Sustained Expression of Plasminogen Activator Inhibitor-1 in Patients Recovered From COVID-19 Disease
Why this work is in the frame
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Bibliographic record
Abstract
Objectives: The overexpression of plasminogen activator inhibitor-1 (PAI-1) was frequently observed during coronavirus disease 2019 (COVID-19), and it was found to be closely associated with disease severity. We have analyzed the PAI-1 status in fully recovered post-COVID patients. SUBJECTS AND METHODS: In a case-control and cross-sectional study, we compared 377 patients, 30-210 days after PCR-verified COVID-19 and 884 COVID-naive controls. RESULTS: Post-COVID patients ("cases") showed significantly higher plasma PAI-1 concentrations than COVID-naive controls. This difference remained significant even after complex adjustment by multiple regression. On the other hand, since the strongest covariate of increased PAI-1 was antihypertensive treatment, the difference between cases and controls in those who were on antihypertensives completely disappeared. In the subgroup of post-COVID patients only, we also found that highly symptomatic patients or those who required hospitalization in the acute phase showed significantly higher PAI-1 than patients with only mild symptoms of the disease. Similarly, the presence of β mutation increased the relative risk (≈11 times) of high post-COVID concentrations of PAI-1. Similarly, the presence of β mutation increased the relative risk (≈11 times) of high post-COVID concentrations of PAI-1. CONCLUSIONS: Increased values of PAI-1 can persist for several months after complete recovery from COVID-19 (namely, by β variant of the virus), and their expression also corresponded to clinical course of the disease. .
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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 | 0.014 |
| 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) | 0.000 | 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 it