Establishment of a predictive model for spontaneous preterm birth in primiparas with grade A1 gestational diabetes mellitus.

ABSTRACT:

Objective

To establish a predictive model for spontaneous preterm birth (SPB) in primiparas with grade A1 gestational diabetes mellitus (GDM).

Methods

The clinical data of 1,229 primiparas with grade A1 GDM who delivered in our hospital from July 2020 to August 2023 were retrospectively analyzed, including 142 primiparas in the SPB group and 1,087 primiparas in the full-term group. Their basic information, family history, weight, cervical length (CL) measured by transvaginal ultrasound in the second trimester, and pregnancy complications were analyzed. The factors influencing SPB were explored, and a prediction model based on a random forest algorithm was constructed.

Results

Short CL in the second trimester, a family history of preterm birth, a high pre-pregnancy and

SUBMITTER: Sun T 

PROVIDER: S-EPMC11922705 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature