Prevalence of Depressive Symptoms in Patients Undergoing Aseptic Revision Total Hip Arthroplasty Differs Based on Mode of Failure
Bibliographic record
Abstract
Background Complications following total hip arthroplasty (THA) may necessitate a revision and patients who go on to a revision THA may experience depressive symptoms. The objective of this study was to investigate the prevalence of depressive symptoms before and after revision THA for six different failure modes. Methods Patients who underwent a THA revision with minimum 1-year follow-up at a single institution from 2008 to 2022 were retrospectively reviewed. Patients were grouped by failure modes: aseptic loosening, impingement, infection, instability, metallosis, polyethylene wear, and femoral stem pain. Preoperative and postoperative Veterans RAND 12-Item Health Scores and Harris Hip Score were compared. Results Twenty-four percent of patients in the retrospective cohort review had a previous existing mental health diagnosis, with depression being the most common (18% of all patients). The prevalence of depressive symptoms differed significantly by failure mode both preoperatively ( P = .002) and postoperatively ( P = .019). Veterans RAND 12 mental component score was significant between mode of failure groups both preoperatively ( P < .001) and postoperatively ( P = .005). Function significantly improved in all groups from preoperatively to postoperatively. Patients with depressive symptoms had significantly lower physical component score with instability, aseptic loosening, stem pain, and metallosis preoperatively ( P < .001) and with instability, aseptic loosening, stem pain, and polyethylene wear postoperatively ( P = .002). Conclusions Nearly 25% of patients with failed THA had a pre-existing mental health diagnosis and depressive symptoms were the most common. Unfortunately, depressive symptoms only improve modestly with revision surgery and can adversely affect a patient's functional outcome.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".