Risk factors for postoperative delirium in geriatric patients with hip fracture: A systematic review and meta-analysis
Bibliographic record
Abstract
Objectives: This systematic review and meta-analysis was conducted to identify the potential risk factors for postoperative delirium in geriatric patients with hip fracture. Methods: PubMed, EMBASE, and Cochrane Library were searched from inception until December 31st, 2021. A combined searching strategy of subject words and free words was adopted. Studies involving risk factors for postoperative delirium in elderly patients undergoing hip fracture surgeries were reviewed. Qualities of included studies were assessed using the Newcastle-Ottawa Scale. Data were pooled and a meta-analysis was performed using Review Manager 5.3. Results: A total of 37 studies were included. The following risk factors were significant: advanced age (per year increase) (OR: 1.05, 95% CI 1.04-1.07), age>80 years (OR: 2.26, 95% CI 1.47-3.47), male (OR: 1.53, 95% CI 1.37-1.70), preoperative cognitive impairment (OR:3.20, 95% CI 2.12-4.83), preoperative dementia (OR: 2.74, 95% CI 2.18-3.45), preoperative delirium (OR: 9.23, 95% CI 8.26-10.32), diabetes (OR: 1.18, 95% CI 1.05-1.33), preoperative functional dependence (OR: 1.31, 95% CI 1.11-1.56), ASA level (per level increase) (OR: 1.63, 95% CI 1.04-2.57), ASA level≥3(OR: 1.76, 95% CI 1.39-2.24), low albumin (OR: 3.30, 95% CI 1.44-7.55), medical comorbidities (OR: 1.15, 95% CI 1.06-1.25), Parkinson's disease (OR: 4.17, 95% CI 1.68-10.31) and surgery delay>48 h (OR: 1.90, 95% CI 1.36-2.65). Conclusions: Clinicians should be alert to patients with those risk factors. To identify the risk factors more precisely, more research studies with larger sample size and better design should be conducted.
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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 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".