Predictor of neonatal morbidity
in birth asphyxia
Rabindran1,
Gedam DS2
1Dr. Rabindran, Consultant Neonatologist,
Sunrise Superspeciality
Children’s Hospital, Hyderabad., 2Dr
D Sharad Gedam, Editor,
IJMRR and associate with L N Medical college, Bhopal,
MP,India.
Address for correspondence: Dr Rabindran, E mail:
rabindranindia@yahoo.co.in
Abstract
Hypoxic ischaemic brain damage is a major cause of neonatal mortality
and morbidity. Similar degrees of insult may completely spare one child
and devastate another, so very sensitive prognostic parameters are
needed. Conventional predictors like fetal heart rate patterns, Apgar
scores, need for resuscitation and umbilical arterial blood gas
analysis show variable predictive values of outcome in neonates with
asphyxia.
Key words:
birth asphyxia, Neonatal morbidity, Predictor of outcome
Conventional perinatal variables such as Apgar score and cord pH are
not specific predictors of adverse outcome. The stage of encephalopathy
in the first week of life is probably the single best clinical
predictor of long-term outcome after acute perinatal asphyxia. However
early prediction of HIE is needed for selection of newborn infants who
could benefit from neuroprotective treatment like hypothermia.
Recent papers have drawn our attention to the prognostic value of
lactic acidaemia in newborns with severe hypoxaemia [1]. Serum lactate
levels in the first 30 minutes of life do not predict the severity of
the ensuing encephalopathy. In contrast, sustained lactic acidosis is
associated with severe encephalopathy on EEG and correlates with
seizure burden. Plasma lactate > 9 mmol/l was associated with
moderate or severe encephalopathy with a sensitivity of 84% and a
specificity of 67% [2]. Cerebral lactate & urinary lactate are
correlated with neonatal outcome. LDH is a good predictor of HIE during
the first 12 h after birth. A cut off level of 1049 U/L for LDH was the
best predictor of HIE (sensitivity 100% and specificity 97%) [3].
Salivary LDH also provided an early and accurate diagnosis of HIE and
could be used as a triage tool. Degree of metabolic acidosis correlated
with the neonatal neurological outcome. However it may lack
sensitivity when asphyxia occurs during the early stages of labour.
Hyperglycemia in the first 12 hours of life is associated with poor
gross motor outcome or death in asphyxiated term infants. NRBCs can be
considered as a marker of perinatal asphyxia and significantly
correlate with the degree of asphyxia.
Biomarkers of neonatal hypoxic ischemic encephalopathy predictive of
abnormal outcomes include glial fibrillary acidic protein,
brain-derived neurotrophic factor, S100b, serum and CSF concentrations
of IL-1b, IL-6, and serum neuron-specific enolase (NSE). GFAP
=/> than 0.15 ng/mL was predictive of an abnormal
brain MRI [4]. Higher cord plasma BDNF levels among babies with HIE had
poor outcome. Urinary S100b concentrations above 1 mcg/L predicted
neonatal death with a sensitivity and specificity of 100%, and
concentrations were not affected by renal failure [5]. Cord blood S100b
> 2.02 mg/L has a sensitivity of 87% and a specificity
of 88% for predicting the development of moderate or severe HIE [6].
IL-1â seems to be a better predictor of HIE than TNF-alpha.
Interleukin-6 concentrations in CSF after hypoxia were significantly
higher in the patients with adverse outcome. Serum NSE > 40
mcg/L obtained between 4 & 48 hours after birth can distinguish
infants who have mild HIE from infants who have moderate or severe HIE
[7]. Glutamate level has been shown to correlate with grade of HIE and
outcome. VEGF system is up-regulated in response to placental hypoxia
and is assumed to be a potential early indicator of severe birth
asphyxia.
