Comprehensive rehabilitation in chronic heart failure - Better psycho-emotional status related to quality of life, brain natriuretic peptide concentrations, and clinical severity of disease
Bibliographic record
Abstract
PURPOSE: To evaluate the effects of a comprehensive outpatient rehabilitation program in chronic heart failure (CHF) on quality of life (QoL) in relation to emotional status and clinical severity of disease. PATIENTS AND METHODS: 25 patients with CHF were included in the 12-week comprehensive rehabilitation program. Initially, and at the end of the program, patients underwent graded cardio-pulmonary exercise testing, echocardiography, and determination of brain natriuretic peptide (BNP) concentration. In addition, they were assessed using: The Minnesota Living with Health Failure Questionnaire [MLHFQ]) for disease Specific QoL, the Hospital Anxiety and Depression Scale [HADS], and the State-Trait Anger Expression Inventory [STAXI]). RESULTS: After 12 weeks of rehabilitation improvements in NYHA class, left ventricular ejection fraction (LVEF), and peak oxygen consumption were found, while mean BNP concentrations did not change. Disease specific QoL demonstrated improvements in physical component and the total score. Relative improvement of psycho-emotional scores correlated positively with relative improvement of disease specific QoL. In patients with LVEF > or =30% at baseline, changes in BNP concentration were positively associated with both anxiety and state anger, and with the emotional component score of MLHFQ. CONCLUSION: Improvements in disease-specific QoL were closely associated to improvements of psycho-emotional status and clinical severity of CHF.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".