Prediction of extubation readiness using lung ultrasound in preterm infants
Bibliographic record
Abstract
We aimed to test the hypothesis that a lung ultrasound severity score (LUS) and assessment of left ventricular eccentricity index of the interventricular septum (LVEI) by focused heart ultrasound can predict extubation success in mechanically ventilated infants. We conducted a prospective study on premature infants less than 34 weeks' of gestation. LUS was performed on postnatal Days 3 and 7 by an investigator who was masked to infants' ventilator parameters. LVEI and pulmonary artery pressure (PAP) were measured at postnatal Day 3. A receiver operator curve was constructed to assess the ability to predict extubation success. Spearman correlation was performed between LVEI and PAP. A total of 104 studies were performed to 66 infants; of them 39 had mild and 65 had moderate-severe lung disease. LUS predicted extubation success with a sensitivity and a specificity of 91% and 69%, respectively. Area under the curve was 0.83 (CI: 0.75-0.91). LVEI did not differ between infants that succeeded and failed extubation. It correlated with PAP during systole (r = .66). We conclude that LUS predicts extubation success in mechanically ventilated preterm infants whereas LVEI correlates with high PAP.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".