Construction of prediction model for fetal growth restriction during first trimester.

To construct a prediction model for fetal growth restriction (FGR) during the first trimester (11-13 Single pregnancies who underwent the first trimester (11-13 A total of 1188 pregnant women were included in the final statistical analysis, of whom 108 had FGR. LASSO regression identified 7 predictive features, including a history of maternal hypertension, maternal smoking or passive smoking history, number of pregnancies, uterine artery pulsatility index (UtA PI), ductus venosus pulsatility index (DV PIV), placental growth factor multiples of the median (PlGF MOM), and soluble fms-like tyrosine kinase-1 (sFlt-1) MOM. The nomogram prediction model constructed based on the above predictors predicted FGR more accurately, and the area under the curve (AUC) in the validation cohort was 0.82 (95%CI: 0.74-0.90). The calibration curve and Hosmer-Lemeshow test demonstrated good calibration of the model, while the clinical decision curve and clinical impact curve conclusively support its practical value in the clinical setting. The multi-index prediction model constructed during the first trimester is feasible and has good predictive value. This article is protected by copyright. All rights reserved.

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This article is protected by copyright. All rights reserved.