scholarly journals The relationship of neurodevelopmental impairment to concurrent early childhood outcomes of extremely preterm infants

Author(s):  
Matthew A. Rysavy ◽  
◽  
Tarah T. Colaizy ◽  
Carla M. Bann ◽  
Sara B. DeMauro ◽  
...  
2014 ◽  
Vol 173 (8) ◽  
pp. 1017-1023 ◽  
Author(s):  
Alexis Chenouard ◽  
Géraldine Gascoin ◽  
Christèle Gras-Le Guen ◽  
Yannis Montcho ◽  
Jean-Christophe Rozé ◽  
...  

2016 ◽  
Vol 30 (1) ◽  
pp. 96-102 ◽  
Author(s):  
Kate Mahoney ◽  
Barbara Bajuk ◽  
Julee Oei ◽  
Kei Lui ◽  
Mohamed E. Abdel-Latif ◽  
...  

2017 ◽  
Vol 34 (13) ◽  
pp. 1271-1278 ◽  
Author(s):  
Yanyu Lyu ◽  
Xiang Ye ◽  
Tetsuya Isayama ◽  
Ruben Alvaro ◽  
Chuks Nwaesei ◽  
...  

Objective To examine the relationship between admission systolic blood pressure (SBP) and adverse neonatal outcomes. Specifically, we aimed to identify the optimal SBP that is associated with the lowest rates of adverse outcomes in extremely preterm infants of ≤ 26 weeks' gestation. Methods In this retrospective study, inborn neonates born at ≤ 26 weeks' gestational age and admitted to tertiary neonatal units participating in the Canadian Neonatal Network between 2003 and 2009 were included. The primary outcome was early mortality (≤ 7 days). Secondary outcomes included severe brain injury, late mortality, and a composite outcome defined as early mortality or severe brain injury. Nonlinear multivariable logistic regression models examined the relationship between admission SBP and outcomes. Results Admission SBP demonstrated a U-shaped relationship with early mortality, severe brain injury, and composite outcome after adjustment for confounders (p < 0.01). The lowest risks of early mortality, severe brain injury, and composite outcome occurred at admission SBPs of 51, 55, and 54 mm Hg, respectively. Conclusion In extremely preterm infants of ≤ 26 weeks' gestational age, the relationship between admission SBP, and early mortality and severe brain injury was “U-shaped.” The optimal admission SBP associated with lowest rates of adverse outcome was between 51 and 55 mm Hg.


2020 ◽  
Vol 222 (1) ◽  
pp. S715-S716 ◽  
Author(s):  
Kartik K. Venkatesh ◽  
Alan Leviton ◽  
Jonathan Hecht ◽  
Robert Joseph ◽  
Laurie Douglass ◽  
...  

2021 ◽  
Author(s):  
O. De Wel ◽  
S. Van Huffel ◽  
M. Lavanga ◽  
K. Jansen ◽  
A. Dereymaeker ◽  
...  

Abstract Background Recent studies explored the relationship between early brain function and brain morphology, based on the hypothesis that increased brain activity can positively affect structural brain development and that excitatory neuronal activity stimulates myelination. Objective To investigate the relationship between maturational features from early and serial aEEGs after premature birth and MRI metrics characterizing structural brain development and injury, measured around 30weeks postmenstrual age (PMA) and at term. Moreover, we aimed to verify whether previously developed maturational EEG features are related with PMA. Design/Methods One hundred six extremely preterm infants received bedside aEEGs during the first 72h and weekly until week 5. 3T-MRIs were performed at 30weeks PMA and at term. Specific features were extracted to assess EEG maturation: (1) the spectral content, (2) the continuity [percentage of spontaneous activity transients (SAT%) and the interburst interval (IBI)], and (3) the complexity. Automatic MRI segmentation to assess volumes and MRI score was performed. The relationship between the maturational EEG features and MRI measures was investigated. Results Both SAT% and EEG complexity were correlated with PMA. IBI was inversely associated with PMA. Complexity features had a positive correlation with the cerebellar size at 30weeks, while event-based measures were related to the cerebellar size at term. Cerebellar width, cortical grey matter, and total brain volume at term were inversely correlated with the relative power in the higher frequency bands. Conclusions The continuity and complexity of the EEG steadily increase with increasing postnatal age. Increasing complexity and event-based features are associated with cerebellar size, a structure with enormous development during preterm life. Brain activity is important for later structural brain development.


Sign in / Sign up

Export Citation Format

Share Document