Accelerometer measures in extremely preterm and or extremely low birth weight infants and association with abnormal

L A Jardine1, R M Mausling1, D Caldararo2

  • 1Neonatal Critical Care Unit, Mater Mothers Hospital, Raymond Terrace, South Brisbane, Queensland, Australia; Clinical School of Medicine, The University of Queensland, St Lucia, Queensland, Australia.

Early Human Development
|October 14, 2022
PubMed

Insights

Quantitative accelerometers show promise for assessing general movements (GMs) in preterm infants, potentially improving upon subjective clinical evaluations. These devices may serve as a reliable screening tool for detecting abnormal GMs in this vulnerable population.

Area of Science:

  • Neonatal neurology
  • Developmental pediatrics
  • Biomedical engineering

Background:

  • General movements (GMs) assessment in preterm infants is qualitative and subjective.
  • Accelerometers offer quantitative data to address limitations in GMs assessment.

Purpose of the Study:

  • To correlate quantitative accelerometer measures with qualitative GMs assessments in preterm infants.
  • To evaluate accelerometers as a potential screening tool for abnormal GMs.

Main Methods:

  • A prospective observational study involving preterm infants at 28 and 32 weeks postmenstrual age (PMA).
  • Tri-axial accelerometers were attached to infant extremities, with simultaneous video recording for GMs assessment.
  • Forty-six quantitative motor parameters were derived from accelerometer data and compared with GMs evaluations.

Main Results:

  • Abnormal GMs were observed in 55.8% of infants at 28 weeks PMA and 45.6% at 32 weeks PMA.
  • Inter-rater reliability for GMs assessment was poor.
  • Significant differences in quantitative motor parameters were found between infants with normal and abnormal GMs, particularly at 32 weeks PMA (19/46 parameters).

Conclusions:

  • Quantitative movement measures from accelerometers correlate with GMs assessments in preterm infants.
  • Accelerometers may offer a reliable screening tool for abnormal GMs, overcoming inter-rater reliability issues.
Abstract

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