1
|
Pineda R, Vesoulis Z, El Ters N, Mathur A. aEEG in the first 3 days after extremely preterm delivery relates to neurodevelopmental outcomes. J Perinatol 2024; 44:857-864. [PMID: 38553599 PMCID: PMC11161402 DOI: 10.1038/s41372-024-01945-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 03/13/2024] [Accepted: 03/18/2024] [Indexed: 04/04/2024]
Abstract
OBJECTIVES Investigate relationships between aEEG in the first 72 h in extremely preterm infants with 1) infant, medical, and environmental factors, and 2) infant feeding and neurobehavioral outcomes at term and school-age. METHODS Sixty-four preterm infants (≤28 weeks gestation) were enrolled within the first 24-hours of life and had two-channel aEEG until 72 h of life. Standardized neurobehavioral and feeding assessments were conducted at term, and parent-reported outcomes were documented at 5-7 years. RESULTS Lower aEEG Burdjalov scores (adjusted for gestational age) were related to vaginal delivery (p = 0.04), cerebral injury (p = 0.01), Black race (p < 0.01) and having unmarried parents (p = 0.02). Lower Burdjalov scores related to less NICU Network Neurobehavioral Scale arousal (p = 0.002) at term and poorer BRIEF global executive function (p = 0.004), inhibition (p = 0.007), working memory (p = 0.02), material organization (p = 0.0008), metacognition (p = 0.01), and behavioral regulation (p = 0.02) at 5-7 years. We did not observe relationships of early aEEG to feeding outcomes or sensory processing measures. CONCLUSION Early aEEG within the first 72 h of life was related to medical and sociodemographic factors as well as cognitive outcome at 5-7 years.
Collapse
Affiliation(s)
- Roberta Pineda
- Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA.
- Keck School of Medicine, Department of Pediatrics, Los Angeles, CA, USA.
- Gehr Family Center for Health Systems Science and Innovation, University of Southern California, Los Angeles, CA, USA.
- Program in Occupational Therapy, Washington University St. Louis, St. Louis, MO, USA.
| | - Zachary Vesoulis
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
| | - Nathalie El Ters
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
| | - Amit Mathur
- Department of Pediatrics, St. Louis University, St. Louis, MO, USA
| |
Collapse
|
2
|
Tsoi K, Yam KKM, Cheung HM, Ma TPY, So KW, Fung ELW, Lam HS. Improving Consistency and Accuracy of Neonatal Amplitude-Integrated Electroencephalography. Am J Perinatol 2024; 41:330-336. [PMID: 34695864 DOI: 10.1055/a-1677-9872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVE This study aimed to improve the utilization of amplitude-integrated electroencephalography (aEEG) in a neonatal unit by improving aEEG documentation, aEEG knowledge, and pattern recognition ability of neonatal staff. METHODS A quality improvement (QI) program comprising the two Plan-Do-Study-Act (PDSA) cycles was conducted in a level-3 neonatal intensive care unit. The first cycle was focused on improving aEEG documentation with the primary outcome indicator being compliance with aEEG documentation. The second cycle was focused on aEEG interpretation in a health care professional education program with the outcome indicators being accuracy of seizure identification on aEEG and change in conventional EEGs (cEEG) performed. Other outcome indicators included accuracy in identification of background pattern, sleep-wake cycles and artifacts. Process indicators included improvement in aEEG-related knowledge. RESULTS First PDSA cycle includes lectures on aEEG interpretation, a bedside key, and documentation form. Second PDSA cycle includes online aEEG education pack and detailed aEEG guideline. There was a significant improvement in aEEG documentation after the implementation of both PDSA cycles. Seven of the 46 patients (15.2%) had isolated electrographic seizures which would not have been identified in the pre-aEEG monitoring era. There was an increase in the number of patients with cEEGs done but a steady decrease in number of cEEGs per patient. CONCLUSION With the successful application of standardized QI methods, improvements in outcome indicators, such as correct aEEG pattern recognition and improved coverage of at risk infants with cEEGs, were observed. Our QI measures were associated with improvement in aEEG pattern recognition. KEY POINTS · Consistent and accurate use of aEEG is challenging.. · Standardized forms and guidelines improve aEEG interpretation consistency and documentation.. · Interactive self-paced online education packs can improve aEEG knowledge and pattern recognition..
Collapse
Affiliation(s)
- Kathleen Tsoi
- Department of Paediatrics, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong
| | - Karen K M Yam
- Department of Paediatrics, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong
| | - Hon M Cheung
- Department of Paediatrics, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong
| | - Terence P Y Ma
- Department of Paediatrics, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong
| | - King W So
- Department of Paediatrics, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong
| | - Eva L W Fung
- Department of Paediatrics, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong
| | - Hugh S Lam
- Department of Paediatrics, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong
| |
Collapse
|
3
|
Chen LW, Chu CH, Lin YC, Huang CC. The Quartile Levels of Thyroid-Stimulating Hormone by Newborn Screening Stratified Risks of Neurodevelopmental Impairment in Extremely Preterm Infants - A Population Cohort Study. J Epidemiol 2024:JE20230253. [PMID: 38191177 DOI: 10.2188/jea.je20230253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2024] Open
Abstract
BACKGROUND To evaluate whether thyroid-stimulating hormone (TSH) by newborn screening (NBS) at birth and at discharge can be surrogate markers for neurodevelopmental impairment (NDI) in extremely preterm infants. METHODS The population cohort enrolled infants born <29 weeks' gestation in 2008 - 2020 in southern Taiwan. Infants with a maternal history of thyroid disorders and infants who required thyroxine supplementation during hospitalization were excluded. TSH levels by NBS at birth and at term-equivalent age (TEA)/discharge were respectively categorized into the lowest quartile, the interquartile range, and the highest quartile, which were correlated to NDI outcomes. RESULTS Among 392 patients with paired TSH data, 358 (91%) were prospectively followed until corrected age 24 months. At birth, infants with lowest-quartile TSH had higher NDI risks (OR 2.3, 95% CI 1.3 - 4.1, P = 0.004) compared to infants with interquartile-range TSH. Conversely, by TEA/discharge, infants with highest-quartile TSH had increased NDI (OR 1.9, 1.0 - 3.4, P = 0.03). By paired TSH categories, infants persistently in the lowest TSH quartile (48%, aOR 4.4, 1.4 - 14.5, P = 0.01) and those with a shift from interquartile range to the highest quartile (32%, aOR 2.7, 1.0 - 7.4, P = 0.046) had increased NDI risks compared with the reference with consistent interquartile-range TSH. CONCLUSIONS Extremely preterm infants persistently in the lowest-quartile TSH level at birth and at discharge had the highest NDI risk. TSH quartile levels by NBS may serve as a population surrogate biomarker for assessing NDI risks in infants born extremely preterm.
Collapse
Affiliation(s)
- Li-Wen Chen
- Department of Pediatrics, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University
| | | | - Yung-Chieh Lin
- Department of Pediatrics, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University
| | - Chao-Ching Huang
- Department of Pediatrics, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University
- Department of Pediatrics, College of Medicine, Taipei Medical University
| |
Collapse
|
4
|
Plomgaard AM, Stevenson N, Roberts JA, Hvass Petersen T, Vanhatalo S, Greisen G. Early EEG-burst sharpness and 2-year disability in extremely preterm infants. Pediatr Res 2024; 95:193-199. [PMID: 37500756 PMCID: PMC10798884 DOI: 10.1038/s41390-023-02753-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 06/17/2023] [Accepted: 07/07/2023] [Indexed: 07/29/2023]
Abstract
BACKGROUND Automated computational measures of EEG have the potential for large-scale application. We hypothesised that a predefined measure of early EEG-burst shape (increased burst sharpness) could predict neurodevelopmental impairment (NDI) and mental developmental index (MDI) at 2 years of age over-and-above that of brain ultrasound. METHODS We carried out a secondary analysis of data from extremely preterm infants collected for an RCT (SafeBoosC-II). Two hours of single-channel cross-brain EEG was used to analyse burst sharpness with an automated algorithm. The co-primary outcomes were moderate-or-severe NDI and MDI. Complete data were available from 58 infants. A predefined statistical analysis was adjusted for GA, sex and no, mild-moderate, and severe brain injury as detected by cranial ultrasound. RESULTS Nine infants had moderate-or-severe NDI and the mean MDI was 87 ± 17.3 SD. The typical burst sharpness was low (negative values) and varied relatively little (mean -0.81 ± 0.11 SD), but the odds ratio for NDI was increased by 3.8 (p = 0.008) and the MDI was reduced by -3.2 points (p = 0.14) per 0.1 burst sharpness units increase (+1 SD) in the adjusted analysis. CONCLUSION This study confirms the association between EEG-burst measures in preterm infants and neurodevelopment in childhood. Importantly, this was by a priori defined analysis. IMPACT A fully automated, computational measure of EEG in the first week of life was predictive of neurodevelopmental impairment at 2 years of age. This confirms many previous studies using expert reading of EEG. Only single-channel EEG data were used, adding to the applicability. EEG was recorded by several different devices thus this measure appears to be robust to differences in electrodes, amplifiers and filters. The likelihood ratio of a positive EEG test, however, was only about 2, suggesting little immediate clinical value.
Collapse
Affiliation(s)
- Anne Mette Plomgaard
- Department of Neonatology, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark
| | - Nathan Stevenson
- Brain Modelling Group, QIMR Berghofer Medical Research Institute, Herston, Brisbane, QLD, 4006, Australia
| | - James A Roberts
- Brain Modelling Group, QIMR Berghofer Medical Research Institute, Herston, Brisbane, QLD, 4006, Australia
| | | | - Sampsa Vanhatalo
- BABA Center, Departments of Clinical Neurophysiology and Physiology, Children's Hospital, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Gorm Greisen
- Department of Neonatology, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark.
| |
Collapse
|
5
|
Teschler U, Dathe AK, Heuser-Spura KM, Bialas J, Cordier LJ, Albayrak B, Felderhoff-Mueser U, Huening BM. General Movements trajectories and outcome at 12 months in very preterm infants: An analysis of tendencies and pathological persistence. Sci Rep 2023; 13:21825. [PMID: 38071260 PMCID: PMC10710415 DOI: 10.1038/s41598-023-49037-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 12/03/2023] [Indexed: 12/18/2023] Open
Abstract
Very preterm infants (VPI) < 32 weeks are at increased risk of developmental disorders detectable using the Prechtl General Movements Assessment (GMA) and the Bayley Scales of Infant and Toddler Development-Third Edition (BSID-III). The aim of this study was to investigate General Movements (GMs) trajectories from preterm to fidgety age including GMs tendencies and their association with cognitive and motor outcome. Retrospective analysis of VPI with GMA at preterm (35 ± 2 weeks postmenstrual age (PMA), T1) and fidgety age (12 ± 3 weeks corrected age CA), T2), and BSID-III (12 ± 3 months CA, T3) is performed. Data are analysed using Pearson χ2-test, Fisher-Freeman-Halton Exact test, and residual analyses. This study found significant associations between (a) GMs (T1) and (b) persistent pathological GMs (T1 + T2) with cognitive outcomes at 12 months (T3) considering the tendencies of GMs in addition to the global character (p = 0.007, p = 0.022, respectively), representing medium-sized effects. There were no significant associations between GMs or persistence of pathological GMs and gross and fine motor outcomes, regardless of GMs tendencies. Findings indicate that considering tendencies of GMs and the persistence of pathological GMs may be important in identifying children at risk of cognitive impairments early. This additional assessment parameter may have the potential for early identification of infants with milder motor and/or cognitive impairments. However, more research is needed using larger sample cohorts to generalise the results and to be able to recommend sequential GMA for clinical routine.
