Effects of Starch Volume Expanders on Blood Viscosity and Vascular Endothelial Markers
Bibliographic record
Abstract
The intravenous fluid of choice for acute blood volume replacement remains controversial. We focus here on the two hydroxyethyl (HES) available in Canada: HES 130/0.40 (Voluven®) and HES 260/0.45 (Pentaspan®). Although information regarding their pharmacokinetic and risk/benefit profiles are available, how the infusion of these fluids could affect blood viscosity and vascular endothelial function in humans is largely unknown. Dynamic viscosity was measured at 21°C and 37°C through capillary viscometry. The HES solutions were driven through a closed flow loop at room temperature (21°C). Viscosity at 21°C was 7.62 centipoise (cP) for HES 260/0.45 and 2.73 cP for HES 130/0.40 decreasing to 4.23 cP for HES 260/0.45 and 1.72 cP for HES 130/0.40 at 37°C. Analysis of viscous behaviour through pipe flow found that HES 260/0.45 displayed marginal variations in viscosity suggesting Newtonian behaviour across our range of Re measured. HES 130/0.40 displayed an appreciable increase in viscosity at higher Re suggesting the presence of shear thickening behaviour. Human aortic endothelial cells (HAEC) and human microvascular endothelial cells (HMVEC) were exposed to the HES solutions and saline to identify chemical effects on vascular endothelium. Western blot quantification showed that E-selectin was the leukocyte adhesion receptor that was most strongly affected, and this was not dose dependent. Interestingly, HAEC and HMVEC had different responses to HES treatment, suggesting that different vascular tissues may have different outcomes to HES infusion. Protein expression in HMVEC decreased when exposed to both HES solutions.
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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 | 0.000 |
| 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) | 0.000 | 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".