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Record W1825206184

Utilisation de la N-acétylcystéine pour le traitement de l’hépatotoxicité induite par un traitement antituberculeux

2015· article· fr· W1825206184 on OpenAlexaff
Irène B. Gernet, Mélissa Para, Nushin Sadeghi

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldPharmacology, Toxicology and Pharmaceutics
TopicDrug-Induced Hepatotoxicity and Protection
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsGynecologyMedicine
DOInot available

Abstract

fetched live from OpenAlex

Resume Objectif : Presenter un cas d’hepatotoxicite induite par un traitement antituberculeux et traite avec de l’acetylcysteine. Resume du cas : Il s’agit d’un homme de 66 ans d’origine vietnamienne transfere a l’urgence a la suite de sa visite medicale mensuelle en raison de la presence d’un bilan hepatique anormal, de nausees, d’une diminution de l’appetit, de fatigue et d’un ictere, qui sont apparus environ une semaine auparavant. Un mois plus tot, le patient avait debute un traitement pour une tuberculose active, comprenant de l’isoniazide, de la rifampine, de l’ethambutol, de la pyrazinamide et de la pyridoxine depuis un peu plus d’un mois. Son bilan hepatique montrait une augmentation des transaminases, de la phosphatase alcaline, de la bilirubine totale et directe et du ratio normalise international. A la suite de l’arret du traitement antituberculeux et des le debut de la perfusion continue d’acetylcysteine, on a pu constater des ameliorations du bilan hepatique et du ratio normalise international. Discussion : Les etudes a repartition aleatoire et controlees actuellement disponibles concluent a une amelioration de la survie avec l’utilisation de la N-acetylcysteine pour le traitement de l’hepatotoxicite non induite par une intoxication a l’acetaminophene. Toutefois, les donnees liees a son utilisation pour le traitement de l’hepatotoxicite induite par les antituberculeux demeurent limitees. Conclusion : L’arret du traitement demeure la pierre angulaire du traitement lors d’hepatotoxicite induite par les antituberculeux. Les donnees appuyant l’utilisation de la N-acetylcysteine dans les cas d’hepatotoxicites demeurent limitees. Neanmoins, ce traitement pourrait etre pris en consideration pour les patients ayant des valeurs d’enzymes hepatiques elevees malgre l’arret de l’agent causal et n’etant pas des candidats a la transplantation hepatique. Abstract Objectives: To present a case of antitubercular therapy induced hepatotoxicity treated with acetylcysteine. Case summary: A 66-year-old man of Vietnamese origin who admitted to the emergency room after his monthly medical check-up because of an abnormal liver profile, nausea, decreased appetite, fatigue and jaundice, which had appeared about a week earlier. A month earlier, the patient had started treatment for active tuberculosis, which included isoniazid, rifampin, ethambutol, pyrazinamide and pyridoxine. His liver profile showed an increase in the transaminase and alkaline phosphatase levels, the total and direct bilirubin, and the international normalized ratio. After the antitubercular treatment was stopped and as soon as a continuous infusion of acetylcysteine was started, the liver profile and international normalized ratio improved. Discussion: Currently available randomized controlled studies on the use of N-acetylcysteine to treat hepatotoxicity not related to acetaminophen intoxication mention that survival is improved. However, data concerning its use to treat antitubercular-induced hepatotoxicity are limited. Conclusion: Discontinuing the therapy is the cornerstone of treatment for antitubercular-induced hepatotoxicity. The data supporting the use of N-acetylcysteine in cases of hepatotoxicity are limited. Nevertheless, this treatment might be considered for patients with elevated liver enzyme values despite withdrawal of the causal agent and who are not candidates for a liver transplant.

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 imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.392
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.136
GPT teacher head0.401
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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