Evidence map›Paper›PMID 30558639›Full record

ArticleCritical care (London, England)2018

Tigecycline in critically ill patients on continuous renal replacement therapy: a population pharmacokinetic study.

A Broeker, S G Wicha, C Dorn, A Kratzer, M Schleibinger, F Kees, A Heininger, M G Kees, H Häberle

Open access · goldAbstract read
In one paragraph

Article in Critical care (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
3.9field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Population Pharmacokinetics of Tigecycline: A Systematic Review.Drug design, development and therapy · 2022
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  15. Comparison of adsorption of selected antibiotics on the filters in continuous renal replacement therapy circuits: in vitro studies.Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

A BroekerDepartment of Clinical Pharmacy, Institute of Pharmacy, University of Hamburg, Bundesstraße 45, 20146, Hamburg, Germany.
S G WichaDepartment of Clinical Pharmacy, Institute of Pharmacy, University of Hamburg, Bundesstraße 45, 20146, Hamburg, Germany. sebastian.wicha@uni-hamburg.de.
C DornInstitute of Pharmacy, University of Regensburg, Universitätstr. 31, 93053, Regensburg, Germany.
A KratzerHospital Pharmacy, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany.
M SchleibingerDepartment of Orthopaedics and Trauma, Hospital Ingolstadt, Krumenauerstraße 25, 85049, Ingolstadt, Germany.
F KeesDepartment of Pharmacology and Toxicology, University of Regensburg, Universitätsstr. 31, 93053, Regensburg, Germany.
A HeiningerDepartment of Infectious Diseases, Medical Microbiology and Hygiene, Division Hospital and Environmental Hygiene, Heidelberg University Hospital, Im Neuenheimer Feld 324, 69120, Heidelberg, Germany.
M G KeesDepartment of Anesthesiology, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany.
H HäberleUniversity Department of Anesthesiology and Intensive Care Medicine, University Hospital Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany.
Universität Hamburg · DEUniversity Hospital Regensburg · DEUniversity of Regensburg · DEKlinikum Ingolstadt · DEUniversity Hospital Heidelberg · DE

Funding

Pfizer WS2030571
6 · The paper itself

Abstract

backgroundTigecycline is a vital antibiotic treatment option for infections caused by multiresistant bacteria in the intensive care unit (ICU). Acute kidney injury (AKI) is a common complication in the ICU requiring continuous renal replacement therapy (CRRT), but pharmacokinetic data for tigecycline in patients receiving CRRT are lacking.

methodsEleven patients mainly with intra-abdominal infections receiving either continuous veno-venous hemodialysis (CVVHD, n = 8) or hemodiafiltration (CVVHDF, n = 3) were enrolled, and plasma as well as effluent samples were collected according to a rich sampling schedule. Total and free tigecycline was determined by ultrafiltration and high-performance liquid chromatography (HPLC)-UV. Population pharmacokinetic modeling using NONMEM® 7.4 was used to determine the pharmacokinetic parameters as well as the clearance of CVVHD and CVVHDF. Pharmacokinetic/pharmacodynamic target attainment analyses were performed to explore the potential need for dose adjustments of tigecycline in CRRT.

resultsA two-compartment population pharmacokinetic (PK) model was suitable to simultaneously describe the plasma PK and effluent measurements of tigecycline. Tigecycline dialysability was high, as indicated by the high mean saturation coefficients of 0.79 and 0.90 for CVVHD and CVVHDF, respectively, and in range of the concentration-dependent unbound fraction of tigecycline (45-94%). However, the contribution of CRRT to tigecycline clearance (CL) was only moderate (CL

conclusionsDespite high dialysability, dialysis clearance displayed only a minor contribution to tigecycline elimination, being in the range of renal elimination in patients without AKI. No dose adjustment of tigecycline seems necessary in CRRT.

trial registrationEudraCT, 2012-005617-39 . Registered on 7 August 2013.

Indexed as

Acute Kidney InjuryAgedAnti-Bacterial AgentsCritical IllnessFemaleHemodiafiltrationHumansIntensive Care UnitsMaleMiddle AgedPharmacokineticsRenal Replacement TherapyTigecyclineAnti-Bacterial AgentsTigecyclineCVVHDCVVHDFDosingNONMEMPopulation pharmacokineticsRenal replacement therapyTigecycline

Identifiers

PMID30558639
PMCPMC6296114
OpenAlexW2904701053

What OpenQuestion holds

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LicenceCC BY
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.