPPopt concept

Adults: 60–70 mm Hg

Children: 40–50 mm Hg

CA

Low-frequency (minute to minute) signal processing instead of high-frequency (10 s): less data loss, better monitoring

Varies between–1 and +1

PRx >0.2: Impaired autoregulation

PRx <0.2: Normal autoregulation

TCD

Transcranial color-coded duplex sonography

ECICA: 30 ± 9 (away)

MCA:55 ± 12 cm/sec (toward)

ACA:50 ± 11 cm/sec (away)

PCAsegment 1:39 ± 11 cm/sec (toward)

PCAsegment 2:40 ± 10 cm/sec (away)

BA:41 ± 10 cm/sec (away)

VA:38 ± 10 cm/sec (away)

TDF

Normal CBF in young adults: 50 mL/100 g of brain tissue/min (range 20–70 mL)

The ischemic threshold: 18 mL/100 g/min

< 10 mL/100 g/min irreversible damage

SjvO2

  1. Importance of estimation of arteriovenous oxygen content difference (a-vDO2) (level III in BTF)

  2. Multiple or sustained (> 10 min) desaturations—poor outcome

Normal SjvO2: between 55%–75%

Ischemic threshold: SjvO2 < 50% for at least 10 min

PbtO2

  1. Most robust database among all oxygenation monitoring

  2. Useful to guide the management of intracranial hypertension, to select the time and the type of treatment, and to monitor the effects of therapeutic interventions

  3. Interventions to maintain PbtO2 > 20 mm Hg

  4. Stress on routine placement of probe in the normal-appearing brain, typically in the nondominant frontal lobe

The normal values: 35–50 mm Hg

Threshold: Adults: ≤ 15–20 mm Hg

Pediatric: ≤ 10 mm Hg

NIRS

  1. Noninvasive estimation of CA continuously

  2. Ultrasound-tagged NIRS for continuous CBF

  3. NIRS-based handheld device to screen intracranial hematomas in prehospital environment

The normal values: 60–80% Threshold not clearly defined

Microdialysis (CMD)

  1. Concept of hyperglycolysis and neuroglycopenia after TBI

  2. Use of CMD to differentiate ischemic from nonischemic etiology

  3. Useful in neuroprotective drug trials

  4. Availability of rapid sampling CMD

The normal value: Glucose: 1.7–2.1 mmol/L

Lactate: 2.9–3.1 mmol/L

Pyruvate: 151–166 µmol/L

LPR 19–23

Glycerol: 50–100 µmol/L

Glutamate: 14-16 µmol/L

Threshold:

Glucose ≤ 0.7–1.0 mmol/L

LPR ≥ 40

Trend is more useful than absolute values

EEG

  1. cEEG at least for 48 h for NCSE

  2. qEEG

  3. Invasive EEG more specific as compared to scalp EEG

NA


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Definition

Multimodal NM encompasses integration of cerebral physiological parameters that assist intensive care unit (ICU) physicians in the management of brain-injured patients. These parameters include intracranial pressure (ICP), cerebral perfusion pressure (CPP), cerebral blood flow (CBF), cerebral oxygenation, cerebral metabolism, and electrocortical activity.[1]


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Indications

Multimodal NM has mostly been studied in patients with acute brain injury (ABI) (traumatic brain injury [TBI], subarachnoid hemorrhage [SAH], intracerebral hemorrhage [ICH], and acute ischemic stroke [AIS]) to detect early the secondary brain injury. It is indicated in sedated patients with Glasgow coma scale (GCS) < 9 and an abnormal brain computed tomography (CT) scan (intraparenchymal contusions/hemorrhages) in whom clinical examination is not reliable and who are at high risk for secondary cerebral damage, particularly elevated ICP, cerebral ischemia/hypoxia, energy dysfunction, and NCS. It is useful in guiding individualized, patient-specific therapy after ABI by optimizing the intracranial physiological milieu and also helps in prognostication (brain death patients). It can also be utilized as intraoperative monitoring during cardiac and carotid surgeries.


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Various Neuromonitoring Modalities

Clinical Examination

Clinical assessment is the key component of NM; however, it is often confounded by sedation and muscle relaxation in comatose patients. Objective scales, such as GCS and full outline of unresponsiveness (FOUR) score, help standardize neurological state assessment. These help to identify changes by serial examination and also guide prognostication. Examination of pupil and documenting focal limb deficit (by medical research council scale) is also important.[2] Infrared pupillometry provides an objective assessment of pupillary reactivity and may be superior to its clinical assessment.[3] Subtle changes in intracranial physiology may not be detected by clinical examination, and alterations in the neurological state generally occur late. Clinical assessment should be supplemented by other NM techniques.


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Intracranial Pressure

Direct measurement of ICP is the cornerstone of NM and standard of care following TBI in many neurosciences centers. Two methods of monitoring ICP are commonly used in clinical practice: intraventricular catheters and intraparenchymal microtransducer sensors (piezoelectric strain gauge [Codman microsensor and Raumedic Neurovent; Codman & Shurtleff, Inc., Massachusetts, United States] or fiberoptic [Integra Camino sensor; Integra LifeSciences, Tullamore, Ireland]). In addition to absolute ICP measurement, ICP monitoring allows calculation of CPP and assessment of intracranial compliance, cerebrovascular reactivity, and autoregulatory status.[4] [5]

Several noninvasive methods for measuring and evaluating ICP have been developed. Optic nerve sheath diameter (ONSD), transcranial Doppler (TCD) ultrasonography, and pupillometry are noninvasive techniques that seem promising. By measuring the optic nerve with its sheath by ultrasound, specifically 3 mm behind the globe, ONSD can be measured. ONSD of 5 mm roughly correlates to ICP of 20.[6] TCD-derived pulsatility index (PI) > 1.6 has been associated with higher ICP values and worse outcomes.[7] The automated Neurological Pupil index (NPi), using pupillometer, reflects pupillary reactivity. NPi values range from 0 to 5, with values < 3 being associated with poor outcome and trend with elevated ICP.[8] The Vittamed 205 (Vittamed Corporation; Lexington, Massachusetts, United States) is a relatively newer noninvasive device that uses ophthalmic artery (OA) to measure ICP comparable to invasive ICP.[9] This self-calibrating device utilizes Doppler ultrasound to evaluate OA flow. However, evidence does not yet recommend the use of these noninvasive techniques over invasive methods for real-time monitoring and treatment.[6] [10]

The Brain Trauma Foundation (BTF) guidelines (2016) recommend ICP monitoring in all salvageable patients with severe TBI and an abnormal CT scan (presence of hematomas, contusions, swelling, herniation, or compressed basal cisterns) and also in those with a normal scan and two of the three high-risk characteristics (age more than 40 years, motor posturing, and systolic blood pressure less than 90 mm Hg). The current recommendations suggest treating ICP of greater than or equal to 22 mm Hg. It has shown to reduce in-hospital and 2-week post-injury mortality.[11]

Recent emphasis is on the concept of overall burden (or dose)—duration and severity of ICP—that decides prognosis, more so if it is refractory to treatment.[12] Currently, optimal positioning of ICP probe is emphasized, especially in focal lesions with mass effect as interhemispheric variations of over 10 mm Hg are reported.[13]

In the light of current evidence, it has been suggested that treatment strategies based merely on absolute ICP number may not always be beneficial. Rather waveforms should also be simultaneously analyzed.[14] [15] [16] ICP waveforms can indicate worsening pressure dynamics via the Lundberg waves.[17] It is now recognized that management strategies can be better guided by individual patient characteristics, interpretation of both ICP values and waveform and correlating with other NM variables. There is also recent interest in converting ICP data into color-coded plots for display using computer software for early warning and accurate prognostication.[18]


