There is a need for a method of real-time assessment of brain metabolism during neonatal hypoxic-ischaemic encephalopathy (HIE). We have used broadband near-infrared spectroscopy (NIRS) to monitor cerebral oxygenation and metabolic changes in 50 neonates with HIE undergoing therapeutic hypothermia treatment. In 24 neonates, 54 episodes of spontaneous decreases in peripheral oxygen saturation (desaturations) were recorded between 6 and 81 h after birth. We observed differences in the cerebral metabolic responses to these episodes that were related to the predicted outcome of the injury, as determined by subsequent magnetic resonance spectroscopy derived lactate/N-acetyl-aspartate. We demonstrated that a strong relationship between cerebral metabolism (broadband NIRS-measured cytochrome-c-oxidase (CCO)) and cerebral oxygenation was associated with unfavourable outcome; this is likely to be due to a lower cerebral metabolic rate and mitochondrial dysfunction in severe encephalopathy. Specifically, a decrease in the brain tissue oxidation state of CCO greater than 0.06 µM per 1 µM brain haemoglobin oxygenation drop was able to predict the outcome with 64% sensitivity and 79% specificity (receiver operating characteristic area under the curve = 0.73). With further work on the implementation of this methodology, broadband NIRS has the potential to provide an early, cotside, non-invasive, clinically relevant metabolic marker of perinatal hypoxic-ischaemic injury.
There is a need for a method of real-time assessment of brain metabolism during neonatal hypoxic-ischaemic encephalopathy (HIE). We have used broadband near-infrared spectroscopy (NIRS) to monitor cerebral oxygenation and metabolic changes in 50 neonates with HIE undergoing therapeutic hypothermia treatment. In 24 neonates, 54 episodes of spontaneous decreases in peripheral oxygen saturation (desaturations) were recorded between 6 and 81 h after birth. We observed differences in the cerebral metabolic responses to these episodes that were related to the predicted outcome of the injury, as determined by subsequent magnetic resonance spectroscopy derived lactate/N-acetyl-aspartate. We demonstrated that a strong relationship between cerebral metabolism (broadband NIRS-measured cytochrome-c-oxidase (CCO)) and cerebral oxygenation was associated with unfavourable outcome; this is likely to be due to a lower cerebral metabolic rate and mitochondrial dysfunction in severe encephalopathy. Specifically, a decrease in the brain tissue oxidation state of CCO greater than 0.06 µM per 1 µM brain haemoglobin oxygenation drop was able to predict the outcome with 64% sensitivity and 79% specificity (receiver operating characteristic area under the curve = 0.73). With further work on the implementation of this methodology, broadband NIRS has the potential to provide an early, cotside, non-invasive, clinically relevant metabolic marker of perinatal hypoxic-ischaemic injury.
Hypoxic-ischaemic encephalopathy (HIE) is responsible for a quarter of neonatal
deaths globally[1] and is the second most common cause of preventable childhood disability.[2] In developed countries, the incidence of HIE is around 1.5 per 1000 live
births, with 5- to 10-fold higher rates in mid and low resource settings.[3]Following resuscitation after perinatal hypoxia-ischaemia (HI), the neonatal brain
evolves through a period of partial recovery, followed by a latent phase (the
probable therapeutic window).[4] Following this, a secondary phase of energy failure may occur which is
associated with cytotoxic oedema, cell death due to mitochondrial injury and
clinical deterioration often with seizures.[5] Therapeutic hypothermia (HT) started during the latent phase reduces
secondary energy failure, cell death and improves outcome at 18–24 months and at
school age.[6-8] Although HT has been standard
care for babies with moderate to severe HIE, around 50% of treated infants have
adverse outcomes. Research into adjunct neuroprotective therapies is currently an
area of focus,[4,9] so a continuous
monitor of brain tissue health is highly desirable.The progression of the brain health during HIE can be characterised in terms of the
metabolism. The metabolic changes during and after a hypoxic-ischaemic insult in an
animal model have been measured using proton (1H) magnetic resonance
spectroscopy (MRS).[10] An increase in lactic acid occurs during hypoxia-ischaemia (produced as a
result of anaerobic respiration). Following resuscitation and return of oxygen and
substrate supply, aerobic respiration resumes and the brain lactate (Lac) returns to
almost normal levels during the latent phase. However, a secondary rise in brain
lactate and reduction in N-acetyl-aspartate (NAA), suggesting
mitochondrial dysfunction and loss of neuronal integrity, occurs during the
secondary energy failure due to an evolving cascade of injury.[10] The 1H MRS derived thalamic Lac/NAA peak area ratio is a robust
predictor of neurodevelopmental outcome in babies with HIE[11,12] and has been used as surrogate
outcome measures in clinical neuroprotection studies of HIE.[13] This metabolic information is vital for prognostication and counselling, but
only gives a snapshot of the cerebral injury at a particular time point, usually
after subacute secondary energy failure phase. Identification of worsening brain
injury and potential unfavourable outcome with a bedside tool during treatment could
improve outcome of these patients.
