EXTENDED INTERVAL GENTAMICIN DOSING IN PRETERM INFANTS LESS THAN 35 WEEKS CORRECTED GESTATIONAL AGE
Bibliographic record
Abstract
Objective To confirm that gentamicin 5 mg/kg/dose every 48 hours in neonates less than 35 weeks corrected gestational age (CGA) results in the majority of gentamicin serum trough levels within the range of 0.5–2 mg/L and peak levels within the range of 6–12 mg/L. Design Prospective pharmacokinetic (PK) analysis. Setting Two neonatal intensive care units and one intermediate care unit in two tertiary care centres. Patients: Neonates less than 35 weeks CGA who received empiric gentamicin for sepsis between March 10 and June 10, 2014 in whom at least one gentamicin serum level was measured. Methods: PK analysis was performed following implementation of empiric dosing for gentamicin of 5 mg/kg every 48 hours in neonates. Results Mean Cl, t1/2 and V1 were 42±10 mL/kg/h, 10.0±1.8 h, and 0.58±0.09 L/kg, respectively (n=54). A one-compartment pharmacokinetic model best represented the data. The mean Cl of gentamicin at 24 h post dose was significantly lower in neonates. Conclusions Gentamicin 5 mg/kg q48h results in serum post dose levels between 6–12 mg/L 98% of the time compared to 5% of the time for once daily doses of 2.5 or 3 mg/kg. Gentamicin doses of 5 mg/kg q48h resulted in serum pre levels less than 0.5 mg/L 82% of the time (48 h post dose) compared to 9% of the time for once daily doses (24 h post dose). Increased clearance with advanced PNA suggests the need for more frequent dosing in neonates >14 days of age.
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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 | 0.001 | 0.006 |
| 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 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".