A practical magnetic-resonance imaging score for outcome prediction in comatose cardiac arrest survivors.

AIM: Magnetic Resonance Imaging (MRI) is an important prognostic tool in cardiac arrest (CA) survivors given its sensitivity for detecting hypoxic-ischemic brain injury (HIBI), however, it is limited by poorly defined objective thresholds. To address this limitation, we evaluated a qualitative MRI score for predicting neurological outcome in CA survivors. METHODS: Adult comatose CA survivors who underwent MRI were retrospectively identified at a single academic medical center. Two blinded neurointensivists qualitatively scored HIBI amongst 12 MRI brain regions. Scores were summated to form four distinct score groups: cortex, deep grey nuclei (DGN), cortex-DGN combined, and total (cortex, DGN, brainstem, and cerebellum). Poor neurological outcome was defined as Cerebral Performance Category (CPC) score 3-5 at hospital discharge. Inter-rater reliability was tested using intra-class correlation (ICC) and discrimination of poor neurological outcome assessed using area under the receiver operating curve (AUC). RESULTS: Our cohort included 219 patients with median time to MRI of 96 (IQR 81-110) hours. ICC (95% CI) was good to excellent across all MRI scores: cortex 0.92 (0.89-0.94), DGN 0.88 (0.80-0.92), cortex-DGN 0.94 (0.92-0.95), and total 0.93 (0.91-0.95). AUC (95% CI) for poor outcome was good across all MRI scores: cortex 0.84 (0.78-0.90), DGN 0.83 (0.77-0.89), cortex-DGN 0.83 (0.77-0.89), and total 0.83 (0.77-0.88). CONCLUSION: A simplified, qualitative MRI score had excellent reliability and good discrimination for poor neurologic outcome. Further work is necessary to externally validate our findings in an independent, ideally prospective, cohort.

Early automated classification of neonatal hypoxic-ischemic encephalopathy - An aid to the decision to use therapeutic hypothermia.

OBJECTIVE: The study aimed to address the challenge of early assessment of neonatal hypoxic-ischemic encephalopathy (HIE) severity to identify candidates for therapeutic hypothermia (TH). The objective was to develop an automated classification model for neonatal EEGs, enabling accurate HIE severity assessment 24/7. METHODS: EEGs recorded within 6 h of life after perinatal anoxia were visually graded into 3 severity groups (HIE French Classification) and quantified using 6 qEEG markers measuring amplitude, continuity and frequency content. Machine learning models were developed on a dataset of 90 EEGs and validated on an independent dataset of 60 EEGs. RESULTS: The selected model achieved an overall accuracy of 80.6% in the development phase and 80% in the validation phase. Notably, the model accurately identified 28 out of 30 children for whom TH was indicated after visual EEG analysis, with only 2 cases (moderate EEG abnormalities) not recommended for cooling. CONCLUSIONS: The combination of clinically relevant qEEG markers led to the development of an effective automated EEG classification model, particularly suited for the post-anoxic latency phase. This model successfully discriminated neonates requiring TH. SIGNIFICANCE: The proposed model has potential as a bedside clinical decision support tool for TH.

Causes and Terminology in Neonatal Encephalopathy: What is in a Name? Neonatal Encephalopathy, Hypoxic-ischemic Encephalopathy or Perinatal Asphyxia.

Neurologic depression in term/near-term neonates (neonatal encephalopathy, NE) is uncommon with modern obstetric care. Asphyxial birth, with or without co-factors, accounts for a minority of NE, while maldevelopment (congenital malformations, growth aberrations, genetic, metabolic and placental abnormalities) plays an enlarging role in identifying etiologic subgroups of NE. The terms NE and hypoxic-ischemic encephalopathy (HIE) have not been employed uniformly, hampering research and clinical care. The authors propose the term NE as an early working-diagnosis, to be supplemented by a diagnosis of NE due to HIE or to other factors, as a final diagnosis once workup is complete.

Advances in Electroencephalographic Biomarkers of Neonatal Hypoxic Ischemic Encephalopathy.

