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Record W4412487859 · doi:10.1093/cid/ciaf387

Adjunctive Fosfomycin for the Treatment of <i>Staphylococcus aureus</i> Bacteremia: A Pooled Post Hoc Analysis of Individual Participant Data From 2 Randomized Trials

2025· article· en· W4412487859 on OpenAlexaff
Francesc Escrihuela-Vidal, Sean Wei Xiang Ong, Isabel Oriol, Sara Grillo, Miquel Pujol, Natàlia Pallarés, Cristian Tebé, Kuan Liu, José M. Miró, S. Tong, Jordi Carratalà

Bibliographic record

VenueClinical Infectious Diseases · 2025
Typearticle
Languageen
FieldMedicine
TopicAntimicrobial Resistance in Staphylococcus
Canadian institutionsSunnybrook HospitalUniversity of TorontoSunnybrook Health Science Centre
FundersInstituto de Salud Carlos IIIMedical Research CouncilInstitut d’Investigacions Biomèdiques August Pi i Sunyer, Universitat de BarcelonaGilead SciencesViiV HealthcareGenentechAstraZenecaNational Health and Medical Research CouncilPfizerCentro de Investigación Biotecnológica en Red de Enfermedades Infecciosas
KeywordsFosfomycinMedicinePost-hoc analysisPost hocBacteremiaStaphylococcus aureusClinical trialMethicillin-resistant Staphylococcus aureusRandomized controlled trialInternal medicineAntibioticsMicrobiologyBacteria

Abstract

fetched live from OpenAlex

BACKGROUND: The role of adjunctive fosfomycin in Staphylococcus aureus bacteremia (SAB) remains uncertain. METHODS: We performed a post hoc pooled analysis of individual participant data from the multicenter BACSARM and SAFO randomized controlled trials, which assessed fosfomycin combined with daptomycin or cloxacillin versus monotherapy for methicillin-resistant and methicillin-susceptible SAB. The primary outcome was treatment success at 8 weeks, defined as the patient being alive, without signs of relapse, and showing resolution of fever and improvement in clinical signs and symptoms of infection. Secondary outcomes included persistent bacteremia at days 3 and 7; all-cause mortality at days 14, 30, and 60; and adverse events leading to treatment discontinuation. Bayesian and frequentist methods were used to estimate treatment effects, with the primary Bayesian analysis using a minimally informative prior centered on no treatment effect. RESULTS: The intention-to-treat population comprised 369 participants, of whom 178 received fosfomycin combination therapy and 191 received monotherapy. The primary Bayesian analysis showed a 91.8% posterior probability that fosfomycin improves treatment success at 8 weeks (median relative risk [RR], 1.10 [95% credible interval {Crl}, .97-1.26]) with sensitivity analyses (using pessimistic, skeptical, and optimistic priors) yielding probabilities between 75.8% and 97.2%. Fosfomycin was associated with a significant reduction in persistent bacteremia at day 3 (median RR, 0.19 [95% CrI, .07-.41]) and day 7 (median RR, 0.22 [95% CrI, .03-.84]). The adjusted frequentist analysis demonstrated an association between fosfomycin combination therapy and treatment success at 8 weeks (RR, 1.04 [95% confidence interval {CI}, 1.02-1.06]; P < .001). Combination therapy was associated with a higher risk of adverse events (RR, 2.03 [95% CI, 1.13-3.63]; P = .017). CONCLUSIONS: Adjunctive fosfomycin may improve early bacterial clearance and treatment success in SAB but at the cost of increased toxicity. Clinical Trials Registration. NCT06695832.

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)0.113
metaresearch head score (Gemma)0.120
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.597

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1130.120
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0100.034
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.159
GPT teacher head0.444
Teacher spread0.285 · 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 designMeta-analysis
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

Citations3
Published2025
Admission routes1
Has abstractyes

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