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Autoregulation and Cerebral Perfusion Pressure

In a healthy brain, cerebral autoregulation (CA) acts to maintain constant CBF over a wide range of arterial blood pressure. Although deranged after ABI, CA still exists over a narrow range.[19] CPP is the principal determinant of CA. It is the net pressure gradient that drives oxygen delivery to cerebral tissue and is calculated as the difference between mean arterial pressure (MAP) and ICP. BTF (2016) guidelines recommend that CPP should be maintained between 60 and 70 mm Hg after TBI, with evidence of adverse outcomes if CPP is lower or higher.[11]

The Neuroanaesthesia Society of Great Britain and Ireland (NASGBI) and the Society of British Neurological Surgeons (SBNS) have issued a joint position statement regarding the calculation of CPP in the management of TBI. They recommend that the MAP used to calculate CPP should be the MAP estimated to exist at the level of the middle cranial fossa, which can be approximated by “positioning (zeroing) the arterial transducer at the level of the tragus of the ear.” It is also recommended that the arterial transducer is repositioned, to remain in level with the tragus, after changes in head elevation.[20] Positioning (zeroing) arterial transducers at the level of the heart during CPP-based TBI management is discouraged.

The pressure reactivity index (PRx) is one of the most established methods to assess CA continuously. It is calculated as the moving Pearson's correlation coefficient between 30 consecutive, 10-s averaged values of ICP, and arterial blood pressure over a 4-minute period and varies between −1 and +1.[21] A positive PRx (> 0.2) signifies passive reactive vascular bed, whereas a PRx < 0.2 means normal autoregulation. PRx can be used for defining individual lower and upper limits of autoregulation, thus individualizing thresholds of CPP.[22] Plotting PRx against CPP results in a U-shaped curve in many patients, and the point where the PRx is most negative represents optimal CPP, that is, the CPP range in which autoregulatory capacity is most preserved in that injured brain.[23] Abnormal autoregulation defined by PRx monitoring is also a strong predictor of mortality and functional outcome after TBI.[24]

Standard high-frequency (second by second) signal processing to calculate PRx is technically demanding, time consuming, costly, and not widely available with standard monitors. To circumvent this problem, the recent study showed that low-frequency (minute by minute) assessment of ICP and MAP can provide same robust and relevant information for autoregulation monitoring.[25] In this study, a low-frequency autoregulation index, defined as the moving 1-minute correlation of ICP and arterial blood pressure calculated over time intervals varying from 3 to 120 minutes, was able to identify an optimal CPP recommendation that is no different than that obtained using standard high-frequency methodology. Therefore, there is less data loss, easy to use, and optimal CPP identification is possible for higher proportion of monitoring time.

However, since PRx and CPPopt are still reflecting the global autoregulatory capacity of the injured brain, the heterogeneous nature of injury goes unaccounted. Clinical relevance yet needs to be established.[26]


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Cerebral Blood Flow

Alterations in CBF in association with impairment of autoregulatory reserve may cause or worsen secondary ischemic brain injury after TBI. CBF may be assessed directly or indirectly. Neuroimaging modalities particularly perfusion CT or MRI are frequently used in clinical practice for estimating CBF.[27] However, they provide a snap shot in time, whereas CBF is a dynamic process. Continuous direct monitoring of CBF would be helpful to manage acute neurologic patients.


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Transcranial Doppler

Transcranial Doppler (TCD) is a noninvasive bedside monitoring technique that can evaluate real-time CBF hemodynamics in the intracranial arterial vasculature by examining Doppler shift caused by red blood cells moving through the field of view. It has the advantages of being inexpensive, reproducible, and portable in addition to high temporal resolution.[28] The flow velocity (FV) waveform resembles an arterial pressure pulse wave, and waveform analysis permits quantification of peak systolic, end diastolic, and mean FVs. The PI, which provides an assessment of distal cerebrovascular resistance (CVR), can also be measured.[29] Based on FV signals and PI, several secondary, advanced model-based analyses of cerebral hemodynamics have been introduced, such as CA, noninvasive ICP and CPP estimation, and critical closing pressure.[30]

TCD has found its application in neurocritical care in a variety of conditions including TBI, aneurysmal SAH, stroke, and brain death. TCD has been most widely used in aneurysmal SAH for detecting vasospasm and guiding therapeutic interventions.[31] Developing or established cerebral vasospasm is diagnosed when middle cerebral artery (MCA) FV exceeds 120 to 140 cm/s or if there is more than 50 cm/s/day increase from the baseline value. For angiographic vasospasm, mean MCA FV above the threshold value of 100 cm/s and for clinical vasospasm values above 160 cm/s give the most accurate picture.[32] The sensitivity and negative predictive value of TCD for prediction of delayed cerebral ischemia (DCI) is very high (90% and 92%, respectively).[33] However, in almost 40% of patients with clinical DCI, it can show normal FV never exceeding 120 cm/s; so, it should be used cautiously rather causes other than vasospasm and inter individual variability shall be considered.[34] Newer TCD color-coded duplex sonography helps improve its predictive value by visualizing difficult to insonate vessels such as ICA and ACA.[35]


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Thermal Diffusion Flowmetry

should be used cautiously rather causes (TDF) is an invasive, quantitative method for continuous monitoring of CBF in neurocritical-care patients as it provides absolute measurements with a high temporal resolution, potentially allowing for bedside intervention that could mitigate secondary injury.[36] The commercially available system includes the Hemedex monitoring system, which is not magnetic resonance imaging (MRI) compatible.[1]

The TDF catheter consists of a thermistor heated to a few degrees above tissue temperature and a second, more proximal, temperature probe. The temperature difference between the two is a reflection of heat transfer that is converted into an absolute measurement of blood flow in mL/100 g/min. The probe is inserted in the white matter, 20 to 25 mm below the dura where the normal range of CBF is around 18 to 25 mL/100g/min.[37] Continuous monitoring of CBF with TDF and CPP allows calculation of flow-related autoregulation index.[38]

Like TCD, TDF also is a handy bedside monitor to detect vasospasm in aneurysmal SAH. Ideally, probe should be placed in white matter of the vascular territory deemed at risk for vasospasm.[37] TDF has been validated by Xenon perfusion CT, and CBF level below 15 mL/100 g/min is identified as a reliable cutoff for diagnosing symptomatic vasospasm.[37] Quantification of rCBF with TDF is highly dependent on patient's core body temperature and is significantly altered in conditions of hyperthermia.[39] Moreover, TDF provides useful data for only 30 to 40% of monitoring time because of monitor dysfunction secondary to placement errors and missing data during recalibrations.[39]


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Cerebral Oxygenation

Following neurological insult, a direct relationship between cerebral hypoxia and poor outcome has been addressed in many studies.[40] [41] Management of severe TBI based on combined ICP and brain tissue oxygenation monitoring has shown to reduce brain tissue hypoxia with a trend toward lower mortality and more favorable outcomes than only ICP-guided treatment.[42] [43] There are several invasive and noninvasive continuous methods of monitoring regional or global brain oxygenation.


