AIMS: To determine the influence of linear growth and home environment towards cognitive development in the first year of life of Malaysian infants.
STUDY DESIGN: Cross-sectional findings at 12-13 months from a prospective cohort study of infants in Malaysia.
SUBJECTS: One hundred fifty-one infants recruited at 2-5 months were visited at home at 12-13 months (M = 12.95, SD = 0.98).
OUTCOME MEASURES: Maternal and infant measures during pregnancy and at birth were obtained from patient health clinic cards. Weight and length of infants were measured at 12-13 months. Home environment and cognitive development were assessed using HOME inventory and Bayley-III, respectively.
RESULTS: About 22.5% of infants experienced stunting and 14.6% had low home environment quality. The mean cognitive score was 94.54 (SD = 12.00). Stunted infants had 7.59 lower cognitive scores than non-stunted infants, while infants with low home environment quality had 12.09 lower cognitive scores than those with high home environment quality. Cognitive scores increased with better home environment quality in both stunted and non-stunted infants, but stunted infants scored lower than non-stunted infants in all conditions.
CONCLUSION: Stunting, a form of chronic undernutrition, and poor home environment may significantly influence cognitive development of infants. Interventions to prevent undernutrition should start as early as during pregnancy and caregivers should be informed on their roles in providing cognitive stimulation within the home environment for their children.
METHODS: Retrospective study of 182 neonates with HIE and managed with TH. The predominant pattern of HIE brain injury on MRI performed following cooling was scored by neuroradiologists. The electroencephalogram (EEG) background and evoked potential (EP) response, were analyzed. Area under the curve (AUC) of these tools for adverse outcome including death and/or moderate disabilities using the Bayley-III at 36 months were calculated. A stepwise model approach was used to reach the final most efficient predictive model.
RESULTS: Of 182 neonates, 99 were male (54.4 %), with median gestational age of 39 weeks (IQR 38-40) and median weight of 3.3 kg (IQR 2.9-3.7). On admission, 47 (26 %), 104 (57 %) and 31(17 %) neonates presented with mild, moderate and severe encephalopathy respectively. In multivariate analysis of 129 infants who received all prognostic modalities, the predictive value of a model of EEG plus MRI, AUC = 84 %) is equivalent to models of EEG plus MRI with added EP and clinical assessment at discharge (AUC = 84 and 85 % respectively).
CONCLUSION: In the era of cooling for neonatal HIE, the combination of EEG background and MRI during the first few days of life, provide an objective and highly reliable model for prediction of death and long-term disabilities.