Neonatal Assessment Research Articles

Trajectories of attention problems in preschoolers born very preterm.

Children born preterm are at heightened risk for neurodevelopmental impairment, including specific deficits in attention. Few studies have investigated change over time in attention problems prior to school entry. The current study aims to describe trajectories of attention problems from age 2 through 5 years in a cohort of children born <30 weeks of gestational age (GA), identify sociodemographic, medical, and neurobehavioral characteristics associated with attention trajectories, and test whether attention problem trajectories predict the risk of a reported attention-deficit/hyperactivity disorder (ADHD) diagnosis. We studied 608 infants from the Neonatal Neurobehavior and Outcomes in Very Preterm Infants (NOVI) Study, a prospective, multisite study of infants born <30 weeks of GA. Parents reported on child attention problems at ages 2, 3, 4, and 5 years using the Child Behavior Checklist and the Behavior Assessment System for Children. Sociodemographic and medical characteristics were assessed via maternal interview and medical record review. Neurobehavioral characteristics were determined using neonatal and 2-year assessments. Parent report of child ADHD diagnosis was obtained. We used latent growth curve (LGC) modeling to test our study aims. A linear LGC model provided the best fit to the data. The average trajectory of attention problems evidenced low initial levels of symptoms and little change over time, yet there was significant heterogeneity in both initial levels and change over time. Individual differences in trajectory parameters were associated with sociodemographic, medical, environmental, and neurobehavioral characteristics. Children with higher initial levels of attention problems as well as steeper increases in attention problems over time were more likely to have a reported ADHD diagnosis. There is significant heterogeneity in trajectories of attention problems from age 2 to 5 in children born <30 weeks of GA and these differences have clinical relevance. These data could inform follow-up guidelines for preterm infants.

Comparing nSOFA, CRIB-II, and SNAPPE-II for predicting mortality and short-term morbidities in preterm infants ≤32 weeks gestation

Background Neonatal illness severity scores are not extensively studied for their ability to predict mortality or morbidity in preterm infants. The aim of this study was to compare the Neonatal Sequential Organ Failure Assessment (nSOFA), Clinical Risk Index for Babies-II (CRIB-II), and Score for Neonatal Acute Physiology with Perinatal extension-II (SNAPPE-II) for predicting mortality and short-term morbidities in preterm infants ≤32 weeks. Methods In this retrospective study, infants born in 2017–2018 with gestational age (GA) ≤32 weeks were evaluated. nSOFA, CRIB-II, and SNAPPE-II scores were calculated for each patient, and the ability of these scores to predict mortality and morbidities was compared. The morbidities were categorized as mod/sev bronchopulmonary dysplasia (BPD), necrotizing enterocolitis (NEC) requiring surgery, early-onset sepsis (EOS), late-onset sepsis (LOS), retinopathy of prematurity (ROP) requiring treatment, and severe intraventricular hemorrhage (IVH). Calculating the area under the curve (AUC) on receiver operating characteristic curves (ROC) analysis to predict and compare scoring systems’ accuracy. Results A total of 759 preterm infants were enrolled, of whom 88 deceased. The median nSOFA, CRIB-II, and SNAPPE-II scores were 2 (0, 3), 6 (4, 8), and 13 (5, 26), respectively. Compared with infants who survived, these three scores were significantly higher in those who deceased (p < 0.05). For predicting mortality, the AUC of the nSOFA, SNAPPE-II, and CRIB-II were 0.90, 0.82, and 0.79, respectively. The nSOFA scoring system had significantly higher AUC than CRIB-II and SNAPPE-II (p < 0.05). However, short-term morbidities were not strongly correlated with these three scoring systems. Conclusion In infants ≤32 weeks gestation, nSOFA scoring system is more valuable in predicting mortality than SNAPPE-II and CRIB-II. However, further studies are required to assess the predictive power of neonatal illness severity scores for morbidity.

