Morbidity and mortality in prematurely born infants have significantly improved due to advancement in perinatal care, development of NeuroNICU collaborative multidisciplinary approaches, and evidence-based management protocols that have resulted from a better understanding of perinatal risk factors and neuroprotective treatments. In premature infants with intraventricular hemorrhage (IVH), the detrimental secondary effect of posthemorrhagic ventricular dilation (PHVD) on the neurodevelopmental outcome can be mitigated by surgical intervention, though management varies considerably across institutions. Any benefit derived from the use of neuromonitoring to optimize surgical timing and technique stands to improve neurodevelopmental outcome. In this review, we summarize (1) the approaches to surgical management of PHVD in preterm infants and outcome data; (2) neuromonitoring modalities and the effect of neurosurgical intervention on this data; (3) our resultant protocol for the monitoring and management of PHVD. In particular, our protocol incorporates cerebral near-infrared spectroscopy (NIRS) and transcranial doppler ultrasound (TCD) to better understand cerebral physiology and to enable the hypothesis-driven study of the management of PHVD. IMPACT: Review of the published literature concerning the use of near-infrared spectroscopy (NIRS) and a cerebral Doppler ultrasound to study the effect of cerebrospinal fluid drainage on infants with posthemorrhagic ventricular dilation. Presentation of our institution's evidence-based protocol for the use of NIRS and cerebral Doppler ultrasound to study the optimal neurosurgical treatment of posthemorrhagic ventricular dilation, an as yet inadequately studied area.
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http://dx.doi.org/10.1038/s41390-021-01406-9 | DOI Listing |
Adv Sci (Weinh)
December 2024
Department of Neonatology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, China.
Intraventricular hemorrhage in preterm neonates has become a major global health problem and is associated with a high risk of post-hemorrhagic hydrocephalus (PHH). Identifying diagnostic markers and therapeutic targets is a focal challenge in the PHH prevention and control. Here, this study applies multi-omics analyses to characterize the biochemical, proteomic, and metabolomic profiles of the cerebrospinal fluid (CSF) in clinical human cohorts to investigate disease development and recovery processes occurring due to PHH.
View Article and Find Full Text PDFBrain Spine
November 2024
Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany.
Introduction: Neuroendoscopy has become a well-established procedure for treating various intracranial conditions.
Research Question: We evaluated the advantages of that technique, with focus on adverse events.
Material And Methods: Retrospective analysis included all patients who underwent neuroendoscopic procedures between January 2017 and December 2023.
Childs Nerv Syst
November 2024
Woman and Children's Hospital, Qingdao University, Qingdao, 266034, China.
Objective: To evaluate the clinical efficacy of external ventricular drainage (EVD) in the treatment of neonatal intraventricular hemorrhage (IVH).
Methods: A retrospective analysis was conducted on the clinical data of neonates with IVH admitted to the Department of Neurosurgery at Qingdao Women and Children's Hospital from January 2018 to February 2024. All patients received a definitive diagnosis followed by EVD treatment.
Int J Mol Sci
September 2024
Comprehensive Center for Pediatrics, Department of Pediatrics and Adolescent Medicine, Division of Neonatology, Intensive Care and Neuropediatrics, Medical University of Vienna, 1090 Vienna, Austria.
Intraventricular hemorrhage (IVH) in preterm neonates presents a high risk for developing posthemorrhagic ventricular dilatation (PHVD), a severe complication that can impact survival and long-term outcomes. Early detection of PHVD before clinical onset is crucial for optimizing therapeutic interventions and providing accurate parental counseling. This study explores the potential of explainable machine learning models based on targeted liquid biopsy proteomics data to predict outcomes in preterm neonates with IVH.
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