Efficiency of New Smart Instillation Technology With Negative Pressure Wound Therapy in Managing Complex Chronic and Surgical Wounds: A Case Series
Bibliographic record
Abstract
BACKGROUND: Use of negative pressure wound therapy with instillation and dwell time (NPWTi-d) of a topical wound solution has been limited in some settings due to perceptions of setup complexity. Typically, some guesswork was needed to estimate an adequate volume of solution to instill without causing leaks. A novel smart technology is recently available in certain NPWTi-d systems that automatically estimates and instills a solution volume according to wound dimensions. OBJECTIVE: To report experience with this smart instillation NPWTi-d system technology in managing 4 complex wounds containing large areas of devitalized tissue and/or yellow fibrinous slough. MATERIALS AND METHODS: NPWTi-d was applied via a reticulated open cell foam dressing with through holes (ROCF-CC). The smart instill button was selected to automatically determine a volume of topical solution to instill, followed by a 10-minute dwell time and 2-hour cycle of -125 mm Hg negative pressure. RESULTS: The average NPWTi-d duration was 17.0 days, and no air or solution leaks occurred during therapy. Dressings were changed 3 times per week. All wounds were converted to clean granulating wounds during therapy. CONCLUSION: In this case series, smart technology simplified setup and facilitated regular cleansing and removal of devitalized tissue through the ROCF-CC dressing.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".