The Cost of HIT-Safe Anticoagulant Use at a Tertiary Care, Adult, Academic Hospital.
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".