Pharmacokinetic interaction between methotrexate and piperacillin/tazobactam resulting in prolonged toxic concentrations of methotrexate
Notice bibliographique
Résumé
Sir, Methotrexate is an antimetabolite commonly used to treat a number of malignancies including acute lymphoblastic leukaemia, high-grade lymphomas and germ cell tumours. In high doses methotrexate has been shown to result in significant myelosuppression, mucositis, hepatotoxicity and renal failure. Methotrexate is eliminated mainly unchanged in the urine by glomerular filtration and proximal tubular transport. We identified a 50-year-old female with newly diagnosed Burkitt’s lymphoma who was treated with alternating monthly cycles of IVAC (ifosfamide, etoposide and high-dose cytarabine) and CODOX-M (cyclophosphamide, doxorubicin, vincristine and high-dose methotrexate). Cerebral spinal fluid disease was treated with alternating weekly intrathecal administration of methotrexate or cytarabine. The patient’s course was complicated by a febrile neutropenic event on day +10 of her first cycle of chemotherapy and piperacillin/tazobactam was initiated as empirical therapy. Long-term therapy with piperacillin/tazobactam was necessary due to the formation of cavitary pneumonia secondary to Pseudomonas aeruginosa. A significant drug interaction was suspected during the patient’s first cycle of CODOX-M. The serum methotrexate concentration failed to decrease below 0.05 mmol/L and appeared to plateau around 0.2 mmol/L (Figure 1). Cytotoxic methotrexate concentrations were sustained for 8 days and were only abated (i.e. fell below 0.05 mmol/L) by the discontinuation of piperacillin/tazobactam. During the patient’s second cycle of CODOX-M, piperacillin/tazobactam was not administered and serum methotrexate levels declined appropriately. The patient’s serum creatinine concentrations (average and standard deviation of 0.46 – 0.07 mg/dL first cycle and 0.47 – 0.03 mg/dL second cycle) and concurrent medications, aside from piperacillin/tazobactam, did not differ between the two cycles of CODOX-M. Methotrexate total body clearance fell to only 3% of normal in the presence of piperacillin/tazobactam (Table 1). Following the patient’s next scheduled dose of intrathecal methotrexate, the peak serum methotrexate concentration was measured to be 0.44 mmol/L, well within the cytotoxic range. Fortunately, the patient was no longer receiving piperacillin/ tazobactam at that time, and serum methotrexate levels fell to below 0.05 mmol/L within 24 h. Many agents are known to prolong methotrexate elimination including probenecid, salicylates, non-steroidal anti-inflammatory drugs (NSAIDs) and weak organic acids. Penicillin is known to abolish tubular secretion of methotrexate in monkeys and reduce human organic anion transporter (hOAT)-mediated methotrexate elimination in an in vitro mouse model. Piperacillin was shown to reduce renal methotrexate clearance in rabbits as early as 1986. Only a single clinical case report of a piperacillin–methotrexate interaction has ever been documented. The weak organic acid and penicillin derivative, tazobactam, is also eliminated by glomerular filtration and tubular secretion; however, no evidence is available regarding its potential ability to impair methotrexate elimination. 0.01 0.1 1 10 10
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».