Neonatal Sequential Organ Failure Assessment Score Predicts Respiratory Outcomes in Preterm Newborns with Late-Onset Sepsis: A Retrospective Study

Introduction: Neonatal sequential organ failure assessment (nSOFA) score predicts mortality in preterm newborns. The aim of the study was to assess whether nSOFA score could predict respiratory outcomes in preterm infants with late-onset sepsis (LOS). Methods: This retrospective, observational, single-center study enrolled infants with gestational age <32 weeks born between January 2016 and June 2023 who experienced an episode of LOS during NICU stay. The primary outcome was death or bronchopulmonary dysplasia (BPD); secondary outcomes were BPD, death or mechanical ventilation (MV) on day 5 after the onset of LOS, and MV on day 5 after the onset of LOS. The nSOFA score was assessed at the onset of LOS and after 6 ± 1, 12 ± 3, and 24 ± 3 h. Results: Neonatal SOFA score was significantly higher in patients who developed each outcome versus those who did not at all timings. Maximal nSOFA score during the first 24 h after onset of LOS was an independent predictive factor for death or BPD (p = 0.007), BPD (p = 0.009), and death or MV on day 5 (p = 0.009), areas under the curve (AUC) were 0.740 (95% CI: 0.656–0.828), 0.700 (95% CI: 0.602–0.800), and 0.800 (95% CI: 0.710–0.889), respectively. Maximal nSOFA score also predicted moderate to severe BPD (p = 0.019) and death or moderate to severe BPD (p < 0.001). Maximal nSOFA ≥4 was associated with odds ratio (OR) of 7.37 (95% CI: 2.42–22.44) for death or BPD, 4.86 (95% CI: 1.54–15.28) for BPD, and 7.99 (95% CI: 3.47–18.36) for death or MV on day 5. AUC of the predicting model was 0.895 (95% CI: 0.801–0.928) for BPD, 0.897 (95% CI: 0.830–0.939) for death or BPD, 0.904 (95% CI: 0.851–0.956) for MV on day 5, 0.923 (95% CI: 0.892–0.973) for death or MV on day 5. Conclusion: Maximal nSOFA score during the first 24 h after the onset of LOS predicts respiratory outcomes and allows identification of patients who may crucially benefit from lung-protective measures.

Approach to neonatal thrombocytopenia.

A low platelet count (thrombocytopenia) is a common finding especially in neonates who are admitted to the neonatal intensive care unit. Due to the varied causes that can lead to neonatal thrombocytopenia, assessment and management can be challenging. Having an understanding of the causes of neonatal thrombocytopenia and their natural progression would help guide subsequent management. Therefore, we will be exploring the different circumstances where thrombocytopenia occurs and how to interpret and manage the neonate with thrombocytopenia in this interpretations article.

Comparative analysis of INTERGROWTH-21st and Fenton growth charts for birthweight classification in a multiethnic Asian cohort: a cross-sectional study.

The objective of this study is to evaluate the impact of using International Fetal and Newborn Growth Consortium for the 21st Century (INTERGROWTH-21st) (IG-21) growth standards compared with Fenton growth charts on birthweight classification in a multiethnic newborn cohort in Singapore. Cross-sectional study. KK Women's and Children's Hospital, Singapore. Study population included 2541 babies born between 16 December 2019 and 16 March 2020. None. Birthweight classifications of small for gestational age (SGA), appropriate for gestational age (AGA) and large for gestational age (LGA) were assessed using IG-21 and Fenton growth charts. The level of agreement between the two charts was measured using Cohen's kappa coefficient (K). Of 2541 neonates, 171 (6.7%) had discordant birthweight classifications. The kappa coefficient indicated moderate overall agreement (K=0.79) between the charts, with decreasing agreement from preterm (K=0.88) to full-term categories (K=0.71). The largest discordance was observed in 98 (60.5%) neonates classified as LGA by IG-21 but AGA by Fenton. In comparison, 60 (2.9%) neonates classified as AGA by IG-21 were SGA by Fenton, while 13 (4.6%) were SGA by IG-21 but AGA by Fenton. The study found discrepancies in birthweight classification between IG-21 and Fenton growth charts, with Fenton charts overclassifying SGA and underclassifying LGA in our study population. These findings suggest the potential need to integrate IG-21 growth standards into local practice to improve accuracy in neonatal growth assessment. Further research is necessary to evaluate the clinical implications of these discordant classifications on neonatal outcomes.

