PREDICTION OF PRETERM DELIVERY USING CERVICAL SONOGRAPHY, FETAL FIBRONECTIN, IL 6

本研究的主要目的是探讨宫颈超声评估宫颈长度、宫缩监测、阴道胎儿纤维连接蛋白、IL-6、基质金属蛋白酶(MMP1、MMP3、MMP9)、血浆雌二醇、促肾上腺皮质激素释放激素联合预测早产的敏感性、特异性、假阳性和假阴性率。第二个目标是开发一个人口风险评分系统来预测早产风险，如果成功的话，确定患者的社会经济地位和历史因素是否改变了生化/身体因素在预测早产方面的预测值。血液将储存在产科患者身上，并将用于这项研究，SPID#734和#735。该实验室将用于血液分离和层流发动机罩使用。此外，核心实验室人员在教授研究人员如何处理和存储患者样本方面发挥了重要作用。这项研究的数据库由Info Core建立和维护。GCRC统计学家帮助设计了这项研究。

The primary aims of this study are to ascertain the sensitivity, specificity,false positive and false negative rates of the combination of assessment of cervical length by cervical sonography, uterine contraction monitoring, vaginal fetal fibronectin, IL-6, matrix metalloproteinases (MMP-1, MMP-3,MMP-9) , plasma estradiol and corticotropin-releasing hormone in predicting preterm labor. A secondary aim is to develop a demographic risk scoring system to predict preterm delivery risk and, if successful, to determine whether a patient's socioeconomic status and historical factors modify the predictive values of biochemical/physical factors in predicting preterm delivery. Blood will be banked on obstetrical patients and will be utilized for this study, SPID # 734 and #735. The lab will be used for blood separation and laminar flow hood use. Also, the core laboratory personnel are instrumental in teaching the investigators how to process and store patient samples. A data base for this study was set and maintained by the Info Core. The GCRC statistician helped in the design of the study.