Early Pregnancy Glycosylated Hemoglobin in Relation to Gestational Diabetes Mellitus and Adverse Pregnancy Outcomes: Evidence from a Multisite Low- and Middle-Income Countries Cohort
Year: 2026
Type: preprint
Study design: Observational Study
Abstract: Background: Oral glucose tolerance test (OGTT), the gold standard for diagnosing gestational diabetes mellitus (GDM), faces significant implementation challenges, prompting interest in alternative biomarkers, such as glycated hemoglobin (HbA1c), for early detection. This study aimed to assess the association between early pregnancy HbA1c and subsequent GDM and adverse perinatal outcomes in low- and middle-income countries. Methods: (PRISMA-MNH) cohort, which followed pregnant women enrolled before 20 weeks of gestation across five study sites in Kenya, India, Pakistan, and Zambia. We excluded participants with overt diabetes, severe anemia (Hb <7.0 g/dl), multiple gestations, or pregnancies that ended before 24 weeks of gestation. HbA1c was measured at enrollment. The primary outcome was GDM, diagnosed according to the International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria based on OGTT performed after 24 weeks of gestation. Secondary outcomes included hypertensive disorder of pregnancy, emergent Cesarean section, preterm birth, large for gestational age, and stillbirth after 28 weeks. We used AUC and ROC analyses to evaluate predictive performance and single- and two-threshold approaches to identify optimal cutoffs for predicting GDM. We used modified Poisson regression with robust standard errors to assess associations between early HbA1c and outcomes, and meta-analysis to pool site-specific estimates. Results: ) than women without GDM. The AUC for HbA1c alone in predicting GDM was 0.65 (95% confidence interval 0.63-0.67). A single early HbA1c threshold of 5.4%, based on the largest Youden's index, showed limited predictive performance (sensitivity 46.7%, specificity 75.8%). A two-threshold approach identified rule-out and rule-in cutoffs of 5.0% (sensitivity 80.3%, specificity 35.6%) and 5.5% (sensitivity 34.5%, specificity 83.1%), respectively. In adjusted models, each 0.1% increase in HbA1c was associated with a 12% higher risk (RR 1.12, 95% CI 1.10-1.15) of GDM, while no significant associations were observed for any secondary outcomes. Conclusion: Early pregnancy HbA1c is independently associated with an increased risk of subsequent GDM. However, it demonstrated limited discriminatory ability as a standalone alternative to OGTT for identifying women who would later develop GDM. The identified rule-out threshold may help identify women at low risk of GDM, although the majority would still require OGTT for definitive diagnosis.
Source: medRxiv
Authors: Wen-Chien Yang, Sarah Sunil Joseph, B Vijayalekshmi, Bethany L Freeman, Muhammad Imran Nisar, Qing Pan, Santosh Joseph Benjamin, Jayakumar Amirtharaj G, Neeraj Sharma, Sarmila Mazumder, Zahra Hoodbhoy, Victor Akelo, Florence Aweyo, Emily R Smith, Christopher N Mores, Erin M Oakley, M Bridget Spelke, Humphrey Mwape, Sarah Mukuka, Margaret P Kasaro, Anne George Cherian
Institutions: George Washington University, Christian Medical College, Vellore, Institute for Stem Cell Biology and Regenerative Medicine, Aga Khan University, Society for Applied Studies, Liverpool School of Tropical Medicine, Kenya Medical Research Institute, University of North Carolina at Chapel Hill
Language: English
Subfield: Obstetrics and Gynecology
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: Collaborative Research and Innovation Organisation - To understand burden of adverse maternal and infant outcomes in LMIC settings., Aga Khan University - To understand burden of adverse maternal and infant outcomes in LMIC settings., University of North Carolina at Chapel Hill - to build a translational, data-generating and effectiveness-testing research platform focused on antenatal and postnatal care in the UNC-UNZA site ..., The Centre for Health Research and Development, Society for Applied Studies - To understand burden of adverse maternal and infant outcomes in Low- and Middle-Income Countries settings, Christian Medical College Vellore - to support pregnancy/postpartum surveillance infrastructure and data management/analysis at the CMC Vellore site., Liverpool School of Tropical Medicine - To understand burden of adverse maternal and infant outcomes in LMIC settings., Kintampo Health Research Centre - To understand burden of adverse maternal and infant outcomes in LMIC settings., The George Washington University - to support quality and rigor of ARC PRiSMA protocol implementation and data analysis through centralized processes and cross-site capacity building, The George Washington University - To support efficient and rigorous laboratory sample collection and analysis across the Preferred Reporting Items for Systematic Reviews and Meta-An..., A Career Development Award in Global Postpartum Health
OpenAlex ID: W7214724946
