Treatment of coronavirus disease 2019-associated mucositis in adolescents: A case report and brief literature review
Bibliographic record
Abstract
Reactive Infectious Mucocutaneous Eruption is an acute mucocutaneous inflammation secondary to an infection with minimal to absent cutaneous features that has recently been linked to the Severe Acute Respiratory Syndrome Coronavirus-19 (SARS-CoV-19 virus). Unfortunately, the relative rarity of case reports of Reactive Infectious Mucocutaneous Eruption in paediatric populations has led to fewer known successful treatment options with the current mainstay being systemic immunosuppression (e.g. corticosteroids, cyclosporine and etanercept). In this case report, we discuss a case of an adolescent patient with (polymerase chain reaction) PCR+ coronavirus disease 2019 infection and an oral eruption without cutaneous symptoms. He was treated successfully using a single dose of dexamethasone and supportive care through amorphous hydrogel (Intrasite gel), thus providing a safe, cheap and effective treatment option in mild coronavirus disease 2019-associated Reactive Infectious Mucocutaneous Eruption in paediatric patients. We also discuss the current findings, diagnostic terms and treatment options of mucosal manifestations of coronavirus disease 2019 in children.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".