Adverse Drug Events and Associated Factors in Heart Failure Therapy Among the Very Elderly
Bibliographic record
Abstract
INTRODUCTION: Heart failure (HF) is common in older adults and standard therapy involves the use of multiple medications. We assessed the nature, frequency, and factors associated with adverse drug events (ADEs) associated with standard HF therapy among older adults greater than 75 years of age. The efficacy and predictors of ADEs were assessed in this patient population, as well. METHODS: Systematic review using standardized databases including MEDLINE, Ageline, and CINAHL from January 1st 1988 to January 1st, 2010 and references from published literature. Randomized trials and studies with observational, cohort, and cross-sectional design were included. Two investigators independently selected the studies and extracted the data (kappa = 0.86). RESULTS: Twenty-five studies were identified. ADEs were reported in 13/23 (57%) studies. Syncope, bradycardia, and hypotension as a result of beta blockers occurred in greater frequency compared to younger populations. Spironolactone therapy resulted in increased rates of hyperkalemia, acute renal failure, and medication discontinuation. Factors associated with ADEs included advanced age, poor left ventricular function, and increasing New York Heart Association Class. Efficacy of beta blockers and ACE inhibitors appears to extend to the elderly population, but the magnitude of effect size is unclear. Very few studies reported associations between ADE and patients' comorbidities (4/13 studies, 31%) or functional status (3/13 studies, 23%). CONCLUSION: ADEs in CHF therapy among the very elderly occurred at a greater frequency, but were generally poorly characterized in the literature despite a relatively common occurrence. Further studies are warranted.
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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 | 0.008 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".