Modeling recurrent heart failure risk in type 2 diabetes: impact of flexible HbA1c trajectories using nonhomogeneous Poisson processes
Low baseline HbA1c levels are associated with a lower risk of recurrent HHF, while poor glycemic control significantly increases this risk. Our application of LCGM with splines effectively captures flexible, long-term HbA1c trajectories, while the innovative use of the NHPP model allows for precise modeling of HHF recurrence risk. This approach provides a foundation for personalized risk predictions and future HF management by incorporating dynamically updated risk factors.
Authors
- Yong Mong Bee (ORCID: https://orcid.org/0000-0002-5482-2646)
- Xiuju Fu (ORCID: https://orcid.org/0000-0002-6673-1098)
- Di Cui (ORCID: https://orcid.org/0000-0002-9355-9991)
- Haiyan Xu (ORCID: https://orcid.org/0000-0003-4480-402X)
- Stefan Ma (ORCID: https://orcid.org/0000-0002-2415-5045)
Institutions
- Ministry of Health (SG)
- Singapore General Hospital (SG)
- Institute of High Performance Computing (SG)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2025-04-21
- DOI
- https://doi.org/10.3389/fendo.2025.1472846
- Primary Topic
- Cardiovascular Function and Risk Factors
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Agency for Science, Technology and Research