Collapse
Affiliation(s)
- Uta Teschler
- Department of Paediatrics I, Neonatology, Paediatric Intensive Care and Paediatric Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
- Center for Translational Neuro- and Behavioral Sciences, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
| | - Anne-Kathrin Dathe
- Department of Paediatrics I, Neonatology, Paediatric Intensive Care and Paediatric Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Department of Health and Nursing, Occupational Therapy, Ernst-Abbe-University of Applied Sciences, Jena, Germany
| | - Katharina Maria Heuser-Spura
- Department of Paediatrics I, Neonatology, Paediatric Intensive Care and Paediatric Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Johanna Bialas
- Department of Paediatrics I, Neonatology, Paediatric Intensive Care and Paediatric Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Larissa Jane Cordier
- Department of Paediatrics I, Neonatology, Paediatric Intensive Care and Paediatric Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Bilge Albayrak
- Department of Paediatrics I, Neonatology, Paediatric Intensive Care and Paediatric Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Ursula Felderhoff-Mueser
- Department of Paediatrics I, Neonatology, Paediatric Intensive Care and Paediatric Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Britta Maria Huening
- Department of Paediatrics I, Neonatology, Paediatric Intensive Care and Paediatric Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| |
Collapse
|
6
|
Wang X, Trabatti C, Weeke L, Dudink J, Swanenburg de Veye H, Eijsermans RMJC, Koopman-Esseboom C, Benders MJNL, Tataranno ML. Early qualitative and quantitative amplitude-integrated electroencephalogram and raw electroencephalogram for predicting long-term neurodevelopmental outcomes in extremely preterm infants in the Netherlands: a 10-year cohort study. Lancet Digit Health 2023; 5:e895-e904. [PMID: 37940489 DOI: 10.1016/s2589-7500(23)00198-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 08/17/2023] [Accepted: 09/18/2023] [Indexed: 11/10/2023]
Abstract
BACKGROUND Extremely preterm infants (<28 weeks of gestation) are at great risk of long-term neurodevelopmental impairments. Early amplitude-integrated electroencephalogram (aEEG) accompanied by raw EEG traces (aEEG-EEG) has potential for predicting subsequent outcomes in preterm infants. We aimed to determine whether and which qualitative and quantitative aEEG-EEG features obtained within the first postnatal days predict neurodevelopmental outcomes in extremely preterm infants. METHODS This study retrospectively analysed a cohort of extremely preterm infants (born before 28 weeks and 0 days of gestation) who underwent continuous two-channel aEEG-EEG monitoring during their first 3 postnatal days at Wilhelmina Children's Hospital, Utrecht, the Netherlands, between June 1, 2008, and Sept 30, 2018. Only infants who did not have genetic or metabolic diseases or major congenital malformations were eligible for inclusion. Features were extracted from preprocessed aEEG-EEG signals, comprising qualitative parameters grouped in three types (background pattern, sleep-wake cycling, and seizure activity) and quantitative metrics grouped in four categories (spectral content, amplitude, connectivity, and discontinuity). Machine learning-based regression and classification models were used to evaluate the predictive value of the extracted aEEG-EEG features for 13 outcomes, including cognitive, motor, and behavioural problem outcomes, at 2-3 years and 5-7 years. Potential confounders (gestational age at birth, maternal education, illness severity, morphine cumulative dose, the presence of severe brain injury, and the administration of antiseizure, sedative, or anaesthetic medications) were controlled for in all prediction analyses. FINDINGS 369 infants were included and an extensive set of 339 aEEG-EEG features was extracted, comprising nine qualitative parameters and 330 quantitative metrics. The machine learning-based regression models showed significant but relatively weak predictive performance (ranging from r=0·13 to r=0·23) for nine of 13 outcomes. However, the machine learning-based classifiers exhibited acceptable performance in identifying infants with intellectual impairments from those with optimal outcomes at age 5-7 years, achieving balanced accuracies of 0·77 (95% CI 0·62-0·90; p=0·0020) for full-scale intelligence quotient score and 0·81 (0·65-0·96; p=0·0010) for verbal intelligence quotient score. Both classifiers maintained identical performance when solely using quantitative features, achieving balanced accuracies of 0·77 (95% CI 0·63-0·91; p=0·0030) for full-scale intelligence quotient score and 0·81 (0·65-0·96; p=0·0010) for verbal intelligence quotient score. INTERPRETATION These findings highlight the potential benefits of using early postnatal aEEG-EEG features to automatically recognise extremely preterm infants with poor outcomes, facilitating the development of an interpretable prognostic tool that aids in decision making and therapy planning. FUNDING European Commission Horizon 2020.
Collapse
Affiliation(s)
- Xiaowan Wang
- Department of Neonatology, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Chiara Trabatti
- Pediatric and Neonatology Unit, Maggiore Hospital, ASST Crema, Crema, Italy
| | - Lauren Weeke
- Department of Neonatology, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Jeroen Dudink
- Department of Neonatology, University Medical Centre Utrecht, Utrecht, Netherlands; Wilhelmina Children's Hospital, and Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, Netherlands
| | | | - Rian M J C Eijsermans
- Department of Neonatology, University Medical Centre Utrecht, Utrecht, Netherlands; Child Development and Exercise Centre, University Medical Centre Utrecht, Utrecht, Netherlands
| | | | - Manon J N L Benders
- Department of Neonatology, University Medical Centre Utrecht, Utrecht, Netherlands; Wilhelmina Children's Hospital, and Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Maria Luisa Tataranno
- Department of Neonatology, University Medical Centre Utrecht, Utrecht, Netherlands; Wilhelmina Children's Hospital, and Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, Netherlands.
| |
Collapse
|
7
|
Taha S, Simpson RB, Sharkey D. The critical role of technologies in neonatal care. Early Hum Dev 2023; 187:105898. [PMID: 37944264 DOI: 10.1016/j.earlhumdev.2023.105898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 11/03/2023] [Accepted: 11/03/2023] [Indexed: 11/12/2023]
Abstract
Neonatal care has made significant advances in the last few decades. As a result, mortality and morbidity in high-risk infants, such as extremely preterm infants or those infants with birth-related brain injury, has reduced significantly. Many of these advances have been facilitated or delivered through development of medical technologies allowing clinical teams to be better supported with the care they deliver or provide new therapies and diagnostics to improve management. The delivery of neonatal intensive care requires the provision of medical technologies that are easy to use, reliable, accurate and ideally developed for the unique needs of the newborn population. Many technologies have been developed and commercialised following adult trials without ever being studied in neonatal patients despite the unique characteristics of this population. Increasingly, funders and industry are recognising this major challenge which has resulted in initiatives to develop new ideas from concept through to clinical care. This review explores some of the key medical technologies used in neonatal care and the evidence to support their adoption to improve outcomes. A number of devices have yet to realise their full potential and will require further development to optimise and find their ideal target population and clinical benefit. Examples of emerging technologies, which may soon become more widely used, are also discussed. As neonatal care relies more on medical technologies, we need to be aware of the impact on care pathways, especially from a human factors approach, the associated costs and subsequent benefits to patients alongside the supporting evidence.
Collapse
Affiliation(s)
- Syed Taha
- Centre for Perinatal Research, School of Medicine, University of Nottingham, Nottingham NG7 2UH, United Kingdom
| | - Rosalind B Simpson
- Centre for Perinatal Research, School of Medicine, University of Nottingham, Nottingham NG7 2UH, United Kingdom
| | - Don Sharkey
- Centre for Perinatal Research, School of Medicine, University of Nottingham, Nottingham NG7 2UH, United Kingdom.
| |
Collapse
|
8
|
Koskela T, Meek J, Huertas-Ceballos A, Kendall GS, Whitehead K. Clinical value of cortical bursting in preterm infants with intraventricular haemorrhage. Early Hum Dev 2023; 184:105840. [PMID: 37556995 DOI: 10.1016/j.earlhumdev.2023.105840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 07/31/2023] [Accepted: 08/01/2023] [Indexed: 08/11/2023]
Abstract
BACKGROUND In healthy preterm infants, cortical burst rate and temporal dynamics predict important measures such as brain growth. We hypothesised that in preterm infants with germinal matrix-intraventricular haemorrhage (GM-IVH), cortical bursting could provide prognostic information. AIMS We determined how cortical bursting was influenced by the injury, and whether this was related to developmental outcome. STUDY DESIGN Single-centre retrospective cohort study at University College London Hospitals, UK. SUBJECTS 33 infants with GM-IVH ≥ grade II (median gestational age: 25 weeks). OUTCOME MEASURES We identified 47 EEGs acquired between 24 and 40 weeks corrected gestational age as part of routine clinical care. In a subset of 33 EEGs from 25 infants with asymmetric injury, we used the least-affected hemisphere as an internal comparison. We tested whether cortical burst rate predicted survival without severe impairment (median 2 years follow-up). RESULTS In asymmetric injury, cortical burst rate was lower over the worst- than least-affected hemisphere, and bursts over the worst-affected hemisphere were less likely to immediately follow bursts over the least-affected hemisphere than vice versa. Overall, burst rate was lower in cases of GM-IVH with parenchymal involvement, relative to milder structural injury grades. Higher burst rate modestly predicted survival without severe language (AUC 0.673) or motor impairment (AUC 0.667), which was partly mediated by structural injury grade. CONCLUSIONS Cortical bursting can index the functional injury after GM-IVH: perturbed burst initiation (rate) and propagation (inter-hemispheric dynamics) likely reflect associated grey matter and white matter damage. Higher cortical burst rate is reassuring for a positive outcome.
Collapse
Affiliation(s)
- Tuomas Koskela
- Research IT Services, University College London, London WC1E 7HB, UK.
| | - Judith Meek
- Neonatal Intensive Care Unit, Elizabeth Garrett Anderson Wing, University College London Hospitals, London WC1E 6DB, UK; Academic Neonatology, Institute for Women's Health, University College London, London WC1E 6HU, UK.
| | - Angela Huertas-Ceballos
- Neonatal Intensive Care Unit, Elizabeth Garrett Anderson Wing, University College London Hospitals, London WC1E 6DB, UK.
| | - Giles S Kendall
- Neonatal Intensive Care Unit, Elizabeth Garrett Anderson Wing, University College London Hospitals, London WC1E 6DB, UK; Academic Neonatology, Institute for Women's Health, University College London, London WC1E 6HU, UK.
| | - Kimberley Whitehead
- Neonatal Intensive Care Unit, Elizabeth Garrett Anderson Wing, University College London Hospitals, London WC1E 6DB, UK; Department of Neuroscience, Physiology & Pharmacology, University College London, London WC1E 6BT, UK.
| |
Collapse
|
9
|
Nordvik T, Server A, Espeland CN, Schumacher EM, Larsson PG, Pripp AH, Stiris T. Combining MRI and Spectral EEG for Assessment of Neurocognitive Outcomes in Preterm Infants. Neonatology 2023; 120:482-490. [PMID: 37290419 DOI: 10.1159/000530648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 03/31/2023] [Indexed: 06/10/2023]
Abstract
INTRODUCTION Predicting impairment in preterm children is challenging. Our aim is to explore the association between MRI at term-equivalent age (TEA) and neurocognitive outcomes in late childhood and to assess whether the addition of EEG improves prognostication. METHODS This prospective observational study included forty infants with gestational age 24 + 0-30 + 6. Children were monitored with multichannel EEG for 72 h after birth. Total absolute band power for the delta band on day 2 was calculated. Brain MRI was performed at TEA and scored according to the Kidokoro scoring system. At 10-12 years of age, we evaluated neurocognitive outcomes with Wechsler Intelligence Scale for Children 4th edition, Vineland adaptive behavior scales 2nd edition and Behavior Rating Inventory of Executive Function. We performed linear regression analysis to examine the association between outcomes and MRI and EEG, respectively, and multiple regression analysis to explore the combination of MRI and EEG. RESULTS Forty infants were included. There was a significant association between global brain abnormality score and composite outcomes of WISC and Vineland test, but not the BRIEF test. The adjusted R2 was 0.16 and 0.08, respectively. For EEG, adjusted R2 was 0.34 and 0.15, respectively. When combining MRI and EEG data, adjusted R2 changed to 0.36 for WISC and 0.16 for the Vineland test. CONCLUSION There was a small association between TEA MRI and neurocognitive outcomes in late childhood. Adding EEG to the model improved the explained variance. Combining EEG and MRI data did not have any additional benefit over EEG alone.
Collapse
Affiliation(s)
- Tone Nordvik
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Neonatal Intensive Care, Oslo University Hospital, Ullevål, Oslo, Norway
| | - Andres Server
- Section of Neuroradiology, Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Cathrine N Espeland
- Department of Neonatal Intensive Care, Oslo University Hospital, Ullevål, Oslo, Norway
| | - Eva M Schumacher
- Department of Neonatal Intensive Care, Oslo University Hospital, Ullevål, Oslo, Norway
| | - Pål G Larsson
- Department of Neurosurgery, Oslo University Hospital, Oslo, Norway
| | - Are H Pripp
- Oslo Center of Biostatistics and Epidemiology, Research Support Services, Oslo University Hospital, Oslo, Norway
| | - Tom Stiris
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Neonatal Intensive Care, Oslo University Hospital, Ullevål, Oslo, Norway
| |
Collapse
|
10
|
El-Dib M, Abend NS, Austin T, Boylan G, Chock V, Cilio MR, Greisen G, Hellström-Westas L, Lemmers P, Pellicer A, Pressler RM, Sansevere A, Tsuchida T, Vanhatalo S, Wusthoff CJ, Wintermark P, Aly H, Chang T, Chau V, Glass H, Lemmon M, Massaro A, Wusthoff C, deVeber G, Pardo A, McCaul MC. Neuromonitoring in neonatal critical care part I: neonatal encephalopathy and neonates with possible seizures. Pediatr Res 2022:10.1038/s41390-022-02393-1. [PMID: 36476747 DOI: 10.1038/s41390-022-02393-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 08/12/2022] [Accepted: 08/19/2022] [Indexed: 12/12/2022]
Abstract
The blooming of neonatal neurocritical care over the last decade reflects substantial advances in neuromonitoring and neuroprotection. The most commonly used brain monitoring tools in the neonatal intensive care unit (NICU) are amplitude integrated EEG (aEEG), full multichannel continuous EEG (cEEG), and near-infrared spectroscopy (NIRS). While some published guidelines address individual tools, there is no consensus on consistent, efficient, and beneficial use of these modalities in common NICU scenarios. This work reviews current evidence to assist decision making for best utilization of neuromonitoring modalities in neonates with encephalopathy or with possible seizures. Neuromonitoring approaches in extremely premature and critically ill neonates are discussed separately in the companion paper. IMPACT: Neuromonitoring techniques hold promise for improving neonatal care. For neonatal encephalopathy, aEEG can assist in screening for eligibility for therapeutic hypothermia, though should not be used to exclude otherwise eligible neonates. Continuous cEEG, aEEG and NIRS through rewarming can assist in prognostication. For neonates with possible seizures, cEEG is the gold standard for detection and diagnosis. If not available, aEEG as a screening tool is superior to clinical assessment alone. The use of seizure detection algorithms can help with timely seizures detection at the bedside.
Collapse
Affiliation(s)
- Mohamed El-Dib
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Nicholas S Abend
- Departments of Neurology and Pediatrics, Children's Hospital of Philadelphia and the University of Pennsylvania, Philadelphia, PA, USA
| | - Topun Austin
- Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - Geraldine Boylan
- INFANT Research Centre & Department of Paediatrics & Child Health, University College Cork, Cork, Ireland
| | - Valerie Chock
- Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Palo Alto, CA, USA
| | - M Roberta Cilio
- Department of Pediatrics, Division of Pediatric Neurology, Cliniques universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Gorm Greisen
- Department of Neonatology, Rigshospitalet, Copenhagen University Hospital & Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Lena Hellström-Westas
- Department of Women's and Children's Health, Uppsala University, and Division of Neonatology, Uppsala University Hospital, Uppsala, Sweden
| | - Petra Lemmers
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Adelina Pellicer
- Department of Neonatology, La Paz University Hospital, Madrid, Spain; Neonatology Group, IdiPAZ, Madrid, Spain
| | - Ronit M Pressler
- Department of Clinical Neurophysiology, Great Ormond Street Hospital for Children NHS Trust, and Clinical Neuroscience, UCL- Great Ormond Street Institute of Child Health, London, UK
| | - Arnold Sansevere
- Department of Neurology and Pediatrics, George Washington University School of Medicine and Health Sciences; Children's National Hospital Division of Neurophysiology, Epilepsy and Critical Care, Washington, DC, USA
| | - Tammy Tsuchida
- Department of Neurology and Pediatrics, George Washington University School of Medicine and Health Sciences; Children's National Hospital Division of Neurophysiology, Epilepsy and Critical Care, Washington, DC, USA
| | - Sampsa Vanhatalo
- Department of Clinical Neurophysiology, Children's Hospital, BABA Center, Neuroscience Center/HILIFE, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
11
|
Ahtola E, Leikos S, Tuiskula A, Haataja L, Smeds E, Piitulainen H, Jousmäki V, Tokariev A, Vanhatalo S. Cortical networks show characteristic recruitment patterns after somatosensory stimulation by pneumatically evoked repetitive hand movements in newborn infants. Cereb Cortex 2022; 33:4699-4713. [PMID: 36368888 PMCID: PMC10110426 DOI: 10.1093/cercor/bhac373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 08/26/2022] [Accepted: 08/27/2022] [Indexed: 11/13/2022] Open
Abstract
Abstract
Controlled assessment of functional cortical networks is an unmet need in the clinical research of noncooperative subjects, such as infants. We developed an automated, pneumatic stimulation method to actuate naturalistic movements of an infant’s hand, as well as an analysis pipeline for assessing the elicited electroencephalography (EEG) responses and related cortical networks. Twenty newborn infants with perinatal asphyxia were recruited, including 7 with mild-to-moderate hypoxic–ischemic encephalopathy (HIE). Statistically significant corticokinematic coherence (CKC) was observed between repetitive hand movements and EEG in all infants, peaking near the contralateral sensorimotor cortex. CKC was robust to common sources of recording artifacts and to changes in vigilance state. A wide recruitment of cortical networks was observed with directed phase transfer entropy, also including areas ipsilateral to the stimulation. The extent of such recruited cortical networks was quantified using a novel metric, Spreading Index, which showed a decrease in 4 (57%) of the infants with HIE. CKC measurement is noninvasive and easy to perform, even in noncooperative subjects. The stimulation and analysis pipeline can be fully automated, including the statistical evaluation of the cortical responses. Therefore, the CKC paradigm holds great promise as a scientific and clinical tool for controlled assessment of functional cortical networks.
Collapse
Affiliation(s)
- Eero Ahtola
- Helsinki University Hospital and University of Helsinki Department of Clinical Neurophysiology, BABA Center, Pediatric Research Center, Children’s Hospital and HUS Diagnostics, , Helsinki, 00029 HUS , Finland
- Aalto University School of Science Department of Neuroscience and Biomedical Engineering, , Espoo, 00076 AALTO , Finland
| | - Susanna Leikos
- Helsinki University Hospital and University of Helsinki Department of Clinical Neurophysiology, BABA Center, Pediatric Research Center, Children’s Hospital and HUS Diagnostics, , Helsinki, 00029 HUS , Finland
| | - Anna Tuiskula
- Helsinki University Hospital and University of Helsinki Department of Clinical Neurophysiology, BABA Center, Pediatric Research Center, Children’s Hospital and HUS Diagnostics, , Helsinki, 00029 HUS , Finland
- Helsinki University Hospital and University of Helsinki Department of Pediatric Neurology, Children’s Hospital, , Helsinki, 00029 HUS , Finland
| | - Leena Haataja
- Helsinki University Hospital and University of Helsinki Department of Pediatric Neurology, Children’s Hospital, , Helsinki, 00029 HUS , Finland
| | - Eero Smeds
- Helsinki University Hospital and University of Helsinki Children’s Hospital and Pediatric Research Center, , Helsinki, 00029 HUS , Finland
| | - Harri Piitulainen
- Aalto University School of Science Department of Neuroscience and Biomedical Engineering, , Espoo, 00076 AALTO , Finland
- University of Jyväskylä Faculty of Sport and Health Sciences, , Jyväskylä, 40014 , Finland
| | - Veikko Jousmäki
- Aalto University Aalto NeuroImaging, Department of Neuroscience and Biomedical Engineering, , Espoo, 00076 AALTO , Finland
| | - Anton Tokariev
- Helsinki University Hospital and University of Helsinki Department of Clinical Neurophysiology, BABA Center, Pediatric Research Center, Children’s Hospital and HUS Diagnostics, , Helsinki, 00029 HUS , Finland
| | - Sampsa Vanhatalo
- Helsinki University Hospital and University of Helsinki Department of Clinical Neurophysiology, BABA Center, Pediatric Research Center, Children’s Hospital and HUS Diagnostics, , Helsinki, 00029 HUS , Finland
- University of Helsinki Department of Physiology, , Helsinki, 00014 , Finland
| |
Collapse
|
12
|
Amplitude-integrated EEG recorded at 32 weeks postconceptional age. Correlation with MRI at term. J Perinatol 2022; 42:880-884. [PMID: 35031690 DOI: 10.1038/s41372-021-01295-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 12/02/2021] [Indexed: 11/08/2022]
Abstract
OBJECTIVE The study aims to establish the role of late aEEG (scored by Burdjalov) in predicting brain maturation as well as abnormalities evaluated at term equivalent age (TEA) by brain MRI. METHODS 91 infants born before 30 wks gestation underwent an aEEG monitoring at 32 wks postconceptional age (PCA). aEEG, was correlated with TEA MRI, scored by Kidokoro. RESULTS A significant correlation between the aEEG score and the MRI scores was found. The same results were obtained for the aEEG continuity score; cyclicity and bandwidth scores were associated with grey matter and cerebellar MRI items. Moreover, a correlation between aEEG and cEEG recorded both at 32 and 40 wks PCA, was found. CONCLUSIONS aEEG monitoring can be predictive of MRI findings at TEA, suggesting that it could be implemented as a useful tool to support ultrasound to help identify neonates who will benefit from early intervention services.
