First-trimester prediction of gestational diabetes mellitus: Examining the potential of combining maternal characteristics and laboratory measures

Savvidou, M., Nelson, S.M. , Makgoba, M., Messow, C.-M. , Sattar, N. and Nicolaides, K. (2010) First-trimester prediction of gestational diabetes mellitus: Examining the potential of combining maternal characteristics and laboratory measures. Diabetes, 59(12), pp. 3017-3022. (doi: 10.2337/db10-0688)

Abstract

OBJECTIVE Predictors of gestational diabetes mellitus (GDM) have been widely studied, but few studies have considered multiple measures. Our objective was to integrate several potential GDM predictors with consideration to both simple and novel measures and to determine the extent to which GDM can be predicted in the first trimester. RESEARCH DESIGN AND METHODS We identified first-trimester maternal samples from 124 women who developed GDM and 248 control subjects who did not. We gathered data on age, BMI, parity, race, smoking, prior GDM, family history of diabetes, and blood pressure. Using retrieved samples, we measured routine (lipids, high-sensitivity C-reactive protein, and gamma-glutamyltransferase) and novel (adiponectin, E-selectin, and tissue plasminogen activator [t-PA]) parameters. We determined independent predictors from stepwise regression analyses, calculated areas under the receiver-operating characteristic curves (AUC-ROC), and integrated discrimination improvement (IDI) for relevant models. RESULTS Compared with control subjects, women who subsequently developed GDM were older, had higher BMIs, were more likely to be of Asian origin, had a history of GDM or family history of type 2 diabetes, and had higher systolic blood pressure (P < 0.05 for all). With regard biochemical measures, stepwise analyses identified only elevated t-PA and low HDL cholesterol levels as significant (P <= 0.015) independent predictors of GDM beyond simple non-laboratory-based maternal measures. Their inclusion improved the AUC-ROC from 0.824 to 0.861 and IDI by 0.052 (0.017-0.115). CONCLUSIONS GDM can be usefully estimated from a mix of simple questions with potential for further improvement by specific blood measures (lipids and t-PA).

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Nelson, Professor Scott and Messow, Dr Martina and Sattar, Professor Naveed
• Authors: Savvidou, M., Nelson, S.M., Makgoba, M., Messow, C.-M., Sattar, N., and Nicolaides, K.
• College/School: College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > Robertson Centre; ?? 20206000 ??; College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing > Clinical Specialities; College of Medical Veterinary and Life Sciences > School of Cardiovascular & Metabolic Health
• Journal Name: Diabetes
• ISSN: 0012-1797