Intravenous fosfomycin as salvage therapy for osteomyelitis caused by multidrug-resistant <i>Pseudomonas aeruginosa</i>
Bibliographic record
Abstract
PURPOSE: A case of osteomyelitis caused by multidrug-resistant (MDR) Pseudomonas aeruginosa is reported. SUMMARY: An 84-year-old Caucasian male with an underlying history of type 2 diabetes, peripheral vascular disease, and coronary artery disease had chronic nonhealing wounds on his right foot. Wound care and a course of intravenous (IV) ertapenem with oral ciprofloxacin were ineffective. His initial wound culture grew Staphylococcus aureus, group G streptococcus and P. aeruginosa; the Pseudomonas was susceptible to multiple agents. The patient eventually required midtarsal amputation and angioplasties to his right leg. Twenty days after the operation, 2 openings were discovered at the surgical site, 1 of which was probed to the bone. He was readmitted 5 weeks after the operation. A repeat wound swab grew MDR P. aeruginosa and Finegoldia magna. The Pseudomonas was susceptible to gentamicin and colistin. The patient had revision of the infected amputation site with the goal of salvaging his right lower limb. The patient developed acute renal failure after 26 days of IV gentamicin, IV ceftriaxone, and oral metronidazole. Additional susceptibility testing was performed to identify alternatives. The bacteria were considered susceptible to IV fosfomycin, the last resort, by our microbiology laboratory. This was combined with ceftolozane/tazobactam followed by meropenem to treat the residual infection. After 2 weeks of IV fosfomycin, the patient's wound improved and further amputation was avoided. CONCLUSION: Our case demonstrates that IV fosfomycin may provide an effective salvage therapy when combined with β-lactams for the treatment of severe diabetic foot infection or osteomyelitis caused by MDR P. aeruginosa.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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".