TY - JOUR A2 - 桑德斯，克劳迪娅AU - 达马索，埃尼奥·路易斯·AU - 罗尔尼克，丹尼尔Lober AU - 卡瓦利，里卡多·德卡瓦略AU - 金塔纳，西尔瓦娜玛丽亚AU - 杜阿尔特，杰拉尔AU - 席尔瓦科斯塔，法布里西奥AU - Marcolin的，亚历山德拉PY - 2019 DA - 2019年9月25日TI - 4395217 VL - - 2019 AB在巴西人口SP母性特征和病史早产预测 - 目标。这项研究的目的是评估一个先前公布的算法在巴西妇女队列自发早产（PTB）的第三个月预测的性能。 方法。这是妇女进行常规产前保健的回顾性队列研究。获得母体特征和医疗史。对数据进行插入胎儿医学基金会（FMF）在线计算器来估算PTB的个人风险。单变量和多变量logistic回归分析来确定对PTB的发生母体特性的影响。A receiver-operating characteristics (ROC) curve was used to determine the detection rates and false-positive rates of the FMF algorithm in predicting PTB <34 weeks of gestation in our population. 结果。总体上，1323名妇女包括在内。Of those, 23 (1.7%) had a spontaneous PTB before 34 weeks of gestation, 87 (6.6%) had a preterm birth between 34 and 37 weeks, and 1,197 (91.7%) had a term delivery. Smoking and a previous history of recurrent PTB between 16 and 30 weeks of gestation without prior term pregnancy were significantly more common among women who delivered before 34 weeks of gestation compared to those who delivered at term were (39.1% vs. 12.0%, p = 0.001 和8.7％对0％， p < 0.001 ， 分别）。吸烟和自发PTB的历史与多元回归分析自发PTB仍然显著相关。Significant prediction of PTB <34 weeks of gestation was provided by the FMF algorithm (area under the ROC curve 0.67, 95% CI 0.56–0.78, p = 0.005 ），但是对于10％和20％的固定的假阳性率的检出率差（分别为26.1％和34.8％）。 结论。在孕早期母体特征和历史可以妊娠34周前显著预测自然分娩的发生。虽然预测算法进行类似于此前公布的数据，检出率是穷人和新的生物标志物的研究，以提高所需要的性能。SN - 2090年至2727年UR - https://doi.org/10.1155/2019/4395217 DO - 10.1155 /四百三十九万五千二百一十七分之二千○十九JF - 杂志妊娠PB - Hindawi出版KW - ER -