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The Cost of HIT-Safe Anticoagulant Use at a Tertiary Care, Adult, Academic Hospital.

2008· article· en· W2558668705 on OpenAlexaffabout
Natasha Nanwa, Nicole Mittmann, Simon R. Knowles, Claudia Bucci, Rita Selby, Neil H. Shear, Scott E. Walker, William Geerts

Bibliographic record

VenueBlood · 2008
Typearticle
Languageen
FieldMedicine
TopicHeparin-Induced Thrombocytopenia and Thrombosis
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineHeparin-induced thrombocytopeniaPharmacyAdverse effectEmergency medicineHeparinInternal medicineSurgeryFamily medicine

Abstract

fetched live from OpenAlex

Abstract Objective: Heparin-induced thrombocytopenia (HIT) is a potential adverse outcome of heparin therapy. At Sunnybrook Health Sciences Centre (SHSC), a patient suspected of HIT has heparin discontinued, a HIT enzyme-linked immunosorbent assay (ELISA) ordered, and is then treated with a HIT-safe anticoagulant. Few studies have assessed the cost of treating suspected (negative and confirmed) HIT. The objective of our study was to quantify the direct costs associated with treating HIT from a Canadian hospital perspective. Methods: A cost analysis was conducted at SHSC, a 701-bed academic hospital with cardiac surgery. Suspected HIT included all patients who had a HIT ELISA ordered. A confirmed HIT case had one of the following: positive serotonin release assay (SRA), positive HIT ELISA (optical density: 0.4 to 1.0) plus high clinical probability for HIT, or strongly positive HIT ELISA (optical density > 1.0). A negative HIT case had a negative HIT ELISA or SRA. Costs associated with using HIT-safe anticoagulants included: drug acquisition, preparation time, monitoring tests, and the management of bleeding (e.g., blood transfusions). The average treatment cost (2007 Canadian dollars) per case of confirmed HIT, confirmed HIT with thrombosis (HITT), and negative HIT was calculated. Cost data was obtained from the hospital human resources, pharmacy database, and laboratory. Results: There were 108 suspected HIT cases in 2005. Thirty-one of the suspected HIT cases were treated: 12 out of 88 negative HIT cases, 7 out of 8 confirmed HIT cases, and all 12 confirmed HITT cases (Table). Six cases were treated with more than one HIT-safe anticoagulant (one negative HIT case and five confirmed HITT cases). Lepirudin accounted for 64% of the total HIT-safe medication costs in 2005. Overall, the direct thrombin inhibitors (DTIs) accounted for 96% of the treatment costs. Seventeen patients were treated with fondaparinux, eight of whom were negative HIT cases. Cases with confirmed HITT had greater treatment costs per patient than those with confirmed HIT. The average treatment cost of a negative HIT case was $64 ($0–$3,987). Conclusions: The treatment costs presented appear to be lower than costs presented in other studies. This may, in part, be the result of a hospital HIT management policy and a comprehensive TE Service that manages all cases of HIT. The total costs and the cost per patient were greatest for the DTIs. Table: HIT-safe anticoagulant use. Negative HIT Confirmed HIT Confirmed HITT Total cost of use NA - not applicable, SD - standard deviation, 1One patient received both lepirudin and fondaparinux, 2 One patient died before receiving any treatment, 3 Five patients received more than one HIT-safe anticoagulant Average argatroban cost ± SD (range) $3,987 n = 1 $0 n = 0 $4,023 ± $4,211 ($693 – $8,757) n = 3 $16,056 Average bivalirudin cost ± SD (range) $0 n = 0 $9,302 n = 1 $0 n = 0 $9,302 Average lepirudin cost ± SD (range) $221 n = 1 $3,562 ± $23 ($3,545 – $3,578) n = 2 $4,793 ± $4,842 ($1,099 – $16,744) n = 9 $50,482 Average danaparoid cost ± SD (range) $228 ± $135 ($90 – $359) n = 3 $0 n = 0 $54 n = 1 $738 Average fondaparinux cost ± SD (range) $91 ± $58 ($28 – $196) n = 8 $81 ± $67 ($42 – $182) n = 4 $263 ± $100 ($140 – $365) n = 5 $2,367 Total number treated 131 72 183 NA Average HIT-safe anticoagulant cost ± SD (range) $64 ± $428 ($0 – $3,987) Median = $0 n = 88 $2,094 ± $3,314 ($0 – $9,302) Median = $119 n = 8 $4,715 ± $4,776 ($252 – $16,744) Median = $3,156 n = 12 $78,945

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)0.004
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 score0.708
Threshold uncertainty score0.587

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.273
Teacher spread0.244 · 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
Published2008
Admission routes2
Has abstractyes

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