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Record W2016435096 · doi:10.1055/s-0030-1251988

Conventional Chromogenic Heparin Assays are Influenced by Patient's Endogenous Plasma Antithrombin Levels

2010· article· en· W2016435096 on OpenAlexafffund
Lesley Mitchell, Patricia Vegh

Bibliographic record

VenueKlinische Pädiatrie · 2010
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health ResearchBayer Canada
KeywordsChromogenicHeparinAntithrombinEndogenyIn vitroChemistryPharmacologyPlasma levelsMedicineChromatographyEndocrinologyBiochemistry

Abstract

fetched live from OpenAlex

OBJECTIVES: To determine, in vitro, the influence of plasma AT concentrations on heparin levels as measured by commercially available chromogenic kits. METHODS: Purified AT was added to plasma that was immune depleted of AT at the following final concentrations: 0, 0.5, 1.0, 1.5, 2.0, 2.5 u/ml. Heparin was added to each of the AT concentrations at the following final concentrations: 0, 0.2, 0.4 u/ml. Heparin levels were then determined using 5 different Anti-Xa (n=4) or Anti-IIa (n=1) commercial kits. All kits provided purified AT to be added to the assay system. RESULTS: When heparin was added to plasma, heparin concentrations measured were dependent on plasma concentrations of AT (p<0.001). When plasma concentrations of AT were less than 1.0 u/ml heparin concentrations were underestimated and when plasma concentrations of AT were greater than 1.0 u/ml actual heparin levels were over estimated. There was no significant difference in the findings between the various commercial Xa or IIa kits. In the absence of heparin, anticoagulant activity was detected when plasma AT concentrations were above 1.0 u/ml. There was a statistically significant correlation between plasma concentrations of AT and the amount of anticoagulant activity (p<0.001). CONCLUSIONS: Conventional chromogenic heparin assays are influenced by endogenous plasma AT levels.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.277
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.021
GPT teacher head0.257
Teacher spread0.235 · 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; both teacher heads agree on what is shown here.

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

Citations11
Published2010
Admission routes2
Has abstractyes

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