Classical Presentation of Disseminated Blastomycosis in a 44-Year-Old Healthy Man 3 Months After Diagnosis of COVID-19
Bibliographic record
Abstract
BACKGROUND During the COVID-19 pandemic, the incidence of opportunistic infections, including fungal infections, has increased. Blastomycosis is caused by inhalation of an environmental fungus, Blastomyces dermatides, which is endemic in parts of the USA and Canada. This case report is of a 44-year-old man from the American Midwest who presented with disseminated blastomycosis infection 3 months following a diagnosis of COVID-19. CASE REPORT Our patient initially presented to an outpatient clinic with mild upper-respiratory symptoms. He tested positive for SARS-CoV-2 via polymerase chain reaction (PCR). Three months later, he presented to our emergency department due to some unresolved COVID-19 symptoms and the development of a widely disseminated, painful rash of 1-week duration. A positive Blastomyces urine enzyme immunoassay was the first indication of his diagnosis, which was followed by the identification of the pathogen via fungal culture from bronchoscopy samples and pathology from lung and skin biopsies. Given the evidence of dissemination, the patient was treated with an intravenous and oral antifungal regimen. He recovered well after completing treatment. CONCLUSIONS The immunocompetent status of patients should not exclude disseminated fungal infections as a differential diagnosis, despite the less frequent manifestations. This is especially important when there is a history of COVID-19, as this may predispose once-healthy individuals to more serious disease processes. This case supports the recent recommendations made by the U.S. Centers for Disease Control and Prevention (CDC) for increased vigilance regarding fungal infections in patients with a history of COVID-19.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".