Cardiac biomarkers aid in long term neurodevelopmental outcome
prediction following neonatal hypoxic-ischaemia. ECG changes were
significantly associated with poor prognosis (p = 0.001), with negative
predictive value of 90%, but poor positive predictive value of 53%
&were associated with multi-organ involvement, low Apgar score
at 5 min and severe grade of encephalopathy. Newborns with severe
neonatal hypoxic ischaemia have significantly higher serum troponin-T
concentrations than other asphyxiated groups (mild to moderate) and
healthy neonates on day 1 of life. The optimal cut-off value of cord
troponin-I for prediction of perinatal hypoxia was 0.35 lg
⁄L and for prediction of serious risk of early
mortality was 4.6 lg ⁄L [8]. Cord troponin-I is the marker
with highest specificity (86%), sensitivity (88%), NPV (85%), PPV (88%)
for prediction of perinatal hypoxia and was identified as the most
sensitive factor for predicting early death [8]. The levels of
antioxidant enzymes like lipid peroxidase can reliably and
significantly predict mortality and morbidity. Determining the serum
levels of oxidative stress markers and protein carbonyl can be used as
predictors of immediate outcome in perinatal asphyxia.
High CPK activity was noted as a sensitive indicator of conspicuous
brain damage. Serum CK-BB activity determined in cord blood between 6
and 12 h post-partum is an effective predictor of neurological
prognosis. CSF glycine, Glutamate & aspartate concentration
correlated significantly with the severity of HIE. Hypoxanthine level
is a better predictor of hypoxia-related sequelae than Apgar score or
lactate level. Urinary microglobulin was the most sensitive indicator
of systemic organ injury in perinatal asphyxia. N-acetylaspartate, a
marker of neuronal integrity declines after asphyxial injury, and this
decline is predictive of later neurologic deficits. Cerebral ultrasound
scanning was the most commonly used predictor of the outcome
previously. However it is a poor predictor of outcome, with a
likelihood ratio of close to 1 because of a high false positive rate.
With Doppler measurements, the false positive rate was 0 but the
detection rate (sensitivity) was only 23.5%. MRI demonstration of
involvement of subcortical gray matter structures, such as the basal
ganglia and thalamus, a T1-weighted signal in the posterior limb of the
internal capsule are adverse prognostic markers. Abnormal intracerebral
lactate levels on magnetic resonance spectroscopy within 18 hours of
birth in infants with HIE and correlate with neurodevelopmental
outcome. Higher Glx-α/Cr value by proton magnetic resonance
spectroscopy in basal ganglia and thalamus in neonates with HIE may
predict a poor outcome.
Amplitude-integrated electroencephalography (EEG) pattern and voltage
was found to have a good correlation with outcome in term infants who
suffered from hypoxic-ischemic encephalopathy. Early EEG changes
(within 48 hours of age) in the acute phase is highly
predictive of very unfavorable short-term outcomes. During the first 6
hours after birth, a bi-parietal aEEG is the most sensitive and
specific single indicator of long-term outcome after HIE. The cerebral
function monitor (CFM) has been used in term neonates to evaluate
prognosis after perinatal asphyxia. Cerebral haemodynamics showing
higher CBF and CBV on the first day of life had adverse outcomes, and a
CBV outside the normal range had a sensitivity of 86% for predicting
death or disability. The value of CBF velocity changes to predict poor
outcome in asphyxiated infants is low 2–6 hour after
asphyxia, but increases by the age of 12 hour. Because of its
noninvasive, easy-to-use nature, neonatal polysomnography has become an
important assessment method for neurologically damaged infants.
Polygraphic evidence of status epilepticus, hypovoltage, and burst
suppression pattern plays an important role in predicting neurologic
disabilities. The need for early prediction of outcome of birth
asphyxia is particularly important because of the narrow window of
effectiveness and possible side effects of neuro-protective
interventions. With advanced technology, biochemical and
clinical assessment it is possible to prognosticate asphyxiated babies
early which helps in early intervention. Pal et al in in his study
revealed that linear relationship between levels of cardiac troponin-I
and birth asphyxia. Therefore cardiac troponin-I level may be useful in
predicting the mortality and outcome in perinatal asphyxia [9].
Funding:
Nil, Conflict of
interest: None initiated.
Permission from IRB:
Yes
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How to cite this article?
Rabindran, Gedam DS. Predictor of neonatal morbidity in birth asphyxia.
Int J Med Res Rev 2015;3(4):364-365. doi: 10.17511/ijmrr.2015.i4.085.