Broadband near-infrared spectroscopy
Near-infrared spectroscopy (NIRS) can yield information about cerebral
haemodynamics (via oxy- and deoxy-haemoglobin: HbO2 and HHb,
respectively) and tissue oxygenation at the cotside. The use of NIRS systems to
monitor the haemodynamics of HIE has been demonstrated by many research teams
over the past 20 years,[14-25] yet none have identified a
difference in the levels of injury. Measurement of cerebral metabolism, which is
related to neuronal activity, is likely to be more sensitive to different
severities of injury.[17,18,21,26,27]Broadband NIRS additionally monitors changes in the activity of
cytochrome-c-oxidase (CCO) and has the potential to provide a metabolic marker.
CCO is the terminal electron acceptor in the electron transport chain (ETC): the
final stage of oxidative metabolism.[26] A unique copper dimer (Copper A) in the enzyme has an absorption peak
around 835 nm in its oxidised form (oxCCO), but not in its reduced state. A
change in the redox state represents a change in oxidative cellular metabolism.
To accurately resolve changes in oxCCO, many wavelengths (broadband) are
required as the concentration of CCO is 10% of the in vivo haemoglobin
concentration.[28,29] Broadband NIRS-measured oxCCO changes are associated with
acute changes in metabolism following hypoxia-ischaemia;[26,30-33] see Bale et al.[28] for a detailed review.
Aim
Our aim was to determine whether broadband NIRS can distinguish injury severity
in HIE in the first 4 days after birth. It has been established that a
disruption of the cerebral metabolic rate is associated with severe brain
injury.[17,18,20,21,26] Probing this relationship further, we assessed the
metabolic and haemodynamic responses to spontaneous episodes of hypoxia
(desaturations) in newborns with favourable and unfavourable outcome after HIE.
We hypothesised that the relationship between cerebral tissue oxygenation and
mitochondrial function would indicate the severity of the injury; whereby in
brain injury resulting in an unfavourable outcome, mitochondrial function is
more dependent on oxygenation.
Materials and methods
Study participants and protocol
This prospective observational study (Baby Brain Study) was approved by the
Research Ethics Committee (REC) of University College London Hospital and London
Bloomsbury REC (reference: 13/LO/0106) in accordance with the Helsinki
Declaration. Written, informed consent was obtained from parents before each
study. Parents of term infants born at or transferred to UCLH for treatment of
HIE were approached for informed consent; we excluded babies with congenital
malformations. As per the national guideline (NICE Guidelines) infants
determined to have moderate to severe HIE were cooled to 33.5℃ for 72 h as soon
as possible after birth. Rewarming was started after 72 h, increasing 0.5℃ every
2 h over a period of 14 h. All infants were intubated and ventilated during HT,
and received continuous morphine and atracurium infusions, as is standard policy
in the UCLH NICU. Data were collected from 50 infants with HIE over the first 4
days of life during HT and rewarming; specifically, the neonates were monitored
from as early as 5 h until 96 h after birth. The total duration of the
monitoring varied between infants and ranged from 8 to 78 h (see Table 1).
Table 1.
Details of neonates studied with desaturation events eligible for
analysis.
Neonate
Gender
GA (weeks)
Birth weight (g)
Lac/NAA
Outcome prediction
Duration (hours)
No. of events
Time of events (hours from birth)
2
F
38.0
1770
0.87
Unfavourable
29.0
1
37
3
F
41.0
3800
0.2
Favourable
47.1
9
23, 71, 71, 71, 72, 72, 75, 76, 78
6
M
40.3
3110
0.39
Unfavourable
29.1
2
56, 62
7
M
39.7
3640
1.32
Unfavourable
24.7
2
67, 68
8
F
41.9
3498
0.17
Favourable
26.8
1
51
9
M
38.9
2850
0.16
Favourable
35.3
5
34, 35, 36
11
F
40.6
3580
0.08
Favourable
77.5
1
37
14
M
37.7
3750
0.25
Favourable
30.9
2
14, 54
15
F
39.6
3240
0.15
Favourable
36.4
3
16, 70, 78
17
F
37.4
3160
0.35
Unfavourable
50.2
2
13, 37
19
F
39.4
3700
0.16
Favourable
28.9
1
18
20
M
40.9
3190
0.11
Favourable
48.7
2
40, 66
21
M
36.4
2440
0.2
Favourable
41.1
3
33, 41, 81
25
M
41.9
4940
0.4
Unfavourable
8.1
1
78
35
F
38.7
3150
0.14
Favourable
12.0
1
18
37
F
39.4
3330
0.2
Favourable
10.1
2
12, 14
47
F
41.7
3390
0.41
Unfavourable
16.9
1
51
48
M
39.0
3340
2.64
Unfavourable
29.0
1
69
51
M
38.1
3070
0.18
Favourable
15.6
2
58, 58
53
F
37.6
3020
0.17
Favourable
16.9
2
17, 34
56
M
40
3365
0.34
Unfavourable
13.5
1
29
59
M
41.1
3990
0.16
Favourable
15.5
3
17, 43, 44
60
F
40.7
2754
0.15
Favourable
15.7
3
6, 7, 9
62
F
40
3442
0.21
Favourable
25.8
3
30, 53, 58
Details of neonates studied with desaturation events eligible for
analysis.Continuous systemic data from bedside Intellivue Monitors (Philips Healthcare,
UK) were collected simultaneously with the NIRS data using an application called
ixTrend (ixellence GmbH, Germany). Signals recorded include oxygen saturation
(SpO2), heart rate, respiratory rate and mean arterial blood
pressure.
