Novel Poxvirus Infection in an Immune Suppressed Patient
Bibliographic record
Abstract
BACKGROUND: Human and animal poxvirus infections are being reported with increasing frequency. We describe a challenging case history and treatment of a previously unknown poxvirus rash illness in a renal transplant patient. METHODS: A combination of classical microbiology techniques, including viral culture and electron microscopy, were used to provide initial clinical diagnosis. Subsequent standard polymerase chain reaction assays available in 2001 were noncontributory. Next generation sequencing was used to provide definitive diagnosis. RESULTS: Retrospectively, next generation sequencing methods were used to ultimately provide the definitive diagnosis of a novel poxvirus infection initially identified by electron microscopy. The closest relative of this poxvirus, identified in North America, is a poxvirus collected from a mosquito pool from Central Africa in 1972. CONCLUSIONS: This diagnostic quandary was ultimately solved using next generation DNA sequencing. This article describes the use of classical and next generation diagnostic strategies to identify etiologic agents of emerging infectious diseases and once again demonstrates the susceptibility of immunossupressed patients to novel pathogens. The virus identified is closely related to Yoka virus; these viruses appear to have independently diverged from a common ancestor of all known orthopoxviruses.
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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 | 0.003 |
| 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".