Cost-Effectiveness and Budget Impact of a Novel Antithrombotic Drug Removal System to Reduce Bleeding Risk in Patients on Preoperative Ticagrelor Undergoing Cardiac Surgery
Bibliographic record
Abstract
BACKGROUND: inhibitor ticagrelor, increase the risk of perioperative bleeding in patients requiring urgent cardiac surgery. Perioperative bleeding can lead to increased mortality and prolong intensive care unit and hospital stays. A novel sorbent-filled hemoperfusion cartridge that intraoperatively removes ticagrelor via hemoadsorption can reduce the risk of perioperative bleeding. We estimated the cost-effectiveness and budget impact of using this device versus standard practices to reduce the risk of perioperative bleeding during and after coronary artery bypass grafting from the US healthcare sector perspective. METHODS: We used a Markov model to analyze the cost-effectiveness and budget impact of the hemoadsorption device in three cohorts: (1) surgery within 1 day from last ticagrelor dose; (2) surgery between 1 and 2 days from last ticagrelor dose; and (3) a combined cohort. The model analyzed costs and quality-adjusted life years (QALYs). Results were interpreted as both incremental cost-effectiveness ratios and net monetary benefits (NMBs) at a cost-effectiveness threshold of $100,000/QALY. We analyzed parameter uncertainty using deterministic and probabilistic sensitivity analyses. RESULTS: The hemoadsorption device was dominant for each cohort. Patients with less than 1 day of washout in the device arm gained 0.017 QALYs at a savings of $1748 (USD), for an NMB of $3434. In patients with 1-2 days of washout, the device arm yielded 0.014 QALYs and a cost savings of $151, for an NMB of $1575. In the combined cohort, device gained 0.016 QALYs and a savings of $950 for an NMB of $2505. Per-member-per-month cost savings associated with device was estimated to be $0.02 for a one-million-member health plan. CONCLUSION: This model found the hemoadsorption device to provide better clinical and economic outcomes compared with the standard of care in patients who required surgery within 2 days of ticagrelor discontinuation. Given the increasing use of ticagrelor in patients with acute coronary syndrome, incorporating this novel device may represent an important part of any bundle to save costs and reduce harm.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".