Abstract

BackgroundMacrosomia 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.MethodsClinical 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.ResultsA total of 1087 GDM and 657 normal singleton pregnancies were analysed. The ISFHAC was positively correlated with foetal weight in GDM pregnancies and normal pregnancies (NPs). The AUCs of the ISFHAC were 0.815 in the GDM group and 0.804 in the NP group, which were higher than those of BMI, SFH, AC and GA. The ISFHAC cut-off points were 41.7 and 37 in the GDM and NP groups, respectively. The sensitivity values for the prediction of macrosomia with high ISFHAC values were 75.9 and 81.3% in the GDM and NP groups, respectively, which were higher than those with BMI. Regarding the validation data, the sensitivity values for prediction with high ISFHAC values were 78.9% (559 GDM pregnancies) and 78.3% (1427 NPs).ConclusionsThe ISFHAC can be regarded as a new predictor of and risk factor for macrosomia in GDM pregnancy and NP.

Highlights

  • Macrosomia is a major adverse pregnancy outcome of gestational diabetes mellitus (GDM)

  • To compare the effect of the predictive value of Body mass index (BMI) for macrosomia, we examined the effect of its prediction of macrosomia in the normal pregnancies (NPs) and Gestational diabetes mellitus (GDM) groups in the analysis cohort

  • Study characteristics According to the data we collected, the ages of the participants ranged from 16 to 54, and women with GDM

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Summary

Introduction

Macrosomia is a major adverse pregnancy outcome of gestational diabetes mellitus (GDM). 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. BMI, obesity and waist circumference are the conventional risk factors for pregnancy outcomes. Several studies have revealed that BMI, obesity, SFH and AC are associated with foetal weight, and these parameters are commonly used to predict foetal size and select a safe delivery method [10,11,12]. The index of symphysis-fundal height and abdominal circumference (ISFHAC) combines SFH and AC, which are used to evaluate foetal birth weight, and this index has great potential for use in predicting macrosomia in normal pregnancies (NPs) and GDM pregnancies

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