Near-Infrared Spectroscopy for Neonatal Sleep Classification.

Sleep, notably active sleep (AS) and quiet sleep (QS), plays a pivotal role in the brain development and gradual maturation of (pre) term infants. Monitoring their sleep patterns is imperative, as it can serve as a tool in promoting neurological maturation and well-being, particularly important in preterm infants who are at an increased risk of immature brain development. An accurate classification of neonatal sleep states can contribute to optimizing treatments for high-risk infants, with respiratory rate (RR) and heart rate (HR) serving as key components in sleep assessment systems for neonates. Recent studies have demonstrated the feasibility of extracting both RR and HR using near-infrared spectroscopy (NIRS) in neonates. This study introduces a comprehensive sleep classification approach leveraging high-frequency NIRS signals recorded at a sampling rate of 100 Hz from a cohort of nine preterm infants admitted to a neonatal intensive care unit. Eight distinct features were extracted from the raw NIRS signals, including HR, RR, motion-related parameters, and proxies for neural activity. These features served as inputs for a deep convolutional neural network (CNN) model designed for the classification of AS and QS sleep states. The performance of the proposed CNN model was evaluated using two cross-validation approaches: ten-fold cross-validation of data pooling and five-fold cross-validation, where each fold contains two independently recorded NIRS data. The accuracy, balanced accuracy, F1-score, Kappa, and AUC-ROC (Area Under the Curve of the Receiver Operating Characteristic) were employed to assess the classifier performance. In addition, comparative analyses against six benchmark classifiers, comprising K-Nearest Neighbors, Naive Bayes, Support Vector Machines, Random Forest (RF), AdaBoost, and XGBoost (XGB), were conducted. Our results reveal the CNN model's superior performance, achieving an average accuracy of 88%, a balanced accuracy of 94%, an F1-score of 91%, Kappa of 95%, and an AUC-ROC of 96% in data pooling cross-validation. Furthermore, in both cross-validation methods, RF and XGB demonstrated accuracy levels closely comparable to the CNN classifier. These findings underscore the feasibility of leveraging high-frequency NIRS data, coupled with NIRS-based HR and RR extraction, for assessing sleep states in neonates, even in an intensive care setting. The user-friendliness, portability, and reduced sensor complexity of the approach suggest its potential applications in various less-demanding settings. This research thus presents a promising avenue for advancing neonatal sleep assessment and its implications for infant health and development.

Evaluating neonatal pain via fusing vision transformer and concept-cognitive computing

In clinical nursing, neonatal pain assessment is a challenging task for preventing and controlling the impact of pain on neonatal development. To reduce the adverse effects of repetitive painful treatments during hospitalization on newborns, we propose a novel method (namely pain concept-cognitive computing model, PainC3M) for evaluating facial pain in newborns. In the fusion system, we first improve the attention mechanism of vision transformer by revising the node encoding way, considering the spatial structure, edge and centrality of nodes, and then use its corresponding encoder as a feature extractor to comprehensively extract image features. Second, we introduce a concept-cognitive computing model as a classifier to evaluate the level of pain. Finally, we evaluate our PainC3M on various open pain data sets and a real clinical pain data stream, and the experimental results demonstrate that our PainC3M is very effective for dynamic classification and superior to other comparative models. It also provides a good approach for pain assessment of individuals with aphasia (or dementia).

