Mortality, hospitalization and transfer to haemodialysis and hybrid therapy, in Japanese peritoneal dialysis patients
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Survival of peritoneal dialysis (PD) patients in Japan is high, but few reports exist on cause-specific mortality, transfer to haemodialysis (HD) or hybrid dialysis and hospitalisation risks. We aimed to identify reasons for transfer to HD, hybrid dialysis and hospitalisation in the Japan Peritoneal Dialysis and Outcomes Practice Patterns Study. METHODS: This observational study included 808 adult PD patients across 31 facilities in Japan in 2014-2017. Information on all-cause and cause-specific mortality and hospitalisation and permanent transfer to HD and PD/HD hybrid therapy were prospectively collected and rates calculated. RESULTS: Median follow-up time was 1.66 years where 162 patients transferred to HD, 79 transferred to hybrid dialysis and 74 patients died. All-cause and cardiovascular disease (CVD)-related mortality rates were 5.1 and 1.7 deaths/100 patient-years, respectively. Rates of transfer to HD and hybrid therapy were 11.2 and 5.5 transfers/100 patient-years, respectively. Among HD transfers, 40% were due to infection (including peritonitis), while 20% were due to inadequate solute/water clearance. Eighty-one percent of hybrid dialysis transfers were due to inadequate solute/water clearance. All--cause, peritonitis-related and CVD-related hospitalisation rates were 120.4, 21.1 and 15.6/100 patient-years, respectively. Median hospital length of stay was 19 days. CONCLUSIONS: Mortality, hospitalisation and transfer to HD/hybrid dialysis rates are relatively low in Japan compared to many other countries with hybrid transfers, accounting for one-third of dialysis transfers from PD. Further study is needed to explain the high inter-facility variation in hospitalisation rates and how to further reduce hospitalisation rates for Japanese PD patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".