Evidence map›Paper›PMID 10803457›Full record

ArticleClinical pharmacokinetics2000

A concept for pharmacokinetic-pharmacodynamic dosage adjustment in renal impairment: the case of aminoglycosides.

D Czock, M Giehl, F Keller

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Clinical pharmacokinetics, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact, top 100% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

D CzockMedical Department II, University Hospital, Ulm, Germany.
M Giehl
F Keller
Freie Universität Berlin · DEUniversity Hospital Ulm · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor patients with impaired renal function, dosage adjustment is necessary for many drugs. Adjustment with respect only to pharmacokinetic parameters may be insufficient.

objectiveTo apply the theory of pharmacokinetics and pharmacodynamics to derive a mathematical model that links the concentration-time course and the clinical response by means of the pharmacokinetic-pharmacodynamic parameter 'area under the effect-time curve' (AUETC), and to use this analysis and clinical data for aminoglycosides to calculate dosage adjustments in renal impairment.

methodsModel parameters were estimated for the antimicrobial and nephrotoxic effects of aminoglycosides on the basis of data from the literature. Effect parameters were calculated for various degrees of impaired renal function.

resultsUse of the model parameters gave a high correlation between the predicted and the observed (literature) values for antimicrobial efficacy and nephrotoxicity. When calculating dosage adjustments in renal impairment, it was possible to hold only one effect (antimicrobial or nephrotoxic) constant by dosage adjustment, whereas the other changed unfavourably. This was explained by differences between the pharmacodynamic parameters for each effect. For high antimicrobial efficacy, a target peak concentration of 9 mg/L (for gentamicin) should be obtained every 48 hours in advanced renal impairment. For low nephrotoxicity, the peak concentration should not exceed 3 mg/L.

conclusionsThe parameter AUETC could be a useful pharmacokinetic-pharmacodynamic surrogate marker for dosage adjustment in renal impairment. Using the AUETC method, the beneficial effect can be balanced against the adverse effect.

Indexed as

AlgorithmsAminoglycosidesAnti-Bacterial AgentsArea Under CurveHumansKidney DiseasesModels, BiologicalNonlinear DynamicsAminoglycosidesAnti-Bacterial Agents

Identifiers

PMID10803457
OpenAlexW7526706

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.