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Risk of Inadequate Dialysis Dose in Hemodialysis Patients with High Watson Volume. A Warning

2004· article· en· W2146249072 on OpenAlexvenueno aff
Secundino Cigarrán, Francisco Coronel, J. Torrente, M. Sevilla, J.C.D. Baylón

Bibliographic record

VenueHemodialysis International · 2004
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDialysisHemodialysisDialysis adequacyKt/VPopulationDialysis tubingInternal medicineSurgeryUrology

Abstract

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Quality control of dialysis treatment has received wide attention since inadequate dialysis dose was an independent risk factor of morbidity and mortality in hemodialysis patients. Each 0.1 decrease in Kt/V less than 1.2 is estimated to increase the relative risk of death by 5–7%. A higher Kt/V can be achieved by increasing treatment time, using a larger dialyzer or increasing blood or dialysate flow rates. The aim of this cross‐sectional study was to know, using online conductivity monitor (OCM) routinely, whether a certain subgroup of patients is being treated inadequately. 24 anuric patients were included in a cross‐sectional study: 20.8% were diabetics, mean age 64.7 ± 18.2 years; 16% females. Access blood were AVFI and the effective dialyzed blood flow was set at 350 mL/min, with recirculation <5%. BMI was 25.4 ± 3.8 kg/m2 and body weight was 69.7 ± 12 kg. All patients were dialyzed thrice weekly (245 ± 21 min) with dialysis machine 4008H (Fresenius Medical Care) equipped with OCM monitor and the hollow fiber high‐flux polysulfone membrane (HF‐80 1.8 m2) and helixone (Fx‐60, 1.6 m2). Dialysate flow was maintained at 500 mL/min, with standard dialysate liquid. Drug therapy was not varied. OCM was validated for our population and reported in other abstracts (r2 = 0.96, p < 0.001). Inadequate dialysis dose was considered at OCM Kt/V less than 1.2. Data were processed and statistically analyzed with SPSS 11.0 software package. Watson volume (Wv) to other baseline characteristics was assessed by using contingency tables, t‐tests, analysis of variance, and linear regression, as appropriate. All the tests were performed for a 0.05 significance level. The OCM Kt/V weekly was inversely related to Wv (r = −0.833, p < 0.001). 20.8% of our patients are at risk of inadequate dialysis dose, and it reflects our current practice of dialysis prescription. All of them are anuric young men with a Wv > 40 L. Specific efforts are required to deliver an adequate dialysis dose in this kind of patients. This can be achieved by altering dialysis frequency, increasing membrane surface, and/or increasing dialysis flow. OCM Kt/V device permits a daily dialysis dose delivery and, consequently, an individualized prescription. Prospective studies are required to establish whether adequate dialysis dose in patients with Wv > 40 L may further improve their survival. Variable n OCM Kt/V Age (year) THD (min) Watson volume (L) OCM Kt/V <1.2 5 (20.8%) 1.05 ± 0.03 * 45.2 ± 12.91 * 240 ± 21.21 45.02 ± 3.03 * OCM Kt/V ≥1.2 19 (79.2%) 1.36 ± 0.17 69.89 ± 15.9 246 ± 21.21 34.6 ± 4.9 p < 0.001.

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)0.005
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: Commentary · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.227
Teacher spread0.220 · 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
GenreCommentary

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

Citations7
Published2004
Admission routes1
Has abstractyes

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