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Jugular Venous Oxygen Saturation

Measurement of Jugular Venous Oxygen Saturation (SjvO2) can determine adequacy of the balance between global CBF and cerebral metabolic demands (CMRO2).[44] SjvO2 monitoring involves retrograde insertion of a fiberoptic catheter into the internal jugular vein (dominant side) and advanced cephalad beyond the inlet of the common facial vein into the jugular bulb at the base of the skull. Correct placement is confirmed when the catheter tip is level with the mastoid air cells on the lateral neck radiograph (level with the bodies of C1/C2).[45]

Ratio of CMRO2 and CBF is constant as the two are coupled under normal physiological conditions. The difference between the oxyhemoglobin saturation of cerebral arterial and mixed venous (i.e., internal jugular) blood represents the oxygen extraction. Thus, a low SjvO2 (i.e., a high oxygen extraction ratio) may indicate low CBF in relation to CMRO2. The normal range of SjvO2 is 55 to 75%.[46] In addition to measuring venous oxygen saturation, this technique allows estimation of arteriovenous oxygen content difference (a-vDO2) and lactate by intermittent sampling. Value of a-vDO2 above 9 mL/dL probably indicates global cerebral ischemia and values less than 4 mL/dL indicate hyperemia.[1]

Multiple or sustained (> 10 minutes) desaturations (SjvO2 < 50%) are associated with poor outcome in TBI patients.[47] BTF (2016) guidelines recommend maintaining SjvO2 > 50% and monitoring for arteriovenous oxygen content difference to help guide management decisions (level III).[11] SjvO2 is a global, flow-weighted measure that may miss critical regional ischemia. After early enthusiasm, its clinical use has decreased in favor of other methods of monitoring brain tissue oxygenation.[48]


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Brain Tissue Oxygen Partial Pressure

Brain tissue oxygenation pressure (PbtO2) represents the interaction between plasma oxygen tension and CBF and is useful in providing focal measurement of cerebral oxygenation.[49] In this, a micro-sensor is inserted via a skull bolt or through craniotomy into the penumbra area or frontal subcortical white matter. Two commercially available micro-sensors allow direct, continuous measurement of brain tissue gases. Licox measures brain PbtO2 using a polarographic Clarke-type electrode, whereas Neurovent-PTO uses fiberoptic technology to measure PbtO2, PbCO2, and PH. Both these sensors are approximately 0.5 mm in diameter and use thermocouple to measure brain temperature as well. A “run-in” or equilibration time of up to 30 minutes is required before readings are stable.[45]

PbtO2 is normally lower than arterial PaO2 due to the extravascular placement of probes and high metabolic activity of the brain.[50] Normal PbtO2 values range from 25 to 50 mm Hg. In the clinical setting, values of PbtO2 15 to 25 mm Hg, < 15 mm Hg, < 10 mm Hg, and < 5 mm Hg are indicative of moderate brain ischemia, critical brain ischemia, severe brain ischemia, and cell death, respectively, although PbtO2 is best interpreted in the context of duration as well as depth of ischemia.[51] Recent guidelines recommend interventions to maintain PbtO2 > 20 mm Hg after TBI.[52]

PbtO2 has most robust evidence among all cerebral oxygenation-monitoring techniques, and multiple studies have demonstrated an association between low PbtO2 and poor outcomes after TBI independent of ICP and CPP.[41] [42] [53] [54] There is recent suggestion to routinely place probe in normal appearing brain, typically in the nondominant frontal lobe.[55] As with ICP therapy, a stepwise management approach is also used for PbtO2 augmentation, which includes optimization of MAP/CPP, respiratory manipulations, and blood transfusions (in the setting of anemia). It helps select the time and type of treatment and monitoring the effects of therapeutic interventions. Some of the reported problems of this monitoring include its focal nature, trauma due to catheter insertion with subsequent gliosis, and the limited ability to adequately position and secure sensors in precise position.


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Near-Infrared Spectroscopy

Near-infrared spectroscopy (NIRS) is a noninvasive technique used for observing real-time changes in regional cerebral oxygenation at the bedside.[56] The physical principle of NIRS is based on the ability of light waves of near-infrared wavelength (i.e., 700–1,000 nm) to penetrate the scalp, skull, and brain to a depth of a few centimeters. These light waves are differentially absorbed by oxygenated hemoglobin (HbO2), deoxygenated hemoglobin (Hb), and cytochrome aa3 (CytOx). Quantification of this optical attenuation is achieved using reflectance spectroscopy based on the modified Beer-Lambert law. Measurements are obtained by placing optodes on one side of the forehead with an interoptode spacing of 4 to 7, thereby estimating oxygen content of all vascular compartments (arterial, capillary, and venous).[45] The measurements reflect relative concentrations of HbO2, Hb, and CytOx. The normal values of rSO2 are reported to be 60 to 80%. A 20% decline in rSO2 from baseline is considered an ischemic threshold.[57]

NIRS has been used to monitor patients with TBI, ICH, and in patients undergoing carotid endarterectomy. In one study in patients in the ICU following head injury, NIRS detected 97% of desaturations, whereas jugular venous oximetry detected only 53%, and NIRS was more specific and more sensitive.[58] NIRS has also been used to determine cerebrovascular pressure reactivity and optimal CPP noninvasively.[59] NIRS can be easily combined with TCD, and simultaneous use of both these modalities provides useful information about hemodynamic and metabolic cerebral adaptive status in patients with neurological insult. Recently, ultrasound-tagged NIRS for measurement of CBF has been used to monitor CA continuously during cardiac surgery.[60] NIRS technology is used in development of handheld device to screen intracranial hematomas in prehospital environment.[61] Although the future holds promise for the development of a single NIRS device with capability to noninvasively measure cerebral hemodynamics, oxygenation, and metabolism over multiple regions of interest,[62] routine NIRS monitoring is currently not recommended in adult TBI patients.[63]


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Cerebral Metabolism

Brain metabolism can be assessed by hourly microdialysis measurement of cell substrates (glucose), metabolites (lactate, pyruvate, and glycerol), and neurotransmitters (glutamate) in the extracellular fluid.[64] Cerebral microdialysis (CMD) consists of inserting a specialized catheter tipped with a semipermeable dialysis membrane, usually with a 20 kDa cutoff, in the brain parenchyma. The CMD catheter is constantly perfused with a cerebrospinal fluid-like solution, thereby allowing regular (usually every 60 minutes) sampling of patient's brain extracellular fluid into micro-vials and bedside analysis using manufacturer's device.[65] The catheter should be placed perilesionally in focal brain injuries, in the right frontal region for diffuse TBI, and in ACA-MCA watershed region or region of vasospasm on the side of aneurysm rupture for SAH.[66] Glucose < 0.8 mM and lactate-to-pyruvate ratio (LPR) > 40 warrant intervention.[67] Elevated LPR precedes clinical DCI by 11 to 13 hours in SAH patients.[68] CMD detects early hypoxia and ischemia and increases the therapeutic window to avoid secondary lesion.

CMD has been applied to patients in many different clinical situations, including TBI, SAH, epilepsy, ischemic stroke, tumors, and during neurosurgery.[69] Recently, it has been instrumental in identifying hyperglycolysis and increased glucose utilization post-TBI.[70] Combined monitoring of CMD and systemic glucose is, therefore, helpful in individualizing glucose targets.[71] CMD can distinguish ischemic from nonischemic hypoxia. Increased LPR in the presence of low pyruvate suggests ischemia, whereas in the presence of normal pyruvate, it suggests nonischemic etiology such as mitochondrial dysfunction.[67] Recent interests are in exploring the usefulness of CMD during neuroprotective drug trials.[72] Recently, a continuous rapid sampling CMD has also been described for research use; however, it is not yet available for clinical purpose.[29] CMD has contributed substantially to our understanding of the pathophysiology of brain injury, but its clinical utility is still debated and there are very little data to confirm whether CMD-guided therapy can influence outcomes. Although primarily a research tool at this point, CMD is complimentary with other NM modalities.


