The Pharmacokinetics of Subcutaneous Enoxaparin in End‐Stage Renal Disease
Bibliographic record
Abstract
STUDY OBJECTIVE: To evaluate the pharmacokinetics of enoxaparin in end-stage renal disease (ESRD), and determine if dosage reduction is necessary to maintain antifactor Xa activity concentrations within the therapeutic range. DESIGN: Prospective, single-dose pharmacokinetic study. SETTING: University-affiliated general clinical research center. PATIENTS: Eight nonthrombosed patients with ESRD requiring hemodialysis. INTERVENTION: All subjects received a single dose of enoxaparin sodium 1 mg/kg subcutaneously and had serial plasma antifactor Xa activity concentrations measured over 24 hours. MEASUREMENTS AND MAIN RESULTS: The pharmacokinetics of enoxaparin were determined from plasma antifactor Xa activity concentrations, and various multiple-dose regimens were simulated. After administration of the drug, total body clearance was 14.6 ml/minute and there was a 2-fold prolongation in antifactor Xa activity half-life compared with values reported in healthy subjects. All other pharmacokinetic parameters were similar to those in healthy subjects and patients with chronic renal insufficiency. An accumulation ratio of 1.6 was estimated for a dosing interval of every 12 hours based on single-dose pharmacokinetics. When various therapeutic regimens were simulated to predict average steady-state antifactor Xa activity, standard enoxaparin dosages of 1 mg/kg subcutaneously every 12 hours and 1.5 mg/kg every 24 hours resulted in average steady-state concentrations within the therapeutic range. CONCLUSIONS: Based on antifactor Xa activity, ESRD has little effect on the pharmacokinetics of enoxaparin, and dosing adjustments are unnecessary.
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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 | 0.001 |
| 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) | 0.000 | 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 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".