Collapse
|
13
|
Nagarajan L, Pisani F, Ghosh S. CARFS 7: A guide and proforma for reading a preterm neonate's EEG. Neurophysiol Clin 2022; 52:265-279. [PMID: 35718626 DOI: 10.1016/j.neucli.2022.05.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 05/31/2022] [Accepted: 05/31/2022] [Indexed: 11/25/2022] Open
Abstract
OBJECTIVES The important role of the EEG in preterm and term babies in investigating brain function and seizures, predicting outcomes, evaluating therapeutic interventions and decision-making is being increasingly acknowledged. Development of the brain in the last trimester of pregnancy results in rapid changes in the EEG patterns in this period. Acquiring and interpreting the EEG of a preterm baby can be challenging. The aim of this study was to develop a proforma titled CARFS7 (Continuity, Amplitude, Reactivity, Frequency, Synchrony, Symmetry, Sleep, Sharps, Shapes, Size and Seizures) to enable neurologists to read EEGs of premature babies with greater confidence, ease and accuracy and produce a report more easily repeatable and homogenous among operators. METHODS The CARFS7proforma was developed based on a literature review and the personal experience of the authors. The parameters of the EEG evaluated and scored in the proforma are Continuity, Amplitude, Reactivity/Variability, Frequency, Synchrony, Symmetry, Sleep, Sharps, Shapes/Patterns, Size and Seizures. We also assessed the interrater reliability of the proposed scoring system incorporated in the proforma. RESULTS CARFS7 proforma incorporates a number of parameters that help evaluate the preterm EEG. The interrater reliability of the proposed scoring system in the CARFS7proforma was high. CONCLUSIONS CARFS7 is a user friendly proforma for reading EEGs in the preterm infant. Interrater reliability using Cohen's k shows high agreement between two child neurologists who independently rated the EEGs of 25 premature babies using this proforma. CARFS7 has the potential to provide, accurate, reproducible and valuable information on brain function in the preterm infant in clinical practice.
Collapse
Affiliation(s)
- Lakshmi Nagarajan
- Children's Neuroscience Service, Department of Neurology, Perth Children's Hospital, Nedlands, Australia; School of Medicine, University of Western Australia, Perth, Australia.
| | - Francesco Pisani
- Child Neuropsychiatry Unit, Medicine & Surgery Department, Neuroscience Division, University of Parma, Parma, Italy
| | - Soumya Ghosh
- Children's Neuroscience Service, Department of Neurology, Perth Children's Hospital, Nedlands, Australia; Perron Institute for Neurological and Translational Science, University of Western Australia, Perth, Australia
| |
Collapse
|
14
|
Beck J, Grosjean C, Bednarek N, Loron G. Amplitude-Integrated EEG Monitoring in Pediatric Intensive Care: Prognostic Value in Meningitis before One Year of Age. CHILDREN 2022; 9:children9050668. [PMID: 35626845 PMCID: PMC9140190 DOI: 10.3390/children9050668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 04/30/2022] [Accepted: 05/01/2022] [Indexed: 11/16/2022]
Abstract
Pediatric morbidity from meningitis remains considerable. Preventing complications is a major challenge to improve neurological outcome. Seizures may reveal the meningitis itself or some complications of this disease. Amplitude-integrated electroencephalography (aEEG) is gaining interest for the management of patients with acute neurological distress, beyond the neonatal age. This study aimed at evaluating the predictive value of aEEG monitoring during the acute phase in meningitis among a population of infants hospitalized in the pediatric intensive care unit (PICU), and at assessing the practicability of the technique. AEEG records of 25 infants younger than one year of age hospitalized for meningitis were retrospectively analyzed and correlated to clinical data and outcome. Recording was initiated, on average, within the first six hours for n = 18 (72%) patients, and overall quality was considered as good. Occurrence of seizure, of status epilepticus, and the background pattern were significantly associated with unfavorable neurological outcomes. AEEG may help in the management and prognostic assessment of pediatric meningitis. It is an easily achievable, reliable technique, and allows detection of subclinical seizures with minimal training. However, it is important to consider the limitations of aEEG, and combinate it with conventional EEG for the best accuracy.
Collapse
Affiliation(s)
- Jonathan Beck
- Department of Neonatology, Reims University Hospital Alix de Champagne, 51100 Reims, France; (J.B.); (C.G.); (N.B.)
- CReSTIC EA 3804 UFR Sciences Exactes et Naturelles, Campus Moulin de la Housse, Université de Reims Champagne Ardenne, 51100 Reims, France
| | - Cecile Grosjean
- Department of Neonatology, Reims University Hospital Alix de Champagne, 51100 Reims, France; (J.B.); (C.G.); (N.B.)
| | - Nathalie Bednarek
- Department of Neonatology, Reims University Hospital Alix de Champagne, 51100 Reims, France; (J.B.); (C.G.); (N.B.)
- CReSTIC EA 3804 UFR Sciences Exactes et Naturelles, Campus Moulin de la Housse, Université de Reims Champagne Ardenne, 51100 Reims, France
| | - Gauthier Loron
- Department of Neonatology, Reims University Hospital Alix de Champagne, 51100 Reims, France; (J.B.); (C.G.); (N.B.)
- CReSTIC EA 3804 UFR Sciences Exactes et Naturelles, Campus Moulin de la Housse, Université de Reims Champagne Ardenne, 51100 Reims, France
- Correspondence:
| |
Collapse
|
15
|
Nordvik T, Schumacher EM, Larsson PG, Pripp AH, Løhaugen GC, Stiris T. Early spectral EEG in preterm infants correlates with neurocognitive outcomes in late childhood. Pediatr Res 2022; 92:1132-1139. [PMID: 35013563 PMCID: PMC9586859 DOI: 10.1038/s41390-021-01915-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 10/04/2021] [Accepted: 10/31/2021] [Indexed: 11/09/2022]
Abstract
BACKGROUND Evidence regarding the predictive value of early amplitude-integrated electroencephalography (aEEG)/EEG on neurodevelopmental outcomes at school age and beyond is lacking. We aimed to investigate whether there is an association between early postnatal EEG and neurocognitive outcomes in late childhood. METHODS This study is an observational prospective cohort study of premature infants with a gestational age <28 weeks. The total absolute band powers (tABP) of the delta, theta, alpha, and beta bands were analyzed from EEG recordings during the first three days of life. At 10-12 years of age, neurocognitive outcomes were assessed using the Wechsler Intelligence Scale for Children 4th edition (WISC-IV), Vineland adaptive behavior scales 2nd edition, and Behavior Rating Inventory of Executive Function (BRIEF). The mean differences in tABP were assessed for individuals with normal versus unfavorable neurocognitive scores. RESULTS Twenty-two infants were included. tABP values in all four frequency bands were significantly lower in infants with unfavorable results in the main composite scores (full intelligence quotient, adaptive behavior composite score, and global executive composite score) on all three tests (p < 0.05). CONCLUSIONS Early postnatal EEG has the potential to assist in predicting cognitive outcomes at 10-12 years of age in extremely premature infants <28 weeks' gestation. IMPACT Evidence regarding the value of early postnatal EEG in long-term prognostication in preterm infants is limited. Our study suggests that early EEG spectral analysis correlates with neurocognitive outcomes in late childhood in extremely preterm infants. Early identification of infants at-risk of later impairment is important to initiate early and targeted follow-up and intervention.
Collapse
Affiliation(s)
- Tone Nordvik
- grid.5510.10000 0004 1936 8921Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway ,grid.55325.340000 0004 0389 8485Department of Neonatal Intensive Care, Oslo University Hospital, Ullevål, Oslo, Norway
| | - Eva M. Schumacher
- grid.55325.340000 0004 0389 8485Department of Neonatal Intensive Care, Oslo University Hospital, Ullevål, Oslo, Norway
| | - Pål G. Larsson
- grid.55325.340000 0004 0389 8485Department of Neurosurgery, Oslo University Hospital, Oslo, Norway
| | - Are H. Pripp
- grid.55325.340000 0004 0389 8485Oslo Center of Biostatistics and Epidemiology, Research Support Services, Oslo University Hospital, Oslo, Norway
| | - Gro C. Løhaugen
- grid.414311.20000 0004 0414 4503Department of Pediatrics, Sørlandet Hospital, Arendal, Norway
| | - Tom Stiris
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway. .,Department of Neonatal Intensive Care, Oslo University Hospital, Ullevål, Oslo, Norway.
| |
Collapse
|
16
|
Chen S, Xiao X, Lin S, Zhu J, Liang L, Zhu M, Yang Z, Chen S, Lin Z, Liu Y. Early aEEG can predict neurodevelopmental outcomes at 12 to 18 month of age in VLBWI with necrotizing enterocolitis: a cohort study. BMC Pediatr 2021; 21:582. [PMID: 34930183 PMCID: PMC8686651 DOI: 10.1186/s12887-021-03056-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 12/02/2021] [Indexed: 11/21/2022] Open
Abstract
Background Studies have shown that neurological damage is common in necrotizing enterocolitis (NEC) survivors. The purpose of the study was to investigate the predictive value of amplitude-integrated electroencephalogram (aEEG) for neurodevelopmental outcomes in preterm infants with NEC. Methods Infants with NEC were selected, and the control group was selected based on 1:1–2 pairing by gestational age. We performed single-channel (P3–P4) aEEG in the two groups. The Burdjalov scores were compared between the two groups. Cranial magnetic resonance imaging (MRI) was performed several months after birth. The neurological outcomes at 12 to 18 months of age were compared with the Gesell Developmental Schedules (GDS). The predictive value of aEEG scores for neurodevelopmental delay was calculated. Results There was good consistency between the two groups regarding general conditions. In the 1st aEEG examination, the patients in NEC group had lower Co (1.0 (0.0, 2.0) vs. 2.0 (2.0, 2.0), P = 0.001), Cy (1.0 (0.0, 2.0) vs. 3.0 (3.0, 4.0), P < 0.001), LB (1.0 (0.0, 2.0) vs. 2.0 (2.0, 2.0), P < 0.001), B (1.0 (1.0, 2.0) vs. 3.0 (3.0, 3.5), P < 0.001) and T (3.0 (2.0, 8.0) vs. 10.0 (10.0, 11.5), P < 0.001), than the control group. Cranial MRI in NEC group revealed a widened interparenchymal space with decreased myelination. The abnormality rate of cranial MRI in the NEC group was higher than that in the control group (P = 0.001). The GDS assessment indicated that NEC children had inferior performance and lower mean scores than the control group in the subdomains of gross motor (71 (SD = 6.41) vs. 92 (SD = 11.37), P < 0.001), fine motor (67 (SD = 9.34) vs. 96 (SD = 13.69), adaptive behavior (76 (SD = 9.85) vs. 95 (SD = 14.38), P = 0.001), language (68 (SD = 12.65) vs. 95 (SD = 11.41), P < 0.001), personal-social responses (80 (SD = 15.15) vs. 93(SD = 14.75), P = 0.037) and in overall DQ (72 (SD = 8.66) vs. 95 (SD = 11.07), P < 0.001). The logistic binary regression analysis revealed that the NEC patients had a significantly greater risk of neurodevelopmental delay than the control group (aOR = 27.00, 95% CI = 2.561–284.696, P = 0.006). Confirmed by Spearman’s rank correlation analysis, neurodevelopmental outcomes were significantly predicted by the 1st aEEG Burdjalov score (r = 0.603, P = 0.001). An abnormal 1st Burdjalov score has predictive value for neurodevelopmental delay with high specificity (84.62%) and positive predictive value (80.00%). Conclusions Children with NEC are more likely to develop neurodevelopmental delay. There is high specificity and PPV of early aEEG in predicting neurodevelopmental delay.
