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Do currently recommended Bayley-III cutoffs overestimate motor impairment in infants born <27 weeks gestation?


ABSTRACT: OBJECTIVE:To determine whether a Bayley-III motor composite score of 85 may overestimate moderate-severe motor impairment by analyzing Bayley-III motor components and developing cut-point scores for each. STUDY DESIGN:Retrospective study of 1183 children born <27 weeks gestation at NICHD Neonatal Research Network centers and evaluated at 18-22 months corrected age. Gross Motor Function Classification System determined gross motor impairment. Statistical analyses included linear and logistic regression and sensitivity/specificity. RESULTS:Bayley-III motor composite scores were strong indicators of gross/fine motor impairment. A motor composite cut-point of 73 markedly improved the specificity for identifying gross and/or fine motor impairment (94% compared with a specificity of 76% for the proposed new cut-point of 85). A Fine Motor Scaled Score <3 differentiated mild from moderate-severe fine motor impairment. CONCLUSIONS:This study indicates that a Bayley-III motor composite score of 85 may overestimate impairment. Further studies are needed employing term controls and longer follow-up.

SUBMITTER: Duncan AF 

PROVIDER: S-EPMC4531094 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature

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Do currently recommended Bayley-III cutoffs overestimate motor impairment in infants born <27 weeks gestation?

Duncan A F AF   Bann C C   Boatman C C   Hintz S R SR   Vaucher Y E YE   Vohr B R BR   Yolton K K   Heyne R J RJ  

Journal of perinatology : official journal of the California Perinatal Association 20150129 7


<h4>Objective</h4>To determine whether a Bayley-III motor composite score of 85 may overestimate moderate-severe motor impairment by analyzing Bayley-III motor components and developing cut-point scores for each.<h4>Study design</h4>Retrospective study of 1183 children born <27 weeks gestation at NICHD Neonatal Research Network centers and evaluated at 18-22 months corrected age. Gross Motor Function Classification System determined gross motor impairment. Statistical analyses included linear an  ...[more]

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