Electroencephalography (EEG) is a key objective biomarker of newborn brain function, delivering critical, cotside insights to aid the management of encephalopathy. Access to continuous EEG is limited, forcing reliance on subjective clinical assessments. In hypoxia ischaemia, the primary cause of encephalopathy, alterations in EEG patterns correlate with. injury severity and evolution. As HIE evolves, causing secondary neuronal death, EEG can track injury progression, informing neuroprotective strategies, seizure management and prognosis. Despite its value, challenges with interpretation and lack of on site expertise has limited its broader adoption. Technological advances, particularly in digital EEG and machine learning, are enhancing real-time analysis. This will allow EEG to expand its role in HIE diagnosis, management and outcome prediction.

Key Inflammatory Biomarkers in Perinatal Asphyxia: A Comprehensive Review.

This article summarizes the current evidence regarding inflammatory biomarkers (placental and postnatal) and provides a comprehensive understanding of their roles: (1) diagnostic accuracy to predict the severity of hypoxic-ischemia encephalopathy (HIE), (2) value in assessing treatment responses, and (3) prediction of both short- and long-term neurodevelopmental outcomes. In the early critical stages of perinatal asphyxia, inflammatory biomarkers may guide clinical decision-making. Additional research is required to increase our understanding of the optimal utility of biomarkers to predict the severity, evolution, and developmental outcomes after exposure to HIE.

Artificial Intelligence Outcome Prediction in Neonates with Encephalopathy (AI-OPiNE).

Purpose To develop a deep learning algorithm to predict 2-year neurodevelopmental outcomes in neonates with hypoxic-ischemic encephalopathy using MRI and basic clinical data. Materials and Methods In this study, MRI data of term neonates with encephalopathy in the High-dose Erythropoietin for Asphyxia and Encephalopathy (HEAL) trial (ClinicalTrials.gov: NCT02811263), who were enrolled from 17 institutions between January 25, 2017, and October 9, 2019, were retrospectively analyzed. The harmonized MRI protocol included T1-weighted, T2-weighted, and diffusion tensor imaging. Deep learning classifiers were trained to predict the primary outcome of the HEAL trial (death or any neurodevelopmental impairment at 2 years) using multisequence MRI and basic clinical variables, including sex and gestational age at birth. Model performance was evaluated on test sets comprising 10% of cases from 15 institutions (in-distribution test set, n = 41) and 10% of cases from two institutions (out-of-distribution test set, n = 41). Model performance in predicting additional secondary outcomes, including death alone, was also assessed. Results For the 414 neonates (mean gestational age, 39 weeks ± 1.4 [SD]; 232 male, 182 female), in the study cohort, 198 (48%) died or had any neurodevelopmental impairment at 2 years. The deep learning model achieved an area under the receiver operating characteristic curve (AUC) of 0.74 (95% CI: 0.60, 0.86) and 63% accuracy in the in-distribution test set and an AUC of 0.77 (95% CI: 0.63, 0.90) and 78% accuracy in the out-of-distribution test set. Performance was similar or better for predicting secondary outcomes. Conclusion Deep learning analysis of neonatal brain MRI yielded high performance for predicting 2-year neurodevelopmental outcomes. Keywords: Convolutional Neural Network (CNN), Prognosis, Pediatrics, Brain, Brain Stem Clinical trial registration no. NCT02811263 Supplemental material is available for this article. © RSNA, 2024 See also commentary by Rafful and Reis Teixeira in this issue.

Amplitude-Integrated EEG in Infants at Risk of Hypoxic-Ischemic Encephalopathy: A Feasibility Study in Road and Air Transport in Western Australia.

Infants at risk of HIE require early identification and initiation of therapeutic hypothermia (TH). Earlier treatment with TH is associated with better outcomes. aEEG is frequently used when making the decision whether to commence TH. As this is often limited to tertiary centers, TH may be delayed if the infant requires transport to a center that provides it. We aimed to provide a method for the application of amplitude-integrated electroencephalogram (aEEG) and to determine the feasibility of acquiring clinically meaningful information during transport. All infants ≥35 weeks, at risk of HIE at referral, were eligible for inclusion. Scalp electrodes were placed in the C3-C4; P3-P4 position on the infant's scalp and connected to the aEEG amplifier. The aEEG amplifier was, in turn, connected to a clinical tablet computer with EEG software to collect and analyze aEEG information. Recordings were reviewed by the chief principal investigator and two independent reviewers (blinded) for background trace and artifact. Predefined criteria for data quality were set to movement artifacts and software impedance notifications. Surveys were completed by healthcare staff and parents for acceptability and ease of use.

