The contribution of intrapartum hypoxia-ischemia to neonatal encephalopathy in the larger preterm infant remains poorly defined. Such infants could become potential candidates for neuroprotective strategies. The objective of this study was to determine in preterm infants of gestation 31 to 36 weeks, with severe fetal acidemia (i.e., cord arterial pH < 7.00) the incidence of moderate to severe neonatal encephalopathy as well as the perinatal characteristics that may facilitate early identification. The data of 61 preterm infants of mean birth weight 1998 gm and mean gestation of 33.6 weeks were retrieved. Short-term abnormal neurologic outcome measures included evidence of encephalopathy with or without seizures or neuroimaging abnormalities. Eight (13%) of 61 infants developed an abnormal neonatal neurologic outcome. More infants with abnormal vs normal outcome had 1-minute Apgar of 0, i.e., 4/8 vs 3/53, 5-minute Apgar score =5 (7/8 vs 17/53), required chest compressions (5/8 vs 6/53), cord pH (6.75 vs 6.90), and base deficit 20 vs 18 (P < 0.05). By multivariate analysis, only gestation was associated with abnormal outcome (P = 0.0003). We conclude that the larger depressed preterm infant is at increased risk for moderate to severe encephalopathy. Such infants could also be considered potential candidates for neuroprotective strategies.
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http://dx.doi.org/10.1016/j.pediatrneurol.2004.06.016 | DOI Listing |
J Clin Med
December 2024
Department of Endocrinology, Diabetes and Metabolic Diseases, Clinical Hospital Centre Rijeka, 51000 Rijeka, Croatia.
Autoimmune thyroid disease (AITD) is the leading cause of thyroid dysfunction globally, characterized primarily by two distinct clinical manifestations: Hashimoto's thyroiditis (HT) and Graves' disease (GD). The prevalence of AITD is approximately twice as high in women compared to men, with a particularly pronounced risk during the reproductive years. Pregnancy exerts profound effects on thyroid physiology and immune regulation due to hormonal fluctuations and immune adaptations aimed at fostering maternal-fetal tolerance, potentially triggering or exacerbating AITD.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
Institute of Neurology, Department of Medical and Surgical Sciences, University Magna Graecia, 88100 Catanzaro, Italy.
Pathogenic variants are associated with neonatal epilepsies, ranging from self-limited neonatal epilepsy to -developmental and epileptic encephalopathy (DEE). In this study, next-generation sequencing was performed, applying a panel of 142 epilepsy genes on three unrelated individuals and affected family members, showing a wide variability in the epileptic spectrum. The genetic analysis revealed two likely pathogenic missense variants (c.
View Article and Find Full Text PDFCommun Biol
January 2025
Department of Neuroscience, Canadian Centre for Behavioural Neuroscience, University of Lethbridge, University Drive Lethbridge, Lethbridge, AB, Canada.
Prenatal maternal stress (PNMS) determines lifetime mental and physical health. Here, we show in rats that PNMS has consequences for placental function and fetal brain development across four generations (F0-F3). Using a systems biology approach, comprehensive DNA methylation (DNAm), miRNA, and mRNA profiling revealed a moderate impact of PNMS in the F1 generation, but drastic changes in F2 and F3 generations, suggesting compounding effects of PNMS with each successive generation.
View Article and Find Full Text PDFMedicine (Baltimore)
January 2025
Department of Neonatal, Children's Hospital Affiliated to Shandong University/Jinan Children's Hospital, Jinan, Shandong, China.
Rationale: PCDH19-related epilepsy manifested various clinical features, including febrile epilepsy, with or without intellectual disability, and psych-behavioral disorders. However, there are few studies demonstrating abdominal pain as the first symptom.
Patient Concerns: A 3-year-old Chinese girl presented with clustered seizures of fever sensitivity accompanied by abdominal pain.
Crit Care
January 2025
Department of Pediatric, West China Second University Hospital, Sichuan University, Chengdu, China.
Background: Patients supported by extracorporeal membrane oxygenation (ECMO) are at a high risk of brain injury, contributing to significant morbidity and mortality. This study aimed to employ machine learning (ML) techniques to predict brain injury in pediatric patients ECMO and identify key variables for future research.
Methods: Data from pediatric patients undergoing ECMO were collected from the Chinese Society of Extracorporeal Life Support (CSECLS) registry database and local hospitals.
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