Therapeutic Drug Monitoring of Daptomycin
Bibliographic record
Abstract
BACKGROUND: Daptomycin dose is adjusted to body weight and renal function and is usually not guided by therapeutic drug monitoring. Daptomycin plasma concentration measurement was established at our institution in January 2009 and is now increasingly being used. The aim of this study was to describe and characterize variability in daptomycin exposure during routine clinical therapy. METHODS: We collected daptomycin plasma concentrations that were measured at our institution during the period January 2009-July 2012. Additional clinical and demographic data and their association with daptomycin exposure were tested by a multilevel linear regression analysis. RESULTS: A total of 332 daptomycin plasma concentrations were determined in 86 patients. Sixty-six percent (n = 218) of all determinations were trough concentrations (Cmin), and 34% (n = 114) were peak concentrations (Cmax). Cmin ranged 2-68 mg/L (median, 16.7 mg/L), and Cmax 20-236 mg/L (median, 66.2 mg/L). A significant positive association of total dose, albumin, creatinine and a significant negative association of dose interval and intermittent hemodialysis with Cmin were found in the regression analysis. Total dose and intensive care unit (ICU) stay were significantly associated with Cmax (P < 0.05). However, only 28% (P < 0.005) of Cmin variability and 8% (P = 0.08) of Cmax variability were explained by the factors included in the analysis. CONCLUSIONS: Daptomycin plasma concentrations are often unpredictable as shown by highly variable drug exposure that is only partially explained by dose administered and underlying renal function.
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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 | 0.001 | 0.000 |
| 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) | 0.000 | 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".