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A case of plasma component exchange using membrane plasma separator EVACURE™

2005· article· en· W2037514309 on OpenAlexvenueno aff
I. Sakaji, Masato Kasahara, Yasushi Ishida, Masaaki Yoshikawa, Toshio Nitta, Y. Matsushima, Yosuke Iwatani, Ayumi Yoshimoto, Toshiaki Suzuki

Bibliographic record

VenueHemodialysis International · 2005
Typearticle
Languageen
FieldMedicine
TopicVasculitis and related conditions
Canadian institutionsnot available
Fundersnot available
KeywordsAlbuminMedicineHemodialysisTonicityFresh frozen plasmaSepsisChromatographySurgeryChemistryInternal medicinePlatelet

Abstract

fetched live from OpenAlex

Objective: We report a patient with urosepsis, Lleptospira syndrome, TTP‐HUS syndrome, fulminant hepatic failure, vasculitis syndrome and TSS treated with plasma component exchange. Methods: Conditions for plasma component exchange were membrane plasma separator (Evacure EC‐3A), substitute fluid (3 % albumin solution), blood flow rate (150 mL/min), filtration rate (30 mL/min), quantity of substitute fluid (4,600 mL) and anticoagulant (nafamostat mesilate 30 mg/hr). Result: Plasma component exchange in combination with hemodiafiltration induced a rapid remission of both hepatic toxicity and renal failure caused by streptococcal sepsis. Membrane plasma separator evacure EC‐3A allowed the use of 3% albumin solution as substitute fluid. Colloid osmotic pressure temporarily increased after the treatment, but within 24 hours, returned to the same level as before the treatment. Conclusion: Plasma component exchange using a membrane plasma separator may allow the use of albumin instead of fresh frozen plasma (FFP) as substitute fluid, which results in a lower risk of infection.

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)0.000
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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.029
GPT teacher head0.299
Teacher spread0.270 · 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 designCase report
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
Published2005
Admission routes1
Has abstractyes

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