A prospective study for gestational diabetes mellitus: Analysis of risk factors in Turkish women for early prediction

• Published in: International journal of gynecology and obstetrics Vol. 161; no. 2; pp. 525 - 535
• Main Authors: Kurt, Burçin, Gürlek, Beril, Keskin, Seda, Kurt, Tuğba, Kasap, Zeliha Aydın, Kırkbir, İlknur Buçan, Kart, Cavit, Özdemir, Sinem, Baki, Neslihan, Ünsal, Serbülent, Turhan, Kemal
• Format: Journal Article
• Language: English
• Published: United States 01.05.2023
• Subjects: Blood Glucose - analysis; Body Mass Index; Diabetes, Gestational - diagnosis; Diabetes, Gestational - epidemiology; early prediction; Female; gestational diabetes mellitus; Humans; Infant, Newborn; logistic regression; Pregnancy; Pregnancy Trimester, First; Premature Birth; Prospective Studies; prospective study; random forest; Risk Factors; early prediction; risk factors; gestational diabetes mellitus; random forest; logistic regression; prospective study
• ISSN: 0020-7292; 1879-3479
• DOI: 10.1002/ijgo.14531

Objective To define risk factors for the early prediction of gestational diabetes mellitus (GDM) because the risk of pre‐eclampsia and preterm birth increases in mothers who are diagnosed with GDM. Materials and methods A prospective study was designed and the data were collected by physicians prospectively from the patients who came to the clinic between the years 2019 and 2021; informed consent was obtained from the women. The prospective data comprised 489 patient records with 72 variables and the risk factors for early prediction of GDM were determined using logistic regression and random forest (RF), which is an advanced analysis method. Results The obtained sensitivity and specificity values are 90% and 75% for logistic regression and 71% and 90% for the RF, respectively. Conclusion In this prospective study of GDM in Turkish women; age, body mass index, level of hemoglobin A1c, level of fasting blood sugar, physical activity time in first trimester, gravidity, triglycerides, and high‐density lipoprotein cholesterol were confirmed to be risk factors in analysis results. Synopsis Risk factors for early prediction of gestational diabetes mellitus were determined using logistic regression and random forest methods.