@article{74a9b2f339bd46d183e545c87c0007ff,
title = "The prognostic value of the oral glucose tolerance test for future type-2 diabetes in nulliparous pregnant women testing negative for gestational diabetes",
abstract = "Aim: To determine the prognostic value of the antepartum 75g-oral glucose tolerance test (OGTT) for future type 2 diabetes mellitus (T2DM) in nulliparous pregnant women who tested negative for GDM. Methods: A population-based retrospective cohort study of nulliparous pregnant women who underwent testing for GDM using a 75g-OGTT in Ontario, Canada (2007-2017). The overwhelming majority of women in Ontario undergo screening using the preferred 2-step approach where the 75g-OGTT is performed following an abnormal non-fasting 1 h 50g-glucose challenge test. The relationship between the 75g-OGTT results in women who tested negative for GDM (defined as normal glucose at fasting, 1 and 2 h post 75g-glucose load) and future T2DM (as recorded in the Ontario Diabetes Database by the end date of follow up period) was explored. Findings: Of the 162,622 women who underwent 75g-OGTT during the study period, there were 41,507 (75.0%) who met the study criteria. In women without GDM, the adjusted hazard ratios (aHR) for T2DM were–At fasting 2.82 (95%-CI 2.18-3.64), at 1 h 1.26 (1.15-1.37), at 2 h 1.14 (1.04-1.25) for a 1 mmol/L increase in glucose. A model that combined all 3 OGTT values and clinical characteristics could detect 43% (42.6%-43.4%) of those who developed T2DM at 5-years post the index pregnancy for a false-positive rate of 20%. Interpretation: The results of the antepartum OGTT can be used to refine the future risk of T2DM even in nulliparous pregnant women who tested negative for GDM.",
keywords = "Diabetes, Oral tolerance test, Pregnancy, Prognosis, Type 2",
author = "for-DOH-NET-(Diabetes-Obesity-and-Hypertension-in-Pregnancy-Research-Network)-and-SOON-(Southern-Ontario-Obstetrical-Network)-Investigators and Liran Hiersch and Shah, {Baiju R.} and Howard Berger and Michael Geary and McDonald, {Sarah D.} and Beth Murray-Davis and Ilana Halperin and Longdi Fu and Ravi Retnakaran and Jon Barrett and Nir Melamed",
note = "Publisher Copyright: {\textcopyright} 2022 Elsevier Masson SAS",
year = "2022",
month = sep,
doi = "10.1016/j.diabet.2022.101364",
language = "אנגלית",
volume = "48",
journal = "Diabetes and Metabolism",
issn = "1262-3636",
publisher = "Elsevier Masson",
number = "5",
}