What are Risk Factors of Postoperative Pneumonia in Geriatric Individuals after Hip Fracture Surgery: A Systematic Review and Meta‐Analysis
Bibliographic record
Abstract
Postoperative pneumonia (POP) is a common postoperative complication. Negative consequences associated with POP included prolonged hospital length of stay, more frequent intensive care unit (ICU) stays, and a higher rate of sepsis, readmission, and mortality. This meta-analysis aimed to assess the incidence and risk factors associated with POP after hip fracture surgery in elderly patients. PubMed, Web of Science, and Cochrane Library were searched (up to March 31, 2022). All studies on the risk factors for POP after hip fracture surgery in elderly patients, published in English, were reviewed. The qualities of the included studies were assessed using the Newcastle-Ottawa Scale. Data were pooled, and a meta-analysis was performed. Ten studies, including 12,084 geriatric patients undergoing hip fracture surgery, were included. Of these 12,084 patients, POP occurred in 809 patients. The results indicated that age (mean difference [MD] = 4.95, 95% confidence interval [CI]: 3.22-6.69), male (odds ratio [OR] = 1.41, 95% CI: 1.02-1.93), the American Society of Anaesthesiologists classification ≥3 (OR = 3.48, 95% CI: 1.87-6.47), dependent functional status (OR = 5.23, 95% CI: 2.18-12.54, P = 0.0002), smoking (OR = 1.33, 95% CI: 1.07-1.65), chronic obstructive pulmonary disease (OR = 3.76, 95% CI: 2.07-6.81), diabetes mellitus (OR = 1.19, 95% CI: 1.01-1.40), coronary heart disease (OR = 1.74, 95% CI: 1.23-2.46), arrhythmia (OR = 1.47, 95% CI: 1.01-2.14), cerebrovascular disease (OR = 1.88, 95% CI: 1.56-2.27), dementia (OR = 2.36, 95% CI: 1.04-5.36), chronic renal failure (OR = 1.85, 95% CI: 1.29-2.67), hip arthroplasty (OR = 1.30, 95% CI: 1.08-1.56), delayed surgery (OR = 6.40, 95% CI: 3.00-13.68), preoperative creatinine (MD = 5.32, 95% CI: 0.55-10.08), and preoperative serum albumin (MD = -3.01, 95% CI: -4.21 - -1.80) were risk factors for POP. Related prophylactic measures should be provided in geriatric patients with the above-mentioned risk factors to prevent POP after 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 | 0.016 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.021 | 0.041 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| 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".