Mild hypothermia is associated with altered volume kinetic parameters of an intravenous crystalloid fluid bolus in healthy isoflurane-anesthetized cats
Bibliographic record
Abstract
OBJECTIVE: To assess the impact of mild hypothermia on the distribution and elimination of an IV crystalloid fluid bolus in healthy anesthetized cats using volume kinetic (VK) analysis. METHODS: 10 adult cats were anesthetized and included in a prospective, randomized, cross-over study. The subjects were maintained either normothermic (38.3 ± -16.9 °C) or mildly hypothermic (35 ± -16.9 °C), with a 7-day washout period between anesthetic episodes. All cats received 20 mL/kg of a balanced isotonic solution (Normosol-R) IV over 20 minutes, following the achievement and stabilization of target temperature. Hemoglobin concentration, PCV, and urinary output were measured at established time points and served as input variables for VK analysis. RESULTS: Hypothermia was associated with a larger central compartment volume (Vc); higher body weights were associated with an increased Vc and a decreased elimination rate; higher end-tidal isoflurane concentration (ETISO) was associated with an increased Vc and a higher distribution rate constant. Heart rate, blood pressure, and ETISO were significantly lower in the hypothermic group. No statistically significant difference was observed in urinary output between groups. CONCLUSIONS: Body weight, temperature, and ETISO were significant covariates affecting VK parameters. Hypothermia did not induce cold diuresis but was associated with an increase in Vc. The negative relationship between body weight and the elimination rate constant requires further verification. Hypothermia was associated with lower heart rate and blood pressure despite reduced ETISO. CLINICAL RELEVANCE: Hypothermia was associated with smaller plasma volume expansion from fluid bolus. Fluid dosing based on ideal body weight should be considered to avoid overdosing.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".