OBJECTIVE: To evaluate predictive validity and establish cut-off scores on the Bayley-III at age 21 months that best predict Intelligence Quotient (IQ) scores <70 or <80) at 3 years in a high-risk preterm cohort. METHOD: Bayley-III evaluations at 21 months corrected age and intellectual assessments, primarily with the WPPSI-III, at 3 years corrected age were conducted with 520 infants born less than 29 weeks gestational age or less than 1250 g birth weight. Receiver Operator Characteristic (ROC) curves were used to establish Bayley-III Cognitive Composite cut-off scores that maximized Sensitivity and Specificity in predicting low IQ. Similar analyses were performed using the Language Composite, and a research derived mean Cognitive-Language Composite. RESULTS: A regression model for the association between 21-month Bayley-III Cognitive Composite and 3-year IQ scores was significant (P<0.0001, Adjusted R2=0.36). The ROC area under the Curve was 0.90 for the Cognitive Composite predicting IQ<70. The cut-off score that maximized Sensitivity and Specificity for predicting 3-year IQ<70 was a Cognitive Composite of <80. The ROC Area under the Curve was 0.80 for Cognitive Composites predicting IQ<80 and a Cognitive Composite cut-off score of <90 maximized Sensitivity and Specificity. CONCLUSION: In this high-risk preterm cohort, there was a strong association between the Bayley-III Cognitive Composite at 21 months and IQ at 3 years. A Cognitive Composite cut-off score of <80 optimized classification of IQ<70 at 3 years, and a Cognitive Composite cut-off score of <90 optimized classification of IQ<80.
OBJECTIVE: To evaluate predictive validity and establish cut-off scores on the Bayley-III at age 21 months that best predict Intelligence Quotient (IQ) scores <70 or <80) at 3 years in a high-risk preterm cohort. METHOD: Bayley-III evaluations at 21 months corrected age and intellectual assessments, primarily with the WPPSI-III, at 3 years corrected age were conducted with 520 infants born less than 29 weeks gestational age or less than 1250 g birth weight. Receiver Operator Characteristic (ROC) curves were used to establish Bayley-III Cognitive Composite cut-off scores that maximized Sensitivity and Specificity in predicting low IQ. Similar analyses were performed using the Language Composite, and a research derived mean Cognitive-Language Composite. RESULTS: A regression model for the association between 21-month Bayley-III Cognitive Composite and 3-year IQ scores was significant (P<0.0001, Adjusted R2=0.36). The ROC area under the Curve was 0.90 for the Cognitive Composite predicting IQ<70. The cut-off score that maximized Sensitivity and Specificity for predicting 3-year IQ<70 was a Cognitive Composite of <80. The ROC Area under the Curve was 0.80 for Cognitive Composites predicting IQ<80 and a Cognitive Composite cut-off score of <90 maximized Sensitivity and Specificity. CONCLUSION: In this high-risk preterm cohort, there was a strong association between the Bayley-III Cognitive Composite at 21 months and IQ at 3 years. A Cognitive Composite cut-off score of <80 optimized classification of IQ<70 at 3 years, and a Cognitive Composite cut-off score of <90 optimized classification of IQ<80.
Authors: Betty R Vohr; Bonnie E Stephens; Rosemary D Higgins; Carla M Bann; Susan R Hintz; Abhik Das; Jamie E Newman; Myriam Peralta-Carcelen; Kimberly Yolton; Anna M Dusick; Patricia W Evans; Ricki F Goldstein; Richard A Ehrenkranz; Athina Pappas; Ira Adams-Chapman; Deanne E Wilson-Costello; Charles R Bauer; Anna Bodnar; Roy J Heyne; Yvonne E Vaucher; Robert G Dillard; Michael J Acarregui; Elisabeth C McGowan; Gary J Myers; Janell Fuller Journal: J Pediatr Date: 2012-03-14 Impact factor: 4.406
Authors: Bryan V Acton; Wayne S G Biggs; Dianne E Creighton; Karen A H Penner; Heather N Switzer; Julianne H Petrie Thomas; Ari R Joffe; Charlene M T Robertson Journal: Pediatrics Date: 2011-09-26 Impact factor: 7.124
Authors: Elizabeth A Cromwell; Queen Dube; Stephen R Cole; Chawanangwa Chirambo; Anna E Dow; Robert S Heyderman; Annelies Van Rie Journal: Eur J Paediatr Neurol Date: 2013-12-31 Impact factor: 3.140