Intravenous injection of methylprednisolone reduces the incidence of postextubation stridor in intensive care unit patients*
Bibliographic record
Abstract
OBJECTIVE: To determine whether treatment with corticosteroids decreases the incidence of postextubation airway obstruction in an adult intensive care unit. DESIGN: Clinical experiment. SETTING: Adult medical and surgical intensive care unit of a teaching hospital. PATIENTS: One hundred twenty-eight patients who were intubated for >24 hrs with a cuff leak volume <24% of tidal volume and met weaning criteria. INTERVENTIONS: : Patients were randomized into a placebo group (control, n = 43) receiving four injections of normal saline every 6 hrs, a 4INJ group (n = 42) receiving four injections of methylprednisolone sodium succinate, or a 1INJ group (n = 42) receiving one injection of the corticosteroid followed by three injections of normal saline. Cuff volume was assessed 1 hr after each injection, and extubation was performed 1 hr after the last injection. Postextubation stridor was confirmed by examination using bronchoscopy or laryngoscopy. MEASUREMENTS AND MAIN RESULTS: The incidences of postextubation stridor were lower both in the 1INJ and the 4INJ groups than in the control group (11.6% and 7.1% vs. 30.2%, both p < .05), whereas there was no difference between the two treated groups (p = .46). The cuff leak volume increased after the second and fourth injection in the 4INJ group and after a second injection in the 1INJ group compared with the control group (both p < .05). CONCLUSIONS: A reduced cuff leak volume is a reliable indicator to identify patients at high risk to develop stridor. Treatment with a single or multiple injections of methylprednisolone can effectively reduce the occurrence of postextubation stridor.
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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 | 0.000 | 0.003 |
| 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 | 0.000 |
| 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 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".