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Electroencephalography

Seizures occur in 20 to 40% of TBI patients, and early detection and treatment are crucial to minimize the burden of seizure-related secondary injury.[44] More importantly, neurocritical care comatose patients often (4–30%) have nonconvulsive seizures (NCS) that are difficult to diagnose clinically.[73] Intermittent EEG monitoring has a sensitivity of only 50% to diagnose NCS compared to over 90% when continuous electroencephalography (cEEG) is performed for 48 hours. Invasive EEG monitoring using subdural strip or intracortical depth electrodes allows detection of seizures that are not visible on standard (scalp) EEG monitoring.[74] Cortical spreading depolarization (CSD) and quantitative EEG (qEEG)–derived indices such as the alpha power or the alpha/delta ratio can be used to detect DCI in poor-grade SAH and severe stroke patients.[68] [75]

Integration of continuous EEG into NM strategies identifies associations between seizures, intracranial hypertension, and cerebral metabolic derangements, and offers prognostic information.[76] [77] Current multimodal NM guidelines recommend EEG in all patients with ABI and unexplained altered consciousness and in patients with convulsive status epilepticus who do not return to baseline within 60 minutes after medication, during therapeutic hypothermia, and within 24 hours after rewarming.[75]


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Somatosensory Evoked Potential

Continuous somatosensory evoked potential (SSEP) monitoring is able to detect neurological deterioration after ABI and is used for the purpose of prognostication.[78] A bilateral absent cortical SSEP response is a strong predictor for poor neurological outcome in patients with a postanoxic coma.[78] Prolongation of the central conduction time (CCT) in comatose patients has been associated with worse long-term prognosis. The CCT is the difference between the latencies of the responses recorded over the cervical spine and that recorded over the sensory cortex. In SAH, prolongation of the CCT is associated with transient neurological deficit, and it precedes the development of these deficits.[78] The changes in CCT are related to cerebral ischemia.[79]


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Biomarkers

Biomarkers, as NM tool, are used for diagnosis and prognosis of neurological diseases and can be qualitative and quantitative cerebral damage markers.[80] They may be present in blood, CSF, or saliva. They can predict pathophysiology, response to treatment, and side effects. In TBI, markers such as S100β, UCHL-1, and glial fibrillary acid protein (GFAP) are used as surrogate markers of imaging to reduce cost and exposure to radiation.[80] Use of S100β-like markers has already been integrated into some clinical guidelines to stratify patients for CT imaging during the acute phase, although not widely accepted.[81] Markers such as S100β and neuron-specific enolase (NSE) directly relate to the extent of brain damage after the event.[80] Risk of posttraumatic epilepsy (PTE) can be predicted by markers such as IL1-B gene in conjunction with EEG.[80] Postinjury cognitive decline can be predicted by markers such as Tau protein.[80]


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Integrating Multimodality Neuromonitoring

Recent clinical investigations by several independent groups show feasibility and utility of brain multimodality NM. The aim of this is not to add new variables for an intensivist to chase but to integrate information from multiple modalities to formulate a patient-specific “injury profile” that will guide formulation of an optimal treatment plan. Because of the number and complexity of monitored physiological variables and the interplay between them, computational analysis and integration of data are essential prerequisites for the presentation of user-friendly and clinically relevant information at the bedside.[82] Commercial systems are available to process and display multiple data streams although these can be individualized based on the needs of individual institutions or researchers.


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Future Directions

Future goals should be directed to integrate multiple NM monitoring and development of computer-assisted methods so that even diverse range of data from all these modalities can be interpreted with greater accuracy, thus facilitating appropriate decision making for patient management. We may consider incorporating patient demographics and imaging to the multimodality NM to make it more individualized. Emphasis should also be stressed on development of user friendly, bedside devices for rapid diagnosis of cerebral physiological alterations ahead of major neurological insults. We are still looking out for impact of multimodal NM on the clinical outcome. Collaboration of large international databases, prospectively collected from standardized observational studies for comparative effectiveness, is the need of the hour. Examination of not just neuromonitors but titrating these with management strategies based on data so acquired will have to be done. This will open doors to better therapeutic options.


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Conclusion

There is ample evidence to suggest superiority of multimodal NM over individual NM parameters. The focus is toward individualized targeted treatment based on real-time physiological parameters obtained by various continuous NM devices. There is an automatic cross-validation set between different variables that increases the confidence of treat-ment decision making. Recent technological advances in multimodal NM are taking place gradually, which aim to make these more user friendly, are able to acquire faster and precise data in accordance with patient clinical condition, are able to predict outcome, and are available to wide group of neurointensivists. High-quality outcome studies are still crucial for its widespread implementation and acceptability.


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Conflict of Interest

None declared.