Impact of a qualitative assessment approach for neonatal abstinence syndrome management: experience of a European reference center

BackgroundThe management of infants at risk of neonatal abstinence syndrome (NAS) remains challenging. In 2000 Maternidade Bissaya Barreto implemented a strategy based on the qualitative assessment of neonates and in 2018 the Eat, Sleep, Console (ESC) approach, a tool based on similar concepts, was created. The aim is to assess the efficacy of a qualitative assessment of infants at risk, compare it with the ESC approach and report temporal trends of NAS in a European hospital.MethodsRetrospective cohort study of all infants of mothers with a history of drug abuse during pregnancy admitted to a tertiary European centre between January 2010 and December 2021. The therapeutical decision was guided by a qualitative assessment of the newborn’s well-being. The ESC approach was retrospectively determined. Pharmacologic treatment was used as a last resort. The clinical outcomes and therapeutic strategies employed were evaluated. Statistical association was evaluated. The incidence rate per 1000 births was calculated and temporal trend differences were identified.ResultsA total of 79 neonates at risk were included, of whom 40 (50.6%) developed NAS. Consolability was the most affected criterion (35.0%), followed by feeding difficulties (12.5%). Sleep was affected less frequently (5.0%). Overall, 37.5% of infants failed to meet at least one of the criteria. All neonates with a positive ESC failed the qualitative assessment (p = 1.000) After optimization of nonpharmacologic measures, drug therapy was still necessary in four cases (10.0% of infants with the syndrome). The incidence rate of NAS decreased from 3.9 per 1000 births in 2010 to 0.0 per 1000 births in 2021 (p = 0.025).ConclusionThe qualitative assessment of the infant based on the ability to feed, sleep and be consoled correctly identified neonates at risk and led to a significant reduction in the use of drug therapy. The incidence rate of NAS decreased during the study period.

A systematic catalog of studies on fetal heart rate pattern and neonatal outcome variables.

To study the methodology and results of studies assessing the relationship between fetal heart rate and specified neonatal outcomes including, heart rate, infection, necrotizing enterocolitis, intraventricular hemorrhage, hypoxic-ischemic encephalopathy, and seizure. Embase, Medline ALL, Web of Science Core Collection, Cochrane Central Register of Controlled Trials, and CINAHL were searched from inception to October 5, 2023. Forty-two studies were included, encompassing 57,232 cases that underwent fetal monitoring and were evaluated for neonatal outcome. Heterogeneity was observed in the timing and duration of fetal heart rate assessment, classification guidelines used, number of assessors, and definition and timing of neonatal outcome assessment. Nonreassuring fetal heart rate was linked to lower neonatal heart rate variability. A significant increase in abnormal fetal heart rate patterns were reported in neonates with hypoxic-ischemic encephalopathy, but the predictive ability was found to be limited. Conflicting results were reported regarding sepsis, seizure and intraventricular hemorrhage. No association was found between necrotizing enterocolitis rate and fetal heart rate. There is great heterogeneity in the methodology used in studies evaluating the association between fetal heart rate and aforementioned neonatal outcomes. Hypoxic-ischemic encephalopathy was associated with increased abnormal fetal heart rate patterns, although the predictive ability was low. Further research on developing and evaluating an automated early warning system that integrates computerized cardiotocography with a perinatal health parameter database to provide objective alerts for patients at-risk is recommended.

REIV-TOXO Project: Results from a Spanish cohort of congenital toxoplasmosis (2015-2022). The beneficial effects of prenatal treatment on clinical outcomes of infected newborns.

Some regions of Spain are withdrawing their pregnancy screening program for congenital toxoplasmosis (CT). The Spanish Research Network of Congenital Toxoplasmosis (REIV-TOXO) was created to describe the current status of CT in Spain. The aims of this study were to describe the epidemiological and clinical characteristics of CT and to evaluate the effect of prenatal treatment on clinical outcomes to inform decision-making policies. Ambispective observational study including CT cases recorded in the REIV-TOXO database that includes 122 hospitals (2015-2022). Inclusion criteria were one or more of the following: positive PCR in maternal amniotic fluid; positive Toxoplasma gondii-specific IgM or IgA antibodies at birth; positive PCR in the placenta, newborn blood, urine or CSF; increase of specific IgG levels during infant follow-up; or specific IgG persistence beyond age 12 months. Fifty-six newborns (54 pregnancies) were included. Prenatal screening allowed 92.8% of cases to be identified. The time of maternal infection was well documented in 90.7% of cases, with 61.1% occurring in the third trimester. A total of 66.6% (36/54) pregnant women received antiparasitic treatment: 24/36 spiramycin, 8/36 pyrimethamine, sulfadiazine, and folinic acid, and 4/36 both treatments sequentially. Most cases were asymptomatic at birth (62.5%, 35/56), and 84% (47/56) newborns completed one year of treatment. Median follow-up was 24 months (IQR = 3-72): 14.2% children exhibited new complications, mainly ocular. Newborns born to mothers treated prenatally had four-fold lower risk of CT clinical features at birth (p = 0.03) and six-fold lower risk of further complications during follow-up (p = 0.04) with no treatment-related differences during pregnancy. While diagnosis based only on neonatal assessment misses a significant number of CT cases, prenatal screening allows treatment to be started during pregnancy, with better clinical outcomes at birth and during follow-up. REIV-TOXO provides valuable information about CT in Spain, highlighting the need for universal maternal screening.

