Pathophysiology of Muscle in Pulmonary and Cardiovascular Conditions
Bibliographic record
Abstract
Purpose: To provide an overview of skeletal muscle pathophysiology in pulmonary and cardiovascular conditions commonly managed by physical therapists. Summary of Key Points: This review describes the muscle pathophysiology associated with congestive heart failure, chronic obstructive pulmonary disease, interstitial lung disease, cystic fibrosis, intensive care unit–acquired weakness, immobilization, and aging. Causes of poor muscle performance are multifactorial; disease-specific and generic factors can contribute to the etiology. The time course of deterioration of peripheral and ventilatory muscle may each follow a distinctive course dependent on disease severity, its progression, and other influencing factors. Generic factors that are common in many respiratory and cardiovascular conditions are systemic inflammation and oxidative stress leading to peripheral and ventilatory muscle dysfunction that is accentuated by reduced physical activity. Loss of muscle function associated with aging is also reflected in both peripheral and ventilatory muscles. Evidence of how exercise training can counter the deleterious effects of disease on physical function is outlined. Statement of Conclusions: Patients with pulmonary and cardiovascular conditions may experience atrophy and weakness due to macroscopic, cellular, and metabolic alterations. Physical therapy interventions to improve muscle function need to consider the potential reversibility and related time course of the underlying pathophysiology of muscle dysfunction.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".