Objective To analyze the influencing factors of preterm birth in pregnant women with gestational diabetes mellitus and establish a prediction model.Methods 165 pregnant women with gestational diabetes admitted to our hospital from January 2022 to October 2023 were retrospectively analyzed and divided into preterm group(43 cases)and term group(122 cases)according to whether they had preterm birth.The clinical data of all pregnant women were collected,multivariate Logistic regression analysis was used to explore the risk factors associated with preterm delivery in pregnant women with gestational diabetes mellitus,and the prediction model was constructed and verified.Results The incidence of preterm deliv-ery was 26.06％(43/165)in pregnant women with gestational diabetes.Logistic regression analysis showed that age and pre-pregnancy BMI increase,gestational hypertension,history of abortion,history of preterm birth,peripheral white blood cell level≥10× 109/L in late pregnancy,OGTT fasting blood glucose ≥5.1 mmol/L were all risk factors for preterm birth in preg-nant women with gestational diabetes(P＜0.05).Based on the above risk factors,a nomogram model was constructed.The area under the curve(AUC)was 0.882(95％CI:0.814-0.931),suggesting that the model has good predictive efficacy.In the results of the Hosmer-Lemeshow test x2=0.652,P=0.730,the calibration curve showed good consistency with the standard curve.Conclusion This study identified 7 indicators related to preterm birth in pregnant women with gestational diabetes mellitus and built a related model,which is helpful for clinical screening of high-risk pregnant women and reduce the occurrence of preterm birth.
gestational diabetes melltiuspremature deliveryrisk factornomograms model
NETL
NSTL
万方数据