Magnetic resonance imaging and spectroscopy
MRI scans with 1H MRS were performed between days 5 and 10 using a 3T
Philips MRI scanner (Philips Healthcare) and processed with jMRUI (v4). T1 and
T2 weighted imaging sequences were obtained along with diffusion-weighted
imaging sequences. A single voxel of 1.5 cm × 1.5 cm × 1.5 cm was positioned to
encompass as much of left thalamus as possible whilst avoiding overlap with CSF
to obtain MRS spectra. Thalamic Lac/N-acetyl aspartate peak area ratio obtained
from 1H MRS is the most accurate quantitative MR biomarker within the
neonatal period for prediction of neurodevelopmental outcome following HIE;[11] Lac/NAA < 0.3 was noted to indicate good outcome in this
meta-analysis.
Broadband NIRS instrumentation and processing
The broadband NIRS device used in this study has been previously described.[34] Briefly, the system consists of an optical fibre illuminator (ORIEL
77501, Newport, UK) and a lens-based spectrometer (LS785, Princeton Instruments)
with a front-illuminated CCD camera (PIXIS 512f, Princeton Instruments) (see
Figure 1(a)). An
optical fibre bundle carries light to the tissue, and another detector bundle
collects the attenuated light emerging from the tissue; the fibres are held onto
the head with a 3D printed fibre holder. All measurements were taken on the
forehead over the right hemisphere of the frontal lobe with a source-detector
separation of 30 mm (see Figure
1(b)).
Figure 1.
(a) Experimental set up demonstrating the integration of the
broadband NIRS system within the multimodal monitoring environment
in the NICU: broadband NIRS system is on the left with optical
fibres (black) entering the cot. (b) The baby in the cot being
monitored during treatment for HIE with broadband NIRS (black
optical fibre cables), EEG, transcutaneous monitors, blood pressure
catheter, respirator and ECG.
(a) Experimental set up demonstrating the integration of the
broadband NIRS system within the multimodal monitoring environment
in the NICU: broadband NIRS system is on the left with optical
fibres (black) entering the cot. (b) The baby in the cot being
monitored during treatment for HIE with broadband NIRS (black
optical fibre cables), EEG, transcutaneous monitors, blood pressure
catheter, respirator and ECG.Detected intensity data were collected at 1 Hz using custom-built software
(LabVIEW 2011, National Instruments). Attenuation changes across the 770–905 nm
wavelength range were used to resolve concentration changes in HbO2,
HHb and oxCCO using the UCLn algorithm.[28,35] A constant pathlength was
assumed with a differential pathlength factor of 4.99[36] which was corrected for the wavelength dependency of the pathlength.[37]
Data analysis
All data analysis was done in MATLAB 2013b (Mathworks). Automatic synchronisation
of the broadband NIRS data with the systemic data was performed.Data from during the therapeutic hypothermia period was included in the analysis;
that is events occurring on postnatal days 1–3 during hypothermia (33.5℃) and
day 4 during the rewarming period but still at hypothermic temperatures
(<35℃).Multimodal data were examined during clinically stable periods (no seizure
activity), and desaturation events were selected. A drop in SpO2 to
below 85% from above 95% was selected as a hypoxic event (see examples in Figure 2(a) and (e)). If
there were no hypoxic events identified in their data, the neonate was excluded
from this analysis. In cases where there were multiple events per baby, the
events were averaged before the group analysis. After event selection, NIRS data
were filtered using a third order Savitzky–Golay filter and normalised to 0 µM
at the event start time. As each event has a different duration and
SpO2 decrease, the NIRS and systemic data were averaged per each
5% change in SpO2.
Figure 2.
Examples of broadband NIRS and MR data from two infants with
different HI injury severities. (a–d) Neonate 021 with favourable
outcome: (a) pulse oximeter recording of SpO2 during
desaturation event (grey). (b) NIRS recording of HbD, HbT and oxCCO
during same desaturation event (grey) as in (a). Note that oxCCO is
plotted on the right axis. (c) Change in oxCCO against HbD during
desaturation period from (a) and (b) showing a gradient of −0.01.
(d) T2 weighted MRI on day 7 revealed high signal intensity in the
white matter (WM) with normal deep grey matter (DGM). Lac/NAA was
0.2. (e–h) Neonate 007 with unfavourable outcome. (e) Pulse oximeter
recording of SpO2 during desaturation event (grey). (f)
NIRS recording of HbD, HbT and oxCCO during same desaturation event
(grey) as in (e). Note that oxCCO is plotted on the right axis. (g)
Change in oxCCO against HbD during desaturation period from (e) and
(f) showing a gradient of 0.14. (h) T2 weighted MRI on day 5
revealed widespread signal intensities both in WM and DGM. Lac/NAA
was 1.32.
Examples of broadband NIRS and MR data from two infants with
different HI injury severities. (a–d) Neonate 021 with favourable
outcome: (a) pulse oximeter recording of SpO2 during
desaturation event (grey). (b) NIRS recording of HbD, HbT and oxCCO
during same desaturation event (grey) as in (a). Note that oxCCO is
plotted on the right axis. (c) Change in oxCCO against HbD during
desaturation period from (a) and (b) showing a gradient of −0.01.
(d) T2 weighted MRI on day 7 revealed high signal intensity in the
white matter (WM) with normal deep grey matter (DGM). Lac/NAA was
0.2. (e–h) Neonate 007 with unfavourable outcome. (e) Pulse oximeter
recording of SpO2 during desaturation event (grey). (f)
NIRS recording of HbD, HbT and oxCCO during same desaturation event
(grey) as in (e). Note that oxCCO is plotted on the right axis. (g)
Change in oxCCO against HbD during desaturation period from (e) and
(f) showing a gradient of 0.14. (h) T2 weighted MRI on day 5
revealed widespread signal intensities both in WM and DGM. Lac/NAA
was 1.32.1H MRS derived thalamic Lac/NAA was used as a clinical biomarker as a
prognostic measure of outcome.[11] Favourable outcome was predicted by Lac/NAA < 0.3. It was not possible
to observe the severity of the original injury because a significant proportion
of the neonates were transferred ex utero from different local units for
management of HIE and were already on medication on arrival at our NICU. The
median and interquartile range of the signals was calculated for each NIRS and
systemic signal at each 5% SpO2 for each group (minimum of four
events).
Statistical analysis
The significance of the difference between the group NIRS variables and baseline
was assessed using Kruskal–Wallis tests (p < 0.05 was
considered statistically significant).The gradients of oxCCO against the HbD, HbT and SpO2 changes during
each desaturation were found for each event, and receiver operating
characteristic (ROC) curves were used to illustrate the performance of the
gradients of the events as classifiers of injury.
Results
A total of 54 arterial desaturation events were recorded in 24 neonates (8
unfavourable and 16 favourable outcomes after HIE, as determined by MRS-measured
Lac/NAA) out of 50 neonates monitored with broadband NIRS; data from 26 neonates
were excluded. All events were recorded over postnatal days 1–4 during hypothermia:
the first event was recorded 6 h after birth, and the last event was at 81 h. Table 1 shows the clinical
details of the infants included in this analysis, and the number and timing of
events recorded per infant (see online Supplementary Table 1 for clinical details
for all infants studied, including those without desaturation events eligible for
analysis). Table 2 shows
the mean changes in the systemic parameters measured during the desaturation event
periods. The average desaturation period occurred over 131 ± 97 s, with a range from
13 to 455 s. The average SpO2 nadir was 65% ± 21%, with a range from 8%
to 85%. The mean birth weight was 3.3 ± 0.6 kg, and the mean GA was 39.6 ± 1.5
weeks; 13 neonates were female. A total of 54 events were identified: 11 from
neonates with unfavourable outcome (predicted by MRS measured Lac/NAA > 0.3) and
43 from neonates with a favourable outcome.
Table 2.
Mean ± standard deviation of the systemic parameters during baseline and
nadir of desaturation events.
Baseline
Nadir
Outcome
Favourable
Unfavourable
Favourable
Unfavourable
SpO2 (%)
95.94 ± 2.20
97.35 ± 2.03
66.74 ± 21.92
78.17 ± 5.35
MABP (mm Hg)
52.27 ± 10.09
50.25 ± 9.01
50.25 ± 9.78
50.54 ± 8.03
HR (bpm)
114.23 ± 18.03*
130.88 ± 18.47*
115.29 ± 18.88*
130.54 ± 18.86*
RR (r/min)
29.83 ± 10.31
25.04 ± 12.19
31.37 ± 9.79
34.06 ± 18.75
Note: Asterisks show a significant difference between the groups
(p < 0.05). SpO2: oxygen
saturation; MABP: mean arterial blood pressure, HR: heart rate, RR:
respiratory rate.
Mean ± standard deviation of the systemic parameters during baseline and
nadir of desaturation events.Note: Asterisks show a significant difference between the groups
(p < 0.05). SpO2: oxygen
saturation; MABP: mean arterial blood pressure, HR: heart rate, RR:
respiratory rate.Three cerebral signals were monitored using broadband NIRS during the desaturation
events: cerebral oxygenation, as haemoglobin difference (HbD = HbO2−HHb),
cerebral blood volume, as total haemoglobin (HbT = HbO2 + HHb), and
metabolism via oxCCO (see examples in Figure 2(b) and (f)). Figure 3 shows the group changes in each
broadband NIRS variable with SpO2 during desaturations for the favourable
and unfavourable outcome groups. At the lowest SpO2 level (75–79%), there
was a significantly larger decrease in oxCCO for neonates with unfavourable outcome
compared to a favourable outcome (p = 0.04) despite no difference
in the cerebral oxygenation and blood volume changes (p > 0.05).
There was no difference between the changes in the haemoglobin signals between the
favourable and unfavourable outcome groups. Further, the changes in metabolism from
baseline were different between the two groups: there was no change in oxCCO from
baseline in the favourable outcome group during desaturation
(p > 0.05), but there was a large decrease in oxCCO from
baseline in the unfavourable outcome group (p = 0.04). Across the 4
days, there were no significant temporal relationships observed in the desaturation
responses of HbD, HbT or oxCCO, this is true both intra-subject (when there were
multiple events) and across the group. In addition, there was no significant
relationship of the oxCCO/HbD response with time.
Figure 3.
Boxplot showing the change in broadband NIRS measured (a, d) HbD, (b, e)
HbT and (c, f) oxCCO with decrease in SpO2 during
desaturation events in 24 infants: (a–c) 16 favourable outcome, (d–f) 8
unfavourable outcome HIE. Note that the y-axis scales
are different. The boxplot presents the median and interquartile range,
the whiskers show the extreme data points and outliers are presented as
crosses. The shaded boxes show a significant difference
(p < 0.05) from the baseline. The asterisk shows
there was a significant difference (p = 0.04) in the
change in oxCCO between the favourable and unfavourable outcome groups
at 75–80% SpO2, there was no significant difference in any
other variables between the groups.
Boxplot showing the change in broadband NIRS measured (a, d) HbD, (b, e)
HbT and (c, f) oxCCO with decrease in SpO2 during
desaturation events in 24 infants: (a–c) 16 favourable outcome, (d–f) 8
unfavourable outcome HIE. Note that the y-axis scales
are different. The boxplot presents the median and interquartile range,
the whiskers show the extreme data points and outliers are presented as
crosses. The shaded boxes show a significant difference
(p < 0.05) from the baseline. The asterisk shows
there was a significant difference (p = 0.04) in the
change in oxCCO between the favourable and unfavourable outcome groups
at 75–80% SpO2, there was no significant difference in any
other variables between the groups.Focussing solely on the cerebral changes occurring during desaturation, Figure 4 shows the group
changes in cerebral metabolism with cerebral oxygenation and blood volume,
respectively; individual examples are shown in Figure 2(c) and (g). The ROC curves for
oxCCO/SpO2, oxCCO/HbD and oxCCO/HbT gradients had areas under the
curves of 0.41, 0.73 and 0.36, respectively (Figure 5). This showed that oxCCO/HbD
gradient was a ‘good’ classifier of outcome: a change in oxCCO of greater than
0.06 µM per 1 µM HbD change indicates unfavourable outcome with 64% sensitivity and
79% specificity.
Figure 4.
Group cerebral changes during desaturation. (a) Mean change in HbD
against mean change in oxCCO per SpO2 percentage change for
each group. The mean gradients for oxCCO/HbD were −0.004 ± 0.012
(R2 = 0.032) and 0.21 ± 0.03
(R2 = 0.93) for the favourable and
unfavourable outcome groups, respectively. For patients who experienced
multiple desaturation events, the gradients of oxCCO/HbD were consistent
across events. For example, patient 021 (favourable outcome) experienced
three desaturation events with gradients of −0.008, −0.008 and −0.002 on
day 2 (2 events) and 3, respectively, and patient 007 (unfavourable
outcome) had 2 events with gradients of 0.18 and 0.14 on day 3. (b) Mean
change in HbT against mean change in oxCCO per SpO2
percentage change for each group. For oxCCO/HbT the mean gradients were
0.026 ± 0.051 (R2 = 0.078) and −0.54 ± 0.75
(R2 = 0.15) for favourable and
unfavourable outcome groups, respectively.
Figure 5.
ROC curve for the SpO2, HbD and HbT versus oxCCO gradients as
biomarkers of outcome. Areas under the curves are 0.41, 0.73 and 0.36
for SpO2, HbD and HbT, respectively.
Group cerebral changes during desaturation. (a) Mean change in HbD
against mean change in oxCCO per SpO2 percentage change for
each group. The mean gradients for oxCCO/HbD were −0.004 ± 0.012
(R2 = 0.032) and 0.21 ± 0.03
(R2 = 0.93) for the favourable and
unfavourable outcome groups, respectively. For patients who experienced
multiple desaturation events, the gradients of oxCCO/HbD were consistent
across events. For example, patient 021 (favourable outcome) experienced
three desaturation events with gradients of −0.008, −0.008 and −0.002 on
day 2 (2 events) and 3, respectively, and patient 007 (unfavourable
outcome) had 2 events with gradients of 0.18 and 0.14 on day 3. (b) Mean
change in HbT against mean change in oxCCO per SpO2
percentage change for each group. For oxCCO/HbT the mean gradients were
0.026 ± 0.051 (R2 = 0.078) and −0.54 ± 0.75
(R2 = 0.15) for favourable and
unfavourable outcome groups, respectively.ROC curve for the SpO2, HbD and HbT versus oxCCO gradients as
biomarkers of outcome. Areas under the curves are 0.41, 0.73 and 0.36
for SpO2, HbD and HbT, respectively.
Discussion
Cotside assessment of HIE using broadband NIRS can identify differences in the
outcome of injury in the first days of life. These data show that the cerebral
oxidative metabolism in newborn brain injury behaves differently depending on injury
severity; in unfavourable outcome cases of HIE, there is a higher oxygen dependency
of mitochondrial metabolism than in favourable outcome cases. This assessment is
cotside and provides earlier information than that obtained with MRS on days 5–10;
the earliest event recorded was 6 h postpartum.The HI brain injury severity was not found to impact on the performance of the
cerebral haemodynamics or oxygenation. In contrast, the changes in mitochondrial
activity during desaturation were related to injury severity. In the favourable
outcome group, despite a significant drop in systemic arterial saturation and
cerebral tissue oxygenation, there was no change in the metabolic signal (oxCCO).
Conversely, a similar oxygenation decrease caused a significant decrease in oxCCO in
severely injured neonates (with the unfavourable outcome) indicating a reduction in
cerebral metabolism with oxygenation. To put the oxCCO concentration change in
perspective, the nadir of the median change in oxCCO was −1.29 µM in the
unfavourable outcome group while the total CCO concentration is assumed to be
∼5.5 µM in human brain tissue[28] (although this is potentially lower in the newborn brain).[38] Thus, this represents a ∼20% change in the oxidation state of CCO in the
brain tissue. These results suggest that cerebral metabolism in severe HI injury is
more oxygenation dependent and further, that metabolism becomes oxygen limited at
higher oxygenation levels than in HI injury with a favourable outcome. This link
between cerebral oxygenation/metabolism and injury implies there is a mismatch
between oxygenation and metabolism at the cellular level in HIE with an unfavourable
outcome that is not present in cases with a favourable outcome.The aetiology of the desaturation events is unknown; however, there was no
relationship between the number of/absence of/length/depth of the desaturation
events and outcome (see Table
1), only the cerebral response to desaturation was injury dependent. The
cause of desaturations is unclear as the data was collected during clinically stable
periods. The desaturations were not related to seizures as confirmed by continuous
EEG and aEEG. In this NICU, the alarm limit is set to SpO2 89–95% and the
clinical team responded if (1) SpO2 did not spontaneously recover or (2)
the desaturation was associated with significant changes in other systemic
parameters. Despite these babies being optimally ventilated with indicators of
gaseous exchange within normal limits (normal blood gases) and carefully monitored
with standard physiological monitoring, these spontaneous episodes of desaturation
(mostly self-limiting) were noticed. However, the most interesting outcome of this
study was not the occurrence of desaturation events, but rather the cerebral
response to these events.
Mitochondrial metabolism and injury severity
The mechanism behind this effect is likely a decrease in cerebral metabolic rate
in more severe brain injury. There is a progressive increase in mitochondrial
dysfunction during secondary energy failure,[10] and therefore, infants with worse outcomes and who are more likely to
have experienced secondary energy failure (SEF) will have reduced metabolic
capacity. This is supported by MRS studies which have shown that in neonates
with severe HIE, there is a larger disturbance of cerebral metabolism than
infants with less severe HIE.[39,40] NIRS studies of neonatal
HIE support the hypothesis that HI injury results in a reduced cerebral
metabolic rate: Wintermark et al.[20] observed a lower cerebral metabolic rate of oxygen (CMRO2) in
moderate compared to severe HI injury; Lemmers et al.[22] observed a lower cerebral fractional tissue oxygen extraction (FTOE) in
infants with adverse outcome; and van Bel et al.[17] saw a decrease in oxCCO with time from birth in severe HIE (without
therapeutic hypothermia), suggesting that the rate of metabolism decreases as
the injury progresses. Other studies on this cohort using broadband NIRS have
shown a link between metabolic response and injury during systemic changes in
HIE,[41,42] rewarming in HIE,[43] and stroke.[44] Further, the response of oxCCO during seizures has been recorded and
shown to be unique from the haemodynamic response and potentially related to
brain injury.[45] The mechanism behind this lower metabolic rate in HIE resulting in
unfavourable outcome is potentially due to more damage in the mitochondrial
respiratory chain from either the initial injury or SEF,[46] which will result in a lower metabolic rate that is more oxygen-dependent
at higher tissue saturation.[47]Evidence that HIEinfants have impaired energy metabolism is also present in
other measures of metabolism. HIE results in a reduced cerebral ratio of
phosphocreatine to inorganic phosphate (PCr/Pi)[46] the level of which is predictive of the subsequent neurological
outcome.[26,39] More significantly, lactate is also seen to increase during
secondary energy failure[48] suggesting that impairment in mitochondrial energy metabolism is directly
responsible for the secondary fall in PCr and ATP levels. Progressive
mitochondrial impairment and impaired oxidative metabolism are thought to be
central to the brain lactate increase; the disruption in the balance between
cytosolic and mitochondrial ATP-producing metabolic pathways and upregulation of
cell membrane transporters such as the sodium-proton exchanger contribute to
brain lactate increases acutely.[11] It has also been shown that there is an increase in apoptosis during SEF
which will reduce the available mitochondria.[49]It is known that therapeutic hypothermia reduces cerebral metabolism.[15,50,51] This
analysis was careful to include only desaturation events occurring at
hypothermic temperatures to avoid confounding the analysis; the differences
between the injury severities still exist so are additional to, and independent
of, the decrease in metabolic rate due to HT. The effect of temperature on oxCCO
during rewarming has been analysed separately;[43] an impaired relationship between cerebral oxygenation and metabolism was
related to unfavourable outcome.Factors that can reduce the activity of CCO have been discussed
previously[52,53] and include: uncoupling of metabolism (when oxygen intake
is dependent on the presence of ADP and phosphate) which can be caused by a
disruption of the mitochondria;[47] presence of inhibitors (such as nitric oxide which is known to be
associated with HIE); and increased intracellular pH.[26] A mathematical model of physiology found that mitochondrial uncoupling
and the death of brain tissue are the most important factors in understanding
the decrease in metabolism after severe HIE.[54] Interestingly, the extent of brain injury has been shown to be associated
with an alkaline intracellular pH;[55] therefore, a likely hypothesis is that increased pH is a factor in the
observed increased dependence of oxCCO on oxygenation in HIE resulting in
unfavourable outcome.
