Differential Molecular Modeling Predictions of Mid and Conventional Dialysate Flows
Why this work is in the frame
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Bibliographic record
Abstract
<b><i>Background:</i></b> High dialysate flow rates (Q<sub>D</sub>) of 500–800 mL/min are used to maximize urea removal during conventional hemodialysis. There are few data describing hemodialysis with use of mid-rate Q<sub>D</sub> (300 mL/min). <b><i>Methods:</i></b> We constructed uremic solute (urea, beta<sub>2</sub>-microglobulin and phosphate) kinetic models at varying volumes of distribution and blood flow rates to predict solute clearances at Q<sub>D</sub> of 300 and 500 mL/min. <b><i>Results:</i></b> Across a range of volumes of distribution a Q<sub>D</sub> of 300 mL/min generally yields a predicted urea spKt/V greater than 1.2 during typical treatment times with a small difference in urea spKt/V between a Q<sub>D</sub> of 300 and 500 mL/min. A larger urea KoA dialyzer and 15 min of additional time narrows the urea spKt/V difference. No substantial differences were observed regarding the kinetics of beta<sub>2</sub>-microglobulin and phosphate for Q<sub>D</sub> of 300 vs. 500 mL/min. <b><i>Conclusion:</i></b> A Q<sub>D</sub> of 300 mL/min can achieve urea clearance targets. Hemodialysis systems using mid-rate Q<sub>D</sub> can be expected to provide adequate hemodialysis, as currently defined.
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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 it