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Fracture risk assessment in the presence of competing risk of death.

Thach S TranDana BliucRobert D BlankJacqueline R CenterTuan V Nguyen
Published in: Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA (2024)
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.
Keyphrases
  • risk assessment
  • hip fracture
  • human health
  • heavy metals
  • high resolution
  • electronic health record
  • big data
  • machine learning
  • breast cancer risk