Risk factors and prediction model for low-birth-weight infants born to women with gestational diabetes mellitus
Adult
China
Infant, Newborn
Infant, Low Birth Weight
gestational diabetes mellitus
nomogram
prediction model
Diabetes, Gestational
Nomograms
low birth weight infant
risk factor
Pregnancy
Risk Factors
Humans
Birth Weight
Female
Public Health
Public aspects of medicine
RA1-1270
Retrospective Studies
DOI:
10.3389/fpubh.2024.1432033
Publication Date:
2024-10-10T13:33:04Z
AUTHORS (3)
ABSTRACT
Aim To explore the risk factors for low-birth-weight infants born to pregnant women with GDM develop a prediction model and construct nomogram of low birth weight GDM. Methods The clinical data singleton diagnosed gestational diabetes mellitus in Southeast China 2019 were retrospectively reviewed. Gestational conditions neonatal assessed. Results A total 386 diabetic mothers enrolled, including 193 group normal group. statistically significant age over 36 years (OR = 1.916, 95% CI 1.048–3.505), junior high school education 4.454, 1.882–10.543), history fetal distress 0.120, 0.016–0.925), hypertension 3.681, 1.357–9.986), preeclampsia 24.652, 5.956–102.036), threatened preterm 18.393, 8.457–39.999), triglycerides 0.642, 0.485–0.850), inadequate gain 1.997, 1.162–3.432). area under receiver operating characteristic curve (AUC) was 0.834 (95% CI: 0.794–0.874, p < 0.001), sensitivity specificity 82.38 87.56%, respectively. goodness-of-fit test likelihood ratio 2 2.089 ( 0.978). comprehensive showed that discrimination mean absolute error 0.015, calibration curves acceptable agreement between predictions column line plots observations. DCA good positive net yields model. Discussion This study established score It helps pregnancy clinics identify newborns promptly, addition glycemic control management GDM, should improve appropriate treatment plan higher risk, provide personalized precise infant outcomes.
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