Current Status and Future Directions of Neuromonitoring With Emerging Technologies in Neonatal Care
Neonatology has experienced a significant reduction in mortality rates of the preterm population and critically ill infants over the last few decades. Now, the emphasis is directed toward improving long-term neurodevelopmental outcomes and quality of life. Brain-focused care has emerged as a necessi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-03-01
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| Series: | Frontiers in Pediatrics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fped.2021.755144/full |
| _version_ | 1818311146923360256 |
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| author | Gabriel Fernando Todeschi Variane Gabriel Fernando Todeschi Variane Gabriel Fernando Todeschi Variane João Paulo Vasques Camargo João Paulo Vasques Camargo Daniela Pereira Rodrigues Daniela Pereira Rodrigues Maurício Magalhães Maurício Magalhães Maurício Magalhães Marcelo Jenné Mimica Marcelo Jenné Mimica |
| author_facet | Gabriel Fernando Todeschi Variane Gabriel Fernando Todeschi Variane Gabriel Fernando Todeschi Variane João Paulo Vasques Camargo João Paulo Vasques Camargo Daniela Pereira Rodrigues Daniela Pereira Rodrigues Maurício Magalhães Maurício Magalhães Maurício Magalhães Marcelo Jenné Mimica Marcelo Jenné Mimica |
| author_sort | Gabriel Fernando Todeschi Variane |
| collection | DOAJ |
| description | Neonatology has experienced a significant reduction in mortality rates of the preterm population and critically ill infants over the last few decades. Now, the emphasis is directed toward improving long-term neurodevelopmental outcomes and quality of life. Brain-focused care has emerged as a necessity. The creation of neonatal neurocritical care units, or Neuro-NICUs, provides strategies to reduce brain injury using standardized clinical protocols, methodologies, and provider education and training. Bedside neuromonitoring has dramatically improved our ability to provide assessment of newborns at high risk. Non-invasive tools, such as continuous electroencephalography (cEEG), amplitude-integrated electroencephalography (aEEG), and near-infrared spectroscopy (NIRS), allow screening for seizures and continuous evaluation of brain function and cerebral oxygenation at the bedside. Extended and combined uses of these techniques, also described as multimodal monitoring, may allow practitioners to better understand the physiology of critically ill neonates. Furthermore, the rapid growth of technology in the Neuro-NICU, along with the increasing use of telemedicine and artificial intelligence with improved data mining techniques and machine learning (ML), has the potential to vastly improve decision-making processes and positively impact outcomes. This article will cover the current applications of neuromonitoring in the Neuro-NICU, recent advances, potential pitfalls, and future perspectives in this field. |
| first_indexed | 2024-12-13T07:57:20Z |
| format | Article |
| id | doaj.art-f9912929110a4a56b439c10a3108c687 |
| institution | Directory Open Access Journal |
| issn | 2296-2360 |
| language | English |
| last_indexed | 2024-12-13T07:57:20Z |
| publishDate | 2022-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Pediatrics |
| spelling | doaj.art-f9912929110a4a56b439c10a3108c6872022-12-21T23:54:31ZengFrontiers Media S.A.Frontiers in Pediatrics2296-23602022-03-01910.3389/fped.2021.755144755144Current Status and Future Directions of Neuromonitoring With Emerging Technologies in Neonatal CareGabriel Fernando Todeschi Variane0Gabriel Fernando Todeschi Variane1Gabriel Fernando Todeschi Variane2João Paulo Vasques Camargo3João Paulo Vasques Camargo4Daniela Pereira Rodrigues5Daniela Pereira Rodrigues6Maurício Magalhães7Maurício Magalhães8Maurício Magalhães9Marcelo Jenné Mimica10Marcelo Jenné Mimica11Division of Neonatology, Department of Pediatrics, Irmandade de Misericordia da Santa Casa de São Paulo, São Paulo, BrazilClinical Research Department, Protecting Brains and Saving Futures Organization, São Paulo, BrazilDivision of Neonatology, Grupo Santa Joana, São Paulo, BrazilClinical Research