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Record W2055524368 · doi:10.1093/jac/dkl196

Pharmacokinetic interaction between methotrexate and piperacillin/tazobactam resulting in prolonged toxic concentrations of methotrexate

2006· letter· en· W2055524368 on OpenAlexaff
Ryan Zarychanski

Bibliographic record

VenueJournal of Antimicrobial Chemotherapy · 2006
Typeletter
Languageen
FieldMedicine
TopicNeutropenia and Cancer Infections
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPiperacillin/tazobactamMethotrexatePiperacillinTazobactamPharmacokineticsBeta-Lactamase InhibitorsMedicinePharmacologyDrug interactionAntibioticsChemistryInternal medicineBiologyBacteriaBiochemistry

Abstract

fetched live from OpenAlex

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

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.143
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.327
Teacher spread0.299 · 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

Citations51
Published2006
Admission routes1
Has abstractyes

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