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Combined predictors of neurodevelopment in very low birth weight preterm infants.

ABSTRACT: OBJECTIVE:To evaluate the combined prognostic value of neurological examination, head circumference and cranial ultrasound for neurodevelopmental delay (NDD) in very low birth weight (VLBW, <1500?g) preterm infants. METHODS:Prospective follow-up study. Preterm infants with VLWB were assessed for NDD using the Mullen Scales of Early Learning test at 24?months of corrected age. Abnormal neurological examination (?2 deviant items of Hammersmith neurological examination), microcephaly and major ultrasound abnormalities, each performed at term age, were evaluated as predictors of NDD in a multivariable Poisson model. RESULTS:35/132 infants (26.5%) had NDD. In the multivariable analysis, microcephaly (RR, 3.2; 95% CI, 1.6-6.7) and major ultrasound abnormalities (RR, 2.7; 95% CI, 1.3-5.7) were associated to NDD. The combination of the two tests showed the highest positive predictive value (100%; 95% CI, 51%-100%), while the combination of normal neurological examination, no major US findings and normal head size at term showed the highest negative predictive value (89%; 95% CI, 78%-95%). The maximum under receiver operating characteristic curve area was for microcephaly or major ultrasound abnormalities (AUC 0.74 (0.65-0.83)). CONCLUSION:The combination of head circumference, cranial ultrasound and neurological examination at term age is useful to predict NDD in VLBW preterm infants.

SUBMITTER: Medina-Alva P

PROVIDER: S-EPMC6478608 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Combined predictors of neurodevelopment in very low birth weight preterm infants.

Medina-Alva Pilar P Duque Kevin R KR Zea-Vera Alonso A Bellomo Sicilia S Cárcamo César C Guillen-Pinto Daniel D Rivas Maria M Tori Alfredo A Zegarra Jaime J Cam Luis L Castañeda Anne A Villavicencio Aasith A Ochoa Theresa J TJ

Early human development 20190208

<h4>Objective</h4>To evaluate the combined prognostic value of neurological examination, head circumference and cranial ultrasound for neurodevelopmental delay (NDD) in very low birth weight (VLBW, <1500 g) preterm infants.<h4>Methods</h4>Prospective follow-up study. Preterm infants with VLWB were assessed for NDD using the Mullen Scales of Early Learning test at 24 months of corrected age. Abnormal neurological examination (≥2 deviant items of Hammersmith neurological examination), microcephaly ...[more]

PMID: 30743197

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Project description:ObjectivesThe aim of the present study was to examine the changes in bacteria in hospitalized preterm infants during the first month of life.MethodsRectal swabs were collected daily from 12 preterm infants. DNA was extracted from swabs from day of birth and weekly thereafter. Bacterial taxa were identified with next generation sequencing using universal bacterial primers targeted at the 16S ribosomal DNA on a 454 Roche titanium platform. Sequences were clustered into operational taxonomic units, and taxonomy was assigned against the Greengenes databank using Quantitative Insights Into Microbial Ecology version 1.4. Quantitative polymerase chain reaction was used to determine the abundance of Bifidobacterium spp. Functional assessment of the microbiome was performed with Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt).ResultsAverage birth weight and gestational age were 1055 g and 28 weeks, respectively. There were 6 to 35 different bacterial families identified in the day-of-birth samples, unrelated to the mode of delivery. Richness decreased through hospitalization (week 1, 16.9 ± 7.7 vs weeks 3-5, 10.7 ± 3.4, P < 0.001). The Shannon diversity index demonstrated the lowest diversity at birth, an increase at week 2, followed by a rapid decline at weeks 3 to 5, suggesting the development of a more uniform microbiota composition after 2 weeks of stay at a neonatal intensive care unit. Enterobacteriaceae, Staphylococcaceae, and Enterococcaceae constituted the majority of the bacterial families. Bifidobacterium spp were infrequently detected at extremely low levels. PICRUSt analysis revealed the enhancement of peroxisome, PPAR, and adipocytokine signaling; plant-pathogen interaction; and aminobenzoate degradation pathways in week 1 samples.ConclusionsOur results suggest that although preterm infants have individualized microbiota that are detectable at birth, the differences decrease during the neonatal intensive care unit hospitalization with increasing prominence of pathogenic microbiota.

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Combined predictors of neurodevelopment in very low birth weight preterm infants.

Publications

Combined predictors of neurodevelopment in very low birth weight preterm infants.

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