Developing a new algorithm for first and second trimester preeclampsia screening in twin pregnancies

• 主要な著者: Ron Maymon (著者), Alla Trahtenherts (著者), Ran Svirsky (著者), Yaakov Melcer (著者), Liora Madar-Shapiro (著者), Esther Klog (著者), Hamutal Meiri (著者), Howard Cuckle (著者)
• フォーマット: 図書
• 出版事項: Taylor & Francis Group, 2017-01-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

Objectives: Construct a new preeclampsia predicting algorithm in twins. Methods: Twins sampled at 10-13 and 16-20 gestational weeks and their marker values were log transformed into multiples of the gestation-specific medians (MoMs) for singletons and entered into a new logistic regression model wit...