Incidence Risk and Independent Predictors of Prolonged Air Leak in 269 Consecutive Pulmonary Resection Patients over Nine Months: A Single-Center Retrospective Cohort Study
Bibliographic record
Abstract
Introduction: Prolonged air leak (PAL) is a common complication following pulmonary resection. It is associated with pneumonia, empyema, increased length of hospital stay and health-care costs. Intraoperative techniques have been developed to mitigate the risk of developing a PAL, but for their use to be efficient, identification of patients at risk for PAL is necessary. Aim: To determine the incidence of PAL following lobectomy and lesser pulmonary resections, risk factors for development of PALs, and the impact of PAL on hospital stay and readmission rates. Methods: The following variables were analyzed as PAL risk factors: patient characteristics of age, sex, body mass index (BMI), forced minute expiratory volume and capacity ratio (FEV1 and FEV1/FVC), diffusion capacity (DCLO), and transplant recipient status. Validated scoring systems included the Charlson Comorbidity Index (CCI), Medical Research Council (MRC) dyspnea score, and Eastern Cooperative Oncology Group (EGOC) score. Surgical factors included surgical technique, unplanned conversion from video-assisted thoracoscopic surgery (VATS) to thoracotomy, location and extent of resection, presence of adhesions, completeness of fissures, and method of fissure completion. Length of hospital stay and readmission rates were analyzed. Statistical tests performed on the data include univariate and multivariate logistic regression analyses. Results: Over the 9-month study duration there were 269 lung resections, of which 31 (11.52%) had an air leak lasting longer than 5 days. Mean length of stay in hospital was significantly longer in patients with PAL compared to the control group (13 vs 5 days, P P = 0.009), right upper lobectomy (P = 0.001), and unplanned conversion from video-assisted thoracoscopic surgery (VATS) to thoracotomy (P = 0.023). Conclusion: The incidence of PAL in our study population is similar to that found in previous studies. PAL prolongs hospital length of stay. Normal BMI, right upper lobectomy, and unplanned conversion from VATS to thoracotomy are risk factors for PAL.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".