Macronutrient content of pasteurised donor human milk: Variability between batches from single‐donor pools at an Australian milk bank

Author:

Walter Leonie1ORCID,Clifford Vanessa2345ORCID,Sulfaro Christine1,Brown Richard1,Ribeiro Daniel5,Welvaert Marijke2ORCID,Shuttleworth Glen2,Klein Laura D1ORCID

Affiliation:

1. Strategy and Growth Australian Red Cross Lifeblood Alexandria New South Wales Australia

2. Pathology and Clinical Governance Australian Red Cross Lifeblood Melbourne Victoria Australia

3. Laboratory Services Royal Children's Hospital Melbourne Victoria Australia

4. Infection and Immunity Murdoch Children's Research Institute Melbourne Victoria Australia

5. Department of Paediatrics University of Melbourne Melbourne Victoria Australia

Abstract

AimThis study aimed to characterise the between‐batch variability of pasteurised donor human milk (PDHM) produced from single‐donor pools at Australian Red Cross Lifeblood's milk bank and identify key donor characteristics that predict macronutrient content.MethodsMacronutrient content from 200 batches of PDHM was measured using a mid‐infrared human milk analyser (Miris, Uppsala, Sweden). Linear mixed models were used to study the impact of stage of lactation and gestational age on macronutrient content. Coefficients of determination (R2) were calculated to estimate the impact of the individual donor on overall variability.ResultsMacronutrient content of PDHM varied considerably, with between‐batch variations of 2.8 and 6.4‐fold for protein and fat content, respectively. Mean crude protein content was 1.16 g/100 mL, ranging from 0.7 to 1.96 g/100 mL. Mean fat content was 3.85 g/100 mL, ranging from 1.46 to 9.39 g/100 mL. Stage of lactation was identified as a predictor for protein content and gestational age at birth for fat content. Individual donor effect explained 55 and 35% of the variance for fat and protein content, respectively.ConclusionsThis study highlights the variation in macronutrient content in PDHM at an Australian milk bank. Variability could be reduced through the implementation of targeted multiple‐donor pooling using the key donor characteristics identified in this study along with the measurement of macronutrient content of individual donors at the time of first donation. However, the clinical benefit of a reduction in between‐batch variation, achieved through multiple‐donor pooling, would need to be assessed to justify additional efforts associated with PDHM processing changes.

Funder

Baxter International Foundation

Publisher

Wiley

Subject

Pediatrics, Perinatology and Child Health

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