Posttraumatic <i>Pseudomonas aeruginosa</i> Osteomyelitis in Mosul and Gaza: A Retrospective Cohort Study, 2018–2022
Bibliographic record
Abstract
Abstract Background The history of conflicts in the Middle East has resulted in a high burden of complications from conflict-related wounds like posttraumatic osteomyelitis (PTO). This is particularly challenging to manage in settings like Mosul, Iraq and Gaza, Palestine, where healthcare systems are weakened. In nonconflict settings, PTO caused by Pseudomonas aeruginosa (PAPTO) can lead to &gt;20% of treatment failures. We aim to describe the clinical characteristics, outcomes, and management, in PAPTO patients admitted to Médecins Sans Frontières (MSF) facilities in Mosul and Gaza between 1 April 2018 and 31 January 2022. Methods We conducted a retrospective cohort study on patients with PAPTO diagnosed with culture of intraoperative bone biopsy, using routinely collected data. Results Among 66 PAPTO episodes from 61 enrolled patients, 37.9% had a multidrug-resistant Pseudomonas aeruginosa, with higher antibiotic resistance in Gaza. Polymicrobial infections were prevalent (74.2%), mainly involving Staphylococcus aureus (74.1%), being predominantly methicillin-resistant (95.0%). Overall, 81.7% received appropriate antibiotic treatment, with monotherapy used in 60.6% of episodes and a median treatment duration of 45.5 days. Recurrence was observed in 24.6% of episodes within a median of 195 days (interquartile range, 64–440 days). No significant differences were found in recurrence rates based on the type of antibiotic treatment (mono- or dual therapy) or episode (mono- or polymicrobial). Conclusions Management of PAPTO in the conflict-affected, low-resource settings of Mosul and Gaza achieved a recurrence rate aligned with global reports through appropriate and targeted antibiotic use, primarily in monotherapy, provided over a mean treatment duration of 45.5 days.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 teacher head, 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".