Diagnostic value of serum antibodies in early <i>Pseudomonas aeruginosa</i> infection in cystic fibrosis patients
Bibliographic record
Abstract
Specific serum antibodies could be helpful in defining the status of Pseudomonas aeruginosa infection as well as the response to early intervention treatment in patients with cystic fibrosis (CF). We used 1,791 serum samples from 375 European CF patients with known respiratory microbiology status to define titers of P. aeruginosa antibodies directed against alkaline protease (AP), elastase (ELA), and exotoxin A (ExoA). Pseudomonas antibody titers were also measured in a separate cohort of 56 patients undergoing antibiotic treatment for eradication of P. aeruginosa. At a specificity of 97.5%, the sensitivity was highest for antibodies against AP (85.4%), followed by ELA (76.2%) and ExoA (72.0%). AP, ELA, or ExoA antibody titers were significantly higher (P < 0.001) in patients chronically infected with P. aeruginosa compared to patients with negative cultures. The sensitivity of the combined three ELISAs was higher than that for any single ELISA alone. Based on the newly defined cut-off levels, positive serum antibody titers against at least one of the three antigens were present in 43% of patients with new onset of P. aeruginosa infection. Longitudinal assessment of antibody titers assessed before and after inhaled antibiotic therapy in patients with first P. aeruginosa isolation showed a significant decrease in antibody titers against AP and ExoA in patients clearing P. aeruginosa infection, whereas titers increased in patients in whom antibiotic therapy failed to eradicate the organism. Antibody testing against AP, ELA, and ExoA offers high sensitivity and specificity for the presence of P. aeruginosa in respiratory cultures of CF patients. Although serum antibody titers are on average low at the time of first P. aeruginosa isolation from respiratory specimens, they may be useful to monitor response to therapy. However, because variability between patients is considerable, treatment decisions should not be based on P. aeruginosa antibody levels alone.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".