Distinct Morphological Types of Small Airway Obstructions in Smokers with Emphysema and End-Stage Chronic Obstructive Pulmonary Disease
Bibliographic record
Abstract
Abstract Rationale The precise nature of small airway obstructions in chronic obstructive pulmonary disease (COPD) remains poorly understood, especially at early disease stages. Objectives This study aimed to characterize small airway obstructions and numbers up to the terminal bronchioles (TBs) in smokers with limited emphysema and end-stage COPD. We hypothesized that obstruction subtypes would differ in morphology, nature, and number from early to end-stage COPD. Methods Whole lungs were inflated and processed from seven control donors (control: declined for extrapulmonary reasons); from eight donors with a history of smoking, of whom three had <5% emphysema (smokers with no emphysema) and five had >5% emphysema (smokers with emphysema); and from eight patients with end-stage COPD. Micro–computed tomography of tissue was used to assess number of TBs, aerated TBs, and number and type of obstructions and was cross-correlated with histopathology. Measurements and Main Results Obstructions were mainly present in smokers with emphysema and patients with COPD, resulting in less aerated TBs. On the basis of emphysema extent, more nonaerated TBs were present in regions with no emphysema than in regions with mild emphysema; however, destruction was more prominent in mild emphysema. Multiple types of obstructions were identified, comprising occlusions, webs, and collapses. In smokers with emphysema, obstructions primarily comprised webs and occlusions, whereas all obstruction types were present in COPD. On histopathology, obstructions were identified as mucus plugs. Conclusions Multiple types of obstruction characterized as mucus plugs were identified in smokers with emphysema and patients with end-stage COPD. Their morphology, nature, and number evolved from smokers with emphysema to end-stage COPD. A shift from obstruction-dominant dysfunction to destruction-dominant pathology was found in smokers on the basis of emphysema presence.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".