Collapse
Affiliation(s)
- Si Chen
- Department of Neonatology, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, 109 West Xueyuan Road, Wenzhou, 325027, Zhejiang, China
| | - Xiuman Xiao
- Department of Neonatology, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, 109 West Xueyuan Road, Wenzhou, 325027, Zhejiang, China
| | - Su Lin
- Department of Neonatology, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, 109 West Xueyuan Road, Wenzhou, 325027, Zhejiang, China
| | - Jianghu Zhu
- Department of Neonatology, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, 109 West Xueyuan Road, Wenzhou, 325027, Zhejiang, China
| | - Lidan Liang
- Children's Rehabilitation Department, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Minli Zhu
- Department of Neonatology, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, 109 West Xueyuan Road, Wenzhou, 325027, Zhejiang, China
| | - Zuqin Yang
- Department of Neonatology, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, 109 West Xueyuan Road, Wenzhou, 325027, Zhejiang, China
| | - Shangqin Chen
- Department of Neonatology, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, 109 West Xueyuan Road, Wenzhou, 325027, Zhejiang, China
| | - Zhenlang Lin
- Department of Neonatology, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, 109 West Xueyuan Road, Wenzhou, 325027, Zhejiang, China.
| | - Yanli Liu
- Department of Neonatology, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, 109 West Xueyuan Road, Wenzhou, 325027, Zhejiang, China.
| |
Collapse
|
17
|
Value of amplitude-integrated electroencephalogram combined with quantitative indices of cranial magnetic resonance imaging in predicting short-term neurodevelopment in moderately and late preterm infants: a prospective study. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2021; 23:987-993. [PMID: 34719412 PMCID: PMC8549650 DOI: 10.7499/j.issn.1008-8830.2106077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
OBJECTIVES To study the association of amplitude-integrated electroencephalogram (aEEG) and the quantitative indices biparietal width (BPW) and interhemispheric distance (IHD) of cranial magnetic resonance imaging (cMRI) with short-term neurodevelopment in moderately and late preterm infants. METHODS A total of 104 moderately and late preterm infants who were admitted to the neonatal intensive care unit from September 2018 to April 2020 were selected as the subjects for this prospective study. The Naqeeb method and sleep-wake cycling (SWC) were used for aEEG assessment within 72 hours after birth. cMRI was performed at the corrected gestational age of 37 weeks. BPW and IHD were measured at the T2 coronal position. At the corrected age of 6 months, the Developmental Screening Test for Child Under Six (DST) was used to follow up neurodevelopment. According to developmental quotient (DQ), the infants were divided into a normal DST group (78 infants with DQ≥85) and an abnormal DST group (26 infants with DQ<85). Related indices were compared between the two groups. The association between aEEG and cMRI was evaluated. RESULTS Compared with the normal DST group, the abnormal DST group had significantly lower aEEG normal rate and SWC maturation rate (P<0.05), as well as a significantly larger IHD and a significantly smaller BPW (P<0.05). Immature SWC, aEEG abnormality, and a relatively large IHD were the risk factors for abnormal DST (P<0.05), and a relatively large BPW was a protective factor against abnormal DST (P<0.05). CONCLUSIONS For moderately and late preterm infants, aEEG within 72 hours after birth and the quantitative indices BPW and IHD of cMRI at the corrected gestational age of 37 weeks may affect their neurodevelopmental outcome at the corrected age of 6 months.
Collapse
|
18
|
Trollmann R. Neuromonitoring bei zerebralen Anfällen im Neugeborenenalter – Chancen und Herausforderungen. KLIN NEUROPHYSIOL 2021. [DOI: 10.1055/a-1438-1828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Angesichts der vielen Kinder mit neonatalen Risikofaktoren für erworbene ZNS-Läsionen und zerebrale Anfälle ist das EEG zunehmend relevant für eine optimierte Diagnostik und Therapieüberwachung 1
2. Folgender Artikel gibt einen Überblick über Besonderheiten des neonatalen EEG und über aktuelle Empfehlungen zum Stellenwert des Langzeit-EEG-Monitorings bei neonatalen Anfällen und epileptischen Enzephalopathien im Früh- und Neugeborenalter.
Collapse
|
19
|
Bruns N, Felderhoff‐Müser U, Dohna‐Schwake C. aEEG as a useful tool for neuromonitoring in critically ill children - Current evidence and knowledge gaps. Acta Paediatr 2021; 110:1132-1140. [PMID: 33210762 DOI: 10.1111/apa.15676] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 11/06/2020] [Accepted: 11/16/2020] [Indexed: 12/28/2022]
Abstract
AIM Amplitude-integrated electroencephalography (aEEG) is used in children beyond neonatal age, but systematic investigations have been lacking. This mini-review summarised aEEG studies on children aged one month to 18 years, evaluated the usefulness of aEEG and identified knowledge gaps or limitations. METHODS We searched the PubMed database for articles published in English up to September 2020, and 23 papers were identified. RESULTS aEEG was frequently used to compensate for the absence of continuous full-channel EEG monitoring, particularly for detecting seizures. Interpreting background patterns was based on neonatal classifications, as reference values for older infants and children are lacking. It is possible that aEEG could predict outcomes after paediatric cardiac arrests and other conditions. Gaps in our knowledge exist with regard to normal values in healthy children and the effects of sedation on aEEG background patterns in children. CONCLUSION The main application of aEEG was detecting and treating paediatric seizures. Further research should determine reference values and investigate the potential to predict outcome after critical events or in acute neurological disease. It is likely that aEEG will play a role in paediatric critical care in the future.
Collapse
Affiliation(s)
- Nora Bruns
- Department of Paediatrics I University Hospital Essen University of Duisburg‐Essen Essen Germany
| | - Ursula Felderhoff‐Müser
- Department of Paediatrics I University Hospital Essen University of Duisburg‐Essen Essen Germany
| | - Christian Dohna‐Schwake
- Department of Paediatrics I University Hospital Essen University of Duisburg‐Essen Essen Germany
| |
Collapse
|
20
|
EEG signatures of cognitive and social development of preschool children-a systematic review. PLoS One 2021; 16:e0247223. [PMID: 33606804 PMCID: PMC7895403 DOI: 10.1371/journal.pone.0247223] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 02/03/2021] [Indexed: 01/09/2023] Open
Abstract
Background Early identification of preschool children who are at risk of faltering in their development is essential to ensuring that all children attain their full potential. Electroencephalography (EEG) has been used to measure neural correlates of cognitive and social development in children for decades. Effective portable and low-cost EEG devices increase the potential of its use to assess neurodevelopment in children at scale and particularly in low-resource settings. We conducted a systematic review aimed to synthesise EEG measures of cognitive and social development in 2-5-year old children. Our secondary aim was to identify how these measures differ across a) the course of development within this age range, b) gender and c) socioeconomic status (SES). Methods and findings A systematic literature search identified 51 studies for inclusion in this review. Data relevant to the primary and secondary aims was extracted from these studies and an assessment for risk of bias was done, which highlighted the need for harmonisation of EEG data collection and analysis methods across research groups and more detailed reporting of participant characteristics. Studies reported on the domains of executive function (n = 22 papers), selective auditory attention (n = 9), learning and memory (n = 5), processing of faces (n = 7) and emotional stimuli (n = 8). For papers investigating executive function and selective auditory attention, the most commonly reported measures were alpha power and the amplitude and latency of positive (P1, P2, P3) and negative (N1, N2) deflections of event related potential (ERPs) components. The N170 and P1 ERP components were the most commonly reported neural responses to face and emotional faces stimuli. A mid-latency negative component and positive slow wave were used to index learning and memory, and late positive potential in response to emotional non-face stimuli. While almost half the studies described changes in EEG measures across age, only eight studies disaggregated results based on gender, and six included children from low income households to assess the impact of SES on neurodevelopment. No studies were conducted in low- and middle-income countries. Conclusion This review has identified power across the EEG spectrum and ERP components to be the measures most commonly reported in studies in which preschool children engage in tasks indexing cognitive and social development. It has also highlighted the need for additional research into their changes across age and based on gender and SES.
Collapse
|
21
|
Consensus protocol for EEG and amplitude-integrated EEG assessment and monitoring in neonates. Clin Neurophysiol 2021; 132:886-903. [PMID: 33684728 DOI: 10.1016/j.clinph.2021.01.012] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 12/19/2020] [Accepted: 01/06/2021] [Indexed: 12/23/2022]
Abstract
The aim of this work is to establish inclusive guidelines on electroencephalography (EEG) applicable to all neonatal intensive care units (NICUs). Guidelines on ideal EEG monitoring for neonates are available, but there are significant barriers to their implementation in many centres around the world. These include barriers due to limited resources regarding the availability of equipment and technical and interpretive round-the-clock personnel. On the other hand, despite its limitations, amplitude-integrated EEG (aEEG) (previously called Cerebral Function Monitor [CFM]) is a common alternative used in NICUs. The Italian Neonatal Seizure Collaborative Network (INNESCO), working with all national scientific societies interested in the field of neonatal clinical neurophysiology, performed a systematic literature review and promoted interdisciplinary discussions among experts (neonatologists, paediatric neurologists, neurophysiologists, technicians) between 2017 and 2020 with the aim of elaborating shared recommendations. A consensus statement on videoEEG (vEEG) and aEEG for the principal neonatal indications was established. The authors propose a flexible frame of recommendations based on the complementary use of vEEG and aEEG applicable to the various neonatal units with different levels of complexity according to local resources and specific patient features. Suggestions for promoting cooperation between neonatologists, paediatric neurologists, and neurophysiologists, organisational restructuring, and teleneurophysiology implementation are provided.
Collapse
|
22
|
Gui J, Liang S, Sun Y, Liu Y, Chen C, Wang B, Zhong J, Yu Y, He S. Effect of perioperative amplitude-integrated electroencephalography on neurodevelopmental outcomes following infant heart surgery. Exp Ther Med 2020; 20:2879-2887. [PMID: 32765785 DOI: 10.3892/etm.2020.9004] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Accepted: 08/05/2019] [Indexed: 11/06/2022] Open
Abstract
The purpose of the current study was to determine the effect of perioperative amplitude-integrated electroencephalography (aEEG) on neurodevelopmental outcomes in infants with congenital heart disease (CHD). A total of 93 children with CHD were included in the current study. All patients enrolled in the present study had undergone cardiac surgery prior to 3 months of age and pre- or postoperative aEEG was monitored. Participants were assessed after 1 year using the Bayley Scales of Infant Test. A total of 82.2% of infants exhibited continuous normal voltage preoperatively (CNV) and 93.7% exhibited CNV postoperatively. Seizures were indicated in 2 infants preoperatively and 3 infants postoperatively. Compared with infants with PDI, infants with cyanotic CHD (β=17.218) exhibited a significantly lower MDI, an increased length of intensive care stay, and lower PDI scores (β=-0.577). Infants that underwent surgery with CPB exhibited higher PDI scores (β=11.956). Infants that exhibited behavioral problems also had lower PDI scores (β=-10.605). An abnormal preoperative background pattern and an absent postoperative SWC independently predicted poorer motor (P=0.014) and cognitive (P=0.049) outcomes at 1 year. The current study demonstrated that infants with CHD who underwent cardiac surgery prior to 3 months of age exhibited delayed neurodevelopmental outcomes, and that an aEEG assessment can aid in predicting these outcomes following surgery.
