Fracture risk assessment in the presence of competing risk of death
Adjustment for competing risk of death has minimum impact on the short-term prediction of fracture. However, the multistate model yields the most accurate prediction of long-term fracture risk and should be considered for predictive research in the elderly, who are also at high mortality risk. Fracture risk assessment might be compromised by the competing event of death. This study, using real-world data found a multistate model was superior to the current competing risk methods in fracture risk assessment. A multistate model is considered an optimal statistical method for predictive research in the elderly.
Authors
- Thach Tran (ORCID: https://orcid.org/0000-0002-6454-124X)
- Robert D. Blank (ORCID: https://orcid.org/0000-0003-2950-1944)
- Tuan V. Nguyen (ORCID: https://orcid.org/0000-0002-3246-6281)
- Dana Bliuc (ORCID: https://orcid.org/0000-0001-9682-2313)
Institutions
- University of Technology Sydney (AU)
- The University of Sydney (AU)
- Garvan Institute of Medical Research (AU)
- UNSW Sydney (AU)
- The University of Notre Dame Australia (AU)
Publication Details
- Journal
- Osteoporosis International
- Published
- 2024-08-15
- DOI
- https://doi.org/10.1007/s00198-024-07224-z
- Citations
- 1
- Primary Topic
- Bone health and osteoporosis research
- Type
- article
- Field-Weighted Citation Impact
- 0.48
Funders
- University of Technology Sydney