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  • 1 Tasneem N, Samaniego EA, Pieper C. et al. Brain multimodality monitoring: a new tool in neurocritical care of comatose patients. Crit Care Res Pract 2017; 2017: 6097265
  • 2 Sharshar T, Citerio G, Andrews PJ. et al. Neurological examination of critically ill patients: a pragmatic approach. Report of an ESICM expert panel. Intensive Care Med 2014; 40 (04) 484-495
  • 3 Suys T, Bouzat P, Marques-Vidal P. et al. Automated quantitative pupillometry for the prognostication of coma after cardiac arrest. Neurocrit Care 2014; 21 (02) 300-308
  • 4 Balestreri M, Czosnyka M, Steiner LA. et al. Intracranial hypertension: what additional information can be derived from ICP waveform after head injury?. Acta Neurochir (Wien) 2004; 146 (02) 131-141
  • 5 Prabhakar H, Sandhu K, Bhagat H, Durga P, Chawla R. Current concepts of optimal cerebral perfusion pressure in traumatic brain injury. J Anaesthesiol Clin Pharmacol 2014; 30 (03) 318-327
  • 6 Kristiansson H, Nissborg E, Bartek Jr J, Andresen M, Reinstrup P, Romner B. Measuring elevated intracranial pressure through noninvasive methods: a review of the literature. J Neurosurg Anesthesiol 2013; 25 (04) 372-385
  • 7 Bellner J, Romner B, Reinstrup P, Kristiansson KA, Ryding E, Brandt L. Transcranial Doppler sonography pulsatility index (PI) reflects intracranial pressure (ICP). Surg Neurol 2004; 62 (01) 45-51 discussion 51
  • 8 Chen JW, Gombart ZJ, Rogers S, Gardiner SK, Cecil S, Bullock RM. Pupillary reactivity as an early indicator of increased intracranial pressure: the introduction of the Neurological Pupil index. Surg Neurol Int 2011; 2: 82
  • 9 Kienzler JC, Zakelis R, Bäbler S, Remonda E, Ragauskas A, Fandino J. Validation of noninvasive absolute intracranial pressure measurements in traumatic brain injury and intracranial hemorrhage. Oper Neurosurg (Hagerstown) 2019; 16 (02) 186-196
  • 10 Zhang X, Medow JE, Iskandar BJ. et al Invasive and noninvasive means of measuring intracranial pressure: a review. Physiol Meas 2017; 38 (08) R143-R182
  • 11 Carney N, Totten AM, O'Reilly C. et al Guidelines for the Management of Severe Traumatic Brain Injury, Fourth Edition. Neurosurgery 2017; 80 (01) 6-15
  • 12 Kahraman S, Dutton RP, Hu P. et al Automated measurement of “pressure times time dose” of intracranial hypertension best predicts outcome after severe traumatic brain injury. J Trauma 2010; 69 (01) 110-118
  • 13 Zacchetti L, Magnoni S, Di Corte F, Zanier ER, Stocchetti N. Accuracy of intracranial pressure monitoring: systematic review and meta-analysis. Crit Care 2015; 19: 420
  • 14 Chesnut RM, Temkin N, Carney N. et al; Global Neurotrauma Research Group. A trial of intracranial-pressure monitoring in traumatic brain injury. N Engl J Med 2012; 367 (26) 2471-2481
  • 15 Aiolfi A, Benjamin E, Khor D, Inaba K, Lam L, Demetriades D. Brain trauma foundation guidelines for intracranial pressure monitoring: compliance and effect on outcome. World J Surg 2017; 41 (06) 1543-1549
  • 16 Bennett TD, DeWitt PE, Greene TH. et al Functional outcome after intracranial pressure monitoring for children with severe traumatic brain injury. JAMA Pediatr 2017; 171 (10) 965-971
  • 17 Asgari S, Bergsneider M, Hamilton R, Vespa P, Hu X. Consistent changes in intracranial pressure waveform morphology induced by acute hypercapnic cerebral vasodilatation. Neurocrit Care 2011; 15 (01) 55-62
  • 18 Güiza 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 (06) 1067-1076
  • 19 Czosnyka M, Miller C. Participants in the International Multidisciplinary Consensus Conference on Multimodality Monitoring. Monitoring of cerebral autoregulation. Neurocrit Care 2014; 21 (Suppl. 02) S95-S102
  • 20 Thomas E, Czosnyka M, Hutchinson P. NACCS; SBNS. Calculation of cerebral perfusion pressure in the management of traumatic brain injury: joint position statement by the councils of the Neuroanaesthesia and Critical Care Society of Great Britain and Ireland (NACCS) and the Society of British Neurological Surgeons (SBNS). Br J Anaesth 2015; 115 (04) 487-488
  • 21 Aries MJ, Czosnyka M, Budohoski KP. et al Continuous determination of optimal cerebral perfusion pressure in traumatic brain injury. Crit Care Med 2012; 40 (08) 2456-2463
  • 22 Donnelly J, Czosnyka M, Adams H. et al Individualizing thresholds of cerebral perfusion pressure using estimated limits of autoregulation. Crit Care Med 2017; 45 (09) 1464-1471
  • 23 Dias C, Silva MJ, Pereira E. et al Optimal cerebral perfusion pressure management at bedside: a single-center pilot study. Neurocrit Care 2015; 23 (01) 92-102
  • 24 Rivera-Lara L, Zorrilla-Vaca A, Geocadin R. et al Predictors of outcome with cerebral autoregulation monitoring: a systematic review and meta-analysis. Crit Care Med 2017; 45 (04) 695-704
  • 25 Depreitere B, Güiza F, Van den Berghe G. et al Pressure autoregulation monitoring and cerebral perfusion pressure target recommendation in patients with severe traumatic brain injury based on minute-by-minute monitoring data. J Neurosurg 2014; 120 (06) 1451-1457
  • 26 Needham E, McFadyen C, Newcombe V, Synnot AJ, Czosnyka M, Menon D. Cerebral perfusion pressure targets individualized to pressure-reactivity index in moderate to severe traumatic brain injury: a systematic review. J Neurotrauma 2017; 34 (05) 963-970
  • 27 Roh D, Park S. Brain multimodality monitoring: updated perspectives. Curr Neurol Neurosci Rep 2016; 16 (06) 56
  • 28 Aaslid R, Markwalder TM, Nornes H. Noninvasive transcranial Doppler ultrasound recording of flow velocity in basal cerebral arteries. J Neurosurg 1982; 57 (06) 769-774
  • 29 Kirkman MA, Smith M. Multimodality Neuromonitoring. Anesthesiol Clin 2016; 34 (03) 511-523
  • 30 Varsos GV, Kasprowicz M, Smielewski P, Czosnyka M. Model-based indices describing cerebrovascular dynamics. Neurocrit Care 2014; 20 (01) 142-157
  • 31 Robba C, Cardim D, Sekhon M, Budohoski K, Czosnyka M. Transcranial Doppler: a stethoscope for the brain-neurocritical care use. J. Neurosci Res 2018; 96 (04) 720-730
  • 32 Mascia L, Fedorko L, terBrugge K. et al The accuracy of transcranial Doppler to detect vasospasm in patients with aneurysmal subarachnoid hemorrhage. Intensive Care Med 2003; 29 (07) 1088-1094
  • 33 Kumar G, Shahripour RB, Harrigan MR. Vasospasm on transcranial Doppler is predictive of delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage: a systematic review and meta-analysis. J Neurosurg 2016; 124 (05) 1257-1264
  • 34 Carrera E, Schmidt JM, Oddo M. et al Transcranial Doppler for predicting delayed cerebral ischemia after subarachnoid hemorrhage. Neurosurgery 2009; 65 (02) 316-323 discussion 323-324
  • 35 Proust F, Callonec F, Clavier E. et al. Usefulness of transcranial color-coded sonography in the diagnosis of cerebral vasospasm. Stroke 1999; 30 (05) 1091-1098
  • 36 Mathieu F, Khellaf A, Thelin EP, Zeiler FA. Continuous thermal diffusion-based cerebral blood flow monitoring in adult traumatic brain injury: a scoping systematic review. J Neurotrauma. 2019 [Epub ahead of print]
  • 37 Vajkoczy P, Horn P, Thome C, Munch E, Schmiedek P. Regional cerebral blood flow monitoring in the diagnosis of delayed ischemia following aneurysmal subarachnoid hemorrhage. J Neurosurg 2003; 98 (06) 1227-1234
  • 38 Hecht N, Fiss I, Wolf S, Barth M, Vajkoczy P, Woitzik J. Modified flow- and oxygen-related autoregulation indices for continuous monitoring of cerebral autoregulation. J Neurosci Methods 2011; 201 (02) 399-403
  • 39 Akbik OS, Carlson AP, Krasberg M, Yonas H. The utility of cerebral blood flow assessment in TBI. Curr Neurol Neurosci Rep 2016; 16 (08) 72
  • 40 Yan EB, Satgunaseelan L, Paul E. et al Post-traumatic hypoxia is associated with prolonged cerebral cytokine production, higher serum biomarker levels, and poor outcome in patients with severe traumatic brain injury. J Neurotrauma 2014; 31 (07) 618-629