Collapse
Affiliation(s)
- Juan Gui
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China.,Department of NICU, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510080, P.R. China
| | - Suixin Liang
- Department of NICU, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510080, P.R. China
| | - Yunxia Sun
- Department of NICU, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510080, P.R. China
| | - Yumei Liu
- Department of NICU, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510080, P.R. China
| | - Chen Chen
- Department of NICU, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510080, P.R. China
| | - Bi Wang
- Department of NICU, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510080, P.R. China
| | - Jing Zhong
- Department of NICU, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510080, P.R. China
| | - Yuhui Yu
- Department of NICU, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510080, P.R. China
| | - Shaoru He
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China.,Department of NICU, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510080, P.R. China.,Department of Neonatal Cardiology, Guangdong Provincial Cardiovascular Institute, Guangzhou, Guangdong 510080, P.R. China
| |
Collapse
|
23
|
Lien R. Neurocritical care of premature infants. Biomed J 2020; 43:259-267. [PMID: 32333994 PMCID: PMC7424083 DOI: 10.1016/j.bj.2020.03.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 03/18/2020] [Accepted: 03/19/2020] [Indexed: 12/17/2022] Open
Abstract
Neurocritical care is an approach of comprehensive care through multidisciplinary coordination and implementation of neuroprotective strategies to reduce the risk of neurologic injury among critically ill patients. Premature infants are at a special risk of sustaining brain injury and having adverse neurodevelopmental outcome. The pathogenesis of "encephalopathy of prematurity" is tightly linked to hemodynamic instability during postnatal transition, immaturity of the cerebral vascular bed and nervous system, and the commonly encountered inflammation in an intensive care setting. Clinical assessment aided by renewed monitoring techniques, together with therapies supported by best available evidence may provide opportunities to salvage these vulnerable brains. Indeed, to promote optimal brain development and to ensure neurodevelopmental intact survival is of imperial priority in the modern care of preterm infants.
Collapse
Affiliation(s)
- Reyin Lien
- Division of Neonatology, Department of Pediatrics, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan.
| |
Collapse
|
24
|
Stevenson NJ, Oberdorfer L, Tataranno ML, Breakspear M, Colditz PB, de Vries LS, Benders MJNL, Klebermass-Schrehof K, Vanhatalo S, Roberts JA. Automated cot-side tracking of functional brain age in preterm infants. Ann Clin Transl Neurol 2020; 7:891-902. [PMID: 32368863 PMCID: PMC7318094 DOI: 10.1002/acn3.51043] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Accepted: 03/20/2020] [Indexed: 12/14/2022] Open
Abstract
Objective A major challenge in the care of preterm infants is the early identification of compromised neurological development. While several measures are routinely used to track anatomical growth, there is a striking lack of reliable and objective tools for tracking maturation of early brain function; a cornerstone of lifelong neurological health. We present a cot‐side method for measuring the functional maturity of the newborn brain based on routinely available neurological monitoring with electroencephalography (EEG). Methods We used a dataset of 177 EEG recordings from 65 preterm infants to train a multivariable prediction of functional brain age (FBA) from EEG. The FBA was validated on an independent set of 99 EEG recordings from 42 preterm infants. The difference between FBA and postmenstrual age (PMA) was evaluated as a predictor for neurodevelopmental outcome. Results The FBA correlated strongly with the PMA of an infant, with a median prediction error of less than 1 week. Moreover, individual babies follow well‐defined individual trajectories. The accuracy of the FBA applied to the validation set was statistically equivalent to the training set accuracy. In a subgroup of infants with repeated EEG recordings, a persistently negative predicted age difference was associated with poor neurodevelopmental outcome. Interpretation The FBA enables the tracking of functional neurodevelopment in preterm infants. This establishes proof of principle for growth charts for brain function, a new tool to assist clinical management and identify infants who will benefit most from early intervention.
Collapse
Affiliation(s)
- Nathan J Stevenson
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia
| | - Lisa Oberdorfer
- Department of Pediatrics, Division of Neonatology, Pediatric Intensive Care and Neuropediatrics, Medical University of Vienna, Vienna, Austria
| | - Maria-Luisa Tataranno
- Department of Neonatology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Michael Breakspear
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia.,Priority Research Center for Mind and Brain, University of Newcastle, Newcastle, NSW, 2305, Australia
| | - Paul B Colditz
- Centre for Clinical Research, Faculty of Medicine, University of Queensland, Brisbane, QLD, 4029, Australia
| | - Linda S de Vries
- Department of Neonatology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Manon J N L Benders
- Department of Neonatology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Katrin Klebermass-Schrehof
- Department of Pediatrics, Division of Neonatology, Pediatric Intensive Care and Neuropediatrics, Medical University of Vienna, Vienna, Austria
| | - Sampsa Vanhatalo
- Department of Children's Clinical Neurophysiology, BABA Center, Pediatric Research Center, Children's Hospital, HUS Medical Imaging Center, Helsinki University Central Hospital, University of Helsinki, Finland
| | - James A Roberts
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, 4006, Australia
| |
Collapse
|
25
|
Tataranno ML, Gui L, Hellström-Westas L, Toet M, Groenendaal F, Claessens NHP, Schuurmans J, Fellman V, Sävman K, de Vries LS, Huppi P, Benders MJNL. Morphine affects brain activity and volumes in preterms: An observational multi-center study. Early Hum Dev 2020; 144:104970. [PMID: 32276190 DOI: 10.1016/j.earlhumdev.2020.104970] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 02/04/2020] [Accepted: 02/04/2020] [Indexed: 11/29/2022]
Abstract
OBJECTIVE We hypothesized that morphine has a depressing effect on early brain activity, assessed using quantitative aEEG/EEG parameter and depressed activity will be associated with brain volumes at term in extremely preterm infants. STUDY DESIGN 174 preterm infants were enrolled in 3 European tertiary NICUs (mean GA:26 ± 1wks) and monitored during the first 72 h after birth with continuous 2 channel aEEG. Six epochs of aEEG recordings were selected and minimum amplitude of aEEG (min aEEG), percentage of time amplitude <5 μV (% of time < 5 μV), spontaneous activity transients (SATrate) and interSAT interval (ISI) were calculated. For infants receiving morphine, the cumulative morphine dosage was calculated. In a subgroup of 58 infants, good quality MRI at term equivalent age (TEA) and the cumulative morphine dose until TEA were available. The effects of morphine administration and cumulative dose on aEEG/EEG measures and on brain volumes were investigated. RESULTS Morphine administration had a significant effect on all quantitative aEEG/EEG measures, causing depression of early brain activity [longer ISI (β 2.900), reduced SAT rate (β -1.386), decreased min aEEG (β -0.782), and increased % of time < 5 μV (β 14.802)] in all epochs. A significant effect of GA and postnatal age on aEEG/EEG measures was observed. Cumulative morphine dose until TEA had a significant negative effect on total brain volume (TBV) (β -8.066) and cerebellar volume (β -1.080). CONCLUSIONS Administration of sedative drugs should be considered when interpreting aEEG/EEG together with the negative dose dependent morphine impact on brain development.
Collapse
Affiliation(s)
- M L Tataranno
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, the Netherlands
| | - L Gui
- Division of Development and Growth, Department of Pediatrics, University of Geneva, Geneva, Switzerland
| | - L Hellström-Westas
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - M Toet
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, the Netherlands
| | - F Groenendaal
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, the Netherlands
| | - N H P Claessens
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, the Netherlands
| | - J Schuurmans
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, the Netherlands
| | - V Fellman
- Lund University, Department of Clinical Sciences, Lund, Pediatrics, Skåne University Hospital, Lund, Sweden
| | - K Sävman
- Department of Pediatrics, Perinatal Center, Institute of Clinical Sciences, University of Gothenburg, Sahlgrenska Academy, Gothenburg, Sweden
| | - L S de Vries
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, the Netherlands
| | - P Huppi
- Division of Development and Growth, Department of Pediatrics, University of Geneva, Geneva, Switzerland
| | - M J N L Benders
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, the Netherlands.
| |
Collapse
|
26
|
Early preterm infants with abnormal psychomotor neurodevelopmental outcome at age two show alterations in amplitude-integrated electroencephalography signals. Early Hum Dev 2020; 141:104935. [PMID: 31835163 DOI: 10.1016/j.earlhumdev.2019.104935] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Revised: 11/26/2019] [Accepted: 12/02/2019] [Indexed: 11/23/2022]
Abstract
INTRODUCTION Recent studies showed that neurodevelopment in preterm infants can be predicted by using amplitude-integrated electroencephalography (aEEG)-derived parameters. In our previous study we demonstrated that aEEG could be useful in predicting neurodevelopmental outcome in very preterm infants at the corrected age of 2 years. AIM The aim of this study was to further evaluate aEEG for predicting neurodevelopmental outcome at the at the corrected age of 2 years in preterm infants. METHODS Between July 2010 and June 2016 440 very preterm infants were eligible for the study at Innsbruck Medical University Hospital. The aEEG was evaluated for the Burdjalov score in 306 preterm infants (mean gestational age 29.5 weeks; range: 24.1-31.9 weeks). At the corrected age of 2 years outcome was assessed by the Bayley Scales of Infant and Toddler Development. RESULTS The cohort was divided into three subgroups: 248 infants with normal outcome, 40 infants with delayed outcome and 18 infants with abnormal outcome. Burdjalov scores were lower in infants with delayed outcome than in infants with normal outcome and even lower in infants with abnormal outcome. Post-hoc analysis showed significant differences between normal and delayed psychomotor outcome at 18-24 h (5 (3;6) versus 3 (3;5), p = .024), 30-36 h (6 (4;8) versus 4 (4;6), p = .033), 42-48 h (7 (5;8.5) versus 4 (4;7), p = .003), 54-60 h (7 (6;9) versus 5 (4;7), p = .003), 66-72 h (8 (6;9) versus 6.5 (4.25;7.75), p = .027) and week one (8 (7;10) versus 6.5 (5;8), p = .021). Additionally, when comparing normal to abnormal outcome, a significant difference was found at week four (12 (9;12) versus 8 (7;10), p = .024). The Burdjalov score was only predictive for a delayed psychomotor outcome, presenting the highest area under the curve (0.690) at week two of life. CONCLUSION We observed differences in aEEG signals and neurodevelopmental outcome at the corrected age of 2 years, especially for psychomotor outcome. The predictive value of the Burdjalov score regarding neurodevelopmental outcome at the corrected age of 2 years in preterm infants was low.
Collapse
|
27
|
Feldmann M, Rousson V, Nguyen TD, Bernet V, Hagmann C, Latal B, Natalucci G. Cognitive outcome of early school-aged children born very preterm is not predicted by early short-term amplitude-integrated electroencephalography. Acta Paediatr 2020; 109:78-84. [PMID: 31254357 DOI: 10.1111/apa.14919] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 06/25/2019] [Accepted: 06/27/2019] [Indexed: 02/06/2023]
Abstract
AIM We investigated the association between early amplitude-integrated electroencephalography (aEEG) and cognitive outcome in very preterm infants at early school-age. METHODS This prospective cohort study, conducted in the Department of Neonatology, University Hospital Zurich, Switzerland, from 2009 to 2012, comprised of infants born at <32 weeks of gestation, who underwent continuous aEEG recording during the first 4 days of life. Cognitive outcome was assessed with the Kaufman-Assessment Battery for Children at 5 years. Univariate and multivariate logistic regressions were calculated between aEEG parameters and normal cognitive outcome, defined as an intelligence quotient (IQ) of at least 85. RESULTS The 118 (52.5% male) infants were born at a mean gestational age of 29.9 weeks and a mean birth weight of 1235 ± 363 g. We followed up 89 children at the age of five, and they had a mean IQ of 97.8 ± 12.7 with 21.3% under 85-and 2.2% had cerebral palsy. Univariate analyses found associations between aEEG measures and normal cognitive outcome, but these were no longer significant after adjustment for confounders. Socioeconomic status and neonatal morbidity were independent predictors of cognitive outcome. CONCLUSION Early short-term aEEG did not predict later cognitive outcome in our cohort of very preterm infants.
