Differences in the Microbiological Profile of Raw and Pasteurized Breastmilk from Hospital and Community-Based Donors at the First Human Milk Bank in Vietnam

Author:

Tran Hoang ThiORCID,Nguyen Tuan ThanhORCID,Nguyen Oanh Thi Xuan,Huynh Le Thi,Nguyen Le Thi,Nguyen Thao Thi,Le Huong Thi Thanh,Barnett Debbie,Weaver Gillian,Mathisen RogerORCID

Abstract

Background: Microbiological quality is one of the key safety standards in human milk bank (HMB) operations. We describe the profiles of bacteria in donor human milk (DHM) before and after the pasteurization of samples collected from breastfeeding women in the hospital and from the community in the first HMB in Vietnam. Methods: Data were collected between February 2017 and January 2022 from an online HMB monitoring system. First, DHM samples were cultured, and the number of colony-forming units (CFU) were counted before (n = 708) and after pasteurization (n = 1146). The gram-staining method combined with the Vitek 2 Compact system were used to identify types of organisms at the Da Nang Hospital for Women and Children’s Laboratory. Passing criteria for DHM included pre-pasteurization samples had a total colony count <105 CFU/mL and post-pasteurization was <10 CFU/mL. Results: During five years of operation, Da Nang HMB had 491 donors (48.7% were hospital and the rest community donors) who donated an average amount of 14.2 L over 45 days. Of this DHM volume, 84.9% of donor samples passed the pre- and post-pasteurization microbiological tests. DHM from community donors had a higher pass rate (87.8%) compared to that from hospital donors (79.5%). Before pasteurization, 15.4% of DHM samples had a bacteria count <103 CFU/mL, 63.0% had 103-<105 CFU/mL, and 21.6% had ≥105 CFU/mL. Most of the unpasteurized DHM samples (93.0%) had microorganism growth: with one organism (16.4%), two (33.9%), three or more (43.6%). After pasteurization, 17.9% samples had a bacteria count of 1–9 CFU/mL and 7.2% had ≥10 CFU/mL. DHM samples from community donors had a lower bacterial count and number of organisms than those from hospital donors both before and after pasteurization. The highest microorganisms from unpasteurized DHM samples were Staphylococcus epidermidis (74.2%), Acinetobacter sp. (52.1%), gram-positive bacillus (51.7%), Staphylococcus coagulase-negative (15.8%), and Staphylococcus aureus (10.5%). Common microorganisms from pasteurized DHM were gram-positive bacillus (21.0%), Staphylococcus epidermidis (3.9%), and Acinetobacter sp. (0.9%). Samples from the hospital tended to have a higher contamination with those microorganisms than those from community donors. Conclusions: The majority of DHM samples in Da Nang passed microbiological testing criteria. DHM from community donors had higher pass rates than hospital donors. Corrective actions are needed to improve HMB operations and hospital microbiological quality standards, as well as general improvements in water and sanitation.

Funder

Da Nang Hospital for Women and Children, Bill & Melinda Gates Foundation

Irish Aid

Publisher

MDPI AG

Subject

Food Science,Nutrition and Dietetics

Reference21 articles.

1. The use of human donor milk;Tran;BMJ,2020

2. Mansen, K., Nguyen, T.T., Nguyen, N.Q., Do, C.T., Tran, H.T., Nguyen, N.T., Mathisen, R., Nguyen, V.D., Ngo, Y.T.K., and Israel-Ballard, K. (2020). Strengthening Newborn Nutrition Through Establishment of the First Human Milk Bank in Vietnam. J. Hum. Lact., 890334420948448.

3. Tran, H.T., Nguyen, T.T., Barnett, D., Weaver, G., Nguyen, O.T.X., Van Ngo, Q., Le, H.T.T., Huynh, L.T., Do, C.T., and Mathisen, R. (2021). Trends and Dynamics in the First Four Years of Operation of the First Human Milk Bank in Vietnam. Nutrients, 13.

4. (2022, November 24). Human Milk Bank Global Map. Available online: https://public.tableau.com/app/profile/human.milk.bank.global.map/viz/HumanMilkBankGlobalMap_0/HumanMilkBankGlobalMap.

5. PATH (2019). Strengthening Human Milk Banking: A Resource Toolkit for Establishing and Integrating Human Milk Bank Programs—A Global Implementation Framework, PATH.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3