Dynamic Changes in Clinical Features and Cytokine/Chemokine Responses in Sars Patients Treated with Interferon Alfacon-1 plus Corticosteroids
Bibliographic record
Abstract
Severe acute respiratory syndrome (SARS), caused by a novel coronavirus, emerged in early 2003 as a major international health crisis. We report on serum cytokine levels, viral load and clinical parameters over the course of the disease in a cohort of nine adult SARS patients treated with steroids and interferon alfacon-1 at North York General Hospital in Toronto, Ontario. Considerable variation among SARS patients with respect to circulating viral load and patterns of SARS-CoV-evoked cytokine responses was recorded. No single cytokine profile was observed in all patients, yet serum concentrations of interferon (IFN)-gamma, interleukin (IL)-10, CXCL10, CCL5 and CXCL8 were found to be elevated above normal levels during the course of the disease in all patients. Expression levels for IL-10, IFN-gamma and CXCL10 consistently peaked within 4 days of peak viral load. IL-12p70, IL-4 and tumour necrosis factor-alpha concentrations were consistently highest within 5 days of peak viral load. These results suggest that elevated levels of inflammatory cytokines are sensitive correlates of disease severity, including lung abnormalities and viral load in serum, and may provide a tool for monitoring disease progression in affected individuals.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".