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Gubler DFL, Wenger A, Boos V, Liamlahi R, Hagmann C, Brotschi B, Grass B. Redirection of Care for Neonates with Hypoxic-Ischemic Encephalopathy Receiving Therapeutic Hypothermia. J Clin Med 2025; 14:317. [PMID: 39860326 PMCID: PMC11765625 DOI: 10.3390/jcm14020317] [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: 11/30/2024] [Revised: 12/23/2024] [Accepted: 01/03/2025] [Indexed: 01/27/2025] Open
Abstract
Background/Objectives: Hypoxic-ischemic encephalopathy (HIE) in late preterm and term neonates accounts for neonatal mortality and unfavorable neurodevelopmental outcomes in survivors despite therapeutic hypothermia (TH) for neuroprotection. The circumstances of death in neonates with HIE, including involvement of neonatal palliative care (NPC) specialists and neurodevelopmental follow-up at 18-24 months in survivors, warrant further evaluation. Methods: A retrospective multicenter cohort study including neonates ≥ 35 weeks gestational age with moderate to severe HIE receiving TH, registered in the Swiss National Asphyxia and Cooling Register between 2011 and 2021. Neurodevelopmental follow-up at 18-24 months in survivors was assessed. The groups of survivors and deaths were compared regarding perinatal demographic and HIE data. Prognostic factors leading to redirection of care (ROC) were depicted. Results: A total of 137 neonates were included, with 23 (16.8%) deaths and 114 (83.2%) survivors. All but one death (95.7%) occurred after ROC, with death on a median of 3.5 (2-6) days of life. Severe encephalopathy was indicated by a Sarnat score of 3 on admission, seizures were more frequent, and blood lactate values were higher on postnatal days 1 to 4 in neonates who died. Lactate in worst blood gas analysis (unit-adjusted odds ratio 1.25, 95% CI 1.02-1.54, p = 0.0352) was the only variable independently associated with ROC. NPC specialists were involved in one case. Of 114 survivors, 88 (77.2%) had neurodevelopmental assessments, and 21 (23.9%) of those had unfavorable outcomes (moderate to severe disability). Conclusions: Death in neonates with moderate to severe HIE receiving TH almost exclusively occurred after ROC. Parents thus had to make critical decisions and accompany their neonate at end-of-life within the first week of life. Involvement of NPC specialists is encouraged in ROC so that there is continuity of care for the families whether the neonate survives or not.
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Affiliation(s)
- Deborah F. L. Gubler
- Division of Pediatric Palliative Care, University Children’s Hospital Zurich, CH-8032 Zurich, Switzerland
| | - Adriana Wenger
- Department of Intensive Care and Neonatology, University Children’s Hospital Zurich, CH-8032 Zurich, Switzerland
- Newborn Research, Department of Neonatology, University Hospital Zurich, CH-8091 Zurich, Switzerland
| | - Vinzenz Boos
- Newborn Research, Department of Neonatology, University Hospital Zurich, CH-8091 Zurich, Switzerland
| | - Rabia Liamlahi
- Child Development Center, University Children’s Hospital of Zurich, University of Zurich, CH-8032 Zurich, Switzerland
- Children’s Research Center, University Children’s Hospital of Zurich, University of Zurich, CH-8032 Zurich, Switzerland
| | - Cornelia Hagmann
- Department of Intensive Care and Neonatology, University Children’s Hospital Zurich, CH-8032 Zurich, Switzerland
- Children’s Research Center, University Children’s Hospital of Zurich, University of Zurich, CH-8032 Zurich, Switzerland
| | - Barbara Brotschi
- Department of Intensive Care and Neonatology, University Children’s Hospital Zurich, CH-8032 Zurich, Switzerland
- Children’s Research Center, University Children’s Hospital of Zurich, University of Zurich, CH-8032 Zurich, Switzerland
| | - Beate Grass
- Newborn Research, Department of Neonatology, University Hospital Zurich, CH-8091 Zurich, Switzerland
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Tang Z, Mahmoodi S, Meng D, Darekar A, Vollmer B. Rule-based deep learning method for prognosis of neonatal hypoxic-ischemic encephalopathy by using susceptibility weighted image analysis. MAGMA (NEW YORK, N.Y.) 2024; 37:227-239. [PMID: 38252196 DOI: 10.1007/s10334-023-01139-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Revised: 12/06/2023] [Accepted: 12/11/2023] [Indexed: 01/23/2024]
Abstract
OBJECTIVE Susceptibility weighted imaging (SWI) of neonatal hypoxic-ischemic brain injury can provide assistance in the prognosis of neonatal hypoxic-ischemic encephalopathy (HIE). We propose a convolutional neural network model to classify SWI images with HIE. MATERIALS AND METHODS Due to the lack of a large dataset, transfer learning method with fine-tuning a pre-trained ResNet 50 is introduced. We randomly select 11 datasets from patients with normal neurology outcomes (n = 31) and patients with abnormal neurology outcomes (n = 11) at 24 months of age to avoid bias in classification due to any imbalance in the data. RESULTS We develop a rule-based system to improve the classification performance, with an accuracy of 0.93 ± 0.09. We also compute heatmaps produced by the Grad-CAM technique to analyze which areas of SWI images contributed more to the classification patients with abnormal neurology outcome. CONCLUSION Such regions that are important in the classification accuracy can interpret the relationship between the brain regions affected by hypoxic-ischemic and neurodevelopmental outcomes of infants with HIE at the age of 2 years.
