Evidence map›Paper›PMID 24768475›Full record

ReviewThe Lancet. Infectious diseases2014

Individualised antibiotic dosing for patients who are critically ill: challenges and potential solutions.

Jason A Roberts, Mohd H Abdul-Aziz, Jeffrey Lipman, Johan W Mouton, Alexander A Vinks, Timothy W Felton, William W Hope, Andras Farkas, Michael N Neely, Jerome J Schentag and 5 more

3 registry-linked trialsAbstract readReview
In one paragraph

Review in The Lancet. Infectious diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 484 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
484citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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.

NCT03410771 completednot on this mapstarted 2015, after this paper: background citation

Bioelectrical Impedance Analysis as a Bedside Tool to Estimate Volume of Distribution of Hydrophilic Antimicrobials in Critically Ill Patients

TypeobservationalSponsorUniversitaire Ziekenhuizen KU LeuvenRan2015 to 2016Enrolled68ConditionsElectric Impedance, Pharmacokinetics, Capillary Leak SyndromeArmsMonitor antibiotic exposure (PK profile), Bioelectrical impedance analysis to measure body composition
NCT03440216 naunknown statusnot on this mapstarted 2018, after this paper: background citation

Population Pharmacokinetics and Pharmacodynamics of Beta-lactams of Interest in Adult Patients From Intensive Care Units

TypeinterventionalSponsorUniversité Catholique de LouvainRan2018 to 2022Enrolled20ConditionsPharmacokinetics, Anti-Bacterial Agents, Infection, Bacterial, Infections, RespiratoryArmsblood sampling, Tissue sampling (lung), Collection of fluid samples
NCT06338345 nanot yet recruitingnot on this mapstarted 2024, after this paper: background citation

Pharmacokinetics and Modelling of Beta-Lactam in Patients Undergoing Veno-Arterial Extracorporeal Membrane Oxygenation (VA-ECMO)

TypeinterventionalSponsorUniversity Hospital, GrenobleRan2024 to 2028Enrolled225ConditionsCardiogenic Shock, Post-cardiac Surgery, Cardiac Arrest, Extracorporeal Membrane Oxygenation ComplicationArmsTherapeutic drug monitoring of beta-lactam
3 · Its place in the literature

Who cites it

484 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  12. The PRECISE framework: a structured approach to antibiogram interpretation for antimicrobial optimization at the bedside.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2026
    Review
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424 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Jason A RobertsBurns, Trauma and Critical Care Research Centre, The University of Queensland, Brisbane, QLD, Australia; Department of Intensive Care Medicine, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia. Electronic address: j.roberts2@uq.edu.au.
Mohd H Abdul-AzizBurns, Trauma and Critical Care Research Centre, The University of Queensland, Brisbane, QLD, Australia.
Jeffrey LipmanBurns, Trauma and Critical Care Research Centre, The University of Queensland, Brisbane, QLD, Australia; Department of Intensive Care Medicine, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia.
Johan W MoutonNijmegen Medical Centre, Radboud University, Nijmegen, Netherlands.
Alexander A VinksDepartment of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA.
Timothy W FeltonFaculty of Science, University of Manchester, Manchester, UK.
William W HopeDepartment of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool, UK.
Andras FarkasDepartment of Pharmacy, Nyack Hospital, Nyack, NY, USA.
Michael N NeelyLaboratory of Applied Pharmacokinetics, University of Southern California, Los Angeles, CA, USA.
Jerome J SchentagSchool of Pharmacy, University of Buffalo, Buffalo, NY, USA.
George DrusanoInstitute for Therapeutic Innovation, College of Medicine, Department of Medicine, University of Florida, Gainesville, FL, USA.
Otto R FreyDepartment of Pharmacy, Heidenheim Hospital, Heidenheim, Germany.
Ursula TheuretzbacherCenter for Anti-Infective Agents, Vienna, Austria.
Joseph L KutiCenter for Anti-Infective Research and Development, Hartford Hospital, Hartford, CT, USA.
International Society of Anti-Infective Pharmacology and the Pharmacokinetics and Pharmacodynamics Study Group of the European Society of Clinical Microbiology and Infectious Diseases

Funding

Yersinia PestisP01AI060908 · NIAID · ORDWAY RESEARCH INSTITUTE, INC. · PI DRUSANO, GEORGE LOUIS · 2005 to 2009
$8.8M
Populaton Pharmacokinetic Modeling and Optimal ControlR01GM068968 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NEELY, MICHAEL N. · 2003 to 2015
$3.9M
Resistance Suppression for P. Aeruginosa using Novel Combination Therapy ModelingR01AI079578 · NIAID · UNIVERSITY OF FLORIDA · PI DRUSANO, GEORGE LOUIS, LOUIE, ARNOLD · 2008 to 2011
$2.9M
Ontogeny of Voriconazole Pharmaockinetics and MetabolismR01HD070886 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NEELY, MICHAEL N. · 2012 to 2016
$2.5M
Department of Health CS/08/08/10Medical Research Council G1000417Medical Research Council G1000417/94909NIAID NIH HHS P01 AI060908NIAID NIH HHS R01 AI079578NICHD NIH HHS R01 HD070886NIGMS NIH HHS R01 GM068968
6 · The paper itself

Abstract

Infections in critically ill patients are associated with persistently poor clinical outcomes. These patients have severely altered and variable antibiotic pharmacokinetics and are infected by less susceptible pathogens. Antibiotic dosing that does not account for these features is likely to result in suboptimum outcomes. In this Review, we explore the challenges related to patients and pathogens that contribute to inadequate antibiotic dosing and discuss how to implement a process for individualised antibiotic therapy that increases the accuracy of dosing and optimises care for critically ill patients. To improve antibiotic dosing, any physiological changes in patients that could alter antibiotic concentrations should first be established; such changes include altered fluid status, changes in serum albumin concentrations and renal and hepatic function, and microvascular failure. Second, antibiotic susceptibility of pathogens should be confirmed with microbiological techniques. Data for bacterial susceptibility could then be combined with measured data for antibiotic concentrations (when available) in clinical dosing software, which uses pharmacokinetic/pharmacodynamic derived models from critically ill patients to predict accurately the dosing needs for individual patients. Individualisation of dosing could optimise antibiotic exposure and maximise effectiveness.

Indexed as

Anti-Bacterial AgentsCritical IllnessDrug Dosage CalculationsHumansMicrobial Sensitivity TestsPrecision MedicineAnti-Bacterial Agents

Identifiers

PMID24768475
PMCPMC4181663

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.