Risk Assessment of Cognitive Impairment at 2 Years of Age in Infants Born Extremely Preterm Using the INTERGROWTH-21st Growth Standards - 08/11/24
, Waldemar A. Carlo, MD 1, Carla M. Bann, PhD 2, Edward F. Bell, MD 3, Tarah T. Colaizy, MD 3, Noelle Younge, MD 4, Myriam Peralta, MD 1, Namasivayam Ambalavanan, MD 1, Brenda B. Poindexter, MD 5on behalf of the
Eunice Kennedy Shriver NICHD Neonatal Research Network
Abstract |
Objective |
To assess the risk of cognitive impairment among infants born extremely preterm using the INTERGROWTH-21st standards.
Study design |
We analyzed anthropometric data at birth and 36 weeks postmenstrual age (PMA) from infants born extremely preterm (24-26 weeks of gestation) admitted to US neonatal units between 2008 and 2018. To determine INTERGROWTH-21st z-score values that indicate an increased risk of cognitive impairment at 2 years of age (Bayley cognitive score <85), we employed classification and regression trees and redefined growth failure (weight, length, and head circumference z-scores at 36 weeks PMA) and growth faltering (weight, length, and head circumference z-score declines from birth to 36 weeks PMA).
Results |
Among 5393 infants with a mean gestational age of 25 weeks, growth failure defined as a weight z-score of −1.8 or below at 36 weeks PMA and growth faltering defined as a weight z-score decline of 1.1 or greater from birth to 36 weeks PMA indicated a higher likelihood of cognitive impairment. A length z-score less than −1 at 36 weeks PMA had the highest sensitivity to detect cognitive impairment at 2 years (80%). A head circumference z-score decline of 2.43 or greater from birth to 36 weeks PMA had the highest specificity (86%). Standard definitions had fair to low sensitivity and specificity for risk detection of cognitive impairment.
Conclusions |
Length and head circumference z-scores had the highest sensitivity and specificity for risk detection of cognitive impairment. Monitoring these growth parameters could guide earlier individualized interventions with potential to reduce cognitive impairment.
Clinical trial registration |
ClinicalTrials.gov ID Generic Database: NCT00063063.
Le texte complet de cet article est disponible en PDF.Keywords : prediction model, premature newborns, neurodevelopmental impairment, anthropometric measurements
Abbreviations : BSID-III, CART, CCS, NDI, PMA
Plan
| Participating NRN sites collected data and transmitted it to RTI International, the data coordinating center (DCC) for the network, which stored, managed and analyzed the data for this study. On behalf of the NRN, RTI International had full access to all of the data in the study, and with the NRN Center Principal Investigators, takes responsibility for the integrity of the data and accuracy of the data analysis. |
Vol 275
Article 114239- décembre 2024 Retour au numéro
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