Risk factors for postoperative pneumonia in patients undergoing hip fracture surgery: a systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: Postoperative pneumonia (POP) is a devastating complication that can frequently occur after hip fracture surgery. This study aimed to quantitatively and comprehensively summarize the risk factors for POP following hip fracture surgery. METHODS: PubMed, Embase, and Cochrane Library were systematically searched for studies assessing risk factors for POP following hip fracture surgery. The pooled odds ratio (OR) and standardized mean difference (SMD) between patients with and without POP were calculated. Evidence was assessed using the Newcastle-Ottawa scale. RESULTS: Ten studies including 37,130 patients with hip fractures were selected. POP occurred in 1768 cases with an accumulated incidence of 7.8% (95% confidence interval [CI]: 0.061-0.094). Advanced age (SMD: 0.50, 95% CI: 0.10-0.90), male sex (OR: 1.50, 95% CI: 1.12-2.01), American Society of Anesthesiologists physical status scale ≥3 (OR: 3.17, 95% CI: 1.25-8.05), chronic obstructive pulmonary disease (OR: 2.05, 95% CI: 1.43-2.94), coronary heart disease (OR: 1.82, 95% CI: 1.27-2.60), arrhythmia (OR: 1.49, 95% CI: 1.04-2.15), congestive heart failure (OR: 1.41, 95% CI: 1.14-1.75), chronic kidney disease (OR: 2.09, 95% CI: 1.28-3.41), and cerebrovascular accident (OR: 2.14, 95% CI: 1.60-2.85) were risk factors for POP. Hemoglobin (SMD: -0.14, 95% CI: - 0.25 to - 0.03), albumin (SMD: -0.97, 95% CI: - 1.54--0.41), blood urea nitrogen (SMD: 0.20, 95% CI: 0.03-0.37), alanine aminotransferase (SMD: 0.27, 95% CI: 0.10-0.44), arterial oxygen pressure (SMD: -0.49, 95% CI: - 0.71--0.27), time from injury to surgery (SMD: 0.13, 95% CI: 0.08-0.17), and surgery within 48 h (OR: 3.74, 95% CI: 2.40-5.85) were associated with the development of POP. CONCLUSION: Patients with the aforementioned risk factors should be identified preoperatively, and related prophylaxis strategies should be implemented to prevent POP following hip fracture surgery.
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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 | 0.008 | 0.019 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.032 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 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".