To develop and validate a predictive model for long-term mortality in patients with vertebral compression fractures (VCFs) aged 65 and older.
Key Findings:
The XGB model achieved a C-index of 0.753, outperforming other models.
Significant predictors of mortality were identified through SHAP analysis, which provides insights into feature importance.
The model effectively stratified patients into high- and low-risk groups.
Interpretation:
The developed model can aid in individualized treatment decisions for elderly patients with VCFs, enhancing clinical decision-making.
Limitations:
The study was conducted at a single center, which may limit generalizability.
The retrospective nature of the study may introduce biases.
The model has not been externally validated.
Conclusion:
A novel risk-stratification model for predicting mortality in VCF patients was developed, demonstrating high discriminative ability and clinical utility, which can significantly enhance individualized treatment decisions.
Acidic gum beat sugar-free at cranking out nitric oxide from beetroot juice — exactly backward from what test-tube studies predicted. Also this week: a sleep gene that ignores amyloid, and jackfruit sap moonlighting as a bone-building drug delivery system.
