A Prospective Case Series of Pediatric Procedural Sedation and Analgesia in the Emergency Department Using Single‐syringe Ketamine–Propofol Combination (Ketofol)
Bibliographic record
Abstract
OBJECTIVES: This study evaluated the effectiveness, recovery time, and adverse event profile of intravenous (IV) ketofol (mixed 1:1 ketamine-propofol) for emergency department (ED) procedural sedation and analgesia (PSA) in children. METHODS: Prospective data were collected on all PSA events in a trauma-receiving, community teaching hospital over a 3.5-year period, from which data on all patients under 21 years of age were studied. Patients receiving a single-syringe 1:1 mixture of 10 mg/mL ketamine and 10 mg/mL propofol (ketofol) were analyzed. Patients received ketofol in titrated aliquots at the discretion of the treating physician. Effectiveness, recovery time, caregiver and patient satisfaction, drug doses, physiologic data, and adverse events were recorded. RESULTS: Ketofol PSA was performed in 219 patients with a median age of 13 years (range = 1 to 20 years; interquartile range [IQR] = 8 to 16 years) for primarily orthopedic procedures. The median dose of medication administered was 0.8 mg/kg each of ketamine and propofol (range = 0.2 to 3.0 mg/kg; IQR = 0.7 to 1.0 mg/kg). Sedation was effective in all patients. Three patients (1.4%; 95% confidence interval [CI] = 0.0% to 3.0%) had airway events requiring intervention, of which one (0.4%; 95% CI = 0.0% to 1.2%) required positive pressure ventilation. Two patients (0.9%; 95% CI = 0.0% to 2.2%) had unpleasant emergence requiring treatment. All other adverse events were minor. Median recovery time was 14 minutes (range = 3 to 41 minutes; IQR = 11 to 18 minutes). Median staff satisfaction was 10 on a 1-to-10 scale. CONCLUSIONS: Pediatric PSA using ketofol is highly effective. Recovery times were short; adverse events were few; and patients, caregivers, and staff were highly satisfied.
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 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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".