A survey on management practices of hypotension in preterm neonates: an Indian perspective.

Hypotension is a common entity in the neonatal intensive care unit (NICU) and is reported in 24%-50% of preterm infants with birth weight less than 1,500 g. Rapid diagnosis and aggressive management is crucial to reduce its detrimental effects on end-organs especially the brain. Physicians often rely on blood pressure alone as a reliable indicator of tissue perfusion, but variations exist in the definition of this crucial parameter. There are also practice variations in the use of diagnostic tools and management modalities among physicians. A physician-based cross-sectional survey of management practices of hypotension in preterm neonates in Indian NICUs was conducted using an online survey tool. The questionnaire addressed diagnostic criteria used, utility of echocardiography for the assessment of hypotension, and management strategies used, such as volume expansion, inotropes and steroids. Three hundred and twenty physicians, working predominantly in Level III NICUs, responded to the survey. The practice of delayed cord clamping was followed in the units of 78% respondents. Only 44% respondents had an institutional written protocol for the management of hypotension. The criteria for the diagnosis of hypotension varied, with 52% using mean blood pressure (BP) less than gestational age as the criteria. Capillary refill time, blood pressure and heart rate were the most common clinical criteria used. 85% respondents used echocardiography in the NICU, but only 73% utilised it for assessment of a hypotensive neonate. Physicians preferred a 'volume-inotrope-echo-steroid' strategy, with 85% respondents using volume expansion. Dopamine was the preferred first line inotrope, followed by norepinephrine and low-dose epinephrine. This survey reflects significant variations in practice amongst neonatal physicians in India. Bedside targeted echocardiography needs to be better utilised as a vital tool to determine the pathophysiology of disease and hemodynamic monitoring in the management of hypotension in neonates. While further research is needed on outcome-oriented objectives, awareness and dissemination of already existing guidelines would be useful to standardize clinical practice.

The role of multisensory intervention combined with aEEG in the maturation and evaluation of brain and neural development in premature infants of different gestational ages

Objective: To explore the combined effects of multisensory intervention and amplitude integrated electroencephalogram monitoring on the maturation and evaluation of brain and neural development in premature infants of different gestational ages.Methods: The controlled trial was carried out in 62 premature infants from January to February of 2023 in Genertec AMHT – Baogang Hospital. The premature infants were divided into two groups according to the gestational age: 32-33+6W (Group A) and 34-33+6W (Group B). By use of random number table method, each group was subdivided into the control group and the experimental group. The control group was monitored with aEEG within 1 day and the following 7 days after birth. The experimental group was monitored with aEEG within 1 day and the following 7 days after multisensory intervention (MS) to observe the change of aEEG parameters, in order to explore the effect of MS intervention on brain development maturity. The Neonatal Behavioral Neurological Assessment (NBNA) score was performed at 40 weeks of corrected gestational age in both groups.Results: The amplitude voltage, the total aEEG score and the sleep-wake cycle score in the experimental group were higher than those in the control group (p &lt; .05). The total NBNA score in the experimental group was higher than that in the control group.Conclusion: The multi-sensory intervention is a simple and feasible method of development support nursing, it can improve the total NBNA score of premature infants, which can promote the brain development in premature infants and improve their neurodevelopmental behavior.

