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Background: Premature infants have a high risk for dysbiosis of the gut microbiome. Mother's own milk (MOM) has been found to favorably alter gut microbiome composition in infants born at term. Evidence about the influence of feeding type on gut microbial colonization of preterm infants is limited. Objective: The purpose of this study was to explore the effect of feeding types on gut microbial colonization of preterm infants in the neonatal intensive care unit. Methods: Thirty-three stable preterm infants were recruited at birth and followed up for the first 30 days of life. Daily feeding information was used to classify infants into six groups (MOM, human donor milk [HDM], Formula, MOM + HDM, MOM + Formula, and HDM + Formula) during postnatal days 0-10, 11-20, and 21-30. Stool samples were collected daily. DNA extracted from stool was used to sequence the 16S rRNA gene. Exploratory data analysis was conducted with a focus on temporal changes of microbial patterns and diversities among infants from different feeding cohorts. Prediction of gut microbial diversity from feeding type was estimated using linear mixed models. Results: Preterm infants fed MOM (at least 70% of the total diet) had highest abundance of Clostridiales, Lactobacillales, and Bacillales compared to infants in other feeding groups, whereas infants fed primarily HDM or formula had a high abundance of Enterobacteriales compared to infants fed MOM. After controlling for gender, postnatal age, weight, and birth gestational age, the diversity of gut microbiome increased over time and was constantly higher in infants fed MOM relative to infants with other feeding types (p < .01). Discussion: MOM benefits gut microbiome development of preterm infants, including balanced microbial community pattern and increased microbial diversity in early life. [ABSTRACT FROM AUTHOR]

Background: Previous research has not evaluated predictors of donor human milk (DHM) non-consent status in a neonatal intensive care unit (ICU) setting within the United States. The purpose of this study is to identify and describe maternal and infant factors associated with DHM consent status in a Level IV inner-city neonatal ICU., Materials and Methods: Demographics and additional maternal/infant data were stratified by DHM consent and compared with the appropriate parametric/nonparametric hypothesis testing statistic. A predictive multivariable logistic regression model was constructed, adjusted for independent predictors identified in the bivariate analysis (p≤0.2) using a backwards selection process (retention threshold p≤0.1). The adjusted odds ratios generated from the multivariable model identified predictors independently associated with DHM non-consent., Results: Data were analyzed for 113 mother-infant dyads from the first 18 months of a DHM program, with 65 mothers consenting to DHM and 48 not consenting. Race, ethnicity, marital status, education, delivery mode, and presence of a breastfeeding duration goal qualified for inclusion into the multivariable model. Only race and marital status were retained in the final model. In this sample, black race, other race, and being married are all independent predictors for DHM non-consent., Conclusions: Black race, other race, and marital status statistically predicted DHM non-consent in a Level IV inner-city neonatal ICU. These results are relevant to all neonatal ICUs who use DHM and to those who are developing DHM programs.