Intravenous Albumin Utilization: A Multi-Center Audit of 607,304 Admissions at 16 Hospitals
Bibliographic record
Abstract
Introduction: Despite the common administration of intravenous albumin to hospitalized patients, there are few randomized trials supporting its use to improve patient outcomes. According to the latest international ICTMG guideline for the use of intravenous albumin, there are currently no evidence-backed indications for the use of 5% albumin outside apheresis. Albumin can also be associated with adverse consequences including an increased risk of fluid overload and higher rates of bleeding at the time of surgery. The aim of this study was to determine albumin transfusion practices in a multicenter study of 16 hospitals. Methods: We performed a retrospective analysis of adults admitted to hospitals included in the GEMINI database from January 1, 2017 to June 30, 2022. GEMINI captures hospital admissions to general internal medicine, subspecialty medical wards, and intensive care units (ICU) in Ontario, Canada. Data collected by GEMINI include patient demographics and characteristics, albumin transfusion characteristics (type, volume of albumin), physician and institutional characteristics, and laboratory tests. We included inpatients captured in the GEMINI database who were 18 year of age at a hospital with valid data for albumin transfusions and procedures. Unadjusted descriptive analyses examined albumin utilization in admissions and transfusion events (defined as thetotal amount of albumin issued to a patient within one hour from the time of initial transfusion) across hospitals, subspecialties, and individual physicians. Additional effect size analyses explored the differences in the characteristics of admissions with and without albumin use and the proportion of 5% albumin use across hospital sites, excluding admissions with apheresis procedures and burns. Results: We included a total of 607,304 admissions across the 16 hospital sites. Of these admissions, 20,652 (3.4%) involved at least one albumin transfusion (range per hospital site 0.7%-9.1%). There were 101,980 albumin transfusion events, 52,038 (51.0%) in the ICU and 49,942 (49.0%) in a hospital ward, where a total of 112,354 albumin vials and 2.66 million grams of albumin were transfused. The median amount of albumin issued in grams per 1000 inpatient days was trending up over time (385g[2017], 366g[2018], 364g[2019], 452g [2020], 444g [2021], 409g [2022]). Patients who received albumin had a higher Charlson Comorbidity Index (median 2.0 vs. 1.0, p<0.001), longer inpatient stay (median 15 vs. 6 days p<0.001), higher proportion of ICU visits (64.9% vs. 19.9%, p<0.001), longer ICU length of stay (median 6.6 vs. 2.6 days, p<0.001), and higher in hospital mortality (34.5% vs. 7.1%, p<0.001) compared to patients that did not receive albumin. The three most transfused diagnoses were liver disease or liver failure (12.9%), heart disease or heart failure (12.4%), and sepsis (10.8%). Patients were most likely to be prescribed albumin if they were admitted under cardiac surgery (24.7%), gastroenterology (11.2%), and critical care (10.6%). The estimated cost of albumin at all 16 sites over the study period is $13,830,284 USD. Excluding patients who underwent an apheresis procedure or were admitted with burns, there was significant variability in the proportion of 5% albumin transfused between sites (range 0.3%-38.7%). Conclusion: This multicenter retrospective study found substantial variability in the non-apheresis use of 5% albumin across hospital sites. We found an overall upward trend in albumin use despite limited evidence for efficacy and concerns for safety. These findings may inform initiatives aimed at implementing evidence-based transfusion practices to reduce unnecessary albumin use, and direct future research investigating appropriateness of albumin prescribing.
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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 | 0.000 | 0.002 |
| 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) | 0.002 | 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".