Neuromonitoring in neonatal intensive care units-an important need towards individualized neuroprotective care.

Neuromonitoring has been widely accepted as an important part in neonatal care. Amplitude-integrated EEG (aEEG) and near-infrared spectroscopy (NIRS) are often mentioned in this context, though being only a part of the fully array of methods and examinations that could be considered neuromonitoring. Within the broad array of medical conditions that could be encountered in a neonatal patient, it is important to be aware of the indications for neuromonitoring and especially which neuromonitoring technique to use best for the individual condition. aEEG is now a widely accepted neuromonitor in neonatology with its value in hypoxic events and seizures only rarely questioned. Other methods like NIRS still have to prove themselves in the future. The SafeBoosC-III trial showed that it still remains difficult for some of these methods to prove their value for the improvement of outcome. Bute future developments such as multimodal neuromonitoring with data integration and artificial intelligence analysis could improve the value of these methods.

Evaluation of Myocardial Injury Using Serum Cardiac Troponin-I in Asphyxiated Neonates at Enugu State University Teaching Hospital, Enugu, South-East Nigeria.

BACKGROUND: The burden of perinatal asphyxia remains high in our environment and when asphyxia is severe, vital organs are affected, with resultant multiorgan hypoxic-iscahemic injury to the heart, the brain, adrenals and other organs. STUDY AIM: To evaluate for myocardial injury in asphyxiated term neonates with hypoxic ischaemic encephalopathy using serum cardiac troponin-I (cTnI). METHODS: The study was a hospital-based descriptive cross-sectional study involving sixty term asphyxiated neonates and sixty gestational age-and sex-matched controls. The subjects were term neonates with five-minute Apgar score ≤ 6 and HIE while the controls were healthy term neonates with five-minute Apgar score > 6. Five-minute Apgar score was utilized to classify asphyxia into mild, moderate and severe asphyxia. The degree of encephalopathy was determined by modified Sarnat and Sarnat criteria. The serum cTnI was measured in subjects and controls at 12-24 hours of life using Enzyme-linked immunosorbent assay technique. The serum bilirubin levels were also measured in participants to exclude hyperbilirubinemia. RESULTS: The median serum cTnI levels was significantly higher in the subjects (0.56ng/mL; 0.25-0.94ng/mL) than in the controls (0.50ng/mL; 0.00-0.67ng/mL), respectively; p=0.001. Similarly, the median serum cTnI level in HIE stage II (0.56ng/mL; 0.38-0.72ng/mL) or III (0.56ng/ml; 0.50-0.94ng/mL) was also significantly higher than the median value in HIE stage I (0.38ng/mL;0.25-0.72ng/mL) or in controls (0.50ng/mL; 0.00-0.67ng/mL); p<0.001. There was significant positive correlation between serum cTnI levels and severity of HIE in asphyxiated neonates (rs = 0.505, p < 0.001). CONCLUSION: serum cTnI levels were elevated in severely asphyxiated neonates with HIE. The concentration of serum cTnI demonstrated significant positive correlation with HIE severity. Hence, the presence of HIE in asphyxiated neonates should prompt an evaluation for myocardial injury using serum cTnI. Any derangement noted should warrant instituting cardiovascular support in order to improve outcome and reduce asphyxia-related mortality.

Heart rate variability for neuro-prognostication after CA: Insight from the Parisian registry.

