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首页> 外文期刊>The journal of maternal-fetal & neonatal medicine >Individual longitudinal patterns in biochemical and hematological markers for the early prediction of pre-eclampsia.
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Individual longitudinal patterns in biochemical and hematological markers for the early prediction of pre-eclampsia.

机译:生化和血液学标志物中的个体纵向模式,用于子痫前期的早期预测。

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OBJECTIVE: To analyze the individual longitudinal patterns of maternal biochemical and hematological tests performed throughout gestation in order to predict at the 20th week of pregnancy the later development of pre-eclampsia. STUDY DESIGN: A longitudinal study was conducted on 187 white normotensive pregnant women all with a history of pre-eclampsia. Blood samples were performed at the 8th week of gestation and then every 4 weeks until the 36th week. The longitudinal patterns of urea, creatinine, uric acid, total proteins, hematocrit, red blood cells, hemoglobin, mean red cell volume, ferritin and iron were derived. By means of regression analysis, for each woman and each significant marker, a 'theoretical physiological pattern', from the 8th to the 20th week, was constructed. By comparing the observed values of each marker for each woman with her 'theoretical physiological pattern', variables indicating the match or mismatch to it were derived. Such variables were used, together with other maternal characteristics, in a logit regression for the probability of developing pre-eclampsia later in pregnancy. RESULTS: In 140 cases, pregnancies followed a physiological course, while 47 women developed pre-eclampsia during the third trimester. In the physiological gestations, the weekly mean values of creatinine, hematocrit, total proteins, uric acid and urea showed patterns that were significantly different from those of the pathological group. The logit model was able to classify correctly 96% of the physiological and 87% of the pathological pregnancies, with a negative predictive value of 96% and a positive predictive value of 89% (area under the receiver operator characteristics (ROC) curve 0.98). The ability of the model to predict later complications at the 20th week was confirmed by a validation procedure. CONCLUSION: The simultaneous use of individual longitudinal patterns of parameters, achieved non-invasively as part of the standard methods of antenatal care that provide a global evaluation of plasma volume expansion, showed a high ability to predict, early in pregnancy, the later development of pre-eclampsia.
机译:目的:分析整个孕期进行的母亲生化和血液学检查的个体纵向模式,以预测在妊娠第20周子痫前期的发展。研究设计:对187名患有先兆子痫病史的白人血压正常孕妇进行了纵向研究。在妊娠第8周进行血样,然后每4周进行一次血样,直到第36周。得出尿素,肌酐,尿酸,总蛋白,血细胞比容,红细胞,血红蛋白,平均红细胞体积,铁蛋白和铁的纵向模式。通过回归分析,为每个妇女和每个重要标志物,构建了从第8周到第20周的“理论生理模式”。通过将每个女性的每个标记物的观察值与她的“理论生理模式”进行比较,得出表明其匹配或不匹配的变量。此类变量与其他母亲特征一起用于logit回归,以预测妊娠后期发生先兆子痫的可能性。结果:140例孕妇在生理过程中怀孕,而47名妇女在妊娠中期发展为先兆子痫。在生理妊娠中,肌酐,血细胞比容,总蛋白,尿酸和尿素的每周平均值显示出与病理组明显不同的模式。 logit模型能够正确分类96%的生理学妊娠和87%的病理学妊娠,阴性预测值为96%,阳性预测值为89%(在接受者操作员特征(ROC)曲线下的面积为0.98) 。通过验证程序确认了该模型预测第20周以后并发症的能力。结论:同时使用个体纵向参数作为无创方法,可作为对产前检查的标准方法的一部分,该方法可全面评估血浆容量的增加,显示出在妊娠早期预测子宫内膜异位症发展的高能力。先兆子痫。

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