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Record W4237962142 · doi:10.1002/hdi.2001.5.1.13

Daily Dialysis and Flexible Schedules: How to Assess Kt/V and EKR<sub>c</sub>?

2001· article· en· W4237962142 on OpenAlexvenueno aff
Giorgina Barbara Piccoli, Mario Calderini, Francesca Bechis, A. Pacitti, Candida Iacuzzo, Elisabetta Mezza, Marco Quaglia, Manuel Burdese, Massimo Gai, Patrizia Anania, A Jeantet, Giuseppe Segoloni

Bibliographic record

VenueHemodialysis International · 2001
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsnot available
Fundersnot available
KeywordsDialysisMedicineHemodialysisPolysulfoneDialysis adequacyUrologySurgeryChemistryMembrane

Abstract

fetched live from OpenAlex

Despite the growing interest in daily hemodialysis (DHD), logistic and economic factors limit its dissemination. Not the least of these factors is the lack of uniform criteria for measuring efficiency. From November 1998 to November 2000, 19 patients were on DHD in our unit. The dialysis prescription was bicarbonate buffer; 6 sessions per week; 2 – 3 hours; blood flow 250 – 350 mL/min; individual K, HCO3, and Na levels; membrane 1.6 – 2 m2 (polysulfone, polycarbonate). The prescription represented the minimum dialysis requirement; patients were free to add up to 30 minutes per session, further increase or any decreases needed confirmation by the caregivers. The aim of the study was to assess Kt/Vurea variability in this clinical setting, and to identify the minimum number of dialysis sessions required to obtain a reliable estimate of weekly Kt/Vurea [relative error (RE) < 10%]. We studied 169 dialysis sessions in 13 clinically stable patients on DHD for ≥ 3 months, with ≥ 3 Kt/Vurea measurements within 2 weeks (median: 10; range: 3 – 32 sessions), tested in the same laboratory. To assess variability, we employed the simplest formula (the Lowrie Kt/Vurea), the widely used Daugirdas II formula, and the derived single-pool equivalent renal clearance (EKRc), according to Casino. The variability of Kt/Vurea per session was high (Lowrie: RE = 2.5% – 22.1%; Daugirdas II and EKRc: RE = 3.6% – 24%). Averaging several dialysis sessions leads to a more reliable estimate of weekly efficiency (6 sessions: RE = 0; 3 sessions, Lowrie formula: Kt/Vurea RE = 1.1% – 9.7%; Daugirdas II and EKRc: RE = 1.6% – 10.6%). In patients with wide time variations, variability may be lower if weekly efficiency is determined on the basis of “average hourly Kt/Vurea,” which is calculated by dividing Kt/Vurea by the number of hours in the studied sessions, and then multiplying by the hours of dialysis performed in the whole week (Lowrie formula, Kt/Vurea: RE = 4.8% – 16.6% for 1 session, 2.1% – 7.3% for 3 sessions). Once again, the RE decreases sharply when data from 3 sessions are considered. Therefore, for flexible DHD, we suggest averaging the data from ≥ 3 sessions for weekly Kt/Vurea assessment.

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)0.008
metaresearch head score (Gemma)0.034
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 score0.008
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.034
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.028
GPT teacher head0.284
Teacher spread0.256 · 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

Citations1
Published2001
Admission routes1
Has abstractyes

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