FP558OUTCOMES OF INTEGRATED HOME DIALYSIS CARE: A MULTI-CENTRE REGISTRY STUDY
Bibliographic record
Abstract
Introduction and Aims: The ‘Integrated home dialysis’ model involving initiation of peritoneal dialysis (PD) first followed by home hemodialysis (HHD) has previously been proposed as an optimal form of dialysis that maximises the advantages of both modalities. While this model has great potential, its clinical outcomes, especially compared to direct HHD initiation, remain uncertain. Hence, the aim of this study was to evaluate survival in patients treated with PD and subsequently HHD, compared to treatment with a single home dialysis modality. Methods: This study included all incident home dialysis patients, defined as PD or HHD in the first 90 days after renal replacement therapy initiation, in Australia and New Zealand between 2000 and 2012. Propensity score matching was performed to evaluate patients initially treated with PD followed by HHD (‘PD + HHD’ group), PD without subsequent transition to HHD (‘PD only’ group) and HHD without subsequent transition to PD (‘HHD only’ group). The composite primary outcome was death and home dialysis technique failure (defined as transfer to facility hemodialysis for at least 90 days). The secondary outcome included death on home dialysis (censored for technique failure). For all time-to-event analyses, time zero was defined as the time when HHD was initiated for patients in the ‘PD+HHD’ group and matching time for the other groups. Groups were compared using Cox proportional hazards models.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".