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Abnormal aEEG background at 36 hours predicts 2-year neurodevelopmental outcomes in infants with HIENew tools help predict long-term outcomes for infants with brain injury

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Key Takeaway
Note that abnormal aEEG background at 36 hours provides reliable prognostic information for 2-year outcomes in HIE.

This meta-analysis evaluated the prognostic utility of amplitude-integrated electroencephalography (aEEG), cerebral near-infrared spectroscopy (cNIRS), and targeted neonatal echocardiography (TnECHO) in infants aged 35 weeks' gestation or more with hypoxic-ischaemic encephalopathy (HIE) treated with therapeutic hypothermia. The analysis included 24 studies (n=1989) to assess 2-year neurodevelopmental outcomes and mortality.

Key findings indicate that an abnormal aEEG background at 36 hours is a reliable predictor of adverse 2-year outcomes, with a sensitivity of 0.83 (95% CI 0.70 to 0.92) and specificity of 0.88 (95% CI 0.79 to 0.93). Additionally, the absence of sleep-wake cycling showed a specificity of 0.93 (95% CI 0.88 to 0.96), and abnormal cNIRS at 36-48 hours showed a specificity of 0.97 (95% CI 0.13 to 1.00). In contrast, acute pulmonary hypertension showed low discrimination (AUC 0.40).

Limitations noted by the authors include substantial heterogeneity in data regarding right ventricular dysfunction. Clinically, abnormal aEEG at 36 hours provides reliable bedside prognostic information for 2-year outcomes in HIE. While cNIRS may offer complementary value, there is limited evidence supporting the utility of TnECHO alone for these outcomes.

When a newborn experiences a sudden lack of oxygen, it can lead to a serious condition called hypoxic-ischaemic encephalopathy. For parents and doctors, the biggest question is often: how will this injury affect the child's development in the future? New research into monitoring tools offers some clarity on how to predict those long-term outcomes.

Researchers looked at data from over 2,700 infants who received cooling treatment for brain injuries. They found that a specific type of brain wave monitoring, called aEEG, is very reliable. When doctors see an abnormal background in these brain waves at the 36-hour mark, it serves as a strong indicator of how the child might do at the two-year mark. Another tool, called cNIRS, which measures blood flow in the brain, also showed promise as a helpful extra piece of information.

While these tools provide helpful clues for bedside care, they are not perfect. For example, one specific heart-related test, known as TnECHO, did not show enough evidence to be used alone as a predictor. These findings help medical teams better understand which tools provide the most reliable information during those critical first days of life.

What this means for you:
Specific brain wave monitoring at 36 hours provides reliable information about a child's 2-year development.

Common questions

How can doctors predict a child's development after a brain injury?

Doctors can use a tool called aEEG to monitor brain waves. When this tool shows an abnormal background at the 36-hour mark, it provides reliable information about how the infant will develop over the next two years. This helps medical teams provide better care during the early stages of treatment.

What is cNIRS and does it help predict outcomes?

cNIRS is a tool that measures blood flow in the brain. The study found that cNIRS can offer complementary value when used alongside other tests. It can provide additional information to help doctors understand the infant's condition during the first 36 to 48 hours after an injury.

Are there any tests that are not as reliable for predicting outcomes?

While some tools are very effective, others are less clear. For example, the study found limited evidence to support using a specific heart test, called TnECHO, on its own to predict outcomes. Because of this, it is not currently used as a primary way to predict a child's future development.

Study Details

Study typeMeta analysis
Sample sizen = 2,721
EvidenceLevel 1
Follow-up24.0 mo
PublishedOct 2026
View Original Abstract ↓
OBJECTIVE: To evaluate the prognostic accuracy of amplitude-integrated electroencephalography (aEEG), cerebral near-infrared spectroscopy (cNIRS) and targeted neonatal echocardiography (TnECHO) for predicting 2-year outcomes (neurodevelopment and/or death) in infants with hypoxic-ischaemic encephalopathy (HIE) treated with therapeutic hypothermia (TH). DESIGN: Systematic review and meta-analysis. DATA SOURCES: MEDLINE, Embase, CINAHL and the Cochrane Library (2002-16 April 2025). PROSPERO registration: CRD42023387592. ELIGIBILITY CRITERIA: Prognostic studies including infants ≥35 weeks' gestation with HIE treated with whole-body TH and reporting neurodevelopmental impairment at 18-24 months and/or death. DATA EXTRACTION AND SYNTHESIS: Data were extracted independently. Risk of bias was assessed using Quality in Prognosis Studies. Pooled sensitivity, specificity, diagnostic ORs (DORs) and area under the curve (AUC) estimates were calculated using random-effects models. RESULTS: 37 studies (n=2721) were included; 24 (n=1989) contributed to meta-analysis. Abnormal aEEG background at 36 hours predicted adverse 2-year outcomes with sensitivity 0.83 (95% CI 0.70 to 0.92), specificity 0.88 (95% CI 0.79 to 0.93), DOR 33.06 (95% CI 12.87 to 84.94), AUC (0.88). Absence of sleep-wake cycling had high specificity 0.93 (95% CI 0.88 to 0.96), DOR 30.19 (95% CI 14.47 to 63.01) and AUC 0.88. Abnormal cNIRS demonstrated potential prognostic value at 36-48 hours with specificity 0.97 (95% CI 0.13-1.00), DOR 26.74 (95% CI 4.55 to 157.14) and AUC (0.86) at 36 hours. Acute pulmonary hypertension showed low overall discrimination, DOR 2.17 (95% CI 1.35 to 3.47) and (AUC 0.40). Right ventricular dysfunction showed higher specificity but substantial heterogeneity. CONCLUSIONS: Abnormal aEEG background at 36 hours provides reliable bedside prognostic information for 2-year outcomes in HIE. cNIRS may offer complementary value, whereas there is limited evidence supporting the utility of TnECHO alone. Multimodal methods may improve early prognostication.
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