Remimazolam for Sedation During Magnetic Resonance Imaging in a Toddler With an Acute COVID-19 Infection
Bibliographic record
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has led to a global surge in hospitalizations due to pneumonia and respiratory distress. As with other infectious medical conditions, the perioperative care of a patient with an active or recent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection must address concerns regarding both the healthcare providers and the patient. SARS-CoV-2-positive patients face a higher risk of pulmonary complications and significantly higher rates of mortality, especially in those with preoperative respiratory symptoms. We present the use of the novel benzodiazepine, remimazolam, to provide sedation in a 9-month-old child with a fever of 106 ¡ãF who required sedation and anesthetic care during magnetic resonance imaging following a seizure. The basic pharmacology of remimazolam is discussed, previous reports of its use for procedure sedation are reviewed, and dosing regimens are presented. Int J Clin Pediatr. 2024;13(3):101-104 doi: https://doi.org/10.14740/ijcp541
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".