Predicting Osteoporotic Fracture in Patients With Early-Stage Diabetic Kidney Disease Using a Radiomic Model: A Longitudinal Cohort Study
Authors' conclusion
The novel radiomic model has demonstrated a more effective prediction of fragility fracture in elderly patients in the early stages of DKDcompared to traditional fracture assessment tools.
Study context
- Population
- Older patients in the early stages of diabetic kidney disease (DKD) diagnosed between January 2015 and August 2019training 499, validation 216
- Participants
- 715 patients
- Exposure
- DXA-based radiomic model vs traditional fracture assessment tools
- Outcome
- Incident fragility fracture prediction (ROC AUC, calibration, decision curve analysis)
Methodological detailsradiomic prediction model, random split into training and validation cohorts
- Radiomic prediction model
- Random split into training and validation cohorts
Main finding
As reported in the abstract
Prediction of fragility fracture
Features selected for radiomic model
17
Observational data: associations, not effects.
Further findings
Incident fragility fractures · mean follow-up 4.72 ± 1.60 years
- Participants with incident fragility fractures
- 65 (9.09%)
Original publication
Predicting Osteoporotic Fracture in Patients With Early-Stage Diabetic Kidney Disease Using a Radiomic Model: A Longitudinal Cohort Study. Endocr Pract. Published 5 January 2024. doi:10.
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