Crusted Scabies as a Suitable Disease for Teledermatology: A Study of 2 Cases
Bibliographic record
Abstract
Background Teledermatology has been available for several years now, but the COVID-19 pandemic has highlighted its importance, especially in remote communities. Crusted scabies (CS) presents a unique clinical picture that favors telediagnosis. Patients with neurological diseases, as well as homeless, HIV-infected patients and people with impaired immunological function, are at risk. Clusters of CS have been reported in French Guyana, and these were associated with human T-lymphotropic virus infections. CS has also been reported in Aboriginal Australian communities. Objective Teledermatology is especially useful in cases of CS, as it is a disease that affects areas that are in need of medical services. At the same time, CS presents a unique clinical picture. The objective of this presentation is to fuel the clinical suspicion and detection of patients with this debilitating condition. Methods Relatives of patient 1 contacted our clinic for teledermatology appointments. General practitioners from health services sent images of the second patient. Results Case 1 involved an older woman living in a nursing home with Alzheimer disease, which was severe enough to constrain her to bed. We recommended that her relatives (who had sent images) collect skin scrapings in a container. These scrapings were sent to a clinical analysis laboratory where microscopic potassium hydroxide preparation revealed the presence of Sarcoptes mites. Treatment with oral ivermectin and topical permethrin resulted in the complete resolution of the lesions. Case 2 involved a homeless, HIV-positive, 42-year-old male. The images were sent by clinicians from local health services. This patient was also treated with oral ivermectin and permethrin lotion. We recognize that this case would need further diagnostic workup, but it is highly indicative of CS. Conclusions CS is one of the most suited diseases for the practice of teledermatology for widespread, large, hyperkeratotic fissured plaques covered with abundant, silvery scales for which the expression “once seen, never forgotten” is highly applicable. These cases are gratifyingly simple to treat, and patients benefit from rapid clinical improvement. Prompt diagnoses prevent outbreaks of scabies for relatives and medical personnel, since these skin crusts contain large numbers of scabies mites. CS has been increasingly reported but poorly recognized, and it has often been misdiagnosed as psoriasis. Images, such as those shown in this presentation, are unique and are enough to raise strong clinical suspicion. Conflicts of Interest None declared.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".