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Record W4407802860 · doi:10.2106/jbjs.oa.24.00059

The Effects of Antibiotic-Impregnated Spacers on Bone Healing in an Animal Model of the Induced Membrane Technique

2025· article· en· W4407802860 on OpenAlexaff
Hening Sun, Charles Godbout, Gareth Ryan, Ismail Tawakol Ali, James P. Higgins, Graeme Hoit, Jeremy Hall, Mansur Halai, Amir Khoshbin, Emil H. Schemitsch, Aaron Nauth

Bibliographic record

VenueJBJS Open Access · 2025
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Infections and Treatments
Canadian institutionsWestern UniversityUniversity of TorontoSt. Michael's Hospital
FundersOrthopaedic Trauma Association
KeywordsTobramycinMedicineBone healingAntibioticsRadiographyX-ray microtomographyBone graftingNuclear medicineSurgeryGentamicinRadiologyChemistry

Abstract

fetched live from OpenAlex

Background: Surgeons performing the induced membrane technique (IMT) often incorporate antibiotics into the spacer at the first stage of the surgical procedure to prevent or treat infection. However, the effect of antibiotic use on subsequent bone healing is not clear. This study aimed to investigate if antibiotic-impregnated spacers impact subsequent bone healing in a rat model of the IMT. Methods: Inbred male rats (Fischer 344) were randomly divided into 3 groups according to the antibiotic dose in the spacer: (1) control (no antibiotics), (2) low-dose (1.2 g tobramycin and 1.0 g vancomycin per 40 g of polymethylmethacrylate [PMMA]), and (3) high-dose (3.6 g tobramycin and 3.0 g vancomycin per 40 g of PMMA). We created a 5-mm segmental defect in the right femoral diaphysis. The bone was stabilized with a plate and screws, and the assigned spacer was inserted into the defect. Four weeks later, the spacer was removed and bone graft was placed within the defect. Radiographs made 12 weeks after grafting were scored according to union status and degree of bone healing. Micro-computed tomographic (CT) analysis and biomechanical testing were also performed at 12 weeks. Results: Full radiographic union was achieved in 10 (83%) of 12 control animals, 13 (100%) of 13 low-dose animals, and 8 (62%) of 13 high-dose animals (high-dose compared with low-dose: risk ratio, 11.0; p = 0.039). The control group demonstrated higher bone volume compared with the high-dose group (mean difference, 9.0 mm 3 ; p = 0.039), and there was a trend toward higher bone volume in the low-dose group compared with the high-dose group (mean difference, 8.1 mm 3 ; p = 0.06). The biomechanical results demonstrated that maximum stiffness was significantly higher in the low-dose group compared with the high-dose group (mean difference, 14.1 N*mm/degree; p = 0.009). Conclusions: Our results demonstrated that low doses of antibiotics in PMMA spacers used for the IMT did not impair bone healing. However, high doses of antibiotics demonstrated inferior bone healing. Clinical Relevance: The addition of high-dose antibiotics to the PMMA spacers used for the IMT may result in impaired bone healing and should be used with caution.

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)0.000
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.035
GPT teacher head0.405
Teacher spread0.370 · 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
Published2025
Admission routes1
Has abstractyes

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