1. Development and Internal Validation of Novel Risk Tools to Predict Subsequent Shoulder Surgery After Proximal Humerus Fractures
- Author
-
Muhammad Mamdani, Michael D. McKee, Aileen M. Davis, Jeremy A. Hall, Lauren L Nowak, Emil H. Schemitsch, and Dorcas E. Beaton
- Subjects
Shoulder ,medicine.medical_specialty ,Shoulder surgery ,medicine.medical_treatment ,Bone grafting ,Fracture Fixation, Internal ,Postoperative Complications ,medicine ,Humans ,Orthopedics and Sports Medicine ,Derivation ,Aged ,Fixation (histology) ,Ontario ,business.industry ,General Medicine ,Evidence-based medicine ,Humerus ,Surgery ,Treatment Outcome ,Cohort ,Shoulder Fractures ,Diagnosis code ,business ,Bone Plates ,Shoulder replacement - Abstract
Objective The objectives of this study were to: 1) identify predictors of subsequent surgery following initial treatment of proximal humerus fractures (PHF); and 2) generate valid risk prediction tools to predict subsequent surgery. Methods We identified PHF patients ≥ 50 years from 2004 to 2015 using health datasets in Ontario, Canada. We used procedural codes to classify patients into treatment groups of: 1) surgical fixation; 2) shoulder replacement; and 3) conservative. We used procedural and diagnosis codes to capture subsequent surgery within two years post fracture. We developed regression models for two thirds of each group to identify predictors of subsequent surgery, and the regression equations to develop risk tools to predict subsequent surgery. We used the final third of each cohort to evaluate the discriminative ability of the risk tools using c-statistics. Results We identified 20,897 PHF patients, 2,414 treated with fixation, 1,065 with replacement, and 17,418 treated conservatively. Predictors of reoperation following fixation included bone grafting, and nail or wire fixation vs. plate fixation, while poor bone quality was associated with reoperation following initial replacement. In conservatively treated patients, more comorbidities were associated with subsequent surgery, while age 70+, and discharge home following presentation lowered the odds of subsequent surgery. The risk tools were able to discriminate with c-statistics of 0.75-0.88 (derivation) and 0.51-0.79 (validation). Conclusion Our risk tools showed good to strong discriminative ability for patients treated with fixation and conservatively. These data may be used as the foundation to develop a clinically informative tool. Level of evidence Prognostic Level II. See Instructions for Authors for a complete description of levels of evidence.
- Published
- 2022
- Full Text
- View/download PDF