  • 41 Oddo M, Levine JM, Mackenzie L. et al Brain hypoxia is associated with short-term outcome after severe traumatic brain injury independently of intracranial hypertension and low cerebral perfusion pressure. Neurosurgery 2011; 69 (05) 1037-1045 discussion 1045
  • 42 Narotam PK, Morrison JF, Nathoo N. Brain tissue oxygen monitoring in traumatic brain injury and major trauma: outcome analysis of a brain tissue oxygen-directed therapy. J Neurosurg 2009; 111 (04) 672-682
  • 43 Okonkwo DO, Shutter LA, Moore C, Temkin NR, Puccio AM. Brain oxygen optimization in severe traumatic brain injury phase-II: a phase II randomized trial. Crit Care Med 2017; 45 (11) 1907-1914
  • 44 Smith M. Multimodality neuromonitoring in adult traumatic brain injury: a narrative review. Anesthesiology 2018; 128 (02) 401-415
  • 45 Bhatia A, Gupta AK. Neuromonitoring in the intensive care unit. II. Cerebral oxygenation monitoring and microdialysis. Intensive Care Med 2007; 33 (08) 1322-1328
  • 46 Bhardwaj A, Bhagat H, Grover VK. Jugular venous oximetry. J Neuroanaesth Crit Care 2015; 2: 225-231
  • 47 Cruz J. On-line monitoring of global cerebral hypoxia in acute brain injury. Relationship to intracranial hypertension. J Neurosurg 1993; 79 (02) 228-233
  • 48 Stocchetti N, Magnoni S, Zanier ER. My paper 20 years later: cerebral venous oxygen saturation studied with bilateral samples in the internal jugular veins. Intensive Care Med 2015; 41 (03) 412-417
  • 49 Rosenthal G, Hemphill III JC, Sorani M. et al Brain tissue oxygen tension is more indicative of oxygen diffusion than oxygen delivery and metabolism in patients with traumatic brain injury. Crit Care Med 2008; 36 (06) 1917-1924
  • 50 Maas AI, Fleckenstein W, de Jong DA, van Santbrink H. Monitoring cerebral oxygenation: experimental studies and preliminary clinical results of continuous monitoring of cerebrospinal fluid and brain tissue oxygen tension. Acta Neurochir Suppl (Wien) 1993; 59: 50-57
  • 51 Oddo M, Le Roux PD. Brain oxygen. In: Le Roux PD, Levine JM, Koftke WA. eds. Monitoring in Neurocritical Care. Philadelphia, PA: Elsevier; 2013: 348-355
  • 52 Oddo M, Bösel J. Participants in the International Multidisciplinary Consensus Conference on Multimodality Monitoring. Monitoring of brain and systemic oxygenation in neurocritical care patients. Neurocrit Care 2014; 21 (Suppl. 02) S103-S120
  • 53 Lin CM, Lin MC, Huang SJ. et al A prospective randomized study of brain tissue oxygen pressure-guided management in moderate and severe traumatic brain injury patients. BioMed Res Int 2015; 2015: 529580
  • 54 Spiotta AM, Stiefel MF, Gracias VH. et al. Brain tissue oxygen-directed management and outcome in patients with severe traumatic brain injury. J Neurosurg 2010; 113 (03) 571-580
  • 55 Ponce LL, Pillai S, Cruz J. et al Position of probe determines prognostic information of brain tissue PO2 in severe traumatic brain injury. Neurosurgery 2012; 70 (06) 1492-1502 discussion 1502-1503
  • 56 Mahajan C, Rath GP, Bithal PK. Advances in neuro-monitoring. Anesth Essays Res 2013; 7 (03) 312-318
  • 57 Palanca AA, Yang A, Bishop JA. Near-infrared spectroscopy. PM R 2016; 8 (03) 221-224
  • 58 Kirkpatrick PJ, Smielewski P, Czosnyka M, Menon DK, Pickard JD. Near-infrared spectroscopy use in patients with head injury. J Neurosurg 1995; 83 (06) 963-970
  • 59 Zweifel C, Castellani G, Czosnyka M. et al Noninvasive monitoring of cerebrovascular reactivity with near infrared spectroscopy in head-injured patients. J Neurotrauma 2010; 27 (11) 1951-1958
  • 60 Hori D, Hogue Jr CW, Shah A. et al. Cerebral autoregulation monitoring with ultrasound-tagged near-infrared spectroscopy in cardiac surgery patients. Anesth Analg 2015; 121 (05) 1187-1193
  • 61 Ghosh A, Elwell C, Smith M. Review article: cerebral near-infrared spectroscopy in adults: a work in progress. Anesth Analg 2012; 115 (06) 1373-1383
  • 62 Elwell CE, Cooper CE. Making light work: illuminating the future of biomedical optics. Philos Trans A Math Phys Eng Sci 2011; 369 (1955) 4358-4379
  • 63 Weigl W, Milej D, Janusek D. et al Application of optical methods in the monitoring of traumatic brain injury: a review. J Cereb Blood Flow Metab 2016; 36 (11) 1825-1843
  • 64 Bellander BM, Cantais E, Enblad P. et al Consensus meeting on microdialysis in neurointensive care. Intensive Care Med 2004; 30 (12) 2166-2169
  • 65 Hillered L, Vespa PM, Hovda DA. Translational neurochemical research in acute human brain injury: the current status and potential future for cerebral microdialysis. J Neurotrauma 2005; 22 (01) 3-41
  • 66 Hutchinson PJ, Jalloh I, Helmy A. et al Consensus statement from the 2014 International Microdialysis Forum. Intensive Care Med 2015; 41 (09) 1517-1528
  • 67 Timofeev I, Carpenter KL, Nortje J. et al Cerebral extracellular chemistry and outcome following traumatic brain injury: a microdialysis study of 223 patients. Brain 2011; 134 (Pt 2) 484-494
  • 68 Roh DJ, Morris NA, Claassen J. Intracranial multimodality monitoring for delayed cerebral ischemia. J. Clin Neurophysiol 2016; 33 (03) 241-249
  • 69 Peerdeman SM, Girbes AR, Vandertop WP. Cerebral microdialysis as a new tool for neurometabolic monitoring. Intensive Care Med 2000; 26 (06) 662-669
  • 70 Glenn TC, Kelly DF, Boscardin WJ. et al Energy dysfunction as a predictor of outcome after moderate or severe head injury: indices of oxygen, glucose, and lactate metabolism. J Cereb Blood Flow Metab 2003; 23 (10) 1239-1250
  • 71 Vespa P, McArthur DL, Stein N. et al Tight glycemic control increases metabolic distress in traumatic brain injury: a randomized controlled within-subjects trial. Crit Care Med 2012; 40 (06) 1923-1929
  • 72 Rogers ML, Leong CL, Gowers SA. et al Simultaneous monitoring of potassium, glucose and lactate during spreading depolarization in the injured human brain—proof of principle of a novel real-time neurochemical analysis system, continuous online microdialysis. J Cereb Blood Flow Metab 2017; 37 (05) 1883-1895
  • 73 Friedman D, Claassen J, Hirsch LJ. Continuous electroencephalogram monitoring in the intensive care unit. Anesth Analg 2009; 109 (02) 506-523
  • 74 Hartings JA, Bullock MR, Okonkwo DO. et al; Co-Operative Study on Brain Injury Depolarisations. Spreading depolarisations and outcome after traumatic brain injury: a prospective observational study. Lancet Neurol 2011; 10 (12) 1058-1064
  • 75 Le Roux P, Menon DK, Citerio G. et al Neurocritical Care Society; European Society of Intensive Care Medicine. Consensus summary statement of the international multidisciplinary consensus conference on multimodality monitoring in neurocritical care: a statement for healthcare professionals from the Neurocritical Care Society and the European Society of Intensive Care Medicine. Intensive Care Med 2014; 40 (09) 1189-1209
  • 76 Vespa PM, Miller C, McArthur D. et al Nonconvulsive electrographic seizures after traumatic brain injury result in a delayed, prolonged increase in intracranial pressure and metabolic crisis. Crit Care Med 2007; 35 (12) 2830-2836
  • 77 Korbakis G, Vespa PM. Multimodal neurologic monitoring. Handb Clin Neurol 2017; 140: 91-105
  • 78 Singh G. Somatosensory evoked potential monitoring. J Neuroanaesth Crit Care 2016; 3: 97-104
  • 79 Amantini A, Carrai R, Lori S. et al Neurophysiological monitoring in adult and pediatric intensive care. Minerva Anestesiol 2012; 78 (09) 1067-1075
  • 80 Dadas A, Washington J, Diaz-Arrastia R, Janigro D. Biomarkers in traumatic brain injury (TBI): a review. Neuropsychiatr Dis Treat 2018; 14: 2989-3000
  • 81 Undén L, Calcagnile O, Undén J, Reinstrup P, Bazarian J. Validation of the Scandinavian guidelines for initial management of minimal, mild and moderate traumatic brain injury in adults. BMC Med 2015; 13 (01) 292
  • 82 Hemphill JC, Andrews P, De Georgia M. Multimodal monitoring and neurocritical care bioinformatics. Nat. Rev Neurol 2011; 7 (08) 451-460