Collapse
Affiliation(s)
- Maria Feldmann
- Child Development Centre University Children's Hospital Zurich Zurich Switzerland
- Children's Research Centre University Children's Hospital Zurich Zurich Switzerland
| | - Valentin Rousson
- Institute for Social and Preventive Medicine, Statistical Unit Lausanne University Hospital Lausanne Switzerland
| | - Thi Dao Nguyen
- Department of Neonatology University of Zurich and University Hospital Zurich Zurich Switzerland
| | - Vera Bernet
- Department of Neonatology and Paediatric Intensive care University Children's Hospital Zurich Zurich Switzerland
| | - Cornelia Hagmann
- Children's Research Centre University Children's Hospital Zurich Zurich Switzerland
- Department of Neonatology and Paediatric Intensive care University Children's Hospital Zurich Zurich Switzerland
| | - Beatrice Latal
- Child Development Centre University Children's Hospital Zurich Zurich Switzerland
- Children's Research Centre University Children's Hospital Zurich Zurich Switzerland
| | - Giancarlo Natalucci
- Child Development Centre University Children's Hospital Zurich Zurich Switzerland
- Department of Neonatology University of Zurich and University Hospital Zurich Zurich Switzerland
| |
Collapse
|
28
|
Pittet-Metrailler MP, Almazrooei AM, Tam EW. Sensory assessment: Neurophysiology in neonates and neurodevelopmental outcome. HANDBOOK OF CLINICAL NEUROLOGY 2020; 174:183-203. [DOI: 10.1016/b978-0-444-64148-9.00014-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
|
29
|
Binder C, Giordano V, Thanhaeuser M, Kreissl A, Huber-Dangl M, Longford N, Haiden N, Berger A, Repa A, Klebermass-Schrehof K. A Mixed Lipid Emulsion Containing Fish Oil and Its Effect on Electrophysiological Brain Maturation in Infants of Extremely Low Birth Weight: A Secondary Analysis of a Randomized Clinical Trial. J Pediatr 2019; 211:46-53.e2. [PMID: 31030946 PMCID: PMC7115932 DOI: 10.1016/j.jpeds.2019.03.039] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 02/12/2019] [Accepted: 03/26/2019] [Indexed: 12/22/2022]
Abstract
OBJECTIVE To assess whether parenteral nutrition for infants of extremely low birth weight using a mixed lipid emulsion that contains fish oil influences electrophysiological brain maturation. STUDY DESIGN The study is a prespecified secondary outcome analysis of a randomized controlled trial of 230 infants of extremely low birth weight receiving a mixed (soybean oil, medium-chain triglycerides, olive oil, and fish oil; intervention) or a soybean oil-based lipid emulsion (control). The study was conducted at a single-level IV neonatal care unit (Medical University Vienna; June 2012 to October 2015). Electrophysiological brain maturation (background activity, sleep-wake cycling, and brain maturational scores) was assessed biweekly by amplitude-integrated electroencephalography (birth to discharge). RESULTS A total of 317 amplitude-integrated electroencephalography measurements (intervention: n = 165; control: n = 152) from 121 (intervention: n = 63; control: n = 58) of 230 infants of the core study were available for analysis. Demographic characteristics were not significantly different. By 28 weeks of postmenstrual age, infants receiving the intervention displayed significantly greater percentages of continuous background activity. Total maturational scores and individual scores for continuity, cycling, and bandwidth were significantly greater. Maximum maturational scores were reached 2 weeks earlier in the intervention group (36.4 weeks, 35.4-37.5) compared with the control group (38.4 weeks, 37.1-42.4) (median, IQR; P < .001). CONCLUSIONS Using a mixed parenteral lipid emulsion that contains fish oil, we found that electrophysiological brain maturation was accelerated in infants who were preterm. TRIAL REGISTRATION ClinicalTrials.gov: NCT01585935.
Collapse
Affiliation(s)
- Christoph Binder
- Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care Medicine and Neuropediatrics, Medical University of Vienna, Austria
| | - Vito Giordano
- Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care Medicine and Neuropediatrics, Medical University of Vienna, Austria
| | - Margarita Thanhaeuser
- Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care Medicine and Neuropediatrics, Medical University of Vienna, Austria
| | - Alexandra Kreissl
- Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care Medicine and Neuropediatrics, Medical University of Vienna, Austria
| | - Mercedes Huber-Dangl
- Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care Medicine and Neuropediatrics, Medical University of Vienna, Austria
| | - Nicholas Longford
- Section of Neonatal Medicine, Department of Medicine; Imperial College London, Chelsea and Westminster Campus, London, United Kingdom
| | - Nadja Haiden
- Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care Medicine and Neuropediatrics, Medical University of Vienna, Austria
| | - Angelika Berger
- Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care Medicine and Neuropediatrics, Medical University of Vienna, Austria
| | - Andreas Repa
- Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care Medicine and Neuropediatrics, Medical University of Vienna, Austria.
| | - Katrin Klebermass-Schrehof
- Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Pediatric Intensive Care Medicine and Neuropediatrics, Medical University of Vienna, Austria
| |
Collapse
|
30
|
Plomgaard AM, Andersen AD, Petersen TH, van de Looij Y, Thymann T, Sangild PT, Thomsen C, Sizonenko SV, Greisen G. Structural brain maturation differs between preterm and term piglets, whereas brain activity does not. Acta Paediatr 2019; 108:637-644. [PMID: 30144173 DOI: 10.1111/apa.14556] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2017] [Revised: 06/14/2018] [Accepted: 08/22/2018] [Indexed: 12/17/2022]
Abstract
AIM The aim of the study was to investigate whether amplitude-integrated electroencephalography (aEEG) and cerebral magnetic resonance imaging (MRI) in preterm piglets would provide measures of cerebral functional, microstructural and anatomical maturation, which might reflect the signs of functional brain immaturity, documented in preterm piglets. METHODS During July-October 2013 at the NEOMUNE Centre, Copenhagen University, Denmark, 31 preterm (90% gestation) and 10 term piglets underwent aEEG on days 1, 2, 4 and 11, and MRI on day 25. Physical activity levels were recorded. RESULTS Preterm showed delayed neonatal arousal and physical activity, relative to term piglets. Preterm piglets had lower growth rates and brain volume than term piglets, but aEEG patterns were similar. MRI mean diffusivity was also similar, but fractional anisotropy (FA) was lower in preterm piglets (p < 0.001). CONCLUSION Functional brain maturation, as assessed by aEEG, was relatively advanced in preterm piglets. Conversely, the low FA in the preterm piglets suggests that the white matter microstructure remains less mature in preterm compared to term piglets at postnatal day 25. The results might be utilised to define whether and how preterm piglets may contribute to preclinical models for brain development in preterm infants.
Collapse
Affiliation(s)
- A M Plomgaard
- Department of Neonatology; Rigshospitalet; Copenhagen University Hospital; Copenhagen Denmark
| | - A D Andersen
- Comparative Pediatrics and Nutrition; Department of Veterinary Clinical and Animal Science; Frederiksberg C Denmark
| | - T H Petersen
- Research Unit on Brain Injury Neurorehabilitation Copenhagen; Department of Neurorehabilitation; TBI Unit; Rigshospitalet; Copenhagen University Hospital; Hvidovre Denmark
| | - Y van de Looij
- Division of Child Development and Growth; University Children's Hospital Geneva; Geneva Switzerland
- Functional and Metabolic Imaging Laboratory; EPFL-SB-IPSB-LIFMET CH; Lausanne Switzerland
| | - T Thymann
- Comparative Pediatrics and Nutrition; Department of Veterinary Clinical and Animal Science; Frederiksberg C Denmark
| | - P T Sangild
- Comparative Pediatrics and Nutrition; Department of Veterinary Clinical and Animal Science; Frederiksberg C Denmark
| | - C Thomsen
- Department of Radiology; Rigshospitalet; Copenhagen University Hospital; Copenhagen Denmark
| | - S V Sizonenko
- Division of Child Development and Growth; University Children's Hospital Geneva; Geneva Switzerland
| | - G Greisen
- Department of Neonatology; Rigshospitalet; Copenhagen University Hospital; Copenhagen Denmark
| |
Collapse
|
31
|
O'Toole JM, Pavlidis E, Korotchikova I, Boylan GB, Stevenson NJ. Temporal evolution of quantitative EEG within 3 days of birth in early preterm infants. Sci Rep 2019; 9:4859. [PMID: 30890761 PMCID: PMC6425040 DOI: 10.1038/s41598-019-41227-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Accepted: 03/01/2019] [Indexed: 01/09/2023] Open
Abstract
For the premature newborn, little is known about changes in brain activity during transition to extra-uterine life. We aim to quantify these changes in relation to the longer-term maturation of the developing brain. We analysed EEG for up to 72 hours after birth from 28 infants born <32 weeks of gestation. These infants had favourable neurodevelopment at 2 years of age and were without significant neurological compromise at time of EEG monitoring. Quantitative EEG was generated using features representing EEG power, discontinuity, spectral distribution, and inter-hemispheric connectivity. We found rapid changes in cortical activity over the 3 days distinct from slower changes associated with gestational age: for many features, evolution over 1 day after birth is equivalent to approximately 1 to 2.5 weeks of maturation. Considerable changes in the EEG immediately after birth implies that postnatal adaption significantly influences cerebral activity for early preterm infants. Postnatal age, in addition to gestational age, should be considered when analysing preterm EEG within the first few days after birth.
Collapse
Affiliation(s)
- John M O'Toole
- Neonatal Brain Research Group, Irish Centre for Fetal and Neonatal Translational Research (INFANT), University College Cork, Cork, Ireland.