Oxygen dependency of mitochondrial metabolism indicates injury
severity
The reduced mitochondrial function can alter cellular oxygen dependency. A
reduction in arterial oxygenation will decrease oxygen delivery (as observed in
the reduction of HbD during the desaturations) eventually decreasing oxidative
metabolism once the tissue partial pressure of oxygen has decreased.
Mitochondria in mild to moderate brain injury have a lower oxygen saturation
threshold or ‘critical mitochondrial oxygenation’; in less severe brain injury,
the oxygen tension in the majority of mitochondria is above the value at which
their redox state becomes oxygen dependent, and it is not until there is a
substantial fall in oxygen tension that a sufficiently large population of
mitochondria have an oxygen tension low enough to affect the measured CCO
oxidation state.[30] This might be because impaired mitochondria require a higher tissue
oxygenation to function, or because an increased oxygen tension gradient is
required to drive oxygen across oedematous tissue to reach the mitochondria.[32] Banaji et al.[53] predicted how the oxCCO signal should respond during an oxygen
desaturation using a mathematical model of brain circulation and energy
metabolism: during hypoxia in a healthy brain there is an approximately linear
relationship with HbO2; when CMRO2 is lowered by 60%,
however, the relationship becomes biphasic and much larger changes in the oxCCO
signal can occur for similar saturation changes. In HIE with an unfavourable
outcome, we observed the oxygenation threshold of metabolism is reached at a
higher oxygenation level than in HIE with a favourable outcome.A biphasic oxCCO change has also been seen in animal models of HI.[30,56,57] Bainbridge et al.[56] interpreted the decrease in oxCCO as an impairment of the ETC, which in
turn results in failure of ATP production through ATP synthase.[56] The threshold point in the double-linear fit of the data has been
interpreted as the point at which ATP manufacture in oxidative metabolism is
almost completely suppressed. Springett et al.[30] observed a biphasic oxCCO response during anoxia in piglets, further
demonstrating a shift in the threshold if the animal is hypercapnic.[30] The authors postulate that the point at which oxCCO suddenly decreases is
caused when the ETC becomes oxygen limited. Cooper et al.[57] also reported a biphasic relationship between metabolism and perfusion
(via CMRO2 and CBF) in a piglet artery occlusion model measured using
NIRS. Additionally, hyperoxia in acute brain injurypatients suggested a change
in mitochondrial redox status and the presence of oxygen-dependent metabolism
above traditionally described ischaemic thresholds.[58]Healthy adult studies of hypoxemia have not observed a biphasic oxCCO
relationship with changes in oxygen saturation.[33] One study reported a linear correlation between oxCCO and cerebral oxygen
delivery during the oxygen desaturations but did not find a relationship between
oxCCO and HbD.[59] It is possible that the lack of threshold observed is because the
saturation cannot be safely and ethically brought low enough to reach CCO
reduction in healthy adult volunteers.Further evidence that the coupling between oxygenation and metabolism is related
to metabolic rate is presented by Wilson et al.[47] The authors found that at high oxygen tensions, the redox state of CCO is
independent of oxygen tension and determined by the metabolic state and the
activity of the tricarboxylic acid cycle. As oxygen tension reduced to zero, all
the components of the ETC became reduced, and the point at which oxidation
changes are first observed in CCO depends on the metabolic state. The measured
dependences of the rate of mitochondrial metabolism and of the reduction of the
ETC components on oxygen concentration are not constant but change dramatically
with changes in metabolic status.
Limitations and future directions
The next step for this work is to evaluate the prognostic utility of the oxCCO
signal in the first hours after injury; a central goal of cotside monitoring is
to identify high-risk infants in the first 6 h after injury when further
interventions or adjunct therapies might be beneficial. Due to difficulties with
obtaining consent, it was very difficult to monitor every neonate as early as
6 h postpartum (it was only possible in one case, neonate 60, where we were able
to begin monitoring at 5 h postpartum) but with the promise of broadband NIRS
shown in this study and others,[42] it is now essential that we investigate the signal as an early biomarker
of tissue health. A further goal would be to monitor the progression of tissue
metabolism from the first hours of injury, throughout hypothermia and re-warming
to assess tissue health throughout treatment. This would require continuous
monitoring but would give insight into the mitochondrial injury, metabolic
dysfunction and cell death associated with SEF in real-time.Combining the broadband NIRS oxCCO signal with other cotside monitors of
metabolism, such as FTOE[60] or CMRO215 would give additional information
regarding the initial metabolic status of the brain before the desaturation
events and would confirm our hypothesis that the more severely injured brain has
a lower metabolic rate. The instrument presented here is customisable and can be
upgraded to measure FTOE via tissue saturation measured by spatially resolved spectroscopy[61] or broadband spectrum fitting.[62]Finally, as many neonates with HIE experience seizures and abnormal electrical
activity, it is interesting to assess the relationship between oxCCO and EEG.
This has been done in a case study of an infant with multiple seizure events,[45] and it is being investigated further in seizures and during clinically
stable periods. We know that there was no seizure activity during the
desaturations events analysed here, but it will be interesting to see if there
are any changes in electrical activity associated with the events, or the
metabolic response to electrical activity.
