Preprint Article Version 1 This version is not peer-reviewed

A Web-Based Calculator for Prediction of Severe Neurodevelopmental Impairment in Preterm Infants Using Clinical and Imaging Characteristics

Version 1 : Received: 10 October 2018 / Approved: 11 October 2018 / Online: 11 October 2018 (04:21:24 CEST)

A peer-reviewed article of this Preprint also exists.

Vesoulis, Z.A.; El Ters, N.M.; Herco, M.; Whitehead, H.V.; Mathur, A.M. A Web-Based Calculator for the Prediction of Severe Neurodevelopmental Impairment in Preterm Infants Using Clinical and Imaging Characteristics. Children 2018, 5, 151. Vesoulis, Z.A.; El Ters, N.M.; Herco, M.; Whitehead, H.V.; Mathur, A.M. A Web-Based Calculator for the Prediction of Severe Neurodevelopmental Impairment in Preterm Infants Using Clinical and Imaging Characteristics. Children 2018, 5, 151.

Journal reference: Children 2018, 5, 151
DOI: 10.3390/children5110151

Abstract

Although the most common forms of brain injury in preterm infants have been associated with adverse neurodevelopmental outcomes, existing MRI scoring systems lack specificity, do not incorporate clinical factors, and are technically challenging to perform. The objective of this study was to develop a web-based, clinically-focused prediction system which differentiates severe from normal-moderate neurodevelopmental outcomes at two years.  Infants were retrospectively identified as those who were born ≤30 weeks gestation, had MR imaging at term-equivalent age, and neurodevelopmental testing at 18-24 months.  Each MRI was scored on injury in three domains (intraventricular hemorrhage, white matter injury, and cerebellar hemorrhage) and clinical factors strongly predictive of outcome were investigated.  A binary logistic regression model was then generated from the composite of clinical and imaging components.  A total of 154 infants were included (mean GA = 26.1±1.8 weeks, BW = 889.1±226.2 grams).  The final model (imaging score + ventilator days + delivery mode + antenatal steroids + ROP requiring surgery) had strong discriminatory power for severe disability (AUC=0.850), with a PPV of 76% and NPV of 90%.  Available as a web-based tool, it can be useful for prognostication and targeting early intervention services to infants who may benefit most from such services.

Subject Areas

cerebellar hemorrhage; intraventricular hemorrhage; preterm; MRI; neurodevelopment; outcome prediction; white matter injury

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