The Effects of Chlorhexidine Graft Decontamination on Tendon Graft Collagen and Cell Viability
Bibliographic record
Abstract
BACKGROUND: Chlorhexidine (CLX) has been reported as a popular and effective disinfectant of contaminated tendon grafts with no biomechanical sequelae; however, its biochemical effects on tendon collagen and fibroblasts remain unknown. PURPOSE: To determine whether CLX disinfection of contaminated tendon grafts has deleterious effects on tendon collagen or a toxic effect on fibroblast function. STUDY DESIGN: Controlled laboratory study. METHODS: Collagen fibrils prepared from purified bovine collagen type I were treated with various CLX concentrations (0.5%-4%) and incubation times (10-40 minutes), and the effects on fibril degradation and solubility were then examined using gel electrophoresis. Fresh bovine tendons were treated with sterile water or 2% CLX; then, fibroblast mobility and metabolic activity were evaluated using light microscopy and Alamar Blue assay, respectively. RESULTS: No effect on collagen fibrils was observed when they were exposed to 0%, 0.5%, or 2% CLX at any exposure time. However, 4% CLX dissolved the fibrils even after short incubation times. Fibroblasts migrated out from the control tendon explants but not from explants treated with 2% CLX, and a 5-fold reduction in metabolic activity was observed throughout the tendon in explants exposed to 2% CLX, suggesting that CLX penetrated and killed cells throughout the tissue. CONCLUSION: Four-percent CLX caused collagen fibrils to dissolve in vitro, and tendon graft disinfection with 2% CLX was cytotoxic to the cells. CLINICAL RELEVANCE: Because of its chemical effect on tendon collagen and cytotoxic effect on tendon fibroblasts, 4% CLX should not be used as a disinfectant. Two-percent CLX can be used to disinfect contaminated ACL grafts, but such treatment will drastically reduce the metabolic activity of the cells within the graft, making it similar to an acellular allograft tendon.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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".