SOLUTE MASS TRANSFER AREA COEFFICIENTS IN A PERITONEAL DIALYSIS POPULATION
Bibliographic record
Abstract
The mass transfer properties of the peritoneal membrane are best characterized by solute mass transfer area coefficients (KBD). In this study we examined KBD values for urea, creatinine and glucose in 109 peritoneal dialysis patients. The following procedure was employed for the 145 test exchanges. Samples were drawn from the peritoneum for solute concentration measurement immediately following infusion of 2L of dialysate and at 15, 30, 60, 120, 180 and 240 min dwell time. The volume drained at the end of the 240 min exchange was measured and a blood sample taken for plasma solute concentration measurement. KBD values were extracted from these data employing Garred's simple model for peritoneal mass transfer. Mean KBD results ± standard deviation were:TableFour patients had 4 KBD evaluations spaced over time periods ranging from 18.4 to 42.4 months. The repeated KBD values for all patients were consistent and did not demonstrate any long term change in peritoneal mass transfer capacity. Plotting urea KBD versus glucose KBD demonstrated a proportional relationship between the two: The proportionality coefficient of 1.78 is close to the 1.73 constant predicted from diffusion theory (KBD inversely proportional to square root of molecular weight). The linear relationships found when creatinine KBD was plotted versus KBD for urea and glucose (R = 0.73, 0.88) had an unexpected negative intercept. These results indicate the variability of KBD among peritoneal dialysis patients and may be useful for kinetic modeling.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".