Evidence map›Paper›PMID 21039762›Full record

ArticleBritish journal of clinical pharmacology2010

Nonlinear pharmacokinetics of piperacillin in healthy volunteers--implications for optimal dosage regimens.

Jürgen B Bulitta, Martina Kinzig, Verena Jakob, Ulrike Holzgrabe, Fritz Sörgel, Nicholas H G Holford

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Article in British journal of clinical pharmacology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Trial
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  3. Piperacillin Pharmacokinetics in a Pediatric Patient With Primary Hyperoxaluria Receiving High-Dose Continuous Dialysis Post Liver-Kidney Transplant.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jürgen B BulittaIBMP -Institute for Biomedical and Pharmaceutical Research, Paul-Ehrlich-Str. 19, D-90562 Nürnberg-Heroldsberg, Germany.
Martina Kinzig
Verena Jakob
Ulrike Holzgrabe
Fritz Sörgel
Nicholas H G Holford

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims(i) To describe the first-order and mixed-order elimination pathways of piperacillin, (ii) to determine the between occasion variability (BOV) of pharmacokinetic parameters and (iii) to propose optimized dosage regimens.

methodsWe performed a five-period replicate dose study in four healthy volunteers. Each subject received 4g piperacillin as a single 5min intravenous infusion in each study period. Drug analysis was performed by HPLC. We used NONMEM and S-ADAPT for population pharmacokinetic analysis and Monte Carlo simulation to predict the probability of target attainment (PTA) with a target time of non-protein bound concentration above MIC >50% of the dosing interval.

resultsA model with first-order nonrenal elimination and parallel first-order and mixed-order renal elimination had the best predictive performance. For a 70kg subject we estimated 4.40lh(-1) for nonrenal clearance, 5.70lh(-1) for first-order renal clearance, 170mgh(-1) for V(max) , and 49.7mgl(-1) for K(m) for the mixed-order renal elimination. The BOV was 39% for V(max) , 117% for K(m) , and 8.5% for total clearance. A 30min infusion of 4g every 6h achieved robust (≥90%) PTAs for MICs ≤12mgl(-1) . As an alternative mode of administration, a 5h infusion of 6g every 8h achieved robust PTAs for MICs ≤48mgl(-1) .

conclusionsPart of the renal elimination of piperacillin is saturable at clinically used doses. The BOV of total clearance and volume of distribution were low. Prolonged infusions achieved better PTAs compared with shorter infusions at similar daily doses. This benefit was most pronounced for MICs between 12 and 48mgl(-1) .

Indexed as

AdultAnti-Bacterial AgentsChromatography, High Pressure LiquidFemaleHumansInfusions, IntravenousMaleMetabolic Clearance RateModels, StatisticalMonte Carlo MethodPiperacillinYoung AdultAnti-Bacterial AgentsPiperacillin

Identifiers

PMID21039762
PMCPMC2997308

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.