Peristomal Moisture-Associated Skin Damage Treatment: Use of Cyanoacrylate Liquid Skin Protectant
Bibliographic record
Abstract
BACKGROUND: Despite recent advances in ostomy care, the incidence of stoma and peristomal skin complications including peristomal moisture-associated skin damage (MASD) remains as high as 80% of patients living with ostomies. We evaluated a cyanoacrylate liquid skin protectant (CLSP) for the treatment and healing of peristomal MASD in patients with an ileostomy, ileal conduit, or colostomy. CASES: Five patients (24-85 years old) with peristomal MASD related to an ileostomy (n = 2), ileal conduit (n = 2), or colostomy (n = 1) were evaluated in this case study. All were treated with a CLSP in an attempt to reduce peristomal MASD caused by effluent leakage, which resulted in painful denudation of the peristomal skin. All patients received 1 to 2 applications of the CLSP prior to replacement of the pouching system. Prior to CLSP application, patients underwent assessment focusing on the causes of ostomy pouching system undermining and leakage. Interventions to prevent recurrent undermining and leakage, usually focused on modifications of the pouching system, were completed when indicated. CONCLUSIONS: For these 5 patients, complete resolution of peristomal MASD was observed at 2 to 8 days following CLSP treatment. More severe peristomal MASD cases required 7 to 8 days for complete resolution while less severe peristomal MASD resolved within 2 to 3 days. Patients showed less frequent pouching system changes, healing of peristomal skin, and reduced peristomal MASD associated with the CLSP treatment and addressing underlying etiology. On a pain scale of 0 to 10, patients reported less pain with an average of more than 7 out of 10 prior to the CLSP treatment and less than 4 out of 10 after treatment.
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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) | 0.000 | 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) | 0.000 | 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".