Daptomycin use in adult inpatients in a Canadian tertiary care setting
Bibliographic record
Abstract
Background: Daptomycin is approved by Health Canada for the treatment of Staphylococcus aureus bacteremia and complicated skin and soft tissue infections caused by gram-positive organisms, but is often used for other indications. We aimed to understand the indications, dosing, and safety profile of daptomycin use in a Canadian inpatient setting. Methods: We included consecutive adult patients who received intravenous daptomycin as inpatients from January 1, 2016, to December 31, 2016, at two tertiary care teaching hospitals in Hamilton, Ontario. Results: We identified 86 courses in 77 unique patients. S. aureus was the most common pathogen ( n = 38, 44%) of which 87% ( n = 33) were methicillin-resistant. The most common indications were bloodstream infections ( n = 31, 36%). The average treatment duration was 10 days, at an average dose of 7.4 mg/kg. The infectious diseases service was consulted in all but two courses. Less than half of treatment courses were given for an indication approved by Health Canada ( n = 41, 48%). Almost half of the unapproved indications ( n = 21, 47%) followed Infectious Diseases Society of America (IDSA) recommendations. Creatine kinase elevation of 3 × the upper limit of normal or higher occurred in a small number of courses ( n = 7, 8%), with only one instance requiring discontinuation of the drug. Conclusions: Daptomycin is being used to treat inpatients for a variety of unapproved indications. Importantly, a sizable portion of these are within IDSA guideline recommendations. Most patients are treated with doses higher than the approved 6 mg/kg without major safety concerns.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".