BACKGROUND: Hypoxic ischemic brain injury (HIBI) induced by cardiac arrest (CA) seems to predominate in cortical areas and to a lesser extent in the brainstem. These regions play key roles in modulating the activity of the autonomic nervous system (ANS), that can be assessed through analyses of heart rate variability (HRV). The objective was to evaluate the prognostic value of various HRV parameters to predict neurological outcome after CA. METHODS: Retrospective monocentric study assessing the prognostic value of HRV markers and their association with HIBI severity. Patients admitted for CA who underwent EEG for persistent coma after CA were included. HRV markers were computed from 5 min signal of the ECG lead of the EEG recording. HRV indices were calculated in the time-, frequency-, and non-linear domains. Frequency-domain analyses differentiated very low frequency (VLF 0.003-0.04 Hz), low frequency (LF 0.04-0.15 Hz), high frequency (HF 0.15-0.4 Hz), and LF/HF ratio. HRV indices were compared to other prognostic markers: pupillary light reflex, EEG, N20 on somatosensory evoked potentials (SSEP) and biomarkers (neuron specific enolase-NSE). Neurological outcome at 3 months was defined as unfavorable in case of best CPC 3-4-5. RESULTS: Between 2007 and 2021, 199 patients were included. Patients were predominantly male (64%), with a median age of 60 [48.9-71.7] years. 76% were out-of-hospital CA, and 30% had an initial shockable rhythm. Neurological outcome was unfavorable in 73%. Compared to poor outcome, patients with a good outcome had higher VLF (0.21 vs 0.09 ms2/Hz, p < 0.01), LF (0.07 vs 0.04 ms2/Hz, p = 0.003), and higher LF/HF ratio (2.01 vs 1.01, p = 0.008). Several non-linear domain indices were also higher in the good outcome group, such as SD2 (15.1 vs 10.2, p = 0.016) and DFA α1 (1.03 vs 0.78, p = 0.002). These indices also differed depending on the severity of EEG pattern and abolition of pupillary light reflex. These time-frequency and non-linear domains HRV parameters were predictive of poor neurological outcome, with high specificity despite a low sensitivity. CONCLUSION: In comatose patients after CA, some HRV markers appear to be associated with unfavorable outcome, EEG severity and PLR abolition, although the sensitivity of these HRV markers remains limited.

Emergent Management of Hypoxic-Ischemic Brain Injury.

OBJECTIVE: This article outlines interventions used to improve outcomes for patients with hypoxic-ischemic brain injury after cardiac arrest. LATEST DEVELOPMENTS: Emergent management of patients after cardiac arrest requires prevention and treatment of primary and secondary brain injury. Primary brain injury is minimized by excellent initial resuscitative efforts. Secondary brain injury prevention requires the detection and correction of many pathophysiologic processes that may develop in the hours to days after the initial arrest. Key physiologic parameters important to secondary brain injury prevention include optimization of mean arterial pressure, cerebral perfusion, oxygenation and ventilation, intracranial pressure, temperature, and cortical hyperexcitability. This article outlines recent data regarding the treatment and prevention of secondary brain injury. Different patients likely benefit from different treatment strategies, so an individualized approach to treatment and prevention of secondary brain injury is advisable. Clinicians must use multimodal sources of data to prognosticate outcomes after cardiac arrest while recognizing that all prognostic tools have shortcomings. ESSENTIAL POINTS: Neurologists should be involved in the postarrest care of patients with hypoxic-ischemic brain injury to improve their outcomes. Postarrest care requires nuanced and patient-centered approaches to the prevention and treatment of primary and secondary brain injury and neuroprognostication.

Quality assessment of clinical practice guidelines on hypoxic-ischaemic encephalopathy in newborns using the AGREE II tool: a systematic review.

INTRODUCTION: Hypoxic-ischaemic encephalopathy is a clinical syndrome of neurological dysfunction that occurs immediately after birth following an episode of perinatal asphyxia. We conducted a scoping review to assess the methodological quality of clinical practice guidelines that address this condition. METHODOLOGY: We conducted the evaluation using the AGREE II tool. High methodological quality was defined as a score greater than 70% in every domain. RESULTS: The analysis included three clinical practice guidelines; the highest scores were in the scope and purpose domain (84.26%; SD, 14.25%) and the clarity of presentation domain (84.26%; SD, 17.86%), while the lowest score corresponded to the applicability domain (62.50%; SD, 36.62%). Two guidelines were classified as high quality and one guideline as low-quality. CONCLUSIONS: Two of the assessed guidelines were classified as being of high quality; however, the analysis identified shortcomings in the applicability domain, in addition to methodological variation between guidelines developed in middle- or low-income countries versus high-income countries. Efforts are needed to make high-quality guidelines available to approach the management of hypoxic-ischaemic encephalopathy in newborns.

Neonatal Seizures.

