556. Ruxolitinib for the Management of Severe Pneumonia Caused by SARS-CoV-2. Exploring the Combination with dexamethasone
Bibliographic record
Abstract
Abstract Background Mexico is one of the top five countries with a higher mortality rate of hospitalized patients of 30.1%. Since COVID-19 has been associated with immune dysregulation and hyper inflammation, JAK-12 inhibitors have been tested to reduce IL6 production. Studies have shown improvements when using ruxolitinib (rxb) in severely hospitalized patients with COVID-19. These have included patients in combination with corticosteroids such as dexamethasone (dxm). This work aims to test the response of hospitalized patients with severe or critical COVID-19 treated with rxb with or without dxm. Methods An experimental, open, prospective study in a single third-level hospital in Mexico was performed. The primary outcome was favorable clinical response defined as withdrawal or decline of supplementary oxygen. Secondary outcomes such as mean hospital stay, improvement in systemic inflammatory response parameters, and mortality were also evaluated. Statistical differences for baseline and final measure and the use and not use of dxm were estimated. The study included adults with SARS-CoV-2 infection confirmed with polymerase chain reaction, radiological pneumonia, and oxygen saturation less than 90%. Rxb was administered 5mg/12hrs/15days, IV dxm 6mg/day/10days. Results The final sample was 108 adults with complete information and informed consent. Sixty-two patients (57%) received only rxb. There were no differences between groups for any parameter at the beginning of treatment, and all patients were receiving supplemental oxygen. After 28-day follow-up, 70% reduce supplemental oxygen requirement (74% rxb and 71% rxb+dxm; p=0.628), 18% remained, and 2% increases support (1% with rxb, and 5% rxb+dxm; p< 0.001); 87% of patients were discharged (89% rxb and 85% rxb+dxm; p=0.603). In both groups, there was a significant reduction of CRP, LDH, and Ferritin on day 15. The mortality rate was 9% (no difference in groups; p=0.453), and a higher proportion died for Pseudomonas aeruginosa superinfection in the rxb+dxm group (p< 0.001). Differences for support oxygen at baseline and discharge Final health outcomes of patients with severe or critical COVID-19 in a third-level hospital in Mexico Conclusion The use of rxb could be considered as a treatment helping clinical improvement in hospitalized patients with severe COVID-19. Combination with dxm apparently did not add clinical benefits. It should be further evaluated. Disclosures All Authors: No reported disclosures
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".