First description of cases of superficial mycoses caused by the resistant to allylamines (terbinafine) «Indian» species of dermatophytes — Trichophyton indotineae, in Russian dermatovenereological practice
Bibliographic record
Abstract
Background. Trichophyton indotineae appeared as a new type of dermatophytes causing treatment-resistant skin infections. The first mentions of T. indotineae came from India. Currently, the causative agent has spread in many parts of the world and is rapidly becoming a global healthcare problem. The precise identification of T. indotineae requires complex mycological examinations that transcend routine microbiological testing. Material and methods. Routine laboratory methods, namely KOH microscopy, mycological culture, as well as molecular biological investigation methods were used for the diagnosis of dermatomycoses and species-level identification of fungi. Results and conclusions. The appearance and prevalence of T. indotineae has significantly changed the classical approach to the management of patients with dermatomycosis worldwide. Two clinical observations, namely the first in the Russian Federation description of the skin lesions with genetic confirmation of the causative agent’s belonging to T. indotineae species and its resistant mutation to allylamines — Phe397Leu in the gene encoding squalene epoxidase, have been presented. Patients had a long-term (more than 2 years) pathological process that did not respond to therapy with various options of standard treatment regimens by both topical and systemic drugs. Further development of molecular diagnosis with species-level identification of T. indotineae and detection of mutations in SQLE should be one of the priority directions in domestic medical mycology, considering the increasing prevalence of resistant strains worldwide.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".