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ABSTRACT: Background
Macrosomia is a major adverse pregnancy outcome of gestational diabetes mellitus (GDM). Although BMI, symphysis-fundal height (SFH) and abdominal circumference (AC) are associated with foetal weight, there are some limitations to their use, especially for the prediction of macrosomia. This study aimed to identify a novel predictive methodology to improve the prediction of high-risk macrosomia.Methods
Clinical information was collected from 3730 patients. The association between the ISFHAC (index of the SFH algorithm multiplied by the square of AC) and foetal weight was determined and validated. A new index, the ISFHAC, was evaluated by area under the curve (AUC) analysis.Results
A total of 1087 GDM and 657 normal singleton pregnancies were analysed. The I
SUBMITTER: Chen ZG
PROVIDER: S-EPMC7425134 | biostudies-literature | 2020 Aug
REPOSITORIES: biostudies-literature