DAILY HEMOFILTRATION WITH A SIMPLIFIED METHOD OF DELIVERY
Bibliographic record
Abstract
Observational studies of daily hemodialysis (HD) and intermittent hemofiltration (HF) therapy have been associated with improved outcomes for patients with endstage renal disease. We conducted a prospective study to evaluate the feasibility of daily HF as an alternative to intermittent HD using a simplified HF system (NxStage Medical). Each patient received 1 week of intermittent HD followed by 4 weeks of daily HF. Ringers lactate was used as the initial replacement solution; however, Hemosol LG2/L0 was used subsequently to simplify patient management. Changes in quality of life, nutrition, and laboratory values were assessed. Seven patients have completed 168 HF treatments with Hemosol. Their treatment time on HD was 232 minutes 3 days per week, and 132 minutes on HF 6 days per week. Single pool Kt/V per treatment for HD was 1.69 compared with 0.44 for HF (standard Kt/V 2.38 vs 1.93). Despite these weekly differences in urea clearance, potassium, calcium, phosphate, and nutrition remained stable. Beta-2 microglobulin tended to decline. All parameters of the Kidney Disease Quality of Life Instrument Short Form (KDQOL-SF) either remained stable or improved. In addition, blood pressure declined, allowing for a reduction in the number of antihypertensive medications. In summary, these preliminary data suggest that daily HF with this system is safe, simple, efficacious, and could potentially be used as a home based renal replacement therapy.
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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 | 0.000 | 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) | 0.001 | 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".