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106 Patient‐years experience with the Aksys PHD System for quotidian home hemodialysis

2005· article· en· W2039035466 on OpenAlexvenueno aff
C.M. Kjellstrand, Christopher R. Blagg, Bessie A. Young, John D. Bower, Z J Twardowski

Bibliographic record

VenueHemodialysis International · 2005
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHemodialysisDialysisSurgeryHome hemodialysisFistulaCatheter

Abstract

fetched live from OpenAlex

The Aksys PHD System, designed to utilize ultrapure dialyzate for quotidian hemodialysis at home, uses mechanical cleaning and hot water sanitization of the blood, dialysate, and water flow‐paths from inlet to outlet. Since January 2000, it has been used by 110 US patients and 8 UK patients for a total of 106 patient years and more than 30,000 dialyses runs. Of those treated, 75 patients were male and 43 female; mean age was 52 ± 25 (range 22–82) years; 65% were white, 25% black, and 10% other; mean weight was 78 ± 20 (44–125) kg; the cause of renal failure was primary renal disease (50%), hypertension (24%), diabetes (19%), and other (4%). Dialysis access included fistula (61%), graft (25%), and catheter (14%). Patients had been on ESRD therapy on average of 6 ± 7 (0–32) years when starting on PHD dialysis. As of August 2004, patients had dialyzed 11 ± 8 (1–52) months on the PHD. Of those, 78 patients remained on the PHD, 12 were transplanted, 10 died, 7 returned to conventional dialysis at the end of the original study for the FDA and 7 for medical or social reasons, 2 returned to quotidian dialysis on other equipment, and 2 stopped during home dialysis training. Patients dialyzed an average of 145 ± 27 min, 5.6 ± 0.6 dialyses/week with a QB of 376 ± 45 ml/min and a QD of 545 ± 170 ml/min. eKt/V was 0.68 ± 0.20 and weekly stdKt/V was 2.61 ± 0.52. Mean dialyser reuse was 17 ± 14 times without significant decline in urea clearance. 23/118 patients (19%) who came to the PHD from quotidian dialysis on other equipment thought the PHD twice as easy to use and experienced only half as many episodes hypotension, cramps, headache, backache, nausea, and arrhythmias (all p < 0.02). They were hospitalized only half as many days on the PHD. Cumulative patient survival was 60% at 4 years, with 94 deaths/1,000 patient years, relative risk 0.56 compared with age‐matched patients from the USRDS database. Conclusion: This large clinical experience shows the PHD System is easier to use and delivers smoother dialysis with better cardiovascular stability than conventional dialysis machines. It easily fulfills the DOQI guidelines for adequacy of dialysis, economizes on use of dialyzers, tubing, and dialysate, results in less hospitalization, and appears to result in superior patient survival.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.003

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.

Opus teacher head0.013
GPT teacher head0.248
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2005
Admission routes1
Has abstractyes

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