Neonatal seizures are common among patients with acute brain injury or critical illness and can be difficult to diagnose and treat. The most common etiology of neonatal seizures is hypoxic-ischemic encephalopathy, with other common causes including ischemic stroke and intracranial hemorrhage. Neonatal clinicians can use a standardized approach to patients with suspected or confirmed neonatal seizures that entails laboratory testing, neuromonitoring, and brain imaging. The primary goals of management of neonatal seizures are to identify the underlying cause, correct it if possible, and prevent further brain injury. This article reviews recent evidence-based guidelines for the treatment of neonatal seizures and discusses the long-term outcomes of patients with neonatal seizures.

Umbilical artery eucapnic pH to assess fetal well-being.

BACKGROUND: Umbilical artery gas results help obstetricians assess fetal well-being during labor and guide screening decisions on eligibility for therapeutic hypothermia (ie, whole-body or head cooling). The accuracy of results, especially for the base deficit on arterial cord gas analysis, in predicting brain injury is questioned. A novel biomarker specifically calculated for fetal acid-base physiology and response to asphyxia-neonatal eucapnic pH as a marker of neonatal metabolic acidosis-has the potential to be an accurate predictor of hypoxic-ischemic encephalopathy. OBJECTIVE: We aimed to compare false-negative rates of hypoxic-ischemic encephalopathy for umbilical artery pH, base deficit, and neonatal eucapnic pH in assessing fetal acid-base balance as a marker of fetal well-being and predicting acute brain injury. STUDY DESIGN: This is a retrospective single-center cohort study of newborns ≥ 35 weeks of gestation diagnosed with hypoxic-ischemic encephalopathy. We compared false-negative rates for any grade of hypoxic-ischemic encephalopathy using unilateral paired chi-square statistical analysis based on cutoff values for umbilical artery pH ≤7.00, base deficit ≥16 mmol/L, base deficit ≥12 mmol/L and neonatal eucapnic pH ≤7.14. We performed an analysis of variance between umbilical artery pH, base deficit, and neonatal eucapnic pH for each hypoxic-ischemic encephalopathy grade. RESULTS: We included 113 newborns. False-negative rate for hypoxic-ischemic encephalopathy was significantly higher for base deficit <16 mmol/L (n=78/113; 69.0%) than <12 mmol/L (n=46/113; 40.7%), pH >7.00 (n=41/113; 36.3%), or neonatal eucpanic pH >7.14 (n=35/113; 31.0%) (P<.0001). All true-positive cases were identified using only umbilical artery pH and neonatal eucapnic pH. Base deficit ≥16 or ≥12 mmol/L did not add any value in identifying newborns with hypoxic-ischemic encephalopathy when using umbilical artery pH and neonatal eucapnic pH. No association emerged between any marker and hypoxic-ischemic encephalopathy severity grading. CONCLUSION: Our findings support the accuracy of neonatal eucapnic pH to assess fetal well-being during labor and to improve predictive performance for acute brain injury. Neonatal eucpanic pH, in addition to umbilical artery pH, may be a viable alternative in identifying newborns at risk for hypoxic-ischemic encephalopathy.

General movement assessment efficacy for assessment of nervous system integrity in children after hypoxic-ischemic encephalopathy in middle income countries.

BACKGROUND: Many infants who survive hypoxic-ischemic encephalopathy (HIE) face long-term complications like epilepsy, cerebral palsy, and developmental delays. Detecting and forecasting developmental issues in high-risk infants is critical. AIM: This study aims to assess the effectiveness of standardized General Movements Assessment (GMA) and Hammersmith Infant Neurological Examinations (HINE) in identifying nervous system damage and predicting neurological outcomes in infants with HIE. DESIGN: Prospective. SUBJECTS AND MEASURES: We examined full-term newborns with perinatal asphyxia, classifying them as Grade 2 HIE according to Sarnat and Sarnat. The study included 31 infants, with 14 (45.2 %) receiving therapeutic hypothermia (Group 1) and 17 (54.8 %) not (Group 2). We evaluated general movements during writhing and fidgety phases and conducted neurological assessments using the HINE. RESULTS: All infants exhibited cramped-synchronized - like movements, leading to cerebral palsy (CP) diagnosis. Three children in Group 1 and four in Group 2 lacked fidgety movements. During active movements, HINE and GMA showed high sensitivity and specificity, reaching 96 % and 100 % for all children. The ROC curve's area under the curve (AUC) was 0.978. CONCLUSION: Our study affirms HINE and GMA as effective tools for predicting CP in HIE-affected children. GMA exhibits higher sensitivity and specificity during fidgety movements. However, study limitations include a small sample size and data from a single medical institution, necessitating further research.

