Evidence map›Paper›PMID 17201459›Full record

ArticleClinical pharmacokinetics2007

Clinical scoring system for the prediction of target site penetration of antimicrobials in patients with sepsis.

Barbara S Zeitlinger, Markus Zeitlinger, Irmgard Leitner, Markus Müller, Christian Joukhadar

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Article in Clinical pharmacokinetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. [Tissue penetration of antibiotics. Does the treatment reach the target site?].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2014
    Review
  6. Article
  7. Article
  8. Review
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Barbara S ZeitlingerDepartment of Clinical Pharmacology, Division of Clinical Pharmacokinetics, Medical University of Vienna, Vienna, Austria.
Markus Zeitlinger
Irmgard Leitner
Markus Müller
Christian Joukhadar

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe present study investigated the usefulness of routinely employed scoring systems in predicting tissue penetration of antimicrobials. In addition, a novel, easy to use scoring system was designed for the estimation of tissue penetration of antimicrobials in patients with sepsis.

methodsTissue pharmacokinetics were assessed in skeletal muscle and subcutaneous adipose tissue by use of the microdialysis technique in 34 patients with sepsis. Tissue penetration of antimicrobials was retrospectively determined by the ratios of the area under the concentration-time curves (AUC) in soft tissues (AUCtissue) to the AUC in plasma (AUCplasma). Mortality and sepsis scores currently used in intensive care were consecutively calculated and correlated with the AUCtissue:AUCplasma ratio. Single laboratory and clinical parameters showing the highest correlation with tissue penetration were identified and used in the novel Tissue Penetration Prediction Score (TPPS).

resultsThe currently used scoring systems Simplified Acute Physiology Scores 3 (r=-0.33, p=0.006), Acute Physiology and Chronic Health Evaluation III (r=-0.27, p=0.03) and Sepsis-Related (or Sequential) Organ Failure Assessment (r=-0.32, p=0.01) showed significant overall correlations with tissue penetration. However, their predictive power for the concentrations of antimicrobials in muscle tissue was not satisfying. The parameters oxygen saturation, serum lactate concentration and the dose per time unit of norepinephrine (noradrenaline) administered showed the best correlation with tissue penetration and were used in the TPPS. Its overall correlation (r=-0.52, p=0.000007) as well as correlations for the concentrations of antimicrobials in muscle (r=-0.46, p=0.006) and adipose tissue (r=-0.59, p=0.0003) were better than the currently used scoring systems.

conclusionThe TPPS may prove to be a powerful tool for the estimation of antimicrobial tissue penetration at the bedside in septic patients. This score may allow for adequate individual dose adjustment in septic patients. However, this needs to be verified in subsequent prospective clinical trials.

Indexed as

Adipose TissueAnti-Infective AgentsArea Under CurveHumansMicrodialysisMuscle, SkeletalSepsisTissue DistributionAnti-Infective Agents

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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.