Understanding stakeholder perspectives on Apgar score, cyanosis and identifying jaundice in ethnic minority neonates.

To explore neonatal assessments that include an element of evaluating skin colour in neonates of black, Asian and minority ethnicities, focusing on the Apgar score, presence of cyanosis and presence of jaundice. We employed focused ethnography involving diverse healthcare professionals (HCPs) and parents or caregivers with Black, Asian, or ethnic minority children born in the last five years. Zoom interviews were performed following a semi-structured interview guide. Ethnographic data analysis was conducted using NVivo software. There was a lack of consistency in how HCPs applied the Apgar scores, which also varied from textbook guidelines. The use of pink as a skin colour descriptor for ethnic minority neonates created a divide among both parents and HCPs. HCPs relied more heavily on other elements of the Apgar score or infant breathing and crying at birth to gauge infant wellness. When identifying cyanosis, HCPs depend on specific body locations for accurate assessment of oxygenation, but the limitations of visual assessment are acknowledged. For jaundice, most HCPs recognised the difficulty in identifying the colour yellow in infants with darker skin tones. HCPs focussed on yellowing of the sclera and gums and other well-being assessments to detect jaundice. Some interviewed parents noticed jaundice in their infants before HCPs but felt they were not listened to when raising concerns. HCPs acknowledged the need for additional training to effectively assess the health of ethnic minority infants. This study highlights disparities in neonatal health assessment from the perspectives of healthcare professionals and parents from diverse backgrounds. Varied practices in determining the Apgar score and recognising cyanosis and jaundice signal the need for standardised protocols, appropriate educational materials, and targeted training. Addressing these challenges is vital for equitable care, emphasising comprehensive training and bias mitigation efforts in maternal and neonatal healthcare.

Developing and Validating a Multimodal Dataset for Neonatal Pain Assessment to Improve AI Algorithms With Clinical Data.

Using Artificial Intelligence (AI) for neonatal pain assessment has great potential, but its effectiveness depends on accurate data labeling. Therefore, precise and reliable neonatal pain datasets are essential for managing neonatal pain. To develop and validate a comprehensive multimodal dataset with accurately labeled clinical data, enhancing AI algorithms for neonatal pain assessment. An assessment team randomly selected healthy neonates for assessment using the Neonatal Pain, Agitation, and Sedation Scale. During painful procedures, 2 cameras recorded neonates' pain reactions on site. After 2weeks, assessors labeled the processed pain data on the EasyDL platform in a single-anonymized setting. The pain scores from the 4 single-modal data types were compared to the total pain scores derived from multimodal data. The On-Site Neonatal Pain Assessment completed using paper quality scales is referred to as OS-NPA, while the modality-data neonatal pain labeling performed using labeling software is MD-NPL. The intraclass correlation coefficient among the 4 single-modal groups ranged from 0.938 to 0.969. The overall pain intraclass correlation coefficient score was 0.99, with a Kappa statistic for pain grade agreement of 0.899. The goodness-of-fit for the linear regression models comparing the OS-NPA and MD-NPL for each assessor was greater than 0.96. MD-NPL represents a productive alternative to OS-NPA for neonatal pain assessment, and the validity of the data labels within the Multimodality Dataset for Neonatal Acute Pain has been validating. These findings offer reliable validation for algorithms designed to assess neonatal pain.

