Massive Pericardial Effusion as a Cause for Sudden Deterioration of a Very Low Birthweight Infant
Bibliographic record
Abstract
We describe the successful resuscitation of a very low birthweight infant after sudden deterioration caused by a massive pericardial effusion. The neonatal course of this 740 gm, 26-week gestational age infant had been complicated by moderate respiratory distress syndrome, apnea, and bronchopulmonary dysplasia. A Silastic catheter was placed percutaneously in the right axillary vein on day 6 of life and documented to be in the superior vena cava prior to continuous parenteral nutrition. On day 38, her cardiorespiratory status abruptly deteriorated, blood return could not be obtained from the central line, and it was removed. Chest radiograph and subsequent echocardiogram confirmed a massive pericardial effusion. Under echocardiographic guidance, an emergency percutaneous pericardiocentesis allowed aspiration of 23 ml of straw-colored fluid. Her vital signs immediately returned to normal and reaccumulation of the effusion did not occur. Despite the high mortality of premature infants from pericardial effusion as a complication of central venous catheterization, early diagnosis and prompt therapy can assure a good outcome. As a cause of sudden deterioration of very low birthweight infants, tamponade must not be forgotten, since it is now a rapidly treatable complication of central venous cannulation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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 source (direct Gemma or distilled Codex), 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".