Objective: To evaluate a multihospital collaborative designed to increase breast milk feeding in premature infants.
Methods: Eleven NICUs in the California Perinatal Quality of Care Collaborative participated in an Institute for Healthcare Improvement-style collaborative to increase NICU breast milk feeding rates. Multiple interventions were recommended with participating sites implementing a self-selected combination of these interventions. Breast milk feeding rates were compared between baseline (October 2008-September 2009), implementation (October 2009-September 2010), and sustainability periods (October 2010-March 2011). Secondary outcome measures included necrotizing enterocolitis (NEC) rates and lengths of stay. California Perinatal Quality of Care Collaborative hospitals not participating in the project served as a control population.
Results: The breast milk feeding rate in the intervention sites improved from baseline (54.6%) to intervention period (61.7%; P = .005) with sustained improvement over 6 months postintervention (64.0%; P = .003). NEC rates decreased from baseline (7.0%) to intervention period (4.3%; P = .022) to sustainability period (2.4%; P < .0001). Length of stay increased during the intervention but returned to baseline levels in the sustainability period. Control hospitals had higher rates of breast milk feeding at baseline (64.2% control vs 54.6% participants, P < .0001), but over the course of the implementation (65.7% vs 61.7%, P = .049) and sustainability periods (67.7% vs 64.0%, P = .199), participants improved to similar rates as the control group.
Conclusions: Implementation of a breast milk/nutrition change package by an 11-site collaborative resulted in an increase in breast milk feeding and decrease in NEC that was sustained over an 18-month period.
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http://dx.doi.org/10.1542/peds.2012-0547 | DOI Listing |
Ecotoxicol Environ Saf
January 2025
Department of Pharmacy, Jieyang People's Hospital, Jieyang, China.
Breast milk is essential for infant health, but the transfer of xenobiotic chemicals poses significant risks. Ethical challenges in clinical trials necessitate the use of in vitro predictive models to assess chemical exposure risks in breastfeeding infants. This study introduces an explainable machine learning model to predict the risk of chemical transfer through human milk.
View Article and Find Full Text PDFFood Chem
January 2025
Food College, Northeast Agricultural University, No.600 Changjiang St., Xiangfang Dist, 150030 Harbin, China.
We hypothesized that improving the fat globule structure of infant formulae based on the milk fat globule membrane (MFGM) would regulate metabolites and metabolic pathways, making it more similar to the metabolic properties of human milk. Therefore, we prepared infant formulae with different fat globule structures, including two model infant formulae (F1: fat globules surrounded by MFGM; F2: fat globules surrounded by protein) and one commercial infant formulae containing MFGM, and compared their metabolic differences with those of human milk. The number of differential metabolites between each sample and human milk reached 60 (F1), 132 (F2) and 126 (IF1).
View Article and Find Full Text PDFJ Indian Soc Pedod Prev Dent
October 2024
Department of Pedodontics and Preventive Dentistry, Sardar Patel Post Graduate Institute of Dental and Medical Sciences, Lucknow, Uttar Pradesh, India.
Curr Microbiol
January 2025
Razi Vaccine and Serum Research Institute (RVSRI), Agricultural Research, Education and Organization (AREEO), Karaj, Iran.
Brucella spp. is the bacterium responsible for brucellosis, a zoonotic infection that affects humans. This disease poses significant health challenges and contributes to poverty, particularly in developing countries.
View Article and Find Full Text PDFNutrients
December 2024
Cryptobiotix, Technologiepark-Zwijnaarde 82, 9052 Gent, Belgium.
Background: The human gut microbiota develops in concordance with its host over a lifetime, resulting in age-related shifts in community structure and metabolic function. Little is known about whether these changes impact the community's response to microbiome-targeted therapeutics. Providing critical information on this subject, faecal microbiomes of subjects from six age groups, spanning from infancy to 70-year-old adults (n = six per age group) were harvested.
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