Clinical outcome prediction with an automated EEG trend, Brain State of the Newborn, after perinatal asphyxia.

OBJECTIVE: To evaluate the utility of a fully automated deep learning -based quantitative measure of EEG background, Brain State of the Newborn (BSN), for early prediction of clinical outcome at four years of age. METHODS: The EEG monitoring data from eighty consecutive newborns was analyzed using the automatically computed BSN trend. BSN levels during the first days of life (a of total 5427 hours) were compared to four clinical outcome categories: favorable, cerebral palsy (CP), CP with epilepsy, and death. The time dependent changes in BSN-based prediction for different outcomes were assessed by positive/negative predictive value (PPV/NPV) and by estimating the area under the receiver operating characteristic curve (AUC). RESULTS: The BSN values were closely aligned with four visually determined EEG categories (p < 0·001), as well as with respect to clinical milestones of EEG recovery in perinatal Hypoxic Ischemic Encephalopathy (HIE; p < 0·003). Favorable outcome was related to a rapid recovery of the BSN trend, while worse outcomes related to a slow BSN recovery. Outcome predictions with BSN were accurate from 6 to 48 hours of age: For the favorable outcome, the AUC ranged from 95 to 99% (peak at 12 hours), and for the poor outcome the AUC ranged from 96 to 99% (peak at 12 hours). The optimal BSN levels for each PPV/NPV estimate changed substantially during the first 48 hours, ranging from 20 to 80. CONCLUSIONS: We show that the BSN provides an automated, objective, and continuous measure of brain activity in newborns. SIGNIFICANCE: The BSN trend discloses the dynamic nature that exists in both cerebral recovery and outcome prediction, supports individualized patient care, rapid stratification and early prognosis.

Hypoxic-ischaemic encephalopathy code: A systematic review for resource-limited settings.

It is estimated that 96% of infants with hypoxic-ischaemic encephalopathy (HIE) are born in resource-limited settings with no capacity to provide the standard of care that has been established for nearly 15 years in high-resource countries, which includes therapeutic hypothermia (TH), continuous electroencephalographic monitoring and magnetic resonance imaging (MRI) in addition to close vital signs and haemodynamic monitoring. This situation does not seem to be changing; however, even with these limitations, currently available knowledge can help improve the care of HIE patients in resource-limited settings. The purpose of this systematic review was to provide, under the term "HIE Code", evidence-based recommendations for feasible care practices to optimise the care of infants with HIE and potentially help reduce the risks associated with comorbidity and improve neurodevelopmental outcomes. The content of the HIE code was grouped under 9 headings: (1) prevention of HIE, (2) resuscitation, (3) first 6h post birth, (4) identification and grading of encephalopathy, (5) seizure management, (6) other therapeutic interventions, (7) multiple organ dysfunction, (8) diagnostic tests and (9) family care.

Clinical exome sequencing uncovers genetic disorders in neonates with suspected hypoxic-ischemic encephalopathy: A retrospective analysis.

Hypoxic-ischemic encephalopathy (HIE) occurs in up to 7 out of 1000 births and accounts for almost a quarter of neonatal deaths worldwide. Despite the name, many newborns with HIE have little evidence of perinatal hypoxia. We hypothesized that some infants with HIE have genetic disorders that resemble encephalopathy. We reviewed genetic results for newborns with HIE undergoing exome or genome sequencing at a clinical laboratory (2014-2022). Neonates were included if they had a diagnosis of HIE and were delivered ≥35 weeks. Neonates were excluded for cardiopulmonary pathology resulting in hypoxemia or if neuroimaging suggested postnatal hypoxic-ischemic injury. Of 24 patients meeting inclusion criteria, six (25%) were diagnosed with a genetic condition. Four neonates had variants at loci linked to conditions with phenotypic features resembling HIE, including KIF1A, GBE1, ACTA1, and a 15q13.3 deletion. Two additional neonates had variants in genes not previously associated with encephalopathy, including DUOX2 and PTPN11. Of the six neonates with a molecular diagnosis, two had isolated HIE without apparent comorbidities to suggest a genetic disorder. Genetic diagnoses were identified among neonates with and without sentinel labor events, abnormal umbilical cord gasses, and low Apgar scores. These results suggest that genetic evaluation is clinically relevant for patients with perinatal HIE.

