title: The Predictive Effects of Early Pregnancy Lipid Profiles and Fasting Glucose on the Risk of Gestational Diabetes Mellitus Stratified by Body Mass Index.
abstract: This study aimed at evaluating the predictive effects of early pregnancy lipid profiles and fasting glucose on the risk of gestational diabetes mellitus (GDM) in patients stratified by prepregnancy body mass index (p-BMI) and to determine the optimal cut-off values of each indicator for different p-BMI ranges. A retrospective system cluster sampling survey was conducted in Beijing during 2013 and a total of 5,265 singleton pregnancies without prepregnancy diabetes were included. The information for each participant was collected individually using questionnaires and medical records. Logistic regression analysis and receiver operator characteristics analysis were used in the analysis. Outcomes showed that potential markers for the prediction of GDM include early pregnancy lipid profiles (cholesterol, triacylglycerols, low-density lipoprotein cholesterol/high-density lipoprotein cholesterol ratios [LDL-C/HDL-C], and triglyceride to high-density lipoprotein cholesterol ratios [TG/HDL-C]) and fasting glucose, of which fasting glucose level was the most accurate indicator. Furthermore, the predictive effects and cut-off values for these factors varied according to p-BMI. Thus, p-BMI should be a consideration for the risk assessment of pregnant patients for GDM development.
authors.affiliation: Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, China.
authors.forename: Chen
authors.initials: C
authors.lastname: Wang
authors.affiliation: Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, China; National Institute of Hospital Administration, Beijing 100091, China.
authors.forename: Weiwei
authors.initials: W
authors.lastname: Zhu
authors.affiliation: Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, China.
authors.forename: Yumei
authors.initials: Y
authors.lastname: Wei
authors.affiliation: Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, China.
authors.forename: Rina
authors.initials: R
authors.lastname: Su
authors.affiliation: Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, China.
authors.forename: Hui
authors.initials: H
authors.lastname: Feng
authors.affiliation: Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, China.
authors.forename: Li
authors.initials: L
authors.lastname: Lin
authors.affiliation: Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, China.
authors.forename: Huixia
authors.initials: H
authors.lastname: Yang
mesh_terms: D000328:Adult; D019540:Area Under Curve; D015415:Biomarkers / Q000097:blood; D001786:Blood Glucose / Q000378:metabolism*; D015992:Body Mass Index; D016009:Chi-Square Distribution; D016000:Cluster Analysis; D016640:Diabetes, Gestational / Q000097:blood / Q000175:diagnosis / Q000209:etiology*; D005215:Fasting / Q000097:blood*; D005260:Female; D006801:Humans; D008055:Lipids / Q000097:blood*; D016015:Logistic Models; D008499:Medical Records; D015999:Multivariate Analysis; D009765:Obesity / Q000097:blood / Q000150:complications* / Q000175:diagnosis; D016017:Odds Ratio; D011237:Predictive Value of Tests; D011247:Pregnancy; D012372:ROC Curve; D012189:Retrospective Studies; D012307:Risk Factors; D011795:Surveys and Questionnaires
chemical_list: D015415:Biomarkers; D001786:Blood Glucose; D008055:Lipids