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. 2025 Jun 6;15(1):19879.
doi: 10.1038/s41598-025-04271-2.

Electroencephalography and optical neuromonitoring predict short-term outcomes in neonates undergoing therapeutic hypothermia for hypoxic-ischemic encephalopathy

Affiliations

Electroencephalography and optical neuromonitoring predict short-term outcomes in neonates undergoing therapeutic hypothermia for hypoxic-ischemic encephalopathy

Rasheda Arman Chowdhury et al. Sci Rep. .

Abstract

Electroencephalography (EEG) and optical neuromonitoring were used to predict short-term outcomes in neonates undergoing therapeutic hypothermia (TH) for hypoxic-ischemic encephalopathy (HIE). Fifty-two neonates undergoing TH for HIE were prospectively recruited. Continuous EEG monitoring was initiated within 24 h of life and a quantitative discontinuity index was calculated. Combined frequency-domain near infrared spectroscopy (FDNIRS) and diffuse correlation spectroscopy (DCS) were initiated within 48 h of life and used to measure cerebral hemoglobin oxygen saturation (SO2) and a cerebral blood flow index. Using these parameters and hemoglobin concentration measurements, cerebral oxygen extraction fraction (OEF), indices of cerebral oxygen delivery and metabolism (CMRO2i) as well as cerebral oxygen reserve (CRO2) were derived. Short-term outcome was classified based on brain injury pattern on magnetic resonance imaging and/or death; as normal-mild, moderate or severe outcome. Results showed that EEG discontinuity index, SO2 and CRO2 were higher and OEF lower in neonates with severe compared to normal-mild and moderate outcomes during TH. EEG discontinuity index was the most accurate and earliest parameter to identify moderate vs. severe outcomes while CMRO2i identified normal-mild vs. moderate outcomes as early as day 2 of TH. Combining EEG and FDNIRS-DCS parameters improved area-under-the-curve, sensitivity and specificity for most of the predictive models.

Keywords: Diffuse correlation spectroscopy (DCS); Electroencephalography (EEG); Frequency-domain near infrared spectroscopy (FDNIRS); Hypoxic-ischemic encephalopathy (HIE); Magnetic resonance imaging (MRI); Predictive models.

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Conflict of interest statement

Declarations. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Boxplot representation of the EEG discontinuity index in patients with normal-mild (white), moderate (light gray) and severe (dark gray) short-term outcomes during therapeutic hypothermia day 1 (TH1), day 2 (TH2), day 3 (TH3), rewarming (Rewarm) and post-therapy (Post-TH). Mean, median and outliers are represented by squares (■), lines (▬) and plus ( +) symbols, respectively. *p < 0.05; **p < 0.01; ***p < 0.001.
Fig. 2
Fig. 2
Boxplot representation of (A) cerebral oxygen hemoglobin saturation (SO2), (B) cerebral oxygen extraction fraction (OEF), (C) cerebral oxygen reserve (CRO2), and (D) cerebral metabolic rate of oxygen consumption (CMRO2i) in HIE neonates with normal-mild (white), moderate (light gray) and severe (dark gray) short-term outcomes during therapeutic hypothermia day 2 (TH2), day 3 (TH3), rewarming (Rewarm), post-therapy (Post-TH) and before discharge (Pre-DC). Mean, median and outliers are represented by squares (■), lines (▬) and plus ( +) symbols, respectively. *p < 0.05; **p < 0.01; ***p < 0.001.

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