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Record W2989078371 · doi:10.1182/blood-2019-129340

The Incidence of Heparin Induced Thrombocytopenia before and after the Implementation of the Venous Thromboembolism Thromboprophylaxis Protocols within Eastern Health

2019· article· en· W2989078371 on OpenAlexaff
Kristina Roche, Brian Harnett, Leona Browne, Stephanie Young, Rufaro S Chitsike

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldMedicine
TopicHeparin-Induced Thrombocytopenia and Thrombosis
Canadian institutionsSt. John’s Health Sciences CentreMemorial University of Newfoundland
Fundersnot available
KeywordsMedicineHeparinHeparin-induced thrombocytopeniaThrombosisLow molecular weight heparinIncidence (geometry)Venous thromboembolismAnticoagulantVenous thrombosisFondaparinuxIntensive care medicineSurgery

Abstract

fetched live from OpenAlex

Background: A recognized complication of exposure to heparin is the development of heparin-induced thrombocytopenia (HIT) and heparin-induced thrombocytopenia with thrombosis (HITT). The frequency of HIT in patients exposed to unfractionated heparin (UFH) is higher than those exposed to low-molecular-weight heparin (LMWH). Where the use of unfractionated heparin is not necessary, HIT may be largely preventable by using LMWH rather than UFH on an institution-wide scale. At our institution, UFH was largely substituted by the LMWH for thromboprophylaxis gradually throughout 2014 with the implementation of the venous thromboembolism (VTE) thromboprophylaxis protocols. The VTE thromboprophylaxis protocols had their final implementation at the beginning of 2015. Objectives: - To determine the incidence of HIT and HITT before and after the implementation of the VTE thromboprophylaxis protocols within Eastern Health. - ACP Learning Objective: Educate learners about the risk of using UFH as well as alternative treatment for DVT prophylaxis (LMWH). Methods: Charts of all patients who had HIT screening assays requested between January 1, 2012 and December 31, 2017 were examined to determine which patients went on to have positive screening assays as well as positive confirmatory testing. The type of heparin which the patient was exposed was recorded, the sequelae of HITT within 30 days of medication exposure, as well as the correlation of these findings with the implementation of the VTE thromboprophylaxis protocols. Preliminary Results: In surgical patients the average number of confirmed cases of HIT per year decreased by 51%, and the average number of confirmed cases of HITT per year decreased by 83% after implementation of thromboprophylaxis protocols. In medical patients the average number of confirmed cases of HIT per year decreased by 15%, and the average number of confirmed cases of HITT per year decreased by 47% after implementation of thromboprophylaxis protocols. Between 2012 and 2017 a total of 24 patients experienced HITT, resulting in 33 poor outcomes, including: pulmonary embolism, cerebrovascular accident, DVT, ischemic bowel, arterial thrombosis, venous thrombosis, cardiac thrombus, splenic infarct, and death. The majority of patients experiencing HITT had a history of UFH usage, be it alone or in combination with LMWH, equaling 19 out of 24 patients. Preliminary Conclusion: The incidence of HIT and HITT was reduced after the implementation of the VTE prophylaxis protocols. Further Direction: The next step in the project involves assessing the statistical significance of the above results and assessing the data from 2018 in the same manner as above. Disclosures Young: Sanofi-Aventis: Honoraria, Research Funding. Chitsike:Sanofi-Aventis: Honoraria, Research Funding; Bayer: Research Funding; Bristol Myers Squib: Honoraria; Pfizer: Honoraria; Servier: 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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.043

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 communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.318
Teacher spread0.300 · 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
Published2019
Admission routes1
Has abstractyes

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