The Use of Topical Oxygen Therapy to Treat a Calciphylaxis Wound During a Global Pandemic: A Case Report.
Bibliographic record
Abstract
INTRODUCTION: Calciphylaxis is a rare, highly morbid pathological syndrome of vascular calcification and tissue necrosis. It is predominantly seen in patients with end-stage renal disease (ESRD) on chronic dialysis. There is no definitive standard of care for calciphylaxis, and the overall prognosis for patients, particularly those with ulcerated lesions, is bleak. One important role of wound care clinicians during the COVID-19 pandemic is to ensure that the continuity of care of an at-risk population is maintained while limiting the patient's potential exposure to the virus. Innovative therapies paired with alternative treatment sites of service are one such method. CASE REPORT: A 56-year-old female with ESRD on at-home peritoneal dialysis (PD) presented to the outpatient wound clinic with a punch biopsy-proven calciphylaxis lesion. Within days, state-wide "shelter-at-home" orders due to the COVID-19 pandemic went into effect. To prevent disruption in care and to minimize risk to the patient, the lesion was treated with bi-weekly self-application of a continuous topical oxygen therapy (cTOT) device paired with weekly telemedicine visits. The wound completely resolved after 9 weeks of topical oxygen therapy with no complications or device malfunctions. CONCLUSIONS: This case, to the authors' knowledge, is the first to document healing in a calciphylaxis wound with the use of cTOT. Topical oxygen therapy may be a beneficial adjunctive therapy in the treatment of wounds caused by calciphylaxis. Finding creative ways to navigate this current health care crisis is essential to help mitigate risk for vulnerable patients with advanced comorbidities.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.009 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".