Fracture prediction tools in diabetes.

Area of Science:

• Endocrinology
• Bone Metabolism
• Gerontology

Background:

• Type 1 and Type 2 diabetes mellitus are linked to elevated fracture risk, irrespective of bone mineral density.
• Effective fracture risk prediction is crucial for identifying individuals who would benefit most from antifracture interventions.

Purpose of the Study:

• To review recent advancements in fracture prediction tools specifically for individuals with diabetes.
• To assess the performance and limitations of existing tools in this population.

Main Methods:

• Review of validated fracture risk assessment tools including FRAX, Garvan Fracture Risk Calculator, and QFracture.
• Analysis of how these tools incorporate diabetes (Type 1 and Type 2) and related risk factors.
• Examination of studies validating these tools in diabetic populations.

Main Results:

• FRAX tool underestimates fracture risk in both Type 1 and Type 2 diabetes, despite considering Type 1 diabetes under secondary osteoporosis.
• Adjustments like Trabecular bone score improve FRAX estimations for Type 2 diabetes, but similar adjustments for Type 1 diabetes are lacking.
• Garvan FRC and QFracture have limitations in directly assessing diabetes-related fracture risk, with QFracture lacking direct validation in diabetic individuals.

Conclusions:

• Existing fracture risk prediction tools require further validation and comparison for their performance in individuals with diabetes.
• Enhanced tools or modifications are necessary to accurately predict fracture risk in diabetic populations.
• Improved risk stratification is essential for optimizing antifracture therapy in patients with diabetes.