Evidence map›Paper›PMID 30925922›Full record

GuidelineCritical care (London, England)2019

Optimization of the treatment with beta-lactam antibiotics in critically ill patients-guidelines from the French Society of Pharmacology and Therapeutics (Société Française de Pharmacologie et Thérapeutique-SFPT) and the French Society of Anaesthesia and Intensive Care Medicine (Société Française d'Anesthésie et Réanimation-SFAR).

Romain Guilhaumou, Sihem Benaboud, Youssef Bennis, Claire Dahyot-Fizelier, Eric Dailly, Peggy Gandia, Sylvain Goutelle, Sandrine Lefeuvre, Nicolas Mongardon, Claire Roger and 3 more

Registry-linked trialAbstract readReviewPractice Guideline
In one paragraph

Guideline in Critical care (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06369064 (Comparison of the Effectiveness of Continuous Veno-venous Hemodialysis and Continuous Veno-venous Hemodiafiltration on Urea Reduction Rate in Intensive Care Patients With Acute Renal Injury), which is not on this map. Cited by 253 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
253citing papers in PubMed, 9 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.

NCT06369064 narecruitingnot on this mapstarted 2024, after this paper: background citation

Comparison of the Effectiveness of Continuous Veno-venous Hemodialysis and Continuous Veno-venous Hemodiafiltration on Urea Reduction Rate in Intensive Care Patients With Acute Renal Injury : a Monocentric Controled Randomized Non Inferiority Open Labeled Study

TypeinterventionalSponsorCentre Hospitalier Universitaire de NīmesRan2024 to 2028Enrolled80ConditionsAcute Kidney Injury, Continuous Renal Replacement Therapy, Intensive Care UnitArmsCVVHD Dialysis parameters, CVVHDF Dialysis parameters
3 · Its place in the literature

Who cites it

253 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  2. Guideline
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  4. Updated antimicrobial dosing recommendations for obese patients.Antimicrobial agents and chemotherapy · 2024
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193 more citing papers are in PubMed but not listed here.

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

13 authors.

Romain GuilhaumouAP-HM Hôpital de la Timone, Service de Pharmacologie Clinique et Pharmacovigilance, 264 rue Saint Pierre, 13005, Marseille, France.
Sihem BenaboudAP-HP Hôpital Cochin, Service de Pharmacologie, 27 rue du Faubourg St-Jacques, 75679, Paris Cedex 14, France.
Youssef BennisCHU d'Amiens Picardie, Service de Pharmacologie Clinique, UPJV EA7517, Avenue Laennec, 80054, Amiens Cedex 1, France.
Claire Dahyot-FizelierCHU de Poitiers, Département d'Anesthésie Réanimation, 2 Rue de la Milétrie, 86021, Poitiers, France.
Eric DaillyCHU de Nantes, Département de Pharmacologie Clinique, 5 allée de l'île gloriette, 44093, Nantes Cedex 01, France.
Peggy GandiaCHU de Toulouse, Laboratoire de Pharmacocinétique et Toxicologie Clinique, Institut Fédératif de Biologie, 330, avenue de Grande-Bretagne, 31059, Toulouse cedex 9, France.
Sylvain GoutelleCHU de Lyon, Service de Pharmacie, Groupement Hospitalier Nord, Hôpital Pierre Garraud, 136 rue du Commandant Charcot, 69322, Lyon cedex 05, France.
Sandrine LefeuvreCHR d'Orléans, Laboratoire de Biochimie, 14 Avenue de l'Hôpital, 45067, Orléans, France.
Nicolas MongardonAP-HP Hôpital Henri Mondor, Département d'Anesthésie-Réanimation, 51 Avenue du Maréchal de Lattre de Tassigny, 94000, Créteil, France.
Claire RogerCHU de Nîmes, Département d'anesthésie, réanimation, douleur et médicine d'urgence, Place du Pr Robert Debré, 30029, Nîmes cedex 9, France.
Julien Scala-BertolaCHRU de Nancy, Département de pharmacologie clinique et de toxicologie, 29 rue Lionnois, 54000, Nancy, France.
Florian LemaitreCHU Pontchaillou, Service de Pharmacologie Clinique et épidémiologique, 2 Rue Henri le Guilloux, 35000, Rennes, France.
Marc GarnierAP-HP Hôpital Tenon, Département d'Anesthésie et Réanimation, 4 rue de la Chine, 75020, Paris, France. marcgarnier@gmail.com.ORCID http://orcid.org/0000-0002-5716-4239

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBeta-lactam antibiotics (βLA) are the most commonly used antibiotics in the intensive care unit (ICU). ICU patients present many pathophysiological features that cause pharmacokinetic (PK) and pharmacodynamic (PD) specificities, leading to the risk of underdosage. The French Society of Pharmacology and Therapeutics (SFPT) and the French Society of Anaesthesia and Intensive Care Medicine (SFAR) have joined forces to provide guidelines on the optimization of beta-lactam treatment in ICU patients.

methodsA consensus committee of 18 experts from the two societies had the mission of producing these guidelines. The entire process was conducted independently of any industry funding. A list of questions formulated according to the PICO model (Population, Intervention, Comparison, and Outcomes) was drawn-up by the experts. Then, two bibliographic experts analysed the literature published since January 2000 using predefined keywords according to PRISMA recommendations. The quality of the data identified from the literature was assessed using the GRADE® methodology. Due to the lack of powerful studies having used mortality as main judgement criteria, it was decided, before drafting the recommendations, to formulate only "optional" recommendations.

resultsAfter two rounds of rating and one amendment, a strong agreement was reached by the SFPT-SFAR guideline panel for 21 optional recommendations and a recapitulative algorithm for care covering four areas: (i) pharmacokinetic variability, (ii) PK-PD relationship, (iii) administration modalities, and (iv) therapeutic drug monitoring (TDM). The most important recommendations regarding βLA administration in ICU patients concerned (i) the consideration of the many sources of PK variability in this population; (ii) the definition of free plasma concentration between four and eight times the Minimal Inhibitory Concentration (MIC) of the causative bacteria for 100% of the dosing interval as PK-PD target to maximize bacteriological and clinical responses; (iii) the use of continuous or prolonged administration of βLA in the most severe patients, in case of high MIC bacteria and in case of lower respiratory tract infection to improve clinical cure; and (iv) the use of TDM to improve PK-PD target achievement.

conclusionsThe experts strongly suggest the use of personalized dosing, continuous or prolonged infusion and therapeutic drug monitoring when administering βLA in critically ill patients.

Indexed as

beta-LactamasesAnti-Bacterial AgentsCritical IllnessDrug Dosage CalculationsDrug MonitoringFranceGlomerular Filtration RateHumansIntensive Care UnitsSerum AlbuminSocieties, MedicalSocieties, PharmaceuticalTreatment OutcomeAnti-Bacterial Agentsbeta-LactamasesSerum AlbuminBeta-lactam antibioticsContinuous infusionDosagePharmacodynamicsPharmacokineticsTherapeutic drug monitoring

Identifiers

PMID30925922
PMCPMC6441232

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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.