Is ‘Cardiopulmonary’ the New ‘Cardiometabolic’? Making a Case for Systems Change in COPD
Bibliographic record
Abstract
Chronic obstructive pulmonary disease (COPD) and cardiovascular disease (CVD) have a syndemic relationship with shared risk factors and complex interplay between genetic, environmental, socioeconomic, and pathophysiological mechanisms. CVD is among the most common comorbidities in patients with COPD and vice versa. Patients with COPD, irrespective of their disease severity, are at increased risk of CVD morbidity and mortality, driven in part by COPD exacerbations. Despite these known interrelationships, CVD is underestimated and undertreated in patients with COPD. Similarly, COPD is an independent risk-enhancing factor for adverse cardiovascular (CV) events, yet it is not incorporated into current CV risk assessment tools, leading to under-recognition and undertreatment. There is a pressing need for systems change in COPD management to move beyond symptom control towards a comprehensive cardiopulmonary disease paradigm with proactive prevention of exacerbations and adverse cardiopulmonary outcomes and mortality. However, there is a dearth of evidence defining optimal cardiopulmonary care pathways. Fortunately, there is a precedent to support systems-level change in the field of diabetes, which evolved from glycemic control to comprehensive multi-organ risk assessment and management. Key elements included integrated multidisciplinary care, intensive risk factor management, coordination between primary and specialist care, care pathways and protocols, education and self management, and disease-modifying therapies. This commentary article draws parallels between the cardiometabolic and cardiopulmonary paradigms and makes a case for systems change towards multidisciplinary, integrated cardiopulmonary care, using the evolution in diabetes care as a potential framework.
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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 | 0.014 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.015 |
| Scholarly communication | 0.008 | 0.012 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.022 | 0.031 |
| Insufficient payload (model declined to judge) | 0.004 | 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".