Intravenous albumin utilization audit at a large community hospital
Bibliographic record
Abstract
BACKGROUND: There is a literature gap in terms of albumin utilization practices. METHODS/MATERIALS: We conducted a single-center retrospective observational electronic audit of adult admitted patients who received one or more vials of albumin (5% or 25%) between September 1, 2019 and August 31, 2020 at a large community hospital. The Research Ethics Board approval was obtained. Utilization data identified through the laboratory information system were independently adjudicated by two reviewers and resolved by consensus as appropriate-acceptable, appropriate-may be acceptable, or inappropriate. The primary objective of this audit is to determine the proportion of 5% and 25% intravenous albumin infusions meeting a priori appropriateness criteria for indication. Secondary outcomes include determining the patterns of practice surrounding intravenous albumin use: patient demographics, most responsible diagnosis, location at time of order, clinical outcomes of albumin recipients, and types, volumes, and cost of albumin infused. RESULTS: The mean total albumin administered was 569.2 mL across 456 total recipients (58% male) with a 29% appropriateness rate. This cohort had an in-hospital mortality rate of 38%, with an average of 6 days from first dose of albumin to death. The mean length of stay was 14 days, with a mean intensive care length of stay of 8 days. The purchase cost of inappropriately transfused albumin was CAD $65,538. CONCLUSION: Based on a lack of or an unacceptable indication provided, 71% of patients were inappropriately transfused. Albumin use deviating from guideline recommendations may be contributing to increased healthcare costs, pressure on limited supply, and potential patient harm.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 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".