Address for correspondence

Keshav Goyal, MD, DM
Department of Neuroanaesthesiology and Critical Care
710, Neurosciences Centre, All India Institute of Medical Sciences (AIIMS), New Delhi 110029
India   

  • References

  • 1 Tasneem N, Samaniego EA, Pieper C. et al. Brain multimodality monitoring: a new tool in neurocritical care of comatose patients. Crit Care Res Pract 2017; 2017: 6097265
  • 2 Sharshar T, Citerio G, Andrews PJ. et al. Neurological examination of critically ill patients: a pragmatic approach. Report of an ESICM expert panel. Intensive Care Med 2014; 40 (04) 484-495
  • 3 Suys T, Bouzat P, Marques-Vidal P. et al. Automated quantitative pupillometry for the prognostication of coma after cardiac arrest. Neurocrit Care 2014; 21 (02) 300-308
  • 4 Balestreri M, Czosnyka M, Steiner LA. et al. Intracranial hypertension: what additional information can be derived from ICP waveform after head injury?. Acta Neurochir (Wien) 2004; 146 (02) 131-141
  • 5 Prabhakar H, Sandhu K, Bhagat H, Durga P, Chawla R. Current concepts of optimal cerebral perfusion pressure in traumatic brain injury. J Anaesthesiol Clin Pharmacol 2014; 30 (03) 318-327
  • 6 Kristiansson H, Nissborg E, Bartek Jr J, Andresen M, Reinstrup P, Romner B. Measuring elevated intracranial pressure through noninvasive methods: a review of the literature. J Neurosurg Anesthesiol 2013; 25 (04) 372-385
  • 7 Bellner J, Romner B, Reinstrup P, Kristiansson KA, Ryding E, Brandt L. Transcranial Doppler sonography pulsatility index (PI) reflects intracranial pressure (ICP). Surg Neurol 2004; 62 (01) 45-51 discussion 51
  • 8 Chen JW, Gombart ZJ, Rogers S, Gardiner SK, Cecil S, Bullock RM. Pupillary reactivity as an early indicator of increased intracranial pressure: the introduction of the Neurological Pupil index. Surg Neurol Int 2011; 2: 82
  • 9 Kienzler JC, Zakelis R, Bäbler S, Remonda E, Ragauskas A, Fandino J. Validation of noninvasive absolute intracranial pressure measurements in traumatic brain injury and intracranial hemorrhage. Oper Neurosurg (Hagerstown) 2019; 16 (02) 186-196
  • 10 Zhang X, Medow JE, Iskandar BJ. et al Invasive and noninvasive means of measuring intracranial pressure: a review. Physiol Meas 2017; 38 (08) R143-R182
  • 11 Carney N, Totten AM, O'Reilly C. et al Guidelines for the Management of Severe Traumatic Brain Injury, Fourth Edition. Neurosurgery 2017; 80 (01) 6-15
  • 12 Kahraman S, Dutton RP, Hu P. et al Automated measurement of “pressure times time dose” of intracranial hypertension best predicts outcome after severe traumatic brain injury. J Trauma 2010; 69 (01) 110-118
  • 13 Zacchetti L, Magnoni S, Di Corte F, Zanier ER, Stocchetti N. Accuracy of intracranial pressure monitoring: systematic review and meta-analysis. Crit Care 2015; 19: 420
  • 14 Chesnut RM, Temkin N, Carney N. et al; Global Neurotrauma Research Group. A trial of intracranial-pressure monitoring in traumatic brain injury. N Engl J Med 2012; 367 (26) 2471-2481
  • 15 Aiolfi A, Benjamin E, Khor D, Inaba K, Lam L, Demetriades D. Brain trauma foundation guidelines for intracranial pressure monitoring: compliance and effect on outcome. World J Surg 2017; 41 (06) 1543-1549
  • 16 Bennett TD, DeWitt PE, Greene TH. et al Functional outcome after intracranial pressure monitoring for children with severe traumatic brain injury. JAMA Pediatr 2017; 171 (10) 965-971
  • 17 Asgari S, Bergsneider M, Hamilton R, Vespa P, Hu X. Consistent changes in intracranial pressure waveform morphology induced by acute hypercapnic cerebral vasodilatation. Neurocrit Care 2011; 15 (01) 55-62
  • 18 Güiza 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 (06) 1067-1076
  • 19 Czosnyka M, Miller C. Participants in the International Multidisciplinary Consensus Conference on Multimodality Monitoring. Monitoring of cerebral autoregulation. Neurocrit Care 2014; 21 (Suppl. 02) S95-S102
  • 20 Thomas E, Czosnyka M, Hutchinson P. NACCS; SBNS. Calculation of cerebral perfusion pressure in the management of traumatic brain injury: joint position statement by the councils of the Neuroanaesthesia and Critical Care Society of Great Britain and Ireland (NACCS) and the Society of British Neurological Surgeons (SBNS). Br J Anaesth 2015; 115 (04) 487-488
  • 21 Aries MJ, Czosnyka M, Budohoski KP. et al Continuous determination of optimal cerebral perfusion pressure in traumatic brain injury. Crit Care Med 2012; 40 (08) 2456-2463
  • 22 Donnelly J, Czosnyka M, Adams H. et al Individualizing thresholds of cerebral perfusion pressure using estimated limits of autoregulation. Crit Care Med 2017; 45 (09) 1464-1471
  • 23 Dias C, Silva MJ, Pereira E. et al Optimal cerebral perfusion pressure management at bedside: a single-center pilot study. Neurocrit Care 2015; 23 (01) 92-102
  • 24 Rivera-Lara L, Zorrilla-Vaca A, Geocadin R. et al Predictors of outcome with cerebral autoregulation monitoring: a systematic review and meta-analysis. Crit Care Med 2017; 45 (04) 695-704
  • 25 Depreitere B, Güiza F, Van den Berghe G. et al Pressure autoregulation monitoring and cerebral perfusion pressure target recommendation in patients with severe traumatic brain injury based on minute-by-minute monitoring data. J Neurosurg 2014; 120 (06) 1451-1457
  • 26 Needham E, McFadyen C, Newcombe V, Synnot AJ, Czosnyka M, Menon D. Cerebral perfusion pressure targets individualized to pressure-reactivity index in moderate to severe traumatic brain injury: a systematic review. J Neurotrauma 2017; 34 (05) 963-970
  • 27 Roh D, Park S. Brain multimodality monitoring: updated perspectives. Curr Neurol Neurosci Rep 2016; 16 (06) 56
  • 28 Aaslid R, Markwalder TM, Nornes H. Noninvasive transcranial Doppler ultrasound recording of flow velocity in basal cerebral arteries. J Neurosurg 1982; 57 (06) 769-774
  • 29 Kirkman MA, Smith M. Multimodality Neuromonitoring. Anesthesiol Clin 2016; 34 (03) 511-523
  • 30 Varsos GV, Kasprowicz M, Smielewski P, Czosnyka M. Model-based indices describing cerebrovascular dynamics. Neurocrit Care 2014; 20 (01) 142-157
  • 31 Robba C, Cardim D, Sekhon M, Budohoski K, Czosnyka M. Transcranial Doppler: a stethoscope for the brain-neurocritical care use. J. Neurosci Res 2018; 96 (04) 720-730
  • 32 Mascia L, Fedorko L, terBrugge K. et al The accuracy of transcranial Doppler to detect vasospasm in patients with aneurysmal subarachnoid hemorrhage. Intensive Care Med 2003; 29 (07) 1088-1094
