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

AIM: This 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. METHODS: Macronutrient 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. RESULTS: Macronutrient 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. CONCLUSIONS: This 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.

Understanding noncompliance with selective donor deferral criteria for high-risk behaviors in Australian blood donors.

BACKGROUND: Using a predonation screening questionnaire, potential blood donors are screened for medical or behavioral factors associated with an increased risk for transfusion-transmissible infection. After disclosure of these risks, potential donors are deferred from donating. Understanding the degree of failure to disclose full and truthful information (termed noncompliance) is important to determine and minimize residual risk. This study estimates the prevalence of, and likely reasons for, noncompliance among Australian donors with the deferrals for injecting drug use, sex with an injecting drug user, male-to-male sex, sex worker activity or contact, and sex with a partner from a high-HIV-prevalence country. STUDY DESIGN AND METHODS: An anonymous, online survey of a nationally representative sample of Australian blood donors was conducted. Prevalence of noncompliance with deferrable risk categories was estimated. Factors associated with noncompliance were determined using unadjusted and adjusted odds ratios. RESULTS: Of 98,044 invited donors, 30,790 donors completed the survey. The estimated prevalence of overall noncompliance (i.e., to at least one screening question) was 1.65% (95% confidence interval CI, 1.51%-1.8%). Noncompliance with individual deferrals ranged from 0.05% (sex work) to 0.54% (sex with an injecting drug user). The prevalences of the disclosed exclusionary risk behaviors were three to 14 times lower than their estimated prevalence in the general population. CONCLUSION: The prevalence of noncompliance is relatively low but our estimate is likely to be a lower bound. The selected high-risk behaviors were substantially less common in blood donors compared to the general population suggesting that self-deferral is effective. Nevertheless, a focus on further minimization should improve the blood safety.