Literature DB >> 23623716

General movements and magnetic resonance imaging in the prediction of neuromotor outcome in children born extremely preterm.

Béatrice Skiöld1, Christina Eriksson, Ann-Christin Eliasson, Ulrika Adén, Brigitte Vollmer.   

Abstract

BACKGROUND: Extremely preterm (EPT) birth is a major risk factor for brain injury and neurodevelopmental impairment. Reliable tools for early prediction of outcome are warranted. AIM: To investigate the predictive value of general movements (GMs) at "fidgety age" for neurological outcome at age 30 months in EPT infants, both in comparison and in combination with structural magnetic resonance imaging (MRI) at term equivalent age (TEA). STUDY
DESIGN: Fifty-three infants born <27 weeks of gestation were included prospectively. MRI was performed at TEA and images were evaluated for white and grey matter abnormalities. GMs were assessed at age 3 months corrected ("fidgety age"). OUTCOME MEASURES: Neuromotor outcome was assessed at age 30months corrected. Children were classified as having a normal neurological status, unspecific signs, or cerebral palsy (CP).
RESULTS: Abnormal GMs were a common finding, seen in 32% (17/53) of infants. Of these, six infants (11%) had definitely abnormal GMs. Four infants (8%) had a diagnosis of CP at follow up. Definitely abnormal GMs were significantly associated to CP at 30 months (Fisher's Exact test p=0.03, sensitivity 50%, specificity 92%). Moderate-severe white matter abnormalities on MRI were more strongly associated with CP (Fisher's Exact test p<0.001, sensitivity 100%, specificity 98%) than GMs. Combining GMs with MRI-findings at TEA increased the predictive specificity to 100% (Fisher's Exact test, p=0.005), whereas sensitivity remained unchanged.
CONCLUSIONS: The presence of definitely abnormal GMs was predictive of CP: prediction was significantly enhanced when the GMs assessment was combined with findings from MRI obtained at TEA.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23623716     DOI: 10.1016/j.earlhumdev.2013.03.014

Source DB:  PubMed          Journal:  Early Hum Dev        ISSN: 0378-3782            Impact factor:   2.079


  13 in total

1.  Computer-based video analysis identifies infants with absence of fidgety movements.

Authors:  Ragnhild Støen; Nils Thomas Songstad; Inger Elisabeth Silberg; Toril Fjørtoft; Alexander Refsum Jensenius; Lars Adde
Journal:  Pediatr Res       Date:  2017-07-26       Impact factor: 3.756

2.  Validation of an MRI Brain Injury and Growth Scoring System in Very Preterm Infants Scanned at 29- to 35-Week Postmenstrual Age.

Authors:  J M George; S Fiori; J Fripp; K Pannek; J Bursle; R X Moldrich; A Guzzetta; A Coulthard; R S Ware; S E Rose; P B Colditz; R N Boyd
Journal:  AJNR Am J Neuroradiol       Date:  2017-05-18       Impact factor: 3.825

3.  Optimization of MRI-based scoring scales of brain injury severity in children with unilateral cerebral palsy.

Authors:  Alex M Pagnozzi; Simona Fiori; Roslyn N Boyd; Andrea Guzzetta; James Doecke; Yaniv Gal; Stephen Rose; Nicholas Dowson
Journal:  Pediatr Radiol       Date:  2015-11-10

4.  Associations Between Early Structural Magnetic Resonance Imaging, Hammersmith Infant Neurological Examination, and General Movements Assessment in Infants Born Very Preterm.

Authors:  Karen Harpster; Stephanie Merhar; Venkata Sita Priyanka Illapani; Colleen Peyton; Beth Kline-Fath; Nehal A Parikh
Journal:  J Pediatr       Date:  2021-01-13       Impact factor: 4.406

5.  Neuroimaging and neurodevelopmental outcome in extremely preterm infants.

Authors:  Susan R Hintz; Patrick D Barnes; Dorothy Bulas; Thomas L Slovis; Neil N Finer; Lisa A Wrage; Abhik Das; Jon E Tyson; David K Stevenson; Waldemar A Carlo; Michele C Walsh; Abbot R Laptook; Bradley A Yoder; Krisa P Van Meurs; Roger G Faix; Wade Rich; Nancy S Newman; Helen Cheng; Roy J Heyne; Betty R Vohr; Michael J Acarregui; Yvonne E Vaucher; Athina Pappas; Myriam Peralta-Carcelen; Deanne E Wilson-Costello; Patricia W Evans; Ricki F Goldstein; Gary J Myers; Brenda B Poindexter; Elisabeth C McGowan; Ira Adams-Chapman; Janell Fuller; Rosemary D Higgins
Journal:  Pediatrics       Date:  2014-12-01       Impact factor: 7.124

6.  Early prediction of neurodevelopmental outcomes at 12 years in children born extremely preterm.

Authors:  Maria Örtqvist; Christa Einspieler; Ulrika Ådén
Journal:  Pediatr Res       Date:  2021-05-10       Impact factor: 3.953

7.  PPREMO: a prospective cohort study of preterm infant brain structure and function to predict neurodevelopmental outcome.

Authors:  Joanne M George; Roslyn N Boyd; Paul B Colditz; Stephen E Rose; Kerstin Pannek; Jurgen Fripp; Barbara E Lingwood; Melissa M Lai; Annice H T Kong; Robert S Ware; Alan Coulthard; Christine M Finn; Sasaka E Bandaranayake
Journal:  BMC Pediatr       Date:  2015-09-16       Impact factor: 2.125

8.  Efficacy of baby-CIMT: study protocol for a randomised controlled trial on infants below age 12 months, with clinical signs of unilateral CP.

Authors:  Ann-Christin Eliasson; Lena Sjöstrand; Linda Ek; Lena Krumlinde-Sundholm; Kristina Tedroff
Journal:  BMC Pediatr       Date:  2014-06-05       Impact factor: 2.125

Review 9.  Technology-aided assessment of sensorimotor function in early infancy.

Authors:  Alessandro G Allievi; Tomoki Arichi; Anne L Gordon; Etienne Burdet
Journal:  Front Neurol       Date:  2014-10-01       Impact factor: 4.003

10.  Maturation of Sensori-Motor Functional Responses in the Preterm Brain.

Authors:  Alessandro G Allievi; Tomoki Arichi; Nora Tusor; Jessica Kimpton; Sophie Arulkumaran; Serena J Counsell; A David Edwards; Etienne Burdet
Journal:  Cereb Cortex       Date:  2015-10-21       Impact factor: 5.357

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