Age at Time of Surgery but Not Sex Is Related to Outcomes After Medial Patellofemoral Ligament Reconstruction
Bibliographic record
Abstract
BACKGROUND: Medial patellofemoral ligament (MPFL) reconstruction has become a well-accepted procedure for recurrent patellofemoral instability. Despite a growing volume of research assessing surgical results, the relationship of age and sex to outcomes after MPFL reconstruction surgery is unclear. PURPOSE: To investigate whether age at the time of surgery or sex influenced patient-reported quality of life and clinical outcome after MPFL reconstruction for recurrent lateral patellofemoral instability. STUDY DESIGN: Cohort study; Level of evidence, 3. METHODS: Between January 2010 and May 2016, 328 patients underwent primary patellofemoral stabilization. Demographic and clinical data were collected preoperatively. Patients completed the Banff Patellofemoral Instability Instrument (BPII) at the pre- and postoperative visits and were assessed clinically at 12 and 24 months. To assess the effects of age at surgery and sex on BPII, multiple linear regression models were fit predicting BPII at 12 and 24 months. An unadjusted regression was applied with the predictors being age at the time of surgery and sex. A second regression model was applied adjusting for age at first dislocation, grade of trochlear dysplasia, knee hyperextension, and the WARPS/STAID score-a measure of the risky patellofemoral instability characteristics of the patient. RESULTS: Of 328 patients, 298 (91%) had complete data and minimum 12-month BPII scores available for analysis. There were 11 redislocations in the cohort (3.4%), all in female patients. When stratified by sex, baseline characteristics were not statistically different except for higher age at first dislocation ( P = .022) as well as higher WARPS/STAID scores ( P = .006) for males. Age at the time of surgery was statistically significant for each postoperative follow-up, with lower BPII scores apparent for each 10-year increase in age at the time of surgery. In the adjusted model, the WARPS/STAID score was significantly associated with the preoperative BPII score. For the 24-month postoperative BPII scores, age at time of surgery and preoperative WARPS/STAID score were both significant. Lower BPII scores were apparent for each 10-year increase in age at the time of surgery, as well as for lower scores on the WARPS/STAID classification. CONCLUSION: This study demonstrated that when adjusted for risky pathoanatomy, neither age at first dislocation nor sex influences patient-reported quality of life outcomes after MPFL reconstruction. Age at the time of surgery was correlated with outcome, with lower BPII scores apparent for each 10-year increase in age at the time of MPFL reconstruction.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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".