Ribavirin aerosol in hospitalized adults with respiratory distress and <scp>COVID</scp>‐19: An open‐label trial
Bibliographic record
Abstract
There is an unmet medical need for effective treatments for hospitalized patients with coronavirus disease 2019 (COVID-19). Ribavirin is a broad-spectrum antiviral with demonstrated in vitro activity against multiple viruses, including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This trial evaluated the potential of ribavirin inhalation solution (ribavirin aerosol) to reduce COVID-19 disease severity in adults with confirmed SARS-CoV-2 infection and a diagnosis of respiratory distress. This phase I, multicenter, open-label, nonrandomized trial was conducted from February 2021 through August 2021. Patients received ribavirin aerosol (100 mg/ml for 30 min or 50 mg/ml for 60 min) twice daily for up to 6 days. The primary end point was change from baseline in clinical status severity, rated on a 7-point scale (1 [death]; 7 [not hospitalized; no limitations on activities]), at day 7 (or end-of-treatment/early termination) and day 30 (follow-up). Fifty-one patients were treated with ribavirin aerosol (mean age, 51.5 years; 78.4% men); mean number of doses was 9.7 (range, 1-12). Improvement of ≥1 level in clinical status severity was observed in 31.4% (16/51) and 78.4% (40/51) of patients at end-of-treatment and day 30, respectively. Of 21 patients who required a ventilator, 16 (76.2%) were able to discontinue ventilator use. Five patients (9.8%) died between end-of-treatment and day 30. Three patients (5.9%) discontinued study treatment due to adverse events. No deaths were considered related to study treatment. These data provide preliminary evidence that ribavirin aerosol may be an efficacious treatment for respiratory distress in adults with 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".