Validation of a symphysis-fundal height chart developed for pregnancy complicated by diabetes and hyperglycemia: an observational study

et al. 2020

Preprint

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 fetal 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 (the index of SFH algorithm multiplied by the square of AC) and fetal weight was performed 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 analyzed. ISFHAC was positively correlated with fetal 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. The ISFHAC cutoff points were 41.7 and 37 in the GDM and NP groups, respectively. The sensitivity values for the prediction of macrosomia with high ISFHAC were 75.9% and 81.3% in the GDM and NP groups, respectively, which were higher than that for the prediction of BMI. Regarding the validation data, the sensitivity values for prediction with a high ISFHAC were 78.9% (559 GDM pregnancies) and 78.3% (1427 NPs). Conclusions The ISFHAC can be regarded as a new predictor and risk factor for macrosomia in GDM pregnancy and NP.

Section: Discussionsupporting

confidence: 59%

Section: Introductionmentioning

confidence: 99%

ISFHAC as a novel predictor of macrosomia in gestational diabetes mellitus and normal pregnancy

et al. 2020

Preprint

“…They have clinical significance for predicting infant size and as a reflection of the pregnant woman's nutritional status. These findings support the internal validation of the SFH chart, which may be implemented in the prenatal care of patients with diabetes and pregnancy [12]. However, one reference shows that there is no evidence that SFH is useful to identify macrosomia [13].…”

Section: Discussionmentioning

confidence: 58%

The combination of symphysis-fundal height and abdominal circumference as a novel predictor of macrosomia in GDM and normal pregnancy

BMC Pregnancy Childbirth

et al. 2020

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 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 cutoff 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). Conclusions: The ISFHAC can be regarded as a new predictor of and risk factor for macrosomia in GDM pregnancy and NP.

“…They have clinical significance for predicting infant size and as a reflection of the pregnant woman's nutritional status for reference. These findings support the internal validation of the SFH chart, which may be implemented in the prenatal care of patients with diabetes and pregnancy [12]. But the reference shows that there is no evidence that SFH is useful to identify macrosomia [13].…”

Section: Discussionmentioning

confidence: 62%

Section: Introductionmentioning

confidence: 99%

The combination of symphysis-fundal height and abdominal circumference as a novel predictor of macrosomia in GDM and normal pregnancy

et al. 2020

Preprint

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 fetal 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 (the index of SFH algorithm multiplied by the square of AC) and fetal weight was performed 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 analyzed. ISFHAC was positively correlated with fetal 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 BMI, SFH, AC and GA. The ISFHAC cutoff points were 41.7 and 37 in the GDM and NP groups, respectively. The sensitivity values for the prediction of macrosomia with high ISFHAC were 75.9% and 81.3% in the GDM and NP groups, respectively, which were higher than that for the prediction of BMI. Regarding the validation data, the sensitivity values for prediction with a high ISFHAC were 78.9% (559 GDM pregnancies) and 78.3% (1427 NPs).Conclusions The ISFHAC can be regarded as a new predictor and risk factor for macrosomia in GDM pregnancy and NP.