Possibilities of personalized pharmacotherapy and medical rehabilitation of patients with long COVID from the perspective of clinical metabolomics
Bibliographic record
Abstract
Introduction . The material presents the results of the study of the effectiveness of the drug Ethylmethylhydroxypyridine malate in patients with long COVID, based on the dynamics of clinical manifestations and metabolomic parameters responsible for the level of oxidative stress. Aim . Evaluation of efficacy and registration of adverse reactions of ethylmethylhydroxypyridine malate administration to decrease oxidative stress level and reduce symptoms of asthenia and cognitive disorders in patients with long COVID. Materials and methods . 24 patients diagnosed with U09.9 “Condition after COVID-19 unspecified” were included in a non-randomized controlled prospective study, Patients were divided into 2 groups of 12 each. The experimental group received Ethylmethylhydroxypyridine malate tablets chewable 100 mg in a dosage of 400 mg/day. Clinical assessment by scales (mMRC dyspnea scale; 6-minute walk test (6MWT); MFI-20 subjective asthenia assessment scale; Montreal Cognitive Assessment Scale (MoCA); Barthel Baseline Functional Activity Rating Scale), and determination of metabolomic parameters were performed on days 1 and 14–18 of the study. Results . Use of the drug ethylmethylhydroxypyridine malate in patients with long COVID, led to a decrease in the level of oxidative stress, and normalization of mitochondrial function, as well as more pronounced improvements of the clinical picture. According to the scale of evaluation of asthenia (MFI-20) in the group of patients who received ethylmethylhydroxypyridine malate improvement of 21% was noted, in the control group improvement of 13% was noted. According to cognitive impairment assessment scale (MoCA), the drug group showed 20% improvement, while the control group showed 12,5% improvement. Conclusion . The drug ethylmethylhydroxypyridine malate tablets chewable 100 mg in a dosage of 400 mg/day demonstrates clinical efficacy characterized by, among other things, a decrease in oxidative stress, as well as clinical safety due to the absence of development of adverse reactions in patients with long COVID.
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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 | 0.009 | 0.097 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".