Background: Few data have been published on the combined use of amplitude-integrated electroencephalography (aEEG) and near-infrared spectroscopy (NIRS) for outcome prediction in neonates cooled for hypoxic-ischemic encephalopathy (HIE). Objective: Our aim was to evaluate the predictive values and the most powerful predictive combinations of single aEEG and NIRS parameters and the respective cut-off values with regard to short-term outcomes in HIE II. Methods: aEEG and NIRS were prospectively studied at the Medical University of Vienna in the first 102 h of life with regard to magnetic resonance imaging (MRI). Thirty-two neonates diagnosed with HIE II treated with hypothermia were investigated. The measurement period was divided into 6-h epochs. According to MRI, 2 outcome groups were defined and predictive values of aEEG parameters, regional cerebral oxygen saturation (rScO2), and the additional value of both methods combined were studied. Receiver operating curves (ROC) were obtained and area under the curve (AUC) values were calculated. ROC were then used to detect the optimal cut-off points, sensitivity, specificity, positive predictive values, and negative predictive values. Results: At all time epochs, combined parameter scores were more predictive than single parameter scores. The highest AUC were observed between 18 and 60 h of cooling for the aEEG summation score (0.72-0.84) and for (background pattern + seizures) × rScO2 (0.79-0.85). At 42-60 h sensitivity was similar between those 2 scores (87.5-90.0%), but the addition of NIRS to aEEG led to an increase in specificity (from 52.4-59.1% to 72.7-90.5%). Conclusions: In HIE II, aEEG and NIRS are important predictors of short-term outcome. The combination of both methods improves prognostication. The highest predictive abilities were observed between 18 and 60 h of cooling.

Aim: To investigate the impact of the level of pain experienced by infants born preterm on neurodevelopmental outcomes during their stay in a neonatal intensive care unit.Method: In this retrospective data analysis we included all surviving infants born preterm with a gestational age between 23 and 32 weeks from 2011 to 2015, who were assessed using the Neonatal Pain, Agitation, and Sedation Scale and examined at 1 year of age using the Bayley Scales of Infant Development. We excluded all infants who had suffered severe neurological morbidities and undergone surgical interventions.Results: A total of 196 infants born preterm were included in the analyses: 105 in the ‘no pain group’ and 91 in the ‘pain group’. Significant differences between the groups were detected for both mental and motor development (p = 0.003, 95% confidence interval [CI] 2.23–10.92; p = 0.025, 95% CI 0.64–9.78). The results remained significant after controlling for other important medical conditions (p = 0.001, 95% CI −19.65 to −5.40; p = 0.010, 95% CI −16.18 to −2.29).Interpretation: Neonatal pain exposure was associated with altered neurodevelopmental outcomes of infants born very preterm at a corrected age of 12 months. This observation highlights the importance of adequate pain management to reduce the risk of poor neurodevelopmental outcomes in these vulnerable patients.

Background: The Bayley Scales of Infant and Toddler Development, third edition (Bayley-III) are widely used to assess the development of children born preterm. However, it is still unclear whether US norms are adequate for use in other populations. In 2014, the German version of the Bayley-III with German norms was published. Objectives: We aimed to compare the performance of very-preterm infants at one, two, and three years of age using the German versus US norms of the Bayley-III. Methods: All children born prior to 32 weeks of gestational age during 2012 and 2015 and taking part in the follow-up program of the Medical University of Vienna were assessed and scored according to both German and US norms by two expert clinical psychologists at the age of one, two, and three years of age. Results: In total, 843 tests were obtained from 450 children. When looking at scaled scores for cognitive, language, and motor outcomes, preterm children achieved significantly lower scores in nearly all subtests with the German as compared to the US norms. In addition, the proportion of impaired children scoring < 1 standard deviation (SD) and < 2 SD below the norm was significantly higher in nearly all subtests when using the German compared to the US norms (p < 0.05). Conclusions: Applying German and US norms of the Bayley-III leads to different outcomes in very-preterm children, and these differences are statistically significant and clinically relevant. Thus, comparisons of outcomes of very-preterm children using culturally specific norms are problematic, and these findings have to be considered.

Assessing pain in newborns in the NICU is crucial due to their frequent exposure to painful stimuli, yet it's challenging due to the subjective nature of current methods. This study aimed to evaluate the effectiveness of an AI system designed for automatic facial recognition by comparing its performance with the expert opinion of health care provider. This is a secondary analysis from an eye-tracking study, assessing neonatal pain evaluations by healthcare professionals. The performance of AI software, FaceReader 9, was compared to experts' evaluations using a visual-analog scale, focusing on identifying specific facial action units associated with different pain levels. The study found significant differences in AI-generated metrics—arousal and valence—across three stimulus types: non-noxious thermal, short-noxious, and prolonged-noxious, with p-values below 0.001. A strong correlation (r = 0.84, p ≤ .001) was observed between AI metrics and expert ratings. Eleven facial action units were identified as relevant to describe neonatal pain. The findings highlight the AI system's potential in accurately detecting and analyzing newborn facial expressions in response to varying pain intensities, demonstrating a significant correlation with healthcare professionals' assessments. This suggests that AI technology could enhance objective pain assessment in neonates.

Objective: The aim of the study was to determine the predictive power of the combined use of neurophysiological (amplitude-integrated electroencephalography [aEEG], near-infrared spectroscopy [NIRS]) methods and neuroimaging (magnetic resonance imaging [MRI]) for long-term outcome prediction in neonates with hypoxic-ischaemic encephalopathy (HIE). Study Design: Prospective cohort study of 56 patients with moderate to severe HIE and hypothermia treatment at the Medical University of Vienna between 2008 and 2020. aEEG and NIRS were recorded continuously over a period of >4 days (102 h) starting at the initiation of hypothermia treatment, MRI was performed at a median age of 8 days. Receiver operating characteristic curves and area under the curve were calculated to evaluate the prognostic ability of aEEG, NIRS, and MRI parameters for outcome assessed via Bayley Scales of Infant Development 3rd edition at 2 years of age. Results: Combined aEEG and MRI parameters showed highest predictive power regarding long-term outcome. The highest area under the curve values (0.96–0.99) were obtained for aEEG (combination of background pattern and sleep-wake cycling) between 66 and 102 h after initiation of hypothermia in combination with MRI findings. NIRS parameters did not differ significantly between infants with favourable and adverse outcome. Conclusions: Combined aEEG and MRI parameter scores were more predictive than single parameter scores. No further improvement was observed when combining aEEG/MRI with NIRS data.