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Developmental trajectories of infants born at less than 30 weeks’ gestation on the Bayley-III Scales
  1. Chloe Durrant1,
  2. Hilary S Wong2,
  3. Tim J Cole3,
  4. Betty Hutchon4,
  5. Lynn Collier4,
  6. Anna Wright4,
  7. Cara George4,
  8. Michelle De Haan1,
  9. Angela Huertas Ceballos4
  1. 1 Cognitive Neuroscience and Neuropsychiatry Programme, UCL Great Ormond Street Institute of Child Health, London, United Kingdom
  2. 2 Department of Paediatrics, University of Cambridge, Cambridge, UK
  3. 3 Population Policy and Practice Programme, UCL Great Ormond Street Institute of Child Health, London, UK
  4. 4 Department of Women’s Health, University College London Hospitals NHS Foundation Trust, London, UK
  1. Correspondence to Dr Angela Huertas Ceballos, Department of Women’s Health, University College London Hospitals NHS Foundation Trust, London NW1 2PG, UK; a.huertas-ceballos{at}nhs.net

Abstract

Objective To describe the cognitive, language and motor developmental trajectories of children born very preterm and to identify perinatal factors that predict the trajectories.

Design Data from a cohort of 1142 infants born at <30 weeks’ gestation who were prospectively assessed on the Bayley Scales of Infant and Toddler Development, third edition (Bayley-III) at 3, 6, 12 and 24 months corrected age, were analysed using the Super Imposition by Translation and Rotation (SITAR) growth curve analysis model.

Main outcome measures Developmental trajectory SITAR models for Bayley-III cognitive, language (receptive and expressive communication subscales) and motor (fine and gross motor subscales) scores.

Results The successfully fitted SITAR models explained 62% of variance in cognitive development, 68% in receptive communication, 53% in fine motor and 68% in the gross motor development. There was too much variation in the expressive communication subscale to fit a SITAR model. The rate of development (gradient of the curve) best explains the variation in trajectories of development in all domains. Lower gestational age, lower birth weight and male sex significantly predicted a slower rate of development.

Conclusion The rate of development, rather than single time point developmental assessment, best predicts the very preterm infant’s developmental trajectory and should be the focus for monitoring and early intervention.

  • preterm
  • neurodevelopment
  • infancy
  • trajectories
  • bayley-III

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Footnotes

  • Twitter @HilarySWong

  • Contributors CD: data analyst and drafted initial manuscript. HSW: reviewed and revised manuscript. TJC: data analyst (Super Imposition by Translation and Rotation expert), reviewed and revised manuscript. BH: designed the follow-up service and assessed the majority of infants together with AHC. LC: coordinated appointments, collected all data and revised the manuscript. AW: data analyst, maintained the database for the first 500 infants and revised the manuscript. CG: data analyst, maintained the database for the remaining infants and revised the manuscript. MDH: reviewed and revised manuscript. AHC: designed the follow-up service, assessed the majority of infants together with BH, conceptualised and supervised study, and reviewed and revised manuscript.

  • Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

  • Competing interests None declared.

  • Patient consent for publication Not required.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data availability statement No data are available.