Postnatal glycaemic outcomes in women with high‐risk gestational diabetes: Identifying key predictors for early intervention
Ethnicity-specific prediction models integrating antepartum OGTT and HbA1c predict postpartum dysglycaemia in a multiethnic Southeast Asian cohort. Using these predictive models, we could identify high-risk patients for early intervention.
Authors
- Lay Kim Tan (ORCID: https://orcid.org/0000-0001-5846-2783)
- Phillip Phan (ORCID: https://orcid.org/0000-0002-1366-1604)
- Chin Meng Khoo (ORCID: https://orcid.org/0000-0003-1601-2391)
- Dawn Se Teng Lim
- E Shyong Tai (ORCID: https://orcid.org/0000-0003-2929-8966)
- Ada Ee Der Teo (ORCID: https://orcid.org/0000-0002-8832-0409)
- Pei Chia Eng (ORCID: https://orcid.org/0000-0002-4172-1344)
- Soo‐Hoon Lee (ORCID: https://orcid.org/0000-0002-5688-4058)
- Grace Fangmin Tan (ORCID: https://orcid.org/0000-0002-3910-1509)
Institutions
- Johns Hopkins University (US)
- National University of Singapore (SG)
- National University Hospital (SG)
- National University Health System (SG)
- Imperial College London (GB)
- Old Dominion University (US)
Publication Details
- Journal
- Diabetes Obesity and Metabolism
- Published
- 2024-11-27
- DOI
- https://doi.org/10.1111/dom.16085
- Citations
- 1
- Primary Topic
- Gestational Diabetes Research and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.58