Daily home hemodialysis at a health maintenance organization: Three‐year experience
Bibliographic record
Abstract
Daily home hemodialysis (DHD), 5 to 7 short-duration hemodialysis treatments per week, promotes self-care and has beneficial effects on a number of clinical outcomes including blood pressure and volume control, electrolyte balance, uremic symptoms and sequelae, and quality of life. We sought to demonstrate that DHD is feasible and confers clinical benefits that permit savings in overall healthcare costs despite expenditures on program infrastructure and supplies. We examined the following outcomes monthly for all patients: laboratory values, dialysis adequacy, hospital admission records, surgical and interventional radiology records, and prescription medication usage. Twelve patients completed training in our home hemodialysis unit between April 2003 and April 2006. The mean age at the time of training was 58 years and mean vintage was 62 months. The mean treatment time was 147 min, and the mean number of treatments performed was 5.3 per week. When 1 patient with morbid obesity was excluded due to intentional weight loss, the mean dry weight at initiation of training was 71.9+/-12.4 kg and increased to 74.3+/-12.4 kg by the end of the study (p=0.66). The mean albumin increased from a baseline of 3.9+/-0.3 to 4.3+/-1.1 gm/dL during DHD (p=0.0015). The mean serum phosphorus levels were 5.4+/-1.4 mg/dL. Phosphate binder usage increased from a mean baseline of 2.6+/-1.4 to 4.2+/-2.6 tablets per meal during DHD (p=0.08). The mean delivered single pool Kt/V was 0.87 per treatment. During the 234 months studied, there were 11 hospital admissions (0.56 admissions per patient per year), with a mean length of stay of 3.7 days. Our results demonstrate that DHD improves nutritional status and decreases hospital admissions for dialysis-dependent patients.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".