Evaluation of Oral Dabigatran Etexilate Pharmacokinetics and Pharmacodynamics in Hemodialysis Patients
Bibliographic record
Abstract
Background Dabigatran etexilate represents a possible improved alternative to warfarin for anticoagulation in hemodialysis patients with atrial fibrillation (AF). The object was to determine dabigatran plasma concentrations and anticoagulant effects following administration of a single 110 mg oral dose of dabigatran etexilate to hemodialysis patients. Methods Dabigatran etexilate (110 mg) was administered to 10 adult patients (25–69 yrs‐old) of the CDHA Renal Program immediately prior to starting hemodialysis. Plasma and dialysate samples were collected intermittently over 48 hours. A thrombin‐based hemoclot assay was used to determine sample‐clotting times, which were compared to dabigatran standards to estimate sample dabigatran concentrations. Results The mean time (t max ) to reach maximum plasma concentration (C max ) was 2.1 hours, and the C max was 72.8 ± 31.5 ng/mL. The mean elimination half‐life on hemodialysis (t 1/2ON ) was 1.1 hours and the half‐life off hemodialysis (t 1/2OFF ) was substantially longer (41.0 hours). Conclusions A 110 mg oral dabigatran dose prior to hemodialysis was rapidly absorbed and achieved therapeutic concentrations. Hemodialysis effectively removed dabigatran from the plasma and is a possible mechanism for dabigatran detoxification. Funding was provided by the Faculty of Health Professions, Dalhousie University and the Division of Nephrology, CDHA
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".