Precision stratification of prognostic risk factors associated with outcomes in gestational diabetes mellitus: a systematic review

Authors

Zhila Semnani-Azad, Harvard T.H. Chan School of Public Health
Romy Gaillard, Erasmus MC
Alice E. Hughes, University of Exeter Medical School
Kristen E. Boyle, University of Colorado Department of Pediatrics
Kristen E. Boyle, University of Colorado Department of Pediatrics
Deirdre K. Tobias, Harvard T.H. Chan School of Public Health
Paul W. Franks, Harvard T.H. Chan School of Public Health
Stephen S. Rich, University of Virginia School of Medicine
Robert Wagner, Deutsches Diabetes-Zentrum
Tina Vilsbøll, Steno Diabetes Center Copenhagen
Kimberly K. Vesco, Kaiser Permanente Center for Health Research
Miriam S. Udler, Massachusetts General Hospital
Tiinamaija Tuomi, Helsinki University Hospital
Arianne Sweeting, Faculty of Medicine and Health
Emily K. Sims, Indiana University School of Medicine
Jennifer L. Sherr, Yale School of Medicine
Robert K. Semple, Edinburgh Medical School
Rebecca M. Reynolds, Edinburgh Medical School
Maria J. Redondo, Baylor College of Medicine
Leanne M. Redman, Pennington Biomedical Research Center
Richard E. Pratley, AdventHealth Translational Research Institute
Rodica Pop-Busui, University of Michigan Medical School
Toni I. Pollin, University of Maryland School of Medicine
Wei Perng, University of Colorado Anschutz Medical Campus
Ewan R. Pearson, University of Dundee School of Medicine
Susan E. Ozanne, University of Cambridge
Katharine R. Owen, University of Oxford Medical Sciences Division
Richard Oram, University of Exeter Medical School
Rinki Murphy, Faculty of Medical and Health Sciences
Viswanathan Mohan, Madras Diabetes Research Foundation
Shivani Misra, Imperial College London
James B. Meigs, Harvard Medical School
Nestoras Mathioudakis, Johns Hopkins University School of Medicine
Chantal Mathieu, KU Leuven– University Hospital Leuven

Document Type

Article

Publication Date

12-1-2024

Abstract

Background: The objective of this systematic review is to identify prognostic factors among women and their offspring affected by gestational diabetes mellitus (GDM), focusing on endpoints of cardiovascular disease (CVD) and type 2 diabetes (T2D) for women, and cardiometabolic profile for offspring. Methods: This review included studies published in English language from January 1st, 1990, through September 30th, 2021, that focused on the above outcomes of interest with respect to sociodemographic factors, lifestyle and behavioral characteristics, traditional clinical traits, and ‘omics biomarkers in the mothers and offspring during the perinatal/postpartum periods and across the lifecourse. Studies that did not report associations of prognostic factors with outcomes of interest among GDM-exposed women or children were excluded. Results: Here, we identified 109 publications comprising 98 observational studies and 11 randomized-controlled trials. Findings indicate that GDM severity, maternal obesity, race/ethnicity, and unhealthy diet and physical activity levels predict T2D and CVD in women, and greater cardiometabolic risk in offspring. However, using the Diabetes Canada 2018 Clinical Practice Guidelines for studies, the level of evidence was low due to potential for confounding, reverse causation, and selection biases. Conclusions: GDM pregnancies with greater severity, as well as those accompanied by maternal obesity, unhealthy diet, and low physical activity, as well as cases that occur among women who identify as racial/ethnic minorities are associated with worse cardiometabolic prognosis in mothers and offspring. However, given the low quality of evidence, prospective studies with detailed covariate data collection and high fidelity of follow-up are warranted.

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