Evidence map›Paper›PMID 26124172›Full record

ArticleAntimicrobial agents and chemotherapy2015

Meropenem population pharmacokinetics in critically ill patients with septic shock and continuous renal replacement therapy: influence of residual diuresis on dose requirements.

Marta Ulldemolins, Dolors Soy, Mireia Llaurado-Serra, Sergi Vaquer, Pedro Castro, Alejandro H Rodríguez, Caridad Pontes, Gonzalo Calvo, Antoni Torres, Ignacio Martín-Loeches

Open access · bronzeAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 3 pooled it
5.6field-weighted citation impact, top 4% 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

52 citing papers in PubMed, 3 syntheses or guidelines pooled it, 92 citations in OpenAlex.

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  19. Meropenem extraction by ex vivo extracorporeal life support circuits.The journal of extra-corporeal technology · 2023
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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

10 authors at 5 institutions in 2 countries.

Marta UlldemolinsFundació Privada Clínic per la Recerca Biomèdica, Barcelona, Spain Critical Care Department, Sabadell Hospital, University Institute Parc Taulí-Universitat Autònoma de Barcelona (UAB), Sabadell, Spain Universitat de Barcelona (UB), Barcelona, Spain marta.ulldemolins@gmail.com DSOY@clinic.ub.es.
Dolors SoyFundació Privada Clínic per la Recerca Biomèdica, Barcelona, Spain Universitat de Barcelona (UB), Barcelona, Spain Pharmacy Department, Hospital Clínic de Barcelona, Barcelona, Spain Centro de Investigación Biomédica En Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain marta.ulldemolins@gmail.com DSOY@clinic.ub.es.
Mireia Llaurado-SerraNursing Department, Universitat Rovira i Virgili (URV), Tarragona, Spain Critical Care Department, Joan XXIII University Hospital, Institut d'Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, Tarragona, Spain.
Sergi VaquerCritical Care Department, Sabadell Hospital, University Institute Parc Taulí-Universitat Autònoma de Barcelona (UAB), Sabadell, Spain.
Pedro CastroUniversitat de Barcelona (UB), Barcelona, Spain Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain Medical Critical Care Unit, Hospital Clínic de Barcelona, Barcelona, Spain.
Alejandro H RodríguezCentro de Investigación Biomédica En Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain Critical Care Department, Joan XXIII University Hospital, Institut d'Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, Tarragona, Spain.
Caridad PontesDepartment of Clinical Pharmacology, Sabadell Hospital, Institut Universitari Parc Taulí-Universitat Autònoma de Barcelona (UAB), Sabadell, Spain Pharmacology, Therapeutics and Toxicology Department, Universitat Autònoma de Barcelona (UAB), Sabadell, Spain.
Gonzalo CalvoUniversitat de Barcelona (UB), Barcelona, Spain Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain Department of Clinical Pharmacology, Hospital Clínic de Barcelona, Barcelona, Spain.
Antoni TorresFundació Privada Clínic per la Recerca Biomèdica, Barcelona, Spain Universitat de Barcelona (UB), Barcelona, Spain Centro de Investigación Biomédica En Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain Respiratory Critical Care Unit, Pneumology Department, Institut Clínic del Tòrax, Hospital Clínic de Barcelona, Barcelona, Spain.
Ignacio Martín-LoechesCritical Care Department, Sabadell Hospital, University Institute Parc Taulí-Universitat Autònoma de Barcelona (UAB), Sabadell, Spain Centro de Investigación Biomédica En Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain Multidisciplinary Intensive Care Research Organization (MICRO), Critical Care Department, St. James University Hospital, Trinity Centre for Health Sciences, Dublin, Ireland.
Universitat de Barcelona · ESDeleted InstitutionUniversidad Rovira i Virgili · ESCentro de Investigación Biomédica en Red de Enfermedades Respiratorias · ESHospital Clínic de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meropenem dosing in critically ill patients with septic shock and continuous renal replacement therapy (CRRT) is complex, with the recommended maintenance doses being 500 mg to 1,000 mg every 8 h (q8h) to every 12 h. This multicenter study aimed to describe the pharmacokinetics (PKs) of meropenem in this population to identify the sources of PK variability and to evaluate different dosing regimens to develop recommendations based on clinical parameters. Thirty patients with septic shock and CRRT receiving meropenem were enrolled (153 plasma samples were tested). A population PK model was developed with data from 24 patients and subsequently validated with data from 6 patients using NONMEM software (v.7.3). The final model was characterized by CL = 3.68 + 0.22 · (residual diuresis/100) and V = 33.00 · (weight/73)(2.07), where CL is total body clearance (in liters per hour), residual diuresis is the volume of residual diuresis (in milliliters per 24 h), and V is the apparent volume of distribution (in liters). CRRT intensity was not identified to be a CL modifier. Monte Carlo simulations showed that to maintain concentrations of the unbound fraction (fu ) of drug above the MIC of the bacteria for 40% of dosing interval T (referred to as 40% of the ƒ uT >MIC), a meropenem dose of 500 mg q8h as a bolus over 30 min would be sufficient regardless of the residual diuresis. If 100% of the ƒ uT >MIC was chosen as the target, oligoanuric patients would require 500 mg q8h as a bolus over 30 min for the treatment of susceptible bacteria (MIC < 2 mg/liter), while patients with preserved diuresis would require the same dose given as an infusion over 3 h. If bacteria with MICs close to the resistance breakpoint (2 to 4 mg/liter) were to be treated with meropenem, a dose of 500 mg every 6 h would be necessary: a bolus over 30 min for oligoanuric patients and an infusion over 3 h for patients with preserved diuresis. Our results suggest that residual diuresis may be an easy and inexpensive tool to help with titration of the meropenem dose and infusion time in this challenging population.

Indexed as

Critical IllnessRenal Replacement TherapyAgedAged, 80 and overAnti-Bacterial AgentsFemaleHumansMaleMeropenemMicrobial Sensitivity TestsMiddle AgedProspective StudiesShock, SepticThienamycinsAnti-Bacterial AgentsMeropenemThienamycins

Identifiers

PMID26124172
PMCPMC4538468
OpenAlexW1946252054

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.