Effect of systemic ozone therapy added to pharmacological treatment on brain-derived neurotrophic factor (BDNF) and cognitive status in post-COVID patients
Bibliographic record
Abstract
BACKGROUND: Treatment is required for post-COVID cognitive impairment associated with functional limitations, reduced work capacity, and significant deterioration in quality of life. Pharmacological treatment is ineffective. In this context, physical therapy, especially systemic ozone therapy with potential neuroprotective effects, appears promising. AIM: The aim of the study was to evaluate the effect of systemic ozone therapy added to pharmacological treatment on plasma brain-derived neurotrophic factor (BDNF) levels and cognitive status in patients with post-COVID cognitive impairment. MATERIALS AND METHODS: A total of 140 patients aged 18-45 years with post-COVID asthenic syndrome were evaluated and treated. They were randomized into two groups: an experimental group with 70 subjects who received systemic ozone therapy in addition to pharmacological treatment and the comparator group with 70 subjects who received pharmacological treatment only. Pre- and post-treatment outcomes were assessed using plasma BDNF levels and the Montreal Cognitive Assessment (MoCa) score. RESULTS: Statistically significant differences in BDNF levels (р=0.034) and MoCa scores (р=0.002) were found between the compared groups at the end of therapy (day 30). In our study, adding systemic ozone therapy to pharmacological treatment in patients with post-COVID cognitive impairment normalized BDNF levels and completely improved clinical manifestations of cognitive impairment in 95% of subjects. CONCLUSION: Therefore, systemic ozone therapy can be considered as one of the effective and pathogenetically proven strategies for comprehensive treatment of patients with post-COVID cognitive impairment in the outpatient setting.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".