Additive Effect of Dornase Alfa and Nacystelyn on Transportability and Viscoelasticity of Cystic Fibrosis Sputum
Bibliographic record
Abstract
OBJECTIVE: To investigate the effect of dornase alfa (DA), Nacystelyn (NAL) and their combination on mucociliary transportability and mucus viscoelasticity of cystic fibrosis (CF) sputum, and to assess whether the combination possesses an additive effect. DESIGN: Determination of transportability in frog palate and viscoelasticity in vitro. SETTING: Research laboratory at a medical centre. PATIENTS: Sputa from 15 patients with CF, chronically infected with Pseudomonas aeruginosa, were studied. INTERVENTIONS: Sputum samples were incubated without any drug solution as a control, and with normal saline, DA, NAL and a mixture of DA and NAL in concentrations approximating those achieved in clinical practice. RESULTS: Normal saline (10% volume) by itself had a small effect on CF sputum transportability with a mean increase of 9%, and on viscoelasticity with a mean of decrease of 0.22 log units, respectively, compared with control (incubation without saline). DA (200 nM) further increased the transportability by a mean of 35% versus saline and decreased viscoelasticity by a mean of 0.30 log units. NAL (100 M) increased the transportability by a mean of 32% and decreased viscoelasticity by a mean of 0.22 log units from the levels achieved with saline. The mixture of DA plus NAL at one-half of the above concentration of each agent produced an additional increase in the transportability, by a mean of 18%, and a further decrease in viscoelasticity, by a mean of 0.25 log units, compared with DA or NAL as a single treatment. CONCLUSIONS: The combination of DA and NAL exhibits an additive effect for both the viscoelasticity and transportability of CF sputum samples. The two agents appear to act well together in breaking down the bonding due to extracellular DNA and mucins. Clinical studies should be undertaken to see whether the additive combination at lower concentration produces the anticipated benefits of improved airway clearance and fewer side effects.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".