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Record W1601234518 · doi:10.1159/000438820

Citrate Formulation Determines Filter Lifespan during Continuous Veno-Venous Hemofiltration: A Prospective Cohort Study

2015· article· en· W1601234518 on OpenAlexaff
Rita Jacobs, Patrick M. Honoré, Sean M. Bagshaw, Marc Diltoer, Herbert Spapen

Bibliographic record

VenueBlood Purification · 2015
Typearticle
Languageen
FieldMedicine
TopicAcute Kidney Injury Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineHemofiltrationInterquartile rangeProspective cohort studyUrologyHemodialysisRenal replacement therapyHematocritInternal medicineGastroenterology

Abstract

fetched live from OpenAlex

INTRODUCTION: We conducted an 8-month prospective single-center observational study in patients with acute kidney injury treated with continuous veno-venous hemofiltration (CVVH) to compare the impact of two citrate formulations on filter lifespan (FLS). METHODS: Patients received CVVH at a delivered dose of 25 ml/kg/h. Multivariable linear regression was performed to assess the influence of different variables on circuit lifespan. RESULTS: We included 59 patients, 28 received the 10/2 formulation and 31 received the 18/0 formulation. Median (interquartile range) FLS was significantly prolonged with the 18/0 solution compared with the 10/2 solution (4.10 (2.45-5.75) vs. 2.68 (0.47-4.99) days, p = 0.001). No confounding variables (difference in ionized calcium target, citrate flow or dose, platelet count, hematocrit, vascular access location) affecting filter capacity or lifespan between the 2 formulations were identified. CONCLUSIONS: Under similar conditions of CVVH and calcium targets, a Prismocitrate 18/0 formulation significantly improved FLS as compared with Prismocitrate 10/2.

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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.034
GPT teacher head0.308
Teacher spread0.274 · 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

Citations32
Published2015
Admission routes1
Has abstractyes

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