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Clinical Features of Heparin-Induced Thrombocytopenia Diagnosed By Lumi-Aggregometry

2014· article· en· W2557153347 on OpenAlexaff
Elona Turley, Artur Szkotak, Irwindeep Sandhu, Cynthia Wu

Bibliographic record

VenueBlood · 2014
Typearticle
Languageen
FieldMedicine
TopicHeparin-Induced Thrombocytopenia and Thrombosis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHeparin-induced thrombocytopeniaPlateletHeparinPlatelet factor 4MedicineAntibodyPlatelet activationGold standard (test)Internal medicineImmunology

Abstract

fetched live from OpenAlex

Abstract Background: Heparin-induced thrombocytopenia (HIT) is associated with anti-platelet factor-4 (PF4)/heparin antibodies that activate platelets, resulting in thrombocytopenia and a pro-thrombotic state. At our institution antibody-mediated platelet activation is demonstrated by lumi-aggregometry, which is a method previously validated against the gold standard serotonin-release assay (SRA). Lumi-aggregometry does not involve radioactive isotopes, which is its major advantage over the SRA. The clinical course of HIT diagnosed via SRA and ELISA has been previously described, and clinical prediction tools such as the 4-T score were validated using these diagnostic tests. However, the clinical picture of HIT diagnosed by lumi-aggregometry has not been previously described. Aims: The objective of this study is to describe the clinical and laboratory presentation of patients diagnosed with HIT by lumi-aggregometry. Methods: Patients with clinically suspected HIT and quantitative anti-PF4 IgG-specific ELISA OD ≥0.400 (Gen-Probe, San Diego) received confirmatory HIT testing by lumi-aggregometry. Briefly, HIT antibody-induced activation of washed healthy donor platelets was tested at therapeutic (0.1U/mL and 0.5U/mL) and high (100U/mL) porcine heparin concentration. The degree of platelet activation was quantitated luminographically based on the light flash reaction of ATP (released from platelet dense-granules) with luciferin luciferase reagent. A ratio of therapeutic to high heparin luminescence amplitude of >5.0 and platelet aggregation at therapeutic, but not high, concentrations was considered a positive result. The results of assays performed by our regional HIT testing referral laboratory from June 2009 to July 2012 were reviewed to identify patients with positive HIT testing by lumi-aggregometry. Patient records were retrospectively reviewed to obtain predefined data on baseline patient characteristics, heparin exposure, platelet counts, and thrombotic events occurring in the 5 days preceding or the 30 days following the date of positive HIT testing. Results: We identified 43 patients diagnosed with HIT by lumi-aggregometry (median age 68.0, 49% male) while under the care of local academic (46%) or urban community hospitals (37.2% medical; 53.5% surgical; 9.3% intensive care). Median baseline platelet count was 187 (14-349). Median date of platelet drop post-heparin exposure was 6 days (range 3-14) in patients without prior heparin exposure or platelet transfusions (Figure 1). Platelet drop >50% and platelet nadir ≥20x109/L were present in the majority of patients (Table 1). Thrombocytopenia occurred prior to (70.5%) or the same day (23.5%) as thrombosis in 16/17 patients with serial platelet counts who developed HIT-associated thromboembolism. Conclusion: Patients diagnosed with HIT by lumi-aggregometry present with similar findings to those described in SRA-confirmed HIT. These findings lend support to the use of lumi-aggregometry as an accurate diagnostic assay for the clinico-pathologic syndrome of HIT. Figure 1 Figure 1. Table 1. Percentage platelet drop from baseline and platelet nadir Percent platelet drop Platelet nadir >50% 30-50% <30% ≥20 x 109/L 28 3 2 10-19 x 109/L 5 1 0 <10 x 109/L 1 1 0 Disclosures Szkotak: Alexion Pharmaceuticals: Research Funding. Sandhu:Celgene: Honoraria; Jansen: Honoraria; Novartis: Honoraria.

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)0.001
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.029
GPT teacher head0.323
Teacher spread0.295 · 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".

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Citations0
Published2014
Admission routes1
Has abstractyes

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