Oral Feeding Readiness Assessment Tools for Preterm Infants

Due to their underdeveloped physiological maturity, preterm infants often face challenges related to sucking, breathing, and swallowing coordination during initial feeding. This lack of coordination may lead to episodes of apnea and choking, resulting in unstable vital signs. Preterm infants with this issue must gradually learn oral feeding skills appropriate to their developmental stage. Registered nurses play a critical role in assessing the right time to transition from tube to oral feeding and in providing a safe and positive oral feeding experience. In this article, three validated assessment tools for feeding premature infants are introduced, accompanied by clinical research data demonstrating their use in clinical practice. These three tools include: (1) the Neonatal Oral Motor Assessment Scale, which is applied to evaluate oral motor skills using observations of nonnutritive sucking and the sucking state during the two minutes before feeding; (2) the Premature Oral Feeding Readiness Assessment Scale, which is used to assess readiness for oral feeding in preterm infants; and (3) the Early Feeding Skills assessment, which is used to evaluate the oral feeding skills of preterm infants. These tools aid nurses in helping preterm infants achieve independent oral feeding, facilitating earlier discharge and return to home. The clinical implications and effectiveness of these tools are also discussed to provide to nurses the means and confidence necessary to apply them appropriately in clinical settings.

Comparative analysis of artificial intelligence and expert assessments in detecting neonatal procedural pain

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.

O73 - Online practical neonatal resuscitation assessments of midwifery students in regional and remote areas of Western Australia

O73 - Online practical neonatal resuscitation assessments of midwifery students in regional and remote areas of Western Australia

Changes in short-chain fatty acids affect brain development in mice with early life antibiotic-induced dysbacteriosis.

Early enteral nutrition and the gut microbiota profoundly influence neonatal brain development, with short-chain fatty acids (SCFAs) from the microbiota playing a pivotal role. Understanding the relationship between dysbiosis, SCFAs, and brain development is crucial. In this study, we investigated the impact of antibiotics on the concentration of SCFAs in neonatal feces. Additionally, we developed a model of gut dysbiosis in neonatal mice to examine the potential relationship between this imbalance, SCFAs production, and brain function development. We measured the SCFAs content in the feces of two groups of neonates, categorized based on whether antibiotics were used, and conducted the Neonatal Behavioral Neurological Assessment (NBNA) test on all neonates. Then we evaluated fecal SCFAs levels in neonates and neonatal mice post-antibiotic treatment using liquid chromatography-mass spectrometry (LC-MS) analysis. Morris water maze (MWM) tests assessed behavioral performance, and western blot analysis examined brain tissue-related proteins-neuron-specific enolase (NSE), ionized calcium binding adaptor molecule-1 (IBA1), and myelin basic proteins (MBP). The use of antibiotics did not affect the NBNA scores of the two groups of neonates, but it did reduce the SCFAs content in their feces. Antibiotic administration induced gut dysbiosis in mice, resulting in decreased IBA1 and MBP expression. Interventions to restore gut microbiota ameliorated these effects. Mice with dysbiosis displayed cognitive deficits in the MWM test. SCFAs levels decreased during dysbiosis, and increased upon microbiota recovery. Neonatal dysbiosis affects the microbiota-gut-brain axis, impairing cognitive function and nervous system development. Reduced SCFAs may contribute significantly to these alterations.

Long-term outcomes of congenital cytomegalovirus infection in children early identified by extended hearing-targeted screening

