Preoperative psychological resilience and recovery after hip fracture: Secondary analysis of the <scp>REGAIN</scp> randomized trial
Bibliographic record
Abstract
BACKGROUND: How psychological resilience influences postoperative outcomes remains poorly characterized. We tested the hypothesis that psychological resilience is associated with lower odds of death or new inability to walk independently and other outcomes at 60 days after hip fracture surgery. METHODS: This was a pre-planned secondary analysis of a multicenter randomized trial comparing spinal versus general anesthesia for hip fracture surgery. We analyzed data on 1360 adults aged 50 years or older who were hospitalized for hip fracture surgery at one of 46 US or Canadian hospitals and provided psychological resilience data preoperatively as measured via the Brief Resilience Scale. Major exclusions were the inability to walk without human assistance before fracture and contraindications to spinal anesthesia. Death or new inability to walk independently at 60 days after surgery was the primary outcome; death or new nursing home residence at 60 days and 60-day mortality were secondary outcomes. RESULTS: Greater psychological resilience was associated with lower odds of death or new inability to walk at day 60 (adjusted odds ratio [aOR] 0.77; 95% Confidence Interval [CI], 0.61 to 0.98; p = 0.03). We observed a similar association between psychological resilience and outcomes among patients who did not experience complications after surgery (aOR 0.72; CI 0.55 to 0.94, p = 0.02), but not those who had complications (aOR 1.00; CI 0.59 to 1.69, p = 0.99). Psychological resilience was associated with lower odds of 60-day death or new nursing home residence (aOR 0.73; 95% CI 0.58 to 0.93; p < 0.001) but not with 60-day mortality (aOR 0.92; 95% CI 0.56 to 1.49; p = 0.73). CONCLUSIONS: Psychological resilience is associated with better outcomes for older adults after hip fracture surgery, but largely among those who do not have postoperative complications. Future interventions may focus on improving psychological resilience preoperatively or providing support to patients with lower psychological resilience.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".