Supratentorial Brain Metrics Predict Neurodevelopmental Outcome in Very Preterm Infants without Brain Injury at Age 2 Years.
Brain metrics
Magnetic resonance imaging
Neurodevelopmental outcome
Preterm infants
Journal
Neonatology
ISSN: 1661-7819
Titre abrégé: Neonatology
Pays: Switzerland
ID NLM: 101286577
Informations de publication
Date de publication:
2020
2020
Historique:
received:
07
01
2020
accepted:
25
02
2020
pubmed:
13
5
2020
medline:
1
9
2021
entrez:
13
5
2020
Statut:
ppublish
Résumé
Very preterm infants are at risk for adverse neurodevelopmental outcome. To better identify children without brain injury at risk for developmental sequelae, we assessed predictive values of supratentorial brain metrics in relation to outcome. Very preterm infants underwent magnetic resonance imaging (MRI) at term-equivalent age. Infants with any grade of supra- or infratentorial brain injury according to Kidokoro et al. [Pediatrics 2014;134:e444-53] were excluded. Supratentorial brain metrics (biparietal width, extracerebral space, interhemispheric distance) were measured and categorised using existing cut-off values. The Psychomotor Developmental Index (PDI) and Mental Developmental Index (MDI) were assessed using the Bayley Scales of Infant Development, second and third edition, at 2 years of age. Developmental delay was defined as a score <85. Positive and negative predictive values for developmental delay were calculated. A total of 237 very preterm infants were enrolled. Of all infants, 59 (21.2%) showed developmental delay. Infants with z-scores less than -0.5 for biparietal width had significantly lower PDI (p = 0.039) and MDI (p = 0.042) than infants with normal z-scores. Enlargement of extracerebral spaces was also related to lower PDI (p = 0.047) and MDI (p = 0.036). Negative predictive value was highest when all brain metrics were within the normal range (PDI <85: 96.6%, MDI <85: 90.0%). Combining the biparietal width and the interhemispheric distance showed highest positive predictive values for developmental delay (MDI or PDI <85: 58.3%). Supratentorial brain metrics are predictive for neurodevelopmental outcome in infants with ostensibly normal MRI. A combination of supratentorial brain metrics is most meaningful for identifying infants at risk for long-term sequelae.
Identifiants
pubmed: 32396898
pii: 000506836
doi: 10.1159/000506836
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
287-293Commentaires et corrections
Type : ErratumIn
Informations de copyright
© 2020 S. Karger AG, Basel.