Huang Qian, Zheng Xue-Mei, Zhang Mao-Lin, Ning Ping, Wu Meng-Jun
School of Medicine, University of Electronic Science and Technology of China, Chengdu 610000, Sichuan Province, China.
Department of Anesthesiology, Chongqing Medical University, Chongqing 400016, Sichuan Province, China.
World J Clin Cases. 2022 Nov 6;10(31):11252-11259. doi: 10.12998/wjcc.v10.i31.11252.
Although lactation mastitis (LM) has been extensively researched, the incidence rate of LM remains a salient clinical problem. To reduce this incidence rate and achieve a better prognosis, early and specific quantitative indicators are particularly important. It has been found that milk electrolyte concentrations (chloride, potassium, and sodium) and electrical conductivity (EC) significantly change in the early stages of LM in an animal model. Several studies have evaluated EC for the detection of subclinical mastitis in cows. EC, chloride, and sodium content of milk were more accurate for predicting infection status than were other variables. In the early stages of LM, lactic sodium, chloride, and EC increase, but potassium decreases. However, these indicators have not been reported in the diagnosis of LM in humans. This review summarizes the pathogenesis and the mechanism of LM in terms of milk electrolyte concentration and EC, and aim to provide new ideas for the detection of sub-clinical mastitis in humans.
尽管哺乳期乳腺炎(LM)已得到广泛研究,但LM的发病率仍然是一个突出的临床问题。为了降低这一发病率并获得更好的预后,早期和特定的定量指标尤为重要。研究发现,在动物模型中,LM早期阶段的乳汁电解质浓度(氯离子、钾离子和钠离子)以及电导率(EC)会发生显著变化。多项研究评估了EC用于检测奶牛亚临床乳腺炎的情况。乳汁的EC、氯离子和钠离子含量在预测感染状态方面比其他变量更准确。在LM早期,乳酸钠、氯离子和EC升高,但钾离子降低。然而,这些指标尚未见在人类LM诊断中的报道。本综述从乳汁电解质浓度和EC方面总结了LM的发病机制,旨在为人类亚临床乳腺炎的检测提供新思路。