ObjectivesCongenital Cytomegalovirus (cCMV) has been associated with hearing, vision, and neurodevelopmental long-term sequelae. Despite the social burden associated with the disease, a universally accepted consensus on screening, diagnostic, therapeutic and follow-up approaches has not been reached. The present observational retrospective study aims at describing long-term sequelae and radiological abnormalities associated with cCMV in children early identified by extended hearing-targeted screening and evaluated by audiological follow-up in a single III Level Audiological Referral Center for at least 2 years. MethodsAudiological neonatal and follow-up data were available for all subjects. Data collection included clinical neonatal and virological assessment at birth. Ophthalmological, neurodevelopmental and neuroradiological follow-up abnormalities compatible with cCMV sequelae were collected by clinical reports. Spearman's rank correlation coefficient (rho-ρ) was used to evaluate possible correlations among the considered parameters. Results61 newborns were identified by extended hearing-targeted cCMV screening and diagnosed mostly (83.6 %) by PCR viral DNA extraction in urine collected within the 15° day of life. Seventeen babies were born preterm, with a mean gestational age of 33.5 weeks. Sixteen patients (26.2 %) were admitted to an Intensive or sub-Intensive Neonatal Care Unit. At birth, 35 newborns were symptomatic (57.3 %), and 19 of them received antiviral treatment by valganciclovir or ganciclovir. Overall, 20 children (32.7 %) were diagnosed with sensorineural hearing loss (SNHL), among them 17 (85 %) were refer at the newborn hearing screening while 3 (15 %) were Pass. 5/20 children (25 %) presented isolated SNHL, while in 15/20 (75 %) children SNHL was associated to other long-term sequelae. In 5 patients (25 %) a progression of the hearing threshold was observed, with a mean age of progression of 26 months of age. Risk factors for progression were a worse final hearing threshold (Spearman's ρ = 0.434; p = 0.0001) and a worse hearing threshold at birth (Spearman's ρ = 0.298; p = 0.020). Thirteen children were fitted with hearing aids, 8 of whom subsequently underwent cochlear implantation. Concerning long term impairments, 10/61 children (17 %) presented a variety of ophthalmological sequelae, while 16/40 cCMV patients (40 %) were diagnosed with neurodevelopmental abnormalities. Language delays were significantly associated with a worse hearing threshold (ρ = 0.582; p = 0.0001) and with other neurocognitive abnormalities (ρ = 0.677, p = 0.0001). 30 children underwent radiological brain evaluation by Magnetic Resonance Imaging, and 63.3 % of them presented abnormalities compatible with cCMV. Mean viral load at birth did not show significant associations with long-term sequelae. ConclusionsThe study highlights the diverse and significant long-term sequelae of cCMV infection detected through early screening. With a significant proportion of cCMV children developing sensorineural hearing loss, ophthalmological and neurodevelopmental issues, the results emphasize the importance of continuous, multidisciplinary follow-up. Early identification and tailored interventions are crucial for improving the long-term health and quality of life of children affected by cCMV.

Correlation of cardiotocography with combined APGAR scores and diagnostic performance of umbilical cord parameters in predicting low combined APGAR scores – A prospective Cohort study

ObjectivesCombined Apgar score includes utilization of interventions such as Continuous positive airway pressure, Oxygen, Mask and Bag ventilation, I ntubation and ventilation, Ne onatal chest compression, Drugs, and newborn assessment. It has been proposed as a substitute for conventional Apgar score which is the gold standard for evaluating newborns right after birth but is impacted by medical interventions and preterm. Combined Apgar scores were examined to check for correlation with CTG tracing and umbilical cord blood parameters which gives an objective assessment of fetal hypoxia, in response to the demand for a more accurate tool for evaluating the neonate and to be used for medico-legal purposes. The study's objectives were to (1) determine the association of combined Apgar scores with suspicious and pathological CTG (2) the association of umbilical cord parameters with low combined Apgar scores and the diagnostic performance of these parameters in predicting low combined Apgar scores. Study designA prospective observational cohort study was conducted in a tertiary care center in East India. 2350 consecutive laboring mothers who had completed 34 weeks of gestation underwent cardiotocography according to institutional protocol and those with suspicious and pathological CTG who delivered within 1 h of abnormal CTG were recruited. Arterial blood was analyzed and the newborn was evaluated immediately after delivery with a combined Apgar scoring system ResultsOf the 2350 women, 50.7 % and 49.3 %, respectively, exhibited suspicious and abnormal CTG tracings. CTG was reported to have low diagnostic accuracy and specificity, with a sensitivity of 66.7 % and 88.9 %, respectively, in detecting combined Apgar at 1 and 5 min. The combined Apgar score at five minutes showed a strong association with acidosis. There was a statistically significant correlation between low combined Apgar and excess lactate and base at one and five minutes. With 100 % sensitivity and 95 % specificity, high lactate levels > 4.1 mM/L were found to predict newborn encephalopathy. ConclusionUmbilical cord blood parameters were found to be correlated with low combined Apgar scores. Combined Apgar scores may be a more useful tool for neonatal assessment and long-term morbidity of newborns. Additional research is required to determine whether it can take the role of conventional Apgar scores in clinical practice.