Clinical presentation of malnourished patients with pneumonia requiring prolonged ventilatory support
Bibliographic record
Abstract
Background: Prolonged exposure to oxygen during ventilatory support is likely to generate physiological abnormalities in the lungs of critically ill infants with bronchopneumonia. The induced physiological changes could impact the growth of young infants and could promote morbidity and mortality of susceptible patients. This article addresses the relationship of prolonged ventilation, severity of infection and type of feeding with growth of young infants and how this could promote morbidity and mortality of susceptible patients. Methods: In this observational study, we assessed the clinical course of infectious pneumonia and its association with nutritional status, relative growth and lung functions of newborn and young infants with severe pneumonia requiring ventilatory support (group 1, N = 38). Patients were studied longitudinally to assess the association of weight and height z scores with blood proteins, ceruloplasmin and copper. Ventilated patients were compared with non-ventilated patients (group 2, N = 19) and healthy controls (C, N = 18). Results: On admission, patients exhibited statistically lower blood protein, ceruloplasmin and copper levels compared to controls. Prolonged exposure to oxygen in G1 patients induced a steady state of hypoalbuminemia compared to zero time. The groups differed with regard to growth characteristics, with patients in G1 tending to have lower z scores for weight and height than group 2 and controls. Recurrent infection rates and duration of ventilation were consistently worse among patients with indicators of malnutrition. Conclusion: Patients who administered supplemental oxygen via mechanical ventilation tended to have poorer nutritional status than patients who have not been ventilated and healthy controls.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".