Department, Protecting Brains and Saving Futures Organization, São Paulo, BrazilData Science Department, OPD Team, São Paulo, BrazilClinical Research Department, Protecting Brains and Saving Futures Organization, São Paulo, BrazilPediatric Nursing Department, Escola Paulista de Enfermagem, Universidade Federal de São Paulo, São Paulo, BrazilDivision of Neonatology, Department of Pediatrics, Irmandade de Misericordia da Santa Casa de São Paulo, São Paulo, BrazilClinical Research Department, Protecting Brains and Saving Futures Organization, São Paulo, BrazilDepartment of Pediatrics, Faculdade de Ciências Médicas da Santa Casa de São Paulo, São Paulo, BrazilDepartment of Pathology, Faculdade de Ciências Médicas da Santa Casa de São Paulo, São Paulo, BrazilDepartment of Pediatrics, Irmandade da Santa Casa de Misericórdia de São Paulo, São Paulo, BrazilNeonatology has experienced a significant reduction in mortality rates of the preterm population and critically ill infants over the last few decades. Now, the emphasis is directed toward improving long-term neurodevelopmental outcomes and quality of life. Brain-focused care has emerged as a necessity. The creation of neonatal neurocritical care units, or Neuro-NICUs, provides strategies to reduce brain injury using standardized clinical protocols, methodologies, and provider education and training. Bedside neuromonitoring has dramatically improved our ability to provide assessment of newborns at high risk. Non-invasive tools, such as continuous electroencephalography (cEEG), amplitude-integrated electroencephalography (aEEG), and near-infrared spectroscopy (NIRS), allow screening for seizures and continuous evaluation of brain function and cerebral oxygenation at the bedside. Extended and combined uses of these techniques, also described as multimodal monitoring, may allow practitioners to better understand the physiology of critically ill neonates. Furthermore, the rapid growth of technology in the Neuro-NICU, along with the increasing use of telemedicine and artificial intelligence with improved data mining techniques and machine learning (ML), has the potential to vastly improve decision-making processes and positively impact outcomes. This article will cover the current applications of neuromonitoring in the Neuro-NICU, recent advances, potential pitfalls, and future perspectives in this field.https://www.frontiersin.org/articles/10.3389/fped.2021.755144/fullamplitude-integrated electroencephalographynear-infrared spectroscopymultimodal monitoringtelemedicineartificial intelligencemachine learning |
| spellingShingle | Gabriel Fernando Todeschi Variane Gabriel Fernando Todeschi Variane Gabriel Fernando Todeschi Variane João Paulo Vasques Camargo João Paulo Vasques Camargo Daniela Pereira Rodrigues Daniela Pereira Rodrigues Maurício Magalhães Maurício Magalhães Maurício Magalhães Marcelo Jenné Mimica Marcelo Jenné Mimica Current Status and Future Directions of Neuromonitoring With Emerging Technologies in Neonatal Care Frontiers in Pediatrics amplitude-integrated electroencephalography near-infrared spectroscopy multimodal monitoring telemedicine artificial intelligence machine learning |
| title | Current Status and Future Directions of Neuromonitoring With Emerging Technologies in Neonatal Care |
| title_full | Current Status and Future Directions of Neuromonitoring With Emerging Technologies in Neonatal Care |
| title_fullStr | Current Status and Future Directions of Neuromonitoring With Emerging Technologies in Neonatal Care |
| title_full_unstemmed | Current Status and Future Directions of Neuromonitoring With Emerging Technologies in Neonatal Care |
| title_short | Current Status and Future Directions of Neuromonitoring With Emerging Technologies in Neonatal Care |
| title_sort | current status and future directions of neuromonitoring with emerging technologies in neonatal care |
| topic | amplitude-integrated electroencephalography near-infrared spectroscopy multimodal monitoring telemedicine artificial intelligence machine learning |
| url | https://www.frontiersin.org/articles/10.3389/fped.2021.755144/full |
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