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Record W2567565419 · doi:10.1093/ofid/ofw172.149

Pharmacodynamics of Ceftriaxone and Alternatives as Outpatient Antimicrobial Therapy for Methicillin-Susceptible Staphylococcus aureus Infections

2016· article· en· W2567565419 on OpenAlexaffabout
Sheryl Zelenitsky, Nathan P. Beahm, Robert E. Ariano, Harris Iacovides, George G. Zhanel

Bibliographic record

VenueOpen Forum Infectious Diseases · 2016
Typearticle
Languageen
FieldMedicine
TopicAntibiotics Pharmacokinetics and Efficacy
Canadian institutionsUniversity of AlbertaUniversity of ManitobaSt. Boniface Hospital
Fundersnot available
KeywordsMedicineCeftriaxoneStaphylococcus aureusAntimicrobialPharmacodynamicsMethicillin-resistant Staphylococcus aureusStaphylococcal infectionsIntensive care medicineInternal medicineAntibioticsMicrobiologyPharmacokineticsBacteria

Abstract

fetched live from OpenAlex

Background. Due to convenient dosing, ceftriaxone (CRO) is used as outpatient antimicrobial therapy (OPAT) even when broad coverage is not required. Its use to treat methicillin-susceptible Staphylococcus aureus (MSSA) infections is largely accepted based on high susceptibility rates. With actual MIC distributions, however, the activity of CRO may be inadvertently reduced especially with once-daily dosing. Our goal was to use an integrated pharmacokinetic-pharmacodynamic (PKPD) analysis to study CRO and alternatives in OPAT for MSSA infections. Methods. Monte Carlo simulation was used to create cohorts of 5000 subjects. The CRO, cefazolin (CFZ), and, if contraindicated, alternatives such as vancomycin (VAN), linezolid (LZD) and daptomycin (DAP) were tested using published PK models to simulate free (ƒ) plasma concentrations in a relevant patient population (75 ± 10 kg, ClCr 50 to 100 mL/min/72 kg). Robust MIC distributions were based on data from 6490 MSSA isolates collected from 13 Canadian hospitals (2007–2015). Predicted target attainment for CRO and CFZ was percentage of simulated subjects that achieved >55%ƒT > MIC (stasis), >75%ƒT > MIC (1–2 log kill) and 100%ƒT > MIC (cidal) based on literature values and our previous in vitro PD modeling studies. PD targets for the alternatives were AUC/MIC >400 for VAN, >80 for LZD, and >400–800 for DAP. Cumulative target attainment (CTA) was considered optimal when PD targets were achieved in >90% of subjects. Results. The mean PK parameters were CRO (Vd 12.8 L, t½ 9.2 h), CFZ (Vd 11.3 L, t½ 3.2 h), VAN (CL 4.5 L/h), LZD (CL 6.8 L/h), DAP (CL 0.8 L/h), and MIC distributions (MIC50, MIC90) were CRO (4, 4 mg/L), CFZ (0.5, 1 mg/L), VAN (1, 1 mg/L), LZD (2, 2 mg/L), DAP (0.25, 0.25 mg/L). Optimal CTA for stasis required twice-daily CRO, but was achieved with once-daily CFZ. Ceftriaxone 2 g q24h reached PD targets for stasis, 1–2 log kill and cidal activity in 86%, 46%, and 17% of simulated subjects, respectively, whereas CFZ 2 g q24h attained these targets in 96%, 50%, and 15% of cases. For the alternatives, AUC/MIC targets were achieved in 81% and 100% of subjects with VAN 1 g q12h and 1.5 g q12h, respectively, in 77% of cases with LZD 600 mg q12h and in 96% with DAP 4 mg/kg q24h. Conclusion. Based on actual MIC distributions of MSSA, the predicted PD activity of once-daily CRO was lessened and actually inferior to once-daily CFZ. These findings highlight the limitations of CRO in OPAT for MSSA infections. Disclosures. All authors: No reported disclosures.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.022
GPT teacher head0.343
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes2
Has abstractyes

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