Long‐term laryngotracheal complications following cardiac surgery
Bibliographic record
Abstract
BACKGROUND AND AIM OF THE STUDY: Long-term laryngotracheal complications have not been described in adult patients undergoing cardiac surgery. The purpose of this study was to determine the incidence of and risk factors for laryngotracheal complications following cardiac surgery. METHODS: A retrospective chart review of patients at high risk for laryngotracheal complications following cardiac surgery between 2006 and 2016 was performed. High-risk patients were reviewed to determine the presence of laryngotracheal complications including laryngotracheal stenosis, keyhole deformity, or vocal cord immobility. Logistic regression was used to identify predictors of long-term laryngotracheal complications. RESULTS: Of 11,417 patients who underwent cardiac surgery, 1099 were identified as at high risk. Of these, 24 (2.2%) developed laryngotracheal complications following their surgery and intensive care unit (ICU) stay. Laryngotracheal stenosis and keyhole deformity were present in 13 (1.2%) and 6 (0.5%) patients, respectively. Logistic regression demonstrated older age (age ≥ 70 odds ratio [OR] 0.31, 95% confidence interval [CI] 0.12-0.83) was protective, while readmission to ICU for ventilation (OR 3.11, 95% CI 1.17-8.25) and receiving a tracheostomy (OR 7.83, 95% CI 2.22-27.6) were associated with laryngotracheal complications. CONCLUSIONS: The incidence of long-term laryngotracheal complications following cardiac surgery was 2.2%. Readmission to ICU for ventilation and having a tracheostomy performed were associated with laryngotracheal complications.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.000 | 0.001 |
| 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".