Changes in Body Composition in Patients with Chronic Obstructive Pulmonary Disease: Do They Influence Patient-Related Outcomes?
Bibliographic record
Abstract
AIMS: The follow-up of the ECLIPSE study, a prospective longitudinal study to identify and define parameters that predict disease progression over 3 years in chronic obstructive pulmonary disease (COPD), allows the examination of the effect of body composition changes on COPD-related outcomes. METHODS: Body composition and health status were established in 2,115 COPD patients, 327 smoking and 239 nonsmoking controls at baseline and 3 years, while mortality was recorded in year 2 and 3 in the COPD patients. Associations between fat free mass index (FFMI) and fat mass index (FMI) changes to deterioration in health status and mortality were determined. RESULTS: Change in FFMI and FMI over 3 years was small and comparable between the groups. Underweight and obese patients had the worst health status. Worsening health status was associated with FFMI decrease in underweight patients and FMI increase in overweight/obese patients. While overweight patients had the lowest mortality, FFMI or FMI decrease was associated with a higher mortality. CONCLUSION: Changes in body composition over 3 years were small and comparable in COPD patients and control subjects. Nevertheless, muscle mass decline in underweight and fat mass increase in overweight/obese patients is associated with worsening health status. Overweight is associated with decreased mortality, but muscle mass and fat mass decline are detrimental for mortality.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".