Sodium and Potassium Concentrations and Somatic Cell Count of Human Milk Produced in the First Six Weeks Postpartum and Their Suitability as Biomarkers of Clinical and Subclinical Mastitis.

Sodium and Potassium Concentrations and Somatic Cell Count of Human Milk Produced in the First Six Weeks Postpartum and Their Suitability as Biomarkers of Clinical and Subclinical Mastitis.
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DOI:
10.3390/nu14224708
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发表时间:
2022-11-08
期刊:
影响因子:
5.9
通讯作者:
McGuire, Michelle K.
McGuire, Michelle K.
中科院分区:
医学2区
文献类型:
--
作者:
Pace, Ryan M.;Pace, Christina D. W.;Fehrenkamp, Bethaney D.;Price, William J.;Lewis, Meghan;Williams, Janet E.;McGuire, Mark A.;McGuire, Michelle K.

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乳汁中钠(Na)浓度和钠钾比(K; Na/K)通常被用作亚临床乳腺炎的生物标志物,但关于它们与临床乳腺炎的关系和预测能力的数据有限。在这里,我们评估了Na、K、Na/K和体细胞计数(SCC)的浓度,SCC是乳制品行业中使用的一种乳腺健康生物标志物,前瞻性地从41名妇女产后前6周的双乳中收集了牛奶。虽然数值随产后时间不同而不同,但乳房之间的平均值没有差异。近四分之一(24%)的参与者经历了临床乳腺炎。体细胞计数>4.76 × 105个细胞/mL与随后一周临床乳腺炎的发生密切相关(优势比为7.81;95% CI为2.15-28.30;p = 0.002),尽管SCC > 4.00 × 105个细胞/mL与Na浓度>12 mmol/L也存在相关性。未进展为临床乳腺炎的女性的亚临床乳腺炎患病率因生物标志物而异,但范围从20%到75%。尽管有这些发现,用于识别临床乳腺炎的生物标志物的阳性预测值(PPV)很低(≤0.34),这表明需要进一步的研究来确定高度特异性、敏感性和预测女性临床乳腺炎的单一生物标志物或复合指标。
The sodium (Na) concentration and the ratio of Na to potassium (K; Na/K) in human milk are used commonly as biomarkers of subclinical mastitis, but limited data exist on their relationship to and ability to predict clinical mastitis. Here, we assessed concentrations of Na, K, Na/K, and somatic cell count (SCC), a mammary health biomarker used in the dairy industry, in milk prospectively collected from both breasts of 41 women over the first 6 weeks postpartum. Although values differed over time postpartum, there were no differences in mean values between breasts. Nearly one-quarter (24%) of participants experienced clinical mastitis. Somatic cell counts >4.76 × 105 cells/mL were most strongly related to development of clinical mastitis in the following week (odds ratio, 7.81; 95% CI, 2.15–28.30; p = 0.002), although relationships were also observed for SCC > 4.00 × 105 cells/mL and Na concentration >12 mmol/L. Estimates of the prevalence of subclinical mastitis in women who never progressed to clinical mastitis differed by biomarker but ranged from 20 to 75%. Despite these findings, positive predictive values (PPV) of the biomarkers for identifying clinical mastitis were low (≤0.34), indicating additional research is needed to identify single biomarkers or composite measures that are highly specific, sensitive, and predictive of clinical mastitis in women.
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