EP6.72 Activity Level Assessments at Presentation in Femoroacetabular Impingement Patients Are Inaccurate Representation of Pre-injury Activity
Bibliographic record
Abstract
Abstract Background: Activity level plays an important role in the pathophysiology of femoroacetabular impingement (FAI) and returning to pre-injury activity level is a critical component of patient satisfaction after treatment. The UCLA activity scale is the most utilized assessment of activity but asks patient’s current activity level at presentation. Given the symptom chronicity, many patients may have changes in their baseline activity before presentation, but this concept is not well understood. The purpose of this study was to determine if differences in activity level exist between pre-injury and at presentation using the UCLA activity scale. Methods: A prospective multicenter study of FAI patients undergoing primary hip arthroscopy was utilized to investigate the changes in activity level associated with symptomatic FAI. Patients aged 14-45 years with idiopathic FAI. Exclusion criteria were previous ipsilateral hip procedures. UCLA activity was assessed preinjury (UCLA-preinjury), during the six months before treatment (UCLA-6months) and at the time of presentation/surgery (UCLA-current). The McNemar and Wilcoxon Signed-Rank tests were used to determine whether differences existed at different time points. Multivariable analysis was performed to look for predictors of UCLA score differences. Results: The study cohort included 661 patients with a mean age of 24.9± 7.9 with 56% females. Sports participation was 60.7% with 61.2% of these being competitive. The mean UCLA-current was 6.4 ±2.9, while the mean UCLA-6months was 6.8 ±2.8 and the mean UCLA-preinjury was 9.1 ± 1.9 (p<0.001). Comparing UCLA-preinjury to UCLA-current scores, 52.8% had at least a 2-point discrepancy. Multivariable analysis (controlling for UCLA-preinjury scores) determined that females (OR: 1.64, p=0.005) and patients who were not involved in sports (OR: 4.65, p<0.001) were associated with UCLA scores that changed by at least 2 points from the pre-injury to surgery timepoints. Conclusion: In FAI, activity level declines as disease progresses. Assessment of baseline activity at presentation or time of surgery is an inaccurate representation of pre-injury activity in most patients. Assessing activity level should assess pre-injury activity in order to provide an accurate target for true return to function.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".