Forced oscillation technique used for monitoring of covid-19 pneumonia
Bibliographic record
Abstract
<b>Background:</b> Forcrd oscillation technique (FOT) is a non-invasive method for investigation of lung mechanics without active participation of the patient. The objectives of the study were to find out whether FOT method could be used for monitoring of covid-19 pneumonia (CVP) course and how FOT indices correlate with other, commonly used indicators of disease severity. <b>Methods:</b> During the hospital stay and 3 months after the discharge from hospital repeated measurements of lung mechanics were performed with portable device Tremoflo-100 (Thorasys, Canada). <b>Results:</b> Most relevant differences between disease stages reflected the lung reactance indices - Fres and AX. Indices characterizing the airflow resistance didn’t reach the significance level. Correlation analysis also was performed between FOT indices and CT score, body mass index (BMI), patients age, blood CRP and ferritin levels, duration of hospital stay and patients oxygen demand (FiO2). Significant correlations were found only between the last two. The highest significance showed Fres % pred and AX % pred. Fres correlated to FiO2 with R=0,498 and p-0,0000004, but AX% with r=0,502 <b>Conclusions:</b> The study has shown that FOT method reflects the changes in lung mechanics occurring during acute phase and recovery period from covid-19 pneumonia. FOT indices correlate with patients oxygen demand and hospital stay-time.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".