Nightly home hemodialysis: Five and one‐half years of experience in Lynchburg, Virginia
Bibliographic record
Abstract
BACKGROUND: Lynchburg Nephrology Dialysis Incorporated initiated a nightly home hemodialysis (NHHD) program in September 1997. As of April 30, 2003, 40 patients had completed training; 28 patients were at home and 2 patients were in training. The average age of the patients at the initiation of the home-based therapy was 50 years, with a range of 23 to 81 years. There have been 24,239 treatments at home with a total of 84.86 patient-years on NHHD, the longest patient for 66.7 months and the shortest for 1 month. METHODS: Patients dialyzed using the Fresenius 2008H machine, 6 to 10 hr, 5 to 6 nights per week. Treatment parameters included a blood flow rate of 200 to 250 mL/min; a dialysis flow rate of 200 to 300 mL/min; and a standard dialysis solution with 2.0 mEq/L potassium, 3.0 to 3.5 mEq/L calcium concentrations, 35 mEq/L HCO(3), and 140 mEq/L sodium. The longitudinal data of each patient in the program for 1, 2, 3, 4, and 5 years were compared to the same patient's pre-NHHD data. There were 25 patients in the program for 1 year, 19 patients for 2 years, 14 patients for 3 years, 6 patients for 4 years, and 4 patients for 5 years. RESULTS: Statistically significant improvement occurred in all five groups' need for antihypertensive medications and phosphate binders, SF36 scores, calcium/phosphorus product, blood pressure, number of hospital admissions, and number of days of stay in the hospital. The mortality rate was 2.4% deaths per patient-year with a 95% confidence interval of 0.9% to 9.4%. CONCLUSIONS: In a longitudinal study, NHHD showed significant improvements in patient secondary outcomes. The improvement in these secondary outcomes was associated with an improvement in mortality rate.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".