Early-infant diagnostic predictors of the neuro-behavioral development after neonatal care

• Published in: Behavioural brain research 2015-01, Vol.276, p.143-150
• Main Authors: Koshiba, Mamiko, Kakei, Hiroko, Honda, Masakazu, Karino, Genta, Niitsu, Mamoru, Miyaji, Toru, Kishino, Hirohisa, Nakamura, Shun, Kunikata, Tetsuya, Yamanouchi, Hideo
• Format: Article
• Language: English
• Subjects: Brain - pathology; Developmental Disabilities - blood; Developmental Disabilities - diagnosis; Developmental Disabilities - pathology; Early Diagnosis; Humans; Hydrogen-Ion Concentration; Infant; Infant, Newborn; Intensive Care Units, Neonatal; Magnetic Resonance Imaging; Multivariate Analysis; Nervous System Diseases - blood; Nervous System Diseases - diagnosis; Nervous System Diseases - pathology; Neuroimaging; Retrospective Studies; Umbilical Arteries - chemistry
• ISSN: 0166-4328; 1872-7549
• DOI: 10.1016/j.bbr.2014.05.054

Multidimensional diagnosis plays a central role in infant developmental care, which leads to the prediction of future disabilities. Information consolidated from objective and subjective, early and late, central and peripheral data may reveal neuro-pathological mechanisms and realize earlier and more precise preventive intervention. In the current study, we retrospectively searched correlating factors to the following neurological and behavioral development of 'Head Control' and 'Roll Over' using multivariate correlation analysis of differ-ent diagnostic domains over age, subject/object information of the patients who were previously admitted in our neonatal intensive care unit (NICU) and could be developmentally followed up in our outpatient clinic. Based on the hematologic and biochemical data, MRI brain anatomy during NICU hospitalization, we characterized all the acquired data distribution from 31 infants with either 'appeared neurologically normal (ANN, n = 21)’ or 'appeared neurologically abnormal (ANA, n = 10)’ pro tempore, with a physician's clinical judgment before discharge. Besides single factor comparisons between ANN and ANA, we examined their development difference by using the multidimensional information processing, principal component analysis (PCA). The diagnostic predictors of neuro-behavioral development were selected by regression analysis with variable selection. It resulted that hematological and brain anatomical factors seemed correlated to both ‘Head Control’ and ‘Roll Over’. This report suggested certain possibility of the cross-domain translational approach between subjective and objective developmental information through multivariate analyses, with candidate markers preliminarily to be evaluated in further studies.