- Department of Paediatrics and Child Health, University College Cork, Cork, Ireland.
| | - Elena Pavlidis
- Neonatal Brain Research Group, Irish Centre for Fetal and Neonatal Translational Research (INFANT), University College Cork, Cork, Ireland
| | - Irina Korotchikova
- Department of Paediatrics and Child Health, University College Cork, Cork, Ireland
| | - Geraldine B Boylan
- Neonatal Brain Research Group, Irish Centre for Fetal and Neonatal Translational Research (INFANT), University College Cork, Cork, Ireland
- Department of Paediatrics and Child Health, University College Cork, Cork, Ireland
| | - Nathan J Stevenson
- BABA Center, Department of Children's Clinical Neurophysiology, Children's Hospital, HUS Medical Imaging Center, Helsinki University Central Hospital and University of Helsinki, Helsinki, Finland
| |
Collapse
|
32
|
Variane GFT, Chock VY, Netto A, Pietrobom RFR, Van Meurs KP. Simultaneous Near-Infrared Spectroscopy (NIRS) and Amplitude-Integrated Electroencephalography (aEEG): Dual Use of Brain Monitoring Techniques Improves Our Understanding of Physiology. Front Pediatr 2019; 7:560. [PMID: 32039117 PMCID: PMC6985148 DOI: 10.3389/fped.2019.00560] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Accepted: 12/23/2019] [Indexed: 01/10/2023] Open
Abstract
Continuous brain monitoring tools are increasingly being used in the neonatal intensive care unit (NICU) to assess brain function and cerebral oxygenation in neonates at high risk for brain injury. Near infrared spectroscopy (NIRS) is useful in critically ill neonates as a trend monitor to evaluate the balance between tissue oxygen delivery and consumption, providing cerebral and somatic oximetry values, and allowing earlier identification of abnormalities in hemodynamics and cerebral perfusion. Amplitude-integrated electroencephalography (aEEG) is a method for continuous monitoring of cerebral function at the bedside. Simultaneous use of both monitoring modalities may improve the understanding of alterations in hemodynamics and risk of cerebral injury. Several studies have described correlations between aEEG and NIRS monitoring, especially in infants with hypoxic-ischemic encephalopathy (HIE), but few describe the combined use of both monitoring techniques in a wider range of clinical scenarios. We review the use of NIRS and aEEG in neonates and describe four cases where abnormal NIRS values were immediately followed by changes in brain activity as seen on aEEG allowing the impact of a hemodynamic disturbance on the brain to be correlated with the changes in the aEEG background pattern. These four clinical scenarios demonstrate how simultaneous neuromonitoring with aEEG and NIRS provides important clinical information. We speculate that routine use of these combined monitoring modalities may become the future standard for neonatal neuromonitoring.
Collapse
Affiliation(s)
- Gabriel Fernando Todeschi Variane
- Grupo Santa Joana, Division of Neonatology, São Paulo, Brazil.,Division of Neonatology, Department of Pediatrics, Irmandade da Santa Casa de Misericórdia de São Paulo, São Paulo, Brazil.,Protecting Brains and Saving Futures Organization, São Paulo, Brazil
| | - Valerie Y Chock
- Division of Neonatal and Developmental Medicine, Stanford University School of Medicine and Packard Children's Hospital Stanford, Palo Alto, CA, United States
| | - Alexandre Netto
- Division of Neonatology, Department of Pediatrics, Irmandade da Santa Casa de Misericórdia de São Paulo, São Paulo, Brazil.,Protecting Brains and Saving Futures Organization, São Paulo, Brazil
| | - Rafaela Fabri Rodrigues Pietrobom
- Division of Neonatology, Department of Pediatrics, Irmandade da Santa Casa de Misericórdia de São Paulo, São Paulo, Brazil.,Protecting Brains and Saving Futures Organization, São Paulo, Brazil.,Neonatal Unit, Sociedade Beneficente Israelita Brasileira Hospital Albert Einstein, São Paulo, Brazil
| | - Krisa Page Van Meurs
- Division of Neonatal and Developmental Medicine, Stanford University School of Medicine and Packard Children's Hospital Stanford, Palo Alto, CA, United States
| |
Collapse
|
33
|
Franckx H, Hasaerts D, Huysentruyt K, Cools F. Cranial ultrasound and neurophysiological testing to predict neurological outcome in infants born very preterm. Dev Med Child Neurol 2018; 60:1232-1238. [PMID: 29981239 DOI: 10.1111/dmcn.13961] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/04/2018] [Indexed: 11/28/2022]
Abstract
AIM Infants born preterm are at risk of cerebral palsy (CP) and motor or cognitive developmental delay. For clinicians, it is essential to know the relative predictive accuracy of the most commonly used neuroimaging and neurophysiological tests for the early prediction of adverse neurodevelopmental outcome. The aim of this study was to compare the accuracy of these tests in survivors of a population of infants born very preterm. METHOD A retrospective cohort study was performed in 163 children born before 32 weeks gestational age. We compared the accuracy in predicting adverse neurodevelopmental outcome at the age of 2 years 6 months of early and late cranial ultrasound (CUS), magnetic resonance imaging, somatosensory evoked potentials after stimulation of the posterior tibial nerve, and electroencephalography by calculating positive and negative likelihood ratios. RESULTS An abnormal early CUS is the best predictor of the presence of CP (positive likelihood ratio 6.09), motor developmental delay (positive likelihood ratio 3.11), and cognitive developmental delay (positive likelihood ratio 5.66). Overall, negative likelihood ratios were poor, ranging between 0.49 and 0.98, meaning that a normal test result had only minimal influence on the probability of adverse neurological outcome. INTERPRETATION None of the diagnostic tests had a good performance in predicting future neurodevelopmental problems in infants born preterm. A normal test result provided very little clinically useful information. WHAT THIS PAPER ADDS An abnormal early cranial ultrasound (positive test result) is the best predictor of adverse neurodevelopmental outcome. All negative results have poor predictive value of future neurodevelopmental problems.
Collapse
Affiliation(s)
- Helen Franckx
- Department of Paediatric Neurology, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Daniele Hasaerts
- Department of Paediatric Neurology, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Koen Huysentruyt
- Department of Paediatric Gastroenterology, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Filip Cools
- Department of Neonatology, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel (VUB), Brussels, Belgium
| |
Collapse
|
34
|
Dempsey EM, Kooi EMW, Boylan G. It's All About the Brain-Neuromonitoring During Newborn Transition. Semin Pediatr Neurol 2018; 28:48-59. [PMID: 30522728 DOI: 10.1016/j.spen.2018.05.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- E M Dempsey
- Department of Paediatrics and Child Health, Neonatal Intensive Care Unit, University College Cork, Cork, Ireland; INFANT, Irish Centre for Fetal and Neonatal Translational Research, University College Cork, Cork, Ireland
| | - E M W Kooi
- Department of Paediatrics and Child Health, Neonatal Intensive Care Unit, University College Cork, Cork, Ireland; Division of Neonatology, University of Groningen, University Medical Center Groningen, Beatrix Children's Hospital, Groningen, The Netherlands
| | - Geraldine Boylan
- Department of Paediatrics and Child Health, Neonatal Intensive Care Unit, University College Cork, Cork, Ireland; INFANT, Irish Centre for Fetal and Neonatal Translational Research, University College Cork, Cork, Ireland.
| |
Collapse
|
35
|
Abbasi H, Drury PP, Lear CA, Gunn AJ, Davidson JO, Bennet L, Unsworth CP. EEG sharp waves are a biomarker of striatal neuronal survival after hypoxia-ischemia in preterm fetal sheep. Sci Rep 2018; 8:16312. [PMID: 30397231 PMCID: PMC6218488 DOI: 10.1038/s41598-018-34654-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Accepted: 10/16/2018] [Indexed: 01/12/2023] Open
Abstract
The timing of hypoxia-ischemia (HI) in preterm infants is often uncertain and there are few biomarkers to determine whether infants are in a treatable stage of injury. We evaluated whether epileptiform sharp waves recorded from the parietal cortex could provide early prediction of neuronal loss after HI. Preterm fetal sheep (0.7 gestation) underwent acute HI induced by complete umbilical cord occlusion for 25 minutes (n = 6) or sham occlusion (control, n = 6). Neuronal survival was assessed 7 days after HI by immunohistochemistry. Sharp waves were quantified manually and using a wavelet-type-2-fuzzy-logic-system during the first 4 hours of recovery. HI resulted in significant subcortical neuronal loss. Sharp waves counted by the automated classifier in the first 30 minutes after HI were associated with greater neuronal survival in the caudate nucleus (r = 0.80), whereas sharp waves between 2–4 hours after HI were associated with reduced neuronal survival (r = −0.83). Manual and automated counts were closely correlated. This study suggests that automated quantification of sharp waves may be useful for early assessment of HI injury in preterm infants. However, the pattern of evolution of sharp waves after HI was markedly affected by the severity of neuronal loss, and therefore early, continuous monitoring is essential.
Collapse
Affiliation(s)
- Hamid Abbasi
- Department of Engineering Science, The University of Auckland, Auckland, New Zealand
| | - Paul P Drury
- Department of Physiology, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
| | - Christopher A Lear
- Department of Physiology, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
| | - Alistair J Gunn
- Department of Physiology, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
| | - Joanne O Davidson
- Department of Physiology, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
| | - Laura Bennet
- Department of Physiology, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
| | - Charles P Unsworth
- Department of Engineering Science, The University of Auckland, Auckland, New Zealand.
| |
Collapse
|
36
|
Depoorter A, Früh J, Herrmann K, Zanchi D, Weber P. Predicting neurodevelopmental outcome in preterm born infants using auditory event-related potentials: A systematic review. Neurosci Biobehav Rev 2018; 89:99-110. [DOI: 10.1016/j.neubiorev.2018.02.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Revised: 02/05/2018] [Accepted: 02/13/2018] [Indexed: 10/18/2022]
|
37
|
Current Resources for Evidence-Based Practice, November/December 2017. J Obstet Gynecol Neonatal Nurs 2017; 46:878-885. [DOI: 10.1016/j.jogn.2017.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
|
38
|
Comparison of Two Amplitude-Integrated Electroencephalography (aEEG) Monitors in Term Neonates. J Med Syst 2017; 41:114. [PMID: 28616802 DOI: 10.1007/s10916-017-0758-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Accepted: 06/01/2017] [Indexed: 10/19/2022]
|
39
|
Finn D, Dempsey EM, Boylan GB. Lost in Transition: A Systematic Review of Neonatal Electroencephalography in the Delivery Room-Are We Forgetting an Important Biomarker for Newborn Brain Health? Front Pediatr 2017; 5:173. [PMID: 28848727 PMCID: PMC5554119 DOI: 10.3389/fped.2017.00173] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Accepted: 07/24/2017] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Electroencephalography (EEG) monitoring is routine in neonatal intensive care units (NICUs) for detection of seizures, neurological monitoring of infants following perinatal asphyxia, and increasingly, following preterm delivery. EEG monitoring is not routinely commenced in the delivery room (DR). OBJECTIVES To determine the feasibility of recording neonatal EEG in the DR, and to assess its usefulness as a marker of neurological well-being during immediate newborn transition. METHODS We performed a systematic stepwise search of PubMed using the following terms: infant, newborns, neonate, DR, afterbirth, transition, and EEG. Only human studies describing EEG monitoring in the first 15 min following delivery were included. Infants of all gestational ages were included. RESULTS Two original studies were identified that described EEG monitoring of newborn infants within the DR. Both prospective observational studies used amplitude-integrated EEG (aEEG) monitoring and found it feasible in infants >34 weeks' gestation; however, technical challenges made it difficult to obtain continuous reliable data. Different EEG patterns were identified in uncompromised newborns and those requiring resuscitation. CONCLUSION EEG monitoring is possible in the DR and may provide an objective baseline measure of neurological function. Further feasibility studies are required to overcome technical challenges in the DR, but these challenges are not insurmountable with modern technology.
Collapse
Affiliation(s)
- Daragh Finn
- Department of Paediatrics and Child Health, University College Cork, Cork, Ireland.,Irish Centre for Fetal and Neonatal Translational Research, University College Cork, Cork, Ireland
| | - Eugene M Dempsey
- Department of Paediatrics and Child Health, University College Cork, Cork, Ireland.,Irish Centre for Fetal and Neonatal Translational Research, University College Cork, Cork, Ireland
| | - Geraldine B Boylan
- Department of Paediatrics and Child Health, University College Cork, Cork, Ireland.,Irish Centre for Fetal and Neonatal Translational Research, University College Cork, Cork, Ireland
| |
Collapse
|