Physiological and functional failure in chronic obstructive pulmonary disease, congestive heart failure and cancer: a debilitating intersection of sarcopenia, cachexia and breathlessness
Bibliographic record
Abstract
PURPOSE OF REVIEW: Loss of skeletal muscle mass and cachexia are important manifestations of chronic obstructive pulmonary disease and have been associated with breathlessness, functional limitation and poor prognosis. A number of other life-limiting illnesses, including cancer and chronic heart failure as well as acute conditions seen in ICU such as sepsis, are characteristically associated with cachexia and sarcopenia. These conditions may have respiratory muscle atrophy of sufficient magnitude to contribute to the development of breathlessness and associated functional limitation. The purpose of this review is to summarize findings related to a direct role for severe respiratory muscle wasting in the etiology of breathlessness in advanced, life limiting illness. RECENT FINDINGS: Localized wasting of respiratory muscles appears to be part of systemic wasting of skeletal muscles, driven by deconditioning, nutritional insufficiencies and inflammation, and because of disease-specific factors (tumor factors and exacerbations), anabolic insufficiency, autonomic dysfunction, drugs (such as corticosteroids and chemotherapy agents), mechanical ventilation and comorbidities. Marked morphological and biochemical abnormalities have been noted in diaphragm muscle biopsies. SUMMARY: Older patients with multiple comorbidities associated with muscle loss and cachexia are likely to be at elevated risk of respiratory muscle atrophy and functional loss, because of the presence of multiple, interacting etiologic factors.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".