  • 33 Kumar G, Shahripour RB, Harrigan MR. Vasospasm on transcranial Doppler is predictive of delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage: a systematic review and meta-analysis. J Neurosurg 2016; 124 (05) 1257-1264
  • 34 Carrera E, Schmidt JM, Oddo M. et al Transcranial Doppler for predicting delayed cerebral ischemia after subarachnoid hemorrhage. Neurosurgery 2009; 65 (02) 316-323 discussion 323-324
  • 35 Proust F, Callonec F, Clavier E. et al. Usefulness of transcranial color-coded sonography in the diagnosis of cerebral vasospasm. Stroke 1999; 30 (05) 1091-1098
  • 36 Mathieu F, Khellaf A, Thelin EP, Zeiler FA. Continuous thermal diffusion-based cerebral blood flow monitoring in adult traumatic brain injury: a scoping systematic review. J Neurotrauma. 2019 [Epub ahead of print]
  • 37 Vajkoczy P, Horn P, Thome C, Munch E, Schmiedek P. Regional cerebral blood flow monitoring in the diagnosis of delayed ischemia following aneurysmal subarachnoid hemorrhage. J Neurosurg 2003; 98 (06) 1227-1234
  • 38 Hecht N, Fiss I, Wolf S, Barth M, Vajkoczy P, Woitzik J. Modified flow- and oxygen-related autoregulation indices for continuous monitoring of cerebral autoregulation. J Neurosci Methods 2011; 201 (02) 399-403
  • 39 Akbik OS, Carlson AP, Krasberg M, Yonas H. The utility of cerebral blood flow assessment in TBI. Curr Neurol Neurosci Rep 2016; 16 (08) 72
  • 40 Yan EB, Satgunaseelan L, Paul E. et al Post-traumatic hypoxia is associated with prolonged cerebral cytokine production, higher serum biomarker levels, and poor outcome in patients with severe traumatic brain injury. J Neurotrauma 2014; 31 (07) 618-629
  • 41 Oddo M, Levine JM, Mackenzie L. et al Brain hypoxia is associated with short-term outcome after severe traumatic brain injury independently of intracranial hypertension and low cerebral perfusion pressure. Neurosurgery 2011; 69 (05) 1037-1045 discussion 1045
  • 42 Narotam PK, Morrison JF, Nathoo N. Brain tissue oxygen monitoring in traumatic brain injury and major trauma: outcome analysis of a brain tissue oxygen-directed therapy. J Neurosurg 2009; 111 (04) 672-682
  • 43 Okonkwo DO, Shutter LA, Moore C, Temkin NR, Puccio AM. Brain oxygen optimization in severe traumatic brain injury phase-II: a phase II randomized trial. Crit Care Med 2017; 45 (11) 1907-1914
  • 44 Smith M. Multimodality neuromonitoring in adult traumatic brain injury: a narrative review. Anesthesiology 2018; 128 (02) 401-415
  • 45 Bhatia A, Gupta AK. Neuromonitoring in the intensive care unit. II. Cerebral oxygenation monitoring and microdialysis. Intensive Care Med 2007; 33 (08) 1322-1328
  • 46 Bhardwaj A, Bhagat H, Grover VK. Jugular venous oximetry. J Neuroanaesth Crit Care 2015; 2: 225-231
  • 47 Cruz J. On-line monitoring of global cerebral hypoxia in acute brain injury. Relationship to intracranial hypertension. J Neurosurg 1993; 79 (02) 228-233
  • 48 Stocchetti N, Magnoni S, Zanier ER. My paper 20 years later: cerebral venous oxygen saturation studied with bilateral samples in the internal jugular veins. Intensive Care Med 2015; 41 (03) 412-417
  • 49 Rosenthal G, Hemphill III JC, Sorani M. et al Brain tissue oxygen tension is more indicative of oxygen diffusion than oxygen delivery and metabolism in patients with traumatic brain injury. Crit Care Med 2008; 36 (06) 1917-1924
  • 50 Maas AI, Fleckenstein W, de Jong DA, van Santbrink H. Monitoring cerebral oxygenation: experimental studies and preliminary clinical results of continuous monitoring of cerebrospinal fluid and brain tissue oxygen tension. Acta Neurochir Suppl (Wien) 1993; 59: 50-57
  • 51 Oddo M, Le Roux PD. Brain oxygen. In: Le Roux PD, Levine JM, Koftke WA. eds. Monitoring in Neurocritical Care. Philadelphia, PA: Elsevier; 2013: 348-355
  • 52 Oddo M, Bösel J. Participants in the International Multidisciplinary Consensus Conference on Multimodality Monitoring. Monitoring of brain and systemic oxygenation in neurocritical care patients. Neurocrit Care 2014; 21 (Suppl. 02) S103-S120
  • 53 Lin CM, Lin MC, Huang SJ. et al A prospective randomized study of brain tissue oxygen pressure-guided management in moderate and severe traumatic brain injury patients. BioMed Res Int 2015; 2015: 529580
  • 54 Spiotta AM, Stiefel MF, Gracias VH. et al. Brain tissue oxygen-directed management and outcome in patients with severe traumatic brain injury. J Neurosurg 2010; 113 (03) 571-580
  • 55 Ponce LL, Pillai S, Cruz J. et al Position of probe determines prognostic information of brain tissue PO2 in severe traumatic brain injury. Neurosurgery 2012; 70 (06) 1492-1502 discussion 1502-1503
  • 56 Mahajan C, Rath GP, Bithal PK. Advances in neuro-monitoring. Anesth Essays Res 2013; 7 (03) 312-318
  • 57 Palanca AA, Yang A, Bishop JA. Near-infrared spectroscopy. PM R 2016; 8 (03) 221-224
  • 58 Kirkpatrick PJ, Smielewski P, Czosnyka M, Menon DK, Pickard JD. Near-infrared spectroscopy use in patients with head injury. J Neurosurg 1995; 83 (06) 963-970
  • 59 Zweifel C, Castellani G, Czosnyka M. et al Noninvasive monitoring of cerebrovascular reactivity with near infrared spectroscopy in head-injured patients. J Neurotrauma 2010; 27 (11) 1951-1958
  • 60 Hori D, Hogue Jr CW, Shah A. et al. Cerebral autoregulation monitoring with ultrasound-tagged near-infrared spectroscopy in cardiac surgery patients. Anesth Analg 2015; 121 (05) 1187-1193
  • 61 Ghosh A, Elwell C, Smith M. Review article: cerebral near-infrared spectroscopy in adults: a work in progress. Anesth Analg 2012; 115 (06) 1373-1383
  • 62 Elwell CE, Cooper CE. Making light work: illuminating the future of biomedical optics. Philos Trans A Math Phys Eng Sci 2011; 369 (1955) 4358-4379
  • 63 Weigl W, Milej D, Janusek D. et al Application of optical methods in the monitoring of traumatic brain injury: a review. J Cereb Blood Flow Metab 2016; 36 (11) 1825-1843
  • 64 Bellander BM, Cantais E, Enblad P. et al Consensus meeting on microdialysis in neurointensive care. Intensive Care Med 2004; 30 (12) 2166-2169
  • 65 Hillered L, Vespa PM, Hovda DA. Translational neurochemical research in acute human brain injury: the current status and potential future for cerebral microdialysis. J Neurotrauma 2005; 22 (01) 3-41
  • 66 Hutchinson PJ, Jalloh I, Helmy A. et al Consensus statement from the 2014 International Microdialysis Forum. Intensive Care Med 2015; 41 (09) 1517-1528
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