Twice- and Thrice-daily Cephalexin Dosing for Staphylococcus aureus Infections in Children
Bibliographic record
Abstract
BACKGROUND: Cephalexin is used for the treatment of methicillin-susceptible Staphylococcus aureus (MSSA) infections in children. Although 4 times daily dosing is recommended, less frequent dosing regimens are often prescribed to improve treatment acceptability and adherence. We developed a population pharmacokinetic model of cephalexin in children to determine a twice-daily (BID) and thrice-daily (TID) cephalexin dosing regimen for MSSA infections. METHODS: A population pharmacokinetic model was developed using a nonlinear mixed effects modeling approach. The dataset used was from a prospective open-label pharmacokinetic study of orally administered cephalexin in 12 children 1-16 years of age with bone and joint infections. Simulations were performed to determine a BID and TID dosing regimen so that ≥90% of children in this age group would achieve the pharmacodynamic target for MSSA (ie, time that the free drug concentration exceeds the minimum inhibitory concentration of the bacteria for at least 40% of the dosing interval). RESULTS: The final model was 1 compartment with a transit compartment model to account for delay in oral absorption. For BID dosing, doses of 22-45 and 80 mg/kg were required for MSSA with minimum inhibitory concentrations of 1-2 and 4 mg/L, respectively. For TID dosing, the respective required doses were 15-25 and 45 mg/kg. CONCLUSIONS: Our study proposes a BID and TID cephalexin dosing regimen that can be prospectively evaluated. Through reducing the dose frequency of this widely prescribed antibiotic, we can reduce the medication burden for children and improve treatment compliance for MSSA infections.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".