The use of 25% human serum albumin: outcome and efficacy in raising serum albumin and systemic blood pressure in critically ill dogs and cats
Bibliographic record
Abstract
Abstract Objective: To report on the use of 25% human serum albumin (25% HSA) (Plasbumin®), associated outcome, and efficacy in raising serum albumin and systemic blood pressure (BP) in critically ill dogs and cats. Design: Retrospective clinical study. Animals: Client‐owned cats and dogs. Interventions: Administration of 25% HSA. Measurements and main results: The medical records of 66 animals (64 dogs, 2 cats) at the Ontario Veterinary College, which received 25% HSA (Plasbumin®) from June 1997 to December 2001 were reviewed for age, body weight, clinical problems, albumin and globulin (g/L) levels pre‐ and within 18‐hour post‐transfusion and upon discharge from hospital, total solids (TS), systolic and diastolic BP pre‐ and post‐transfusion total volume administered, adverse reactions, blood products and synthetic colloids used, and outcome. Twenty‐five percent HSA was prescribed for a range of clinical problems, which were grouped into 6 categories for analysis. The age range was 4 months–12 years and body weight range 1.4–65 kg. The maximum volume administered to any dog was 25 mL/kg, mean volume administered was 5 mL/kg, maximum volume given as a slow push or bolus was 4 mL/kg with a mean of 2 mL/kg volume. The range for a constant rate infusion (CRI) was 0.1–1.7 mL/kg/hr over 4–72 hours. Forty‐seven (71%) animals survived to discharge; 11(16%) were euthanized, and 8 (12%) died. Serum albumin and TS increased significantly ( P <0.0001) above pre‐transfusion levels as did systolic BP ( P <0.01). Conclusions: Twenty‐five percent HSA can be safely administered to critically ill animals, and an increase in albumin levels and systemic BP can be expected.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".