Desarrollo motor, cognitivo y conductual tras encefalopatía hipóxico-isquémica neonatal / Motor, cognitive and behavioural outcomes after neonatal hypoxic-ischaemic encephalopathy

Introducción: El neurodesarrollo actual de pacientes con encefalopatía hipóxico-isquémica (EHI) neonatal en España se desconoce. Recientes estudios europeos destacan el desplazamiento de la patología grave hacia trastornos motores leves y problemas emocionales. El objetivo de este estudio fue analizar el estado neuroevolutivo integral a los 3años de una cohorte de neonatos con EHI. Pacientes y métodos: Estudio observacional multicéntrico de neonatos ≥35 semanas de edad gestacional con EHI moderada-grave nacidos entre 2011 y 2013 en 12 hospitales de una extensa región española (91.217m2) y ampliado hasta 2017 en el hospital coordinador. Se evaluaron los estudios de neuroimagen neonatal y del neurodesarrollo a los 3años mediante Bayley-III, Peabody Picture Vocabulary Test y Child Behaviour Checklist. Se incluyeron 79 controles sin asfixia perinatal. Resultados: Se reclutaron 63 pacientes, de los cuales 5/63 (7,9%) se excluyeron por presentar otra patología, y 14/58 (24%) fallecieron. De los 44 supervivientes, 42/44 (95,5%) fueron evaluados. De ellos, 10/42 (24%) presentaron evolución adversa (alteraciones visuales o auditivas, epilepsia, parálisis cerebral [PC] o retraso del desarrollo). Adicionalmente se detectaron otras alteraciones: trastorno motor mínimo (TMM) en 6/42 (14%) y más problemas de introversión (10,5% vs 1,3%), ansiedad (34,2% vs 11,7%) y depresión (28,9% vs 7,8%) que los controles (p<0,05). La gravedad de las lesiones en neuroimagen fue significativamente mayor en pacientes con trastorno motor (PC o TMM) (p=0,004) y muerte o evolución adversa (p=0,027). Conclusiones: Además de las secuelas clásicas, el seguimiento de los pacientes con EHI neonatal debería incluir el diagnóstico y el manejo de trastornos motores mínimos y problemas emocionales.(AU)

Introduction: The current neurodevelopmental status of patients with neonatal hypoxic-ischaemic encephalopathy (HIE) in Spain is unknown. Recent European studies highlight a shift of severe pathology towards mild motor disorders and emotional problems. The aim of this study was to analyse neurodevelopmental outcomes in a cohort of neonates with HIE at age 3years. Patients and method: Multicentre observational study of neonates born at 35 or more weeks of gestation with moderate to severe HIE in 2011-2013 in 12 hospitals in a large Spanish region (91,217m2), with the recruitment extended through 2017 in the coordinating hospital. We analysed the findings of neonatal neuroimaging and neurodevelopmental test scores at 3years (Bayley-III, Peabody Picture Vocabulary Test and Child Behavior Checklist). The sample included 79 controls with no history of perinatal asphyxia. Results: Sixty-three patients were recruited, of whom 5 (7.9%) were excluded due to other pathology and 14 (24%) died. Of the 44 survivors, 42 (95.5%) were evaluated. Of these 42, 10 (24%) had adverse outcomes (visual or hearing impairment, epilepsy, cerebral palsy or developmental delay). Other detected problems were minor neurological signs in 6 of the 42 (14%) and a higher incidence of emotional problems compared to controls: introversion (10.5% vs. 1.3%), anxiety (34.2% vs. 11.7%) and depression (28.9% vs. 7.8%) (P<.05). The severity of the lesions on neuroimaging was significantly higher in patients with motor impairment (P=.004) or who died or had an adverse outcome (P=.027). Conclusion: In addition to classical sequelae, the follow-up of patients with neonatal HIE should include the diagnosis and treatment of minor motor disorders and social and emotional problems.(AU)