Optimal distribution and utilization of donated human breast milk: a novel approach

Simpson, J. H., McKerracher, L., Cooper, A., Barnett, D., Gentles, E., Cairns, L. and Gerasimidis, K. (2016) Optimal distribution and utilization of donated human breast milk: a novel approach. Journal of Human Lactation, 32(4), pp. 730-734. (doi: 10.1177/0890334416653738) (PMID:27364932) (PMCID:PMC5060945)

Abstract

Background: The nutritional content of donated expressed breast milk (DEBM) is variable. Using DEBM to provide for the energy requirements of neonates is challenging. Objective: The authors hypothesized that a system of DEBM energy content categorization and distribution would improve energy intake from DEBM. Methods: We compared infants’ actual cumulative energy intake with projected energy intake, had they been fed using our proposed system. Eighty-five milk samples were ranked by energy content. The bottom, middle, and top tertiles were classified as red, amber, and green energy content categories, respectively. Data on 378 feeding days from 20 babies who received this milk were analyzed. Total daily intake of DEBM was calculated in mL/kg/day and similarly ranked. Infants received red energy content milk, with DEBM intake in the bottom daily volume intake tertile; amber energy content milk, with intake in the middle daily volume intake tertile; and green energy content milk when intake reached the top daily volume intake tertile. Results: Actual median cumulative energy intake from DEBM was 1612 (range, 15-11 182) kcal. Using DEBM with the minimum energy content from the 3 DEBM energy content categories, median projected cumulative intake was 1670 (range 13-11 077) kcal, which was not statistically significant (P = .418). Statistical significance was achieved using DEBM with the median and maximum energy content from each energy content category, giving median projected cumulative intakes of 1859 kcal (P = .0006) and 2280 kcal (P = .0001), respectively. Conclusion: Cumulative energy intake from DEBM can be improved by categorizing and distributing milk according to energy content.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Gerasimidis, Professor Konstantinos and Simpson, Dr Judith
• Authors: Simpson, J. H., McKerracher, L., Cooper, A., Barnett, D., Gentles, E., Cairns, L., and Gerasimidis, K.
• College/School: College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing
• Journal Name: Journal of Human Lactation
• Publisher: SAGE Publications
• ISSN: 0890-3344
• ISSN (Online): 1552-5732
• Published Online: 30 June 2016
• Copyright Holders: Copyright © 2016 The Authors
• First Published: First published in Journal of Human Lactation 32(4): 730-734
• Publisher Policy: Reproduced under a Creative Commons License