Cellular and Molecular Characteristics of RSV-Induced Disease in Humans
Bibliographic record
Abstract
Human Respiratory Syncytial Virus Infection 98 obstruction), wheezing (bronchiolar involvement) and rales/ronchi (crepitations, alveolar involvement) (Freymuth et al, 2001;Rietveld, 2003).Thus, in a 13-year prospective study in infants and children in the United states, RSV was detected in 43%, 25%, 11% and 10% of paediatric hospitalisations for bronchiolitis, pneumonia, bronchitis and croup, respectively (Collins and Graham, 2008).RSV-LRTI can vary from mild to severe, the latter requiring admission to the intensive care unit (ICU) since the patients often need respiration support.Furthermore, Wang et al (1995) observed that among children hospitalised with RSV-LRTIs, 0.9% were associated with fatal cases.However, the mechanisms leading to either an URTI or a LRTI upon RSV infection are still not well understood and require further investigation.In order to facilitate a better understanding of severe RSV-induced diseases, this chapter will review the histopathology of RSV fatal cases, the cellular responses to infection and the factors associated with the severity of the illness in humans. Histopathology of fatal RSV casesSince its isolation in 1956 several reports have investigated the histopathology associated with fatal cases of RSV in children (
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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 | 0.000 |
| 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) | 0.005 | 0.003 |
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".