22. Immune Response to Stenotrophomonas maltophilia in Cystic Fibrosis Patients
Bibliographic record
Abstract
Background: Stenotrophomonas maltophilia is one of the most common multidrug-resistant organisms isolated from the cystic fibrosis (CF) respiratory tract but it is unknown how it influences the long term clinical outcomes of CF patients. Objective/Hypothesis: To characterize the immune response to S. maltophilia and its association with clinical outcomes in CF patients over time. Methods: This was a longitudinal study from 2007-2014 of CF patients followed at The Hospital for Sick Children and St. Michael’s Hospital. All patients were classified as: 1) those with chronic S. maltophilia: ³2 positive cultures/year, 2) intermittent S. maltophilia: 1 positive sputum culture/year, and 3) no S. maltophilia cultures/year with and without chronic P. aeruginosa. IgG/IgA/IgM serologic responses were measured in serial sera samples by ELISA using whole cell S. maltophilia antigen. Results were calculated as the ratio of the average serum sample optical density to the average optical density of the negative control wells. Antibody levels for each patient were compared longitudinally to their rate of decline in FEV1 % predicted, body mass index, and rate of hospitalization. Results: S. maltophilia antibody levels were measured in 350 sera samples from 113 CF patients. Median baseline antibody levels were 1.56 (range 0.996-5.15) in chronic patients, 1.09 (range 0.907-3.79) in intermittent patients, and 1.12 (range 0.737-4.86) in patients with no S. maltophilia. Conclusions: Preliminary data suggests antibody levels to be significantly higher in patients with chronic S. maltophilia, and no significant difference between intermittent S. maltophilia and no S. maltophilia.
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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 | 0.001 | 0.002 |
| 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) | 0.002 | 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".