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Affiliation(s)
- Zhen Tang
- School of Computer Science and Technology, AnHui University of Technology, Maxiang Street, Maanshan, 243032, Anhui, China.
| | - Sasan Mahmoodi
- School of Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, UK
| | - Di Meng
- School of Computer Science and Technology, AnHui University of Technology, Maxiang Street, Maanshan, 243032, Anhui, China
| | - Angela Darekar
- Department of Medical Physics, University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD, UK
| | - Brigitte Vollmer
- Clinical Neurosciences and Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, SO17 1BJ, UK
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Christensen R, de Vries LS, Cizmeci MN. Neuroimaging to guide neuroprognostication in the neonatal intensive care unit. Curr Opin Pediatr 2024; 36:190-197. [PMID: 37800448 DOI: 10.1097/mop.0000000000001299] [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] [Indexed: 10/07/2023]
Abstract
PURPOSE OF REVIEW Neurological problems are common in infants admitted to the neonatal intensive care unit (NICU). Various neuroimaging modalities are available for neonatal brain imaging and are selected based on presenting problem, timing and patient stability. RECENT FINDINGS Neuroimaging findings, taken together with clinical factors and serial neurological examination can be used to predict future neurodevelopmental outcomes. In this narrative review, we discuss neonatal neuroimaging modalities, and how these can be optimally utilized to assess infants in the NICU. We will review common patterns of brain injury and neurodevelopmental outcomes in hypoxic-ischemic encephalopathy, perinatal arterial ischemic stroke and preterm brain injury. SUMMARY Timely and accurate neuroprognostication can identify infants at risk for neurodevelopmental impairment and allow for early intervention and targeted therapies to improve outcomes.
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Affiliation(s)
- Rhandi Christensen
- Division of Neurology, The Hospital for Sick Children and the University of Toronto, Toronto, Canada
| | - Linda S de Vries
- Division of Neonatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Mehmet N Cizmeci
- Division of Neonatology, The Hospital for Sick Children and the University of Toronto, Toronto, Canada
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Cizmeci MN, Wilson D, Singhal M, El Shahed A, Kalish B, Tam E, Chau V, Ly L, Kazazian V, Hahn C, Branson H, Miller SP. Neonatal Hypoxic-Ischemic Encephalopathy Spectrum: Severity-Stratified Analysis of Neuroimaging Modalities and Association with Neurodevelopmental Outcomes. J Pediatr 2024; 266:113866. [PMID: 38061422 DOI: 10.1016/j.jpeds.2023.113866] [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: 08/29/2023] [Revised: 10/26/2023] [Accepted: 12/04/2023] [Indexed: 01/01/2024]
Abstract
OBJECTIVE To compare hypoxic-ischemic injury on early cranial ultrasonography (cUS) and post-rewarming brain magnetic resonance imaging (MRI) in newborn infants with hypoxic-ischemic encephalopathy (HIE) and to correlate that neuroimaging with neurodevelopmental outcomes. STUDY DESIGN This was a retrospective cohort study of infants with mild, moderate, and severe HIE treated with therapeutic hypothermia and evaluated with early cUS and postrewarming MRI. Validated scoring systems were used to compare the severity of brain injury on cUS and MRI. Neurodevelopmental outcomes were assessed at 18 months of age. RESULTS Among the 149 included infants, abnormal white matter (WM) and deep gray matter (DGM) hyperechogenicity on cUS in the first 48 hours after birth were more common in the severe HIE group than the mild HIE group (81% vs 39% and 50% vs 0%, respectively; P < .001). In infants with a normal cUS, 95% had normal or mildly abnormal brain MRIs. In infants with severely abnormal cUS, none had normal and 83% had severely abnormal brain MRIs. Total abnormality scores on cUS were higher in neonates with near-total brain injury on MRI than in neonates with normal MRI or WM-predominant injury pattern (adjusted P < .001 for both). In the multivariable model, a severely abnormal MRI was the only independent risk factor for adverse outcomes (OR: 19.9, 95% CI: 4.0-98.1; P < .001). CONCLUSION The present study shows the complementary utility of cUS in the first 48 hours after birth as a predictive tool for the presence of hypoxic-ischemic injury on brain MRI.
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Affiliation(s)
- Mehmet N Cizmeci
- Division of Neonatology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Canada.
| | - Diane Wilson
- Division of Neonatology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Maya Singhal
- Division of Neurology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Amr El Shahed
- Division of Neonatology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Brian Kalish
- Division of Neonatology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Emily Tam
- Division of Neurology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Vann Chau
- Division of Neurology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Linh Ly
- Division of Neonatology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Vanna Kazazian
- Division of Neurology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Cecil Hahn
- Division of Neurology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Helen Branson
- Division of Radiology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Steven P Miller
- Division of Neurology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Canada; Department of Pediatrics, BC Children's Hospital, University of British Columbia, Vancouver, Canada
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Falsaperla R, Sciuto S, Gioè D, Sciuto L, Pisani F, Pavone P, Ruggieri M. Mild Hypoxic-Ischemic Encephalopathy: Can Neurophysiological Monitoring Predict Unfavorable Neurological Outcome? A Systematic Review and Meta-analysis. Am J Perinatol 2021; 40:833-838. [PMID: 34666398 DOI: 10.1055/s-0041-1736593] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVE Hypoxic-ischemic encephalopathy (HIE) is the second cause of neonatal deaths and one of the main conditions responsible for long-term neurological disability. Contrary to past belief, children with mild HIE can also experience long-term neurological sequelae. The aim of this systematic review is to determine the predictive value of long-term neurological outcome of (electroencephalogram) EEG/amplitude-integrated electroencephalogram (aEEG) in children who complained mild HIE. STUDY DESIGN From a first search on PubMed, Google Scholar, and clinicalTrials.gov databases, only five articles were considered suitable for this study review. A statistical meta-analysis with the evaluation of odds ratio was performed on three of these studies. RESULTS No correlation was found between the characteristics of the electrical activity of the brain obtained through EEG/aEEG in infants with mild HIE and subsequent neurological involvement. CONCLUSION EEG/aEEG monitoring in infants with mild HIE cannot be considered a useful tool in predicting their neurodevelopmental outcome, and its use for this purpose is reported as barely reliable. KEY POINTS · Hypoxic-Ischemic Encephalopathy is responsible for long-term neurological outcome, even in newborns with mild HIE.. · No correlation was found between EEG/aEEG trace in infants with mild HIE and neurological sequelae.. · Neurophysiological monitoring, in mild HIE, cannot predic neurodevelopmental outcome..
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Affiliation(s)
- Raffaele Falsaperla
- Division of Pediatrics and Pediatric Emergency, University Hospital Policlinico "Rodolico-San Marco," Catania, Italy.,Division of Neonatal Intensive Care and Neonatology, University Hospital Policlinico "Rodolico-San Marco," Catania, Italy
| | - Sarah Sciuto
- Division of Pediatrics and Child Neuropsychiatry, Department of Clinical and Experimental Medicine, Pediatrics Postgraduate Residency Program, University of Catania, Catania, Italy
| | - Daniela Gioè
- Division of Pediatrics, Hospital of Lentini, Lentini, Italy
| | - Laura Sciuto
- Division of Pediatrics and Child Neuropsychiatry, Department of Clinical and Experimental Medicine, Pediatrics Postgraduate Residency Program, University of Catania, Catania, Italy
| | - Francesco Pisani
- Division of Pediatrics, University Hospital of Children "Pietro Barilla," Parma, Italy
| | - Piero Pavone
- Division of Rare Diseases of the Nervous System in Childhood, Department of Clinical and Experimental Medicine, Section of Pediatrics and Child Neuropsychiatry, University of Catania, Catania, Italy
| | - Martino Ruggieri
- Division of Rare Diseases of the Nervous System in Childhood, Department of Clinical and Experimental Medicine, Section of Pediatrics and Child Neuropsychiatry, University of Catania, Catania, Italy
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