Gail S Ross1, L M Foran2, Baptiste Barbot3, K Mark Sossin4, Jeffrey M Perlman5. 1. Newborn Medicine, Weill-Cornell Medical College, Box 106, 525 East 68 Street, New York, NY 10021, USA. Electronic address: gsross@med.cornell.edu. 2. Newborn Medicine, Weill-Cornell Medical College, Box 106, 525 East 68 Street, New York, NY 10021, USA. Electronic address: lmforan@gmail.com. 3. Psychology Department, Pace University, 41 Park Row, 13th Floor, New York, NY 10038, USA. Electronic address: Bbarbot@pace.edu. 4. Psychology Department, Pace University, 41 Park Row, 13th Floor, New York, NY 10038, USA. Electronic address: ksossin@pace.edu. 5. Newborn Medicine, Weill-Cornell Medical College, Box 106, 525 East 68 Street, New York, NY 10021, USA. Electronic address: jmp2007@med.cornell.edu.
Abstract
BACKGROUND: Very low birthweight (VLBW) premature infant follow-up studies report on single developmental outcome variables but do not assess profiles of development. AIMS: To identify developmental profiles of VLBW premature infants based on cognitive and language development and their association with demographic, perinatal, and behavior variables. STUDY DESIGN: Retrospective chart review. SUBJECTS: 117 children<1250 g BW seen at 18 months post-term on the Bayley Scales-III and Child Behavior Checklist 1 ½-5 (CBCL 1 ½-5), a behavior problem questionnaire. Demographic and perinatal variables were obtained from medical records. OUTCOME MEASURES: Bayley Cognitive, Expressive Language, and Receptive Language scores were used to cluster the subjects into developmental profiles. Demographic, perinatal, and CBCL variables were analyzed as they related to clusters. RESULTS: Children were clustered into 4 groups based on their Bayley Cognitive, Expressive Language, and Receptive Language scores: Consistently High, Consistently Average, Average with Delayed Expressive Language, and Consistently Low. Socioeconomic status, bronchopulmonary dysplasia, Grades III-IV intraventricular hemorrhage, and summary Behavior Problems and Attention Deficit/Hyperactivity (ADHD) Problems scores were significantly related to clusters. CONCLUSION: Cluster analysis defined distinct outcome groups in VLBW premature children and provides an informative means of identifying factors related to developmental outcome. This approach may be useful in predicting later outcome and determining which groups of children will require early intervention.
BACKGROUND: Very low birthweight (VLBW) premature infant follow-up studies report on single developmental outcome variables but do not assess profiles of development. AIMS: To identify developmental profiles of VLBW premature infants based on cognitive and language development and their association with demographic, perinatal, and behavior variables. STUDY DESIGN: Retrospective chart review. SUBJECTS: 117 children<1250 g BW seen at 18 months post-term on the Bayley Scales-III and Child Behavior Checklist 1 ½-5 (CBCL 1 ½-5), a behavior problem questionnaire. Demographic and perinatal variables were obtained from medical records. OUTCOME MEASURES: Bayley Cognitive, Expressive Language, and Receptive Language scores were used to cluster the subjects into developmental profiles. Demographic, perinatal, and CBCL variables were analyzed as they related to clusters. RESULTS:Children were clustered into 4 groups based on their Bayley Cognitive, Expressive Language, and Receptive Language scores: Consistently High, Consistently Average, Average with Delayed Expressive Language, and Consistently Low. Socioeconomic status, bronchopulmonary dysplasia, Grades III-IV intraventricular hemorrhage, and summary Behavior Problems and Attention Deficit/Hyperactivity (ADHD) Problems scores were significantly related to clusters. CONCLUSION: Cluster analysis defined distinct outcome groups in VLBW premature children and provides an informative means of identifying factors related to developmental outcome. This approach may be useful in predicting later outcome and determining which groups of children will require early intervention.
Authors: Joanna Majewska; Katarzyna Zajkiewicz; Kamila Wacław-Abdul; Joanna Baran; Daniel Szymczyk Journal: Biomed Res Int Date: 2018-05-20 Impact factor: 3.411