Inflammatory proteins in maternal plasma, cervicovaginal and amniotic fluids as predictors of intra-amniotic infection in preterm premature rupture of membranes

母体血浆、宫颈阴道液和羊水中的炎症蛋白作为早产胎膜早破羊膜腔内感染的预测指标

阅读:1

Abstract

OBJECTIVE: We aimed to assess the correlations among multiple cytokine concentrations in the maternal plasma, cervicovaginal fluid (CVF), and amniotic fluid (AF) compartments in women with preterm premature rupture of membranes (pPROM), and to develop a prediction model based on non-invasive measures, having better sensitivity and specificity for the identification of microbial invasion of amniotic cavity (MIAC). METHOD: This retrospective study included 75 consecutive women with pPROM (20+0-34+0 weeks), who underwent amniocentesis. Both maternal plasma and CVF samples were collected at the time of amniocentesis. Stored AF, plasma and CVF samples were assayed for cytokine levels [interleukin (IL)-6, IL-8, monocyte chemotactic protein-1, macrophage inflammatory protein (MIP)-1α, MIP-1β] using a multiplex immunoassay kit. RESULTS: Levels of inflammatory proteins measured in the CVF were significantly correlated with AF proteins levels, whereas none of the proteins in plasma correlated significantly with any in the AF or CVF. Proteins levels measured in the AF and CVF were significantly higher in women with MIAC compared to those without, whereas only high levels of IL-6 in plasma were significantly associated with MIAC. By using stepwise regression analysis, a non-invasive model (using clinical factors and CVF cytokine levels) for the prediction of MIAC was developed; the area under curve of this non-invasive model was similar to that of the invasive model (using clinical factors and AF cytokines). CONCLUSIONS: The levels of inflammatory proteins in the CVF correlated with those in the AF, whereas those in the plasma showed no correlation. A non-invasive model using clinical factors and CVF cytokine levels predicted the risk of MIAC in women with pPROM.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。