Introduction aux thérapies continues de remplacement rénal et principes d’ajustement des posologies des médicaments
Bibliographic record
Abstract
Resume Objectif : Le present article vise a introduire les notions de base sur les therapies continues de remplacement renal et propose des methodes d’ajustement posologique des medicaments. Source des donnees : Une revue de litterature a ete effectuee a l’aide de Pubmed (2004) en employant les mots « hemofiltration, antibiotique, soins intensifs, clairance ». Selection des etudes et extraction des donnees : Toutes les etudes concernant l’ajustement des antibiotiques cites dans l’article ont ete revues et l’information pertinente concernant les therapies continues de remplacement renal a ete incluse. Analyse des donnees : L’insuffisance renale aigue est une complication frequente chez les patients de soins critiques. L’hemofiltration est de plus en plus souvent utilisee. Cependant, peu de donnees completes sur l’ajustement des medicaments avec cette technique sont disponibles dans la litterature. Conclusion : Les donnees publiees dans la litterature ne peuvent etre extrapolees. L’ajustement de la posologie des medicaments doit etre individualise. Le choix de la methode d’ajustement releve du jugement clinique. Abstract Objective : This article presents the basis to understand continuous renal replacement therapies and proposes different methods for drug adjustment. Methods : A literature search was performed using Pubmed with the following words « hemofiltration, antibiotics, critical care, clearance ». All studies reporting data on antibiotics adjustment with continuous renal replacement therapies were reviewed and information on these therapies was included in the review. Results : Acute renal failure commonly complicates the course of hospitalisation for intensive care unit patients. Hemofiltration is becoming a treatment of choice to treat these patients. However, few data are available regarding drug adjustment in this context. Conclusions : Data regarding drug adjustment with hemofiltration cannot be easily applied to patients in clinical practice. Individualised regimens are often more appropriate. Clinical judgement is needed to choose the best adjustment method. Key words : Continuous renal replacement therapies, drug adjustement, acute renal failure, pharmacokinetics, critical care.
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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 | 0.018 | 0.053 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".