Ozone therapy for patients with COVID-19 pneumonia: Preliminary report of a prospective case-control study
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Bibliographic record
Abstract
BACKGROUND: There is still no specific treatment strategies for COVID-19 other than supportive management. DESIGN: A prospective case-control study determined by admittance to the hospital based on bed availability. PARTICIPANTS: Eighteen patients with COVID-19 infection (laboratory confirmed) severe pneumonia admitted to hospital between 20th March and 19th April 2020. Patients admitted to the hospital during the study period were assigned to different beds based on bed availability. Depending on the bed the patient was admitted, the treatment was ozone autohemotherapy or standard treatment. Patients in the case group received ozonated blood twice daily starting on the day of admission for a median of four days. Each treatment involved administration of 200 mL autologous whole blood enriched with 200 mL of oxygen-ozone mixture with a 40 μg/mL ozone concentration. MAIN OUTCOMES: The primary outcome was time from hospital admission to clinical improvement. RESULTS: Nine patients (50%) received ozonated autohemotherapy beginning on the day of admission. Ozonated autohemotherapy was associated with shorter time to clinical improvement (median [IQR]), 7 days [6-10] vs 28 days [8-31], p = 0.04) and better outcomes at 14-days (88.8% vs 33.3%, p = 0.01). In risk-adjusted analyses, ozonated autohemotherapy was associated with a shorter mean time to clinical improvement (-11.3 days, p = 0.04, 95% CI -22.25 to -0.42). CONCLUSION: Ozonated autohemotherapy was associated with a significantly shorter time to clinical improvement in this prospective case-control study. Given the small sample size and study design, these results require evaluation in larger randomized controlled trials. CLINICAL TRIAL REGISTRATION NUMBER: NCT04444531.
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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 | 0.001 |
| 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 | 0.000 |
| 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 it