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Record W4206886074

Case Series of Perioral Dermatitis Caused by Improper Use of Activated Oxygen.

2021· article· en· W4206886074 on OpenAlexaff
Michael Roberts, David B Roy, Marcus Goodman, Gagandeep S Grewal

Bibliographic record

VenuePubMed · 2021
Typearticle
Languageen
FieldMedicine
TopicMedical and Biological Ozone Research
Canadian institutionsSKiN Health
Fundersnot available
KeywordsMedicineErythemaIrritationDermatologySurgeryAnesthesia
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Activated oxygen is an important chemical for disinfecting surfaces. In the last 10 years, it has become increasingly common in continuous positive airway pressure (CPAP) devices. OBJECTIVE: We sought to treat three cases of perioral dermatitis with concomitant use of CPAP devices. METHODS: Three patients presented to the clinic with the complaint of a burning and stinging skin irritation involving the bilateral malar cheeks. Physical exam revealed symmetric, scaling, well-demarcated, erythematous, and slightly indurated areas of skin involving the bilateral malar cheeks. Corticosteroids were prescribed and provided little relief. In all three cases, the CPAP masks were worn within one hour of completing the sanitizing cycle. Each patient was instructed to lengthen the time between completion of the sanitizing cycle and application of the mask to a minimum of four hours. RESULTS: All patients had resolution of their symptoms within two weeks of the modification, measured by subjective resolution and photodocumentation with resolution of erythema and scaling. CONCLUSION: Ozone follows common gas laws such that its decay time can be considered in terms of half-life. Ozone requires approximately 1,524 minutes (25.4 hours) to decay one-half life when other factors are controlled. The activated oxygen containers are a fixed environment that could be causing increased O₃ residue on the CPAP machines. The residual O₃ reacts with the natural oils on the insdividual's skin to cause perioral dermatitis.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.157
Threshold uncertainty score0.620

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.093
GPT teacher head0.278
Teacher spread0.185 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2021
Admission routes1
Has abstractyes

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