Combs C Andrew, Garite Thomas J, Lapidus Jodi A, Lapointe Jerome P, Gravett Michael, Rael Julie, Amon Erol, Baxter Jason K, Brady Kim, Clewell William, Eddleman Keith A, Fortunato Stephen, Franco Albert, Haas David M, Heyborne Kent, Hickok Durlin E, How Helen Y, Luthy David, Miller Hugh, Nageotte Michael, Pereira Leonardo, Porreco Richard, Robilio Peter A, Simhan Hyagriv, Sullivan Scott A, Trofatter Kenneth, Westover Thomas
Center for Research, Education, and Quality, Mednax Inc, Sunrise, FL; Obstetrix Medical Group, San Jose, CA.
Center for Research, Education, and Quality, Mednax Inc, Sunrise, FL; University of California, Irvine, School of Medicine, Irvine, CA.
Am J Obstet Gynecol. 2015 Apr;212(4):482.e1-482.e12. doi: 10.1016/j.ajog.2015.02.007. Epub 2015 Feb 14.
Microbial invasion of the amniotic cavity (MIAC) is common in early preterm labor and is associated with maternal and neonatal infectious morbidity. MIAC is usually occult and is reliably detected only with amniocentesis. We sought to develop a noninvasive test to predict MIAC based on protein biomarkers in cervicovaginal fluid (CVF) in a cohort of women with preterm labor (phase 1) and to validate the test in an independent cohort (phase 2).
This was a prospective study of women with preterm labor who had amniocentesis to screen for MIAC. MIAC was defined by positive culture and/or 16S ribosomal DNA results. Nine candidate CVF proteins were analyzed by enzyme-linked immunosorbent assay. Logistic regression was used to identify combinations of up to 3 proteins that could accurately classify the phase 1 cohort (N = 108) into those with or without MIAC. The best models, selected by area under the curve (AUC) of the receiver operating characteristic curve in phase 1, included various combinations of interleukin (IL)-6, chemokine (C-X-C motif) ligand 1 (CXCL1), alpha fetoprotein, and insulin-like growth factor binding protein-1. Model performance was then tested in the phase 2 cohort (N = 306).
MIAC was present in 15% of cases in phase 1 and 9% in phase 2. A 3-marker CVF model using IL-6 plus CXCL1 plus insulin-like growth factor binding protein-1 had AUC 0.87 in phase 1 and 0.78 in phase 2. Two-marker models using IL-6 plus CXCL1 or alpha fetoprotein plus CXCL1 performed similarly in phase 2 (AUC 0.78 and 0.75, respectively), but were not superior to CVF IL-6 alone (AUC 0.80). A cutoff value of CVF IL-6 ≥463 pg/mL (which had 81% sensitivity in phase 1) predicted MIAC in phase 2 with sensitivity 79%, specificity 78%, positive predictive value 38%, and negative predictive value 97%.
High levels of IL-6 in CVF are strongly associated with MIAC. If developed into a bedside test or rapid laboratory assay, cervicovaginal IL-6 might be useful in selecting patients in whom the probability of MIAC is high enough to warrant amniocentesis or transfer to a higher level of care. Such a test might also guide selection of potential subjects for treatment trials.
羊膜腔微生物入侵(MIAC)在早产中很常见,且与母婴感染性疾病相关。MIAC通常隐匿,只有通过羊膜腔穿刺术才能可靠检测到。我们试图开发一种基于宫颈阴道液(CVF)中蛋白质生物标志物的非侵入性检测方法,以预测早产女性队列中的MIAC(1期),并在独立队列中验证该检测方法(2期)。
这是一项对早产且接受羊膜腔穿刺术筛查MIAC的女性进行的前瞻性研究。MIAC通过培养阳性和/或16S核糖体DNA结果来定义。通过酶联免疫吸附测定法分析9种候选CVF蛋白。使用逻辑回归来确定最多3种蛋白质的组合,这些组合能够准确地将1期队列(N = 108)分为有或无MIAC的两组。在1期通过受试者工作特征曲线的曲线下面积(AUC)选择的最佳模型,包括白细胞介素(IL)-6、趋化因子(C-X-C基序)配体1(CXCL1)、甲胎蛋白和胰岛素样生长因子结合蛋白-1的各种组合。然后在2期队列(N = 306)中测试模型性能。
1期15%的病例存在MIAC,2期为9%。使用IL-6加CXCL1加胰岛素样生长因子结合蛋白-1的3标志物CVF模型在1期的AUC为0.87,在2期为0.78。使用IL-6加CXCL1或甲胎蛋白加CXCL1的2标志物模型在2期表现相似(AUC分别为0.78和0.75),但不优于单独的CVF IL-6(AUC为0.80)。CVF IL-6≥463 pg/mL的临界值(在1期灵敏度为81%)在2期预测MIAC的灵敏度为79%,特异性为78%,阳性预测值为38%,阴性预测值为97%。
CVF中高水平的IL-6与MIAC密切相关。如果能开发成床旁检测或快速实验室检测方法,宫颈阴道IL-6可能有助于选择MIAC可能性高到足以进行羊膜腔穿刺术或转至更高护理级别的患者。这样的检测方法也可能指导治疗试验潜在受试者的选择。