Pulmonary complications after major head and neck surgery: A retrospective cohort study
Bibliographic record
Abstract
OBJECTIVES/HYPOTHESIS: Postoperative pulmonary complications (PPCs) following head and neck surgery are common. Patients undergoing tracheostomy, free tissue transfer reconstruction, and postoperative ventilation in an intensive care unit (ICU) have a high incidence of PPCs. We sought to define the incidence of PPCs in this cohort and to determine what factors PPCs correlate with. STUDY DESIGN: Retrospective cohort study. METHODS: Following institutional research ethics board approval, a retrospective review of patients undergoing major head and neck surgery at a Canadian tertiary care center was conducted. The development of PPCs was the outcome of interest. Quality assurance parameters including ICU and hospital lengths of stay, and mortality were also recorded. RESULTS: There were 105 patients enrolled, of which 47 (44.8%) sustained one or more PPCs. The most frequent PPC was respiratory failure, accounting for 39 of 94 PPCs observed. Hypertension was the only comorbidity that correlated with development of a PPC (P = .031). Those who sustained PPCs were older than those who did not (median age, 65.6 vs. 58.7 years; P = .005). Development of PPCs correlated with longer ICU and hospital stays. There was increased mortality among patients with PPCs compared to those without (12.8% vs. 1.7%, P = .04). CONCLUSIONS: Patients undergoing major head and neck surgery are at high risk of PPCs. Advanced age and hypertension significantly correlated with PPCs. PPCs correlate with prolonged ICU and hospital stays, and increased mortality. Further research is needed to define risk factors, useful investigations, and effective optimization strategies to mitigate PPCs.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".