Performance of local reference curve on the diagnosis of large for gestational age fetuses in diabetic pregnant women.

OBJECTIVE: To evaluate the performance of a local fetal weight curve based on the prediction for large gestational age (LGA) newborns in diabetic pregnant women and to compare it to reference curves established for other populations. METHOD: A reference model for estimated fetal weight was created from a local sample of 2211 singleton low-risk pregnancies. The estimated fetal weight from 194 women with gestational diabetes mellitus was then plotted on this curve, and the results were compared to those obtained by Intergrowth 21st and Hadlock curves. RESULTS: The sensitivity of the proposed model to predict LGA fetuses was 55.6%, the specificity was 82.1%, and the accuracy was 74.7%. The sensitivity, specificity, and accuracy for the Intergrowth 21st curve were 46.3%, 87.9%, and 76.3%, respectively, and no statistically significant difference was observed compared to the proposed model. Conversely, significant differences were observed for the Hadlock curve, which presented a lower sensitivity (24.1%), higher specificity (97.1%), and similar accuracy (76.8%). CONCLUSION: The sensitivity of the proposed model was higher compared to the Hadlock curve for the screening of LGA newborns in diabetic pregnant women. However, no significant differences were observed in comparison to the Intergrowth 21st curve.

Performance of a local reference curve for predicting small for gestational age fetuses in pregnant women with HIV/AIDS.

PURPOSE: To compare the performance of a local estimated fetal weight curve with curves established for other populations to predict small for gestational age (SGA) fetuses. METHODS: A retrospective and cross-sectional study involving 231 fetuses in which the performance of a local curve (proposed model) was compared with the Hadlock and Intergrowth-21st curves in the prediction of SGA fetuses, by applying them to a population of high-risk pregnant woman with HIV/AIDS. For each model, a receiver operating characteristic curve was adjusted, considering the SGA classification by the neonatal Intergrowth method as the gold standard, and the area under the curve (AUC) was calculated. RESULTS: The models presented linear correlations with each other. The agreement of the proposed model with Hadlock was very good (kappa = 0.83), whereas the proposed model and Intergrowth-21st had moderate agreement (kappa = 0.44). The SGA fetus detection sensitivities of the proposed model and Hadlock were 61.9% and 57.1%, with specificity of 84.1% and 86.2% and accuracy of 80.1% and 81%, respectively, without statistical difference. The sensitivity of the Intergrowth-21st model was 33.3%, while the accuracy was 85.7% and the specificity was 97.4%. The AUC estimated values for the Hadlock, proposed, and Intergrowth-21st models were 0.834, 0.832, and 0.835, respectively. CONCLUSION: The proposed model and Hadlock were interchangeable in the prediction of SGA fetuses and superior to the Intergrowth-21st model.