Journal
JOURNAL OF PEDIATRICS
Volume 203, Issue -, Pages 137-143Publisher
MOSBY-ELSEVIER
DOI: 10.1016/j.jpeds.2018.07.041
Keywords
-
Categories
Funding
- Clinical and Translational Science Institute at Children's National [UL1TR000075, 1KL2RR031987-01]
- National Institutes of Health Intellectual and Developmental Disabilities Research Consortium [U54 HD090257]
Ask authors/readers for more resources
Objective To investigate whether the early glycemic profile in infants with hypoxic ischemic encephalopathy is associated with distinct patterns of brain injury on magnetic resonance imaging (MRI). Study design We performed a secondary analysis of 178 prospectively enrolled infants who received therapeutic hypothermia for hypoxic ischemic encephalopathy. Glycemic profiles were identified by glucose concentrations within 24 hours after birth: normoglycemia (all glucose concentrations of >47 to <= 150 mg/dL; n = 62): hypoglycemia (>= 1 concentration <= 47 mg/dL; n = 17): hyperglycemia (>= 1 concentration >150 mg/dL: n = 76); and labile glucose (both hypoglycemia and hyperglycemia; n = 23). Patterns of brain injury were identified for 151 infants based on Barkovich scores from the postrewarming brain MRIs at a median age of 9 days. Results A normal brain MRI was reported in 37 of 62 infants (60%) with normal blood glucose values compared with 37 of 116 infants (32%) with an abnormal glucose profile (adjusted for Sarnat stage of encephalopathy and Apgar score at 5 minutes; P = .02). The distribution of MRI patterns of brain injury differed among the glycemic groups (P = .03). The odds of predominant watershed or focal-multifocal injury was higher in infants with hypoglycemia (aOR, 6; 95% CI, 1.5-24.2) and labile glucose (6.6; 95% CI, 1.6-27) compared with infants with normoglycemia. Infants with labile glucose had higher odds (5.6; 95% CI, 1.1-29.3) of predominant basal ganglia or global injury compared with infants with normal blood glucose values. Conclusions The early glycemic profile in infants with hypoxic ischemic encephalopathy is associated with specific patterns of brain injury on MRI. Further investigation is needed to explore its prognostic significance and role as a phenotype biomarker.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available