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Record W2040829129 · doi:10.1097/ta.0b013e318239caaf

Management of contaminated open fractures

2012· article· en· W2040829129 on OpenAlexaff
Robert J. Gaines, Marlene DeMaio, Darren Peters, Jacob Hasty, James Blanks

Bibliographic record

VenueThe Journal of Trauma: Injury, Infection, and Critical Care · 2012
Typearticle
Languageen
FieldMedicine
TopicBone fractures and treatments
Canadian institutionsContinental (Canada)
Fundersnot available
KeywordsContaminationOpen fractureEnvironmental scienceMedicineSurgeryBiologyOrthopedic surgery

Abstract

fetched live from OpenAlex

BACKGROUND: Treatment of open fractures demands rapid intervention consisting of intravenous antibiotics, aggressive debridement, fracture immobilization, and soft tissue management including additional debridements and soft tissue coverage. Despite this approach, infection, particularly osteomyelitis, after open fracture continues to be a source of significant morbidity. Recent literature has provided several studies that performed clinical trials in superficial wounds. These investigations compared sterile solutions with tap water for wound decontamination. The results suggest that tap water washouts are cost-effective for these specific wounds. MATERIAL: An established protocol using sterile porcine hind limb tibias, as reported by Bhandari et al., was applied with modification. There were then 15 specimens and 5 controls (no irrigation) for each condition. The conditions were potable water and sterile water. A representative bacterium of gram-positive, Staphylococcus aureus, or gram-negative, Escherichia coli, acted as the contaminant. Sectioned, sterile porcine hind limb tibias were inoculated with 1 mL of a known concentration (1 × 10(10)) of bacterium and incubated. Each specimen was then irrigated, with bulb irrigation at a standardized distance of 15 cm, with 500 mL of irrigation. The specimen, along with 0.5 mL of wash (irrigant collected after it was placed over the specimen), was placed in 5 mL of Brain Heart Infusion broth. All specimens were incubated in this broth at 37°C for 2 hours. At 2 hours, a 100-μL supernatant was plated on blood agar plates and incubated for 24 hours. Colony counts for each specimen and controls were then performed. RESULTS: The number of colony forming units (CFUs) for each type of bacterium was different. The average CFUs from bone samples contaminated with E. coli was 5.18 × 10(8) after irrigation with sterile water and 6.24 × 10(8) after irrigation with tap water. The average CFUs from bone samples contaminated with S. aureus was 18 × 10(6) after irrigation with sterile water and 12 × 10(6) after irrigation with tap water. The average CFUs from the irrigation samples from E. coli contamination treated with sterile water was 1.3 × 10(6) and the CFUs from E. coli contamination treated with tap water was 2.2 × 10(6). The average CFUs from the irrigation samples from S. aureus contamination treated with sterile water was 1.57 × 10(6) and the CFUs from S. aureus contamination treated with tap water was 1.56 × 10(6). CONCLUSION: There was no significant difference between the CFUs for the sterile and potable water (p = 0.201) for each bacterium (p = 0.871).

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.021
GPT teacher head0.364
Teacher spread0.344 · 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 designNot applicable
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

Citations4
Published2012
Admission routes1
Has abstractyes

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