JBMR: Predictive study of osteoporotic fractures in the elderly

Background and purpose: Osteoporosis is a systemic bone disease characterized by decreased bone density and destruction of bone structure, resulting in decreased bone strength, thereby increasing the susceptibility to fractures

Decreased bone density and destruction of bone structure lead to a decrease in bone strength, thereby increasing the susceptibility to fractures

(1) Fracture treatment medical service program code (open reduction, closed reduction, fixation) (2) The main visit for a fracture, and there is at least one other claim related to the fracture at the same anatomical position (such as emergency room visits, follow-up visits) (3) If the fracture has at least one other claim related to the fracture, you should consult an orthopedic doctor

Table 1 Adjusted hazard ratios and 95% confidence intervals of risk factors included in the final prediction model for hip/femoral fractures over 5 years

Table 1 Adjusted hazard ratios and 95% confidence intervals of risk factors included in the final prediction model for hip/femoral fractures over 5 years

Table 2 Adjusted hazard ratios and 95% confidence intervals of risk factors included in the final prediction model for major osteoporotic fractures over 5 years

Table 2 Adjusted hazard ratios and 95% confidence intervals of risk factors included in the final prediction model for major osteoporotic fractures over 5 years

Figure 1 In the final model for predicting hip/femoral fractures over 5 years, adjust HR and 95% CI to predict age, (A, B) the harm compared to 66 years old

Figure 1 In the final model for predicting hip/femoral fractures over 5 years, adjust HR and 95% CI to predict age, (A, B) the harm compared to 66 years old

Figure 2 In the final model predicting major osteoporotic fractures over 5 years, HR and 95% CI were adjusted to predict age

Figure 2 In the final model predicting major osteoporotic fractures over 5 years, HR and 95% CI were adjusted to predict age

Table 3 The prediction performance of the final model for fracture prediction over 5 years

Table 3 The prediction performance of the final model for fracture prediction over 5 years

Figure 3 The smooth calibration curve of the forecast model for the last 5 years

Figure 3 The smooth calibration curve of the forecast model for the last 5 years

Table 4 Time-validated final model for fracture prediction over 5 years

Table 4 Time-validated final model for fracture prediction over 5 years

Conclusion: In this study, we derive a predictive model for identifying individuals with high-risk fractures in the medical management database

In this study, we derive a predictive model for identifying individuals with high-risk fractures in the medical management database

Beaudoin C, Jean S, Moore L,et al.

Prediction of Osteoporotic Fractures in Elderly Individuals: a Derivation and Internal Validation Study Using Healthcare Administrative Data

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