Pharmacotherapy for chronic heart failure
Bibliographic record
Abstract
BACKGROUND: Heart failure is a chronic and progressive disorder which results due to inability of the heart to pump adequate blood to meet up the metabolic demands of the body. Detecting patients with heart failure could be simple but rather complex of clinical decisions as presentation could be classical or non-specific with minimal symptoms and orsigns. Management is aimed at relieving symptoms, improving quality of life, preventing hospitalisation and arresting disease progression thus prolonging survival. In addition to pharmacologic measures, non-pharmacologic ones are also employed. METHOD: Relevant literature was reviewed using medical journals and also via internet. The key words employed were: Heart failure, Chronic heart failure, Diuretics, Vasodilators, Angiotensin receptor blockers (ARBS) and Angiotensin converting enzyme inhibitors (ACEI). The National Heart, Lung and Blood Institute, Canadian Cardiovascular Society, American College of Cardiology websites were also used in the course of this review. RESULTS: This review was able to support the use of betablockers, ACEI, ARBS, digitalis, diuretics, vasodilators and aldosterone antagonists in the management of chronic heart failure. CONCLUSION: The objectives of drug therapy in heart failure includes the short-term goals of stabilising the patient, improving haemodynamic function and conferring symptomatic improvement, as well as the long-term goal of limiting disease progression, decreasing hospital re-admission rates and improving survival. The cause needs to be established and aggravating factors identified (and where possible treated). Most of the drugs, if not all, are used in combination with one another to achieve maximal therapeutic goal. Use of some drugs could be entertained as an add-on therapy depending on any co-existing medical condition.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 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".