Chronic obstructive airway disease among patients hospitalized with acute heart failure; clinical characteristics, precipitating factors, management and outcome: Observational report from the Middle East
Bibliographic record
Abstract
BACKGROUND: The purpose of this study was to report the prevalence, clinical characteristics, contributing factors, management and outcome of patients with chronic obstructive pulmonary disease (COPD) among patients hospitalized with heart failure (HF). METHODS: Data were derived from Gulf Care (Gulf acute heart failure registry), a prospective multicenter study of 5005 consecutive patients hospitalized with acute heart failure during February to November 2012 in seven Middle Eastern countries. Data were described and compared for demographics, management and outcomes. RESULTS: The prevalence of COPD among HF patients was 10%. COPD patients were older, more likely to be female and to have diabetes, hypertension, chronic kidney disease and sleep apnea (P = 0.001 for all) when compared to non-COPD patients. Contributing factors for hospitalization were systemic infection and atrial arrhythmias in COPD patients compared to acute coronary syndrome, uncontrolled hypertension and anemia in the non-COPD patients. Left-ventricular ejection fraction was higher in COPD patients; while BNP levels were comparable between the two groups. Non-invasive ventilation was used more frequently among COPD patients compared to non-COPD patients (P = 0.001). On multivariate logistic regression analysis, COPD was not associated with increased risk in-hospital and one-year death among acute heart failure (AHF) population and β blockers treatment appear to have neutral mortality effect in COPD patients with HF. CONCLUSION: COPD have distinct cardiovascular risk profile and precipitating factors for hospitalization with HF when compared to non-COPD patients. COPD history had no impact on the short-term and one-year 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".