PREDICTORS OF HETEROTOPIC OSSIFICATION FOLLOWING SURGICALLY TREATED ELBOW TRAUMA
Bibliographic record
Abstract
Heterotopic ossification (HO) is a common complication following surgically treated elbow trauma. While prophylactic measures have been studied, no interventions have been identified to be effective in the setting of elbow trauma. The primary objective of this study was to determine which patient, injury and surgical characteristics are associated with HO formation after surgically treated elbow trauma. Data for this study were obtained from 158 patients enrolled in a randomized controlled trial assessing the effect of indomethacin as a prophylactic intervention against HO following surgically treated elbow trauma. Injuries included: elbow fracture-dislocations, distal humerus fractures, capitellum/trochlear fractures, radial head fractures, olecranon fractures, trans-olecranon fractures, and monteggia fractures. Binary regression logistical analysis was completed with the presence of heterotopic ossification as the dependent variable to determine patient, injury and surgical characteristics associated with a higher risk of developing HO. Overall, 83 patients (52%) developed HO after surgical treatment of elbow trauma. In terms of patient demographics, dominant arm injury (odds ratio [OR] = 2.05, 95% confidence interval [CI]: 1.05 to 4.02, p = 0.036), BMI ≥ 25 (OR = 2.45, 95% CI: 1.16 to 5.17, p = 0.019), and age (OR = 1.02, 95% CI: 1.00 to 1.04, p = 0.047) all significantly increased the odds of developing HO. In terms of injury diagnoses, elbow fracture-dislocations (OR = 3.46, 95% CI: 1.77 to 6.79, p < 0.001) were more likely to result in HO. Conversely, patients with olecranon fractures (OR = 0.204, 95% CI: 0.07 to 0.58, p = 0.003) had lower odds of developing HO. With respect to surgical intervention, medial collateral ligament (MCL) repair (OR = 5.42, 95% CI: 1.16 to 25.34, p = 0.032), coronoid open reduction and internal fixation (OR = 4.14, 95% CI: 1.87 to 9.19, p < 0.001), and lateral collateral ligament (LCL) repair (OR = 2.79, 95% CI: 1.45 to 5.33, p = 0.002) all significantly increased the odds of developing HO. Patients who underwent medial sided elbow approaches (OR = 4.16, 95% CI: 1.87 to 9.24, p < 0.001) and combined medial and lateral approaches (OR = 6.15, 95% CI: 2.39 to 15.86, p < 0.001) were more likely to develop HO. This study highlights the significant patient, injury and surgical factors that are associated with developing HO following surgical management of elbow trauma. Age, dominant arm injury, BMI ≥ 25, elbow fracture-dislocations, MCL repair, coronoid fixation, LCL repair, medial sided elbow exposures, and combined (medial & lateral) exposures were associated with increased odds of developing HO. Patients with these risk factors should be appropriately counselled regarding their odds of developing this complication. Further HO prophylactic strategies should be developed and studied targeting these high-risk factors in the setting of elbow trauma requiring surgical management.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".