The Future of Surfactant Therapy during ALI/ARDS
Bibliographic record
Abstract
The importance of pulmonary surfactant in maintaining normal lung function, and the observations that alterations in endogenous surfactant contribute to the lung dysfunction associated with acute lung injury (ALI) and the acute respiratory distress syndrome (ARDS), provide a rationale for administering exogenous surfactant in this setting. The results of clinical trials have been variable, however, in part due to the various surfactant preparations used, the different delivery and dosing methods employed, and the types of patients targeted for this therapy. Based on the insight gained from these studies, ongoing trials have modified these factors to optimize outcome, including one trial that is focusing on patients with direct lung insults such as pneumonia and aspiration. The future of surfactant therapy may well take advantage of the recently described host defense functions of this material. Based on extensive in vitro data as well as in vivo animal studies demonstrating the anti-inflammatory and antibacterial functions of various surfactant components, administration of surfactant earlier in the course of the disease, when lung inflammation is present but before severe lung dysfunction occurs, may prove to be optimal. This review discusses both the biophysical and host defense functions of surfactant in the context of novel therapeutic approaches for patients with ALI/ARDS.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".