AIDS-Related Endemic Mycoses in Western Cape, South Africa, and Clinical Mimics: A Cross-Sectional Study of Adults With Advanced HIV and Recent-Onset, Widespread Skin Lesions
Bibliographic record
Abstract
Abstract Background Skin lesions are common in advanced HIV infection and are sometimes caused by serious diseases like systemic mycoses (SM). AIDS-related SM endemic to Western Cape, South Africa, include emergomycosis (formerly disseminated emmonsiosis), histoplasmosis, and sporotrichosis. We previously reported that 95% of patients with AIDS-related emergomycosis had skin lesions, although these were frequently overlooked or misdiagnosed clinically. Prospective studies are needed to characterize skin lesions of SM in South Africa and to help distinguish these from common HIV-related dermatoses. Methods We prospectively enrolled HIV-infected adult patients living in Western Cape, South Africa, with CD4 counts ≤100 cells/μL and widespread skin lesions present ≤6 months that were deemed clinically compatible with SM. We obtained skin biopsies for histopathology and fungal culture and collected epidemiological and clinical data. Results Of 34 patients enrolled and in whom a diagnosis could be made, 25 had proven SM: 14 had emergomycosis, and 3 each had histoplasmosis and sporotrichosis; for 5 additional patients, the fungal species could not be identified. Antiretroviral therapy (ART) had been initiated in the preceding 4 weeks for 11/25 (44%) patients with SM (vs no patients without SM). Plaques and scale crust occurred more frequently in patients with SM (96% vs 25%, P = .0002; and 67% vs 13%, P = .01, respectively). Conclusions Recent ART initiation and presence of plaques or scale crust should make clinicians consider SM in patients with advanced HIV infection in this geographic area. Clinical overlap between SM and other dermatoses makes early skin biopsy critical for timely diagnosis and treatment.
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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) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".