Conclusion
In conclusion, we have shown that the cerebral oxidative metabolism in newborn
brain injury behaves differently depending on injury severity. In particular, we
have shown that in HIE with unfavourable outcome there is a higher mitochondrial
dependence on oxygenation. We postulate that this is due to mitochondrial
dysfunction and reduction in cerebral metabolic rate as a result of severe
encephalopathy. In addition, uniquely we have obtained these results using a
non-invasive bedside technique, broadband NIRS, in the first 4 days of life,
which is earlier than it is possible to perform MRS, the gold standard marker of
outcome. While further work on the implementation and applicability of the
broadband NIRS technique is needed, the combined measurement of changes in
haemoglobin oxygenation and CCO oxidation have the potential to provide a
non-invasive and cotside marker of neurodevelopmental outcome following neonatal
HI injury.Click here for additional data file.Supplemental material for Oxygen dependency of mitochondrial metabolism indicates
outcome of newborn brain injury by Gemma Bale, Subhabrata Mitra, Isabel de
Roever, Magdalena Sokolska, David Price, Alan Bainbridge, Roxana Gunny, Cristina
Uria-Avellanal, Giles S Kendall, Judith Meek, Nicola J Robertson and Ilias
Tachtsidis in Journal of Cerebral Blood Flow & Metabolism
Authors: Susan E Jacobs; Marie Berg; Rod Hunt; William O Tarnow-Mordi; Terrie E Inder; Peter G Davis Journal: Cochrane Database Syst Rev Date: 2013-01-31
Authors: P L Hope; A M Costello; E B Cady; D T Delpy; P S Tofts; A Chu; P A Hamilton; E O Reynolds; D R Wilkie Journal: Lancet Date: 1984-08-18 Impact factor: 79.321
Authors: A Lorek; Y Takei; E B Cady; J S Wyatt; J Penrice; A D Edwards; D Peebles; M Wylezinska; H Owen-Reece; V Kirkbride Journal: Pediatr Res Date: 1994-12 Impact factor: 3.756
Authors: Hadi Zabihi Yeganeh; Vladislav Toronov; Jonathan T Elliott; Mamadou Diop; Ting-Yim Lee; Keith St Lawrence Journal: Biomed Opt Express Date: 2012-10-09 Impact factor: 3.732
Authors: A Bainbridge; I Tachtsidis; S D Faulkner; D Price; T Zhu; E Baer; K D Broad; D L Thomas; E B Cady; N J Robertson; X Golay Journal: Neuroimage Date: 2013-08-17 Impact factor: 6.556
Authors: Arnab Ghosh; David Highton; Christina Kolyva; Ilias Tachtsidis; Clare E Elwell; Martin Smith Journal: J Cereb Blood Flow Metab Date: 2016-01-01 Impact factor: 6.200
Authors: Matthew Caldwell; Tracy Moroz; Tharindi Hapuarachchi; Alan Bainbridge; Nicola J Robertson; Chris E Cooper; Ilias Tachtsidis Journal: PLoS One Date: 2015-10-07 Impact factor: 3.240
Authors: Matthew Kewin; Ajay Rajaram; Daniel Milej; Androu Abdalmalak; Laura Morrison; Mamadou Diop; Keith St Lawrence Journal: Biomed Opt Express Date: 2019-08-23 Impact factor: 3.732
Authors: Hasan Ayaz; Wesley B Baker; Giles Blaney; David A Boas; Heather Bortfeld; Kenneth Brady; Joshua Brake; Sabrina Brigadoi; Erin M Buckley; Stefan A Carp; Robert J Cooper; Kyle R Cowdrick; Joseph P Culver; Ippeita Dan; Hamid Dehghani; Anna Devor; Turgut Durduran; Adam T Eggebrecht; Lauren L Emberson; Qianqian Fang; Sergio Fantini; Maria Angela Franceschini; Jonas B Fischer; Judit Gervain; Joy Hirsch; Keum-Shik Hong; Roarke Horstmeyer; Jana M Kainerstorfer; Tiffany S Ko; Daniel J Licht; Adam Liebert; Robert Luke; Jennifer M Lynch; Jaume Mesquida; Rickson C Mesquita; Noman Naseer; Sergio L Novi; Felipe Orihuela-Espina; Thomas D O'Sullivan; Darcy S Peterka; Antonio Pifferi; Luca Pollonini; Angelo Sassaroli; João Ricardo Sato; Felix Scholkmann; Lorenzo Spinelli; Vivek J Srinivasan; Keith St Lawrence; Ilias Tachtsidis; Yunjie Tong; Alessandro Torricelli; Tara Urner; Heidrun Wabnitz; Martin Wolf; Ursula Wolf; Shiqi Xu; Changhuei Yang; Arjun G Yodh; Meryem A Yücel; Wenjun Zhou Journal: Neurophotonics Date: 2022-08-30 Impact factor: 4.212
Authors: Daniel Milej; Ajay Rajaram; Marianne Suwalski; Laura B Morrison; Leena N Shoemaker; Keith St Lawrence Journal: Neurophotonics Date: 2022-07-20 Impact factor: 4.212
Authors: Gemma Bale; Ajay Rajaram; Matthew Kewin; Laura Morrison; Alan Bainbridge; Mamadou Diop; Keith St Lawrence; Ilias Tachtsidis Journal: Adv Exp Med Biol Date: 2018 Impact factor: 2.622