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Record W4415475975 · doi:10.1681/asn.2025ksq026mv

Proof-of-Concept Study of Point-of-Care, On-Demand Dialysate Generation by Viva Komfort Automated Peritoneal Dialysis System in a Porcine Model

2025· article· en· W4415475975 on OpenAlexaff
Arsh K. Jain, Prashanth S. Kumar, Marjorie Wai Yin Foo, Htay Htay, Edwina A. Brown, Sanjay Singh, Sheena Gow, Adam Russell, Mandar Gori, Martin Schreiber

Bibliographic record

VenueJournal of the American Society of Nephrology · 2025
Typearticle
Languageen
FieldEngineering
TopicIntravenous Infusion Technology and Safety
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsPeritoneal dialysisKidney diseaseDialysisAnimal modelKidney

Abstract

fetched live from OpenAlex

Background: Peritoneal dialysis (PD) relies on regular delivery of large volume dialysate, posing logistical, storage and environmental burdens. Viva Komfort (VK) Automated PD (APD) system generates dialysate on demand from tap water, potentially eliminating bulk fluid deliveries. While the VK system has a companion cycler, the main aim was to evaluate preliminary safety and biocompatibility of the purified water prepared by on-demand dialysate generation (OnGen) at a modular level in a ESKD porcine PD model. Methods: One male Sus scrofa pig (5/6 nephrectomy) underwent 28 days of APD. In Baseline (Day 1–14), standard Dianeal Low Cal 1.5% dialysate was used and in OnGen (Day 15–28), VK-generated 1.5% dextrose dialysis fluid; VK system infused purified tap water into a prefilled bag of concentrates that would produce dialysate similar to Dianeal Low Cal. In both phases, the same therapy dose was delivered (10h, 2L x 5 exchanges, with 2L Dianeal 1.5% last fill) via HomeChoice Pro as the VK companion cycler was still under development at the time of the study. Tap and purified water were tested on Day 1 prior to the start of the OnGen phase for sterility and endotoxin load. Serum biochemistry and hematology were assessed every 2 days and dialysate cell counts were assessed daily. Drain cultures were done at the start and end of each phase. Results: The pig completed the 28–day study. The purified water produced by the VK met acceptable levels (Sterile, Endotoxin=0.01 EU/mL). No dialysate cultures turned positive through one week post study completion. Median (min–max) values of serum and dialysate parameters remained stable between the phases: Conclusion: On–demand dialysate produced from tap water by the VK APD system was sterile, endotoxin–free, and well tolerated for 14 days in a large animal model, with stable inflammatory profiles and no infectious signals. These proof of concept data support further evaluation of the VK system in extended pre–clinical and forthcoming human studies. Funding: Commercial Support - Vivance Pte Ltd - Baseline Viva Komfort Serum parameters Urea (mmol/L) 11.9 (10.1 – 13.6) 10.2 (9.9 – 11.2) Creatinine (μmol/L) 435 (396 – 455) 449 (424 – 461) CRP (mg/L) 0.5 (0.4 – 2.0) 0.6 (0.5 – 0.7) Dialysate parameters Final Drain Cell count (109/L) 0.002 (0.001 – 0.007) 0.001 (0.001 – 0.003) Turbidity (NTU) 1.3 (1.0 – 1.7) 1.5 (0.8 – 1.8)

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.007
GPT teacher head0.237
Teacher spread0.231 · 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 designBench or experimental
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

Citations0
Published2025
Admission routes1
Has abstractyes

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