Literature DB >> 17053667

Predicting neurological disorders in infants with extremely low birth weight using the movement assessment of infants.

T Salokorpi1, I Rajantie, I Kivikko, R Haajanen, J Rajantie.   

Abstract

PURPOSE: The aim of the study was to investigate the predictive value of the Movement Assessment of Infants (MAI) in early detection of neurological disorders in infants with extremely low birth weight (ELBW; <1000 g).
METHOD: Thirty-three infants were examined and predictions regarding neurologic status were made at the corrected age of four months using the MAI. Follow-up examinations took place at the corrected age of 12 and 24 months by a pediatric neurologist and a physiotherapist. A neuropsychological assessment using the Bayley Scales of Infant Development was completed at the corrected age of two years.
RESULTS: For predicting cerebral palsy (CP), the sensitivity was 64%; specificity 91%, and the positive and negative predictive values were 78% and 84%, respectively. For minor neurological disorders (MND), the value of sensitivity was 44%, specificity 71%, the positive predictive value was 50%, and the negative predictive value was 67%.
CONCLUSION: The MAI assessment administered at the corrected age of four months is highly specific in predicting CP in the infants with ELBW.

Entities:  

Year:  2001        PMID: 17053667

Source DB:  PubMed          Journal:  Pediatr Phys Ther        ISSN: 0898-5669            Impact factor:   3.049


  1 in total

1.  Movement assessment of infants as a predictor of one year neuromotor outcome in very low birth weight infants.

Authors:  Deepa Chanbasappa Metgud; Vishwanath Dundappa Patil; Sangappa Mallappa Dhaded
Journal:  Indian J Pediatr       Date:  2011-06-01       Impact factor: 1.967

  1 in total

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