Evidence map›Paper›PMID 41071432›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2026

Adaptation and performance evaluation of the French society of microbiology algorithm for detection of carbapenemase-producing enterobacterales using VITEK2 antibiotic susceptibility testing system.

Charles Gibert, Jean Philippe Rasigade, Wael Salka, Tiphaine Roussel-Gaillard, Céline Dupieux-Chabert, Frédéric Laurent, François Vandenesch, Gérard Lina, Laurent Dortet, Olivier Dauwalder

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In one paragraph

Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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

1 citing paper in PubMed.

  1. Article
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.

Charles GibertHospices Civils de Lyon, Plateforme de Microbiologie 24/7, Institut des Agents Infectieux, Centre de Biologie et Pathologie Nord, Lyon, France. charles.gibert@chu-lyon.fr.ORCID http://orcid.org/0000-0001-5626-3553
Jean Philippe RasigadeHospices Civils de Lyon, Plateforme de Microbiologie 24/7, Institut des Agents Infectieux, Centre de Biologie et Pathologie Nord, Lyon, France.
Wael SalkaHospices Civils de Lyon, Plateforme de Microbiologie 24/7, Institut des Agents Infectieux, Centre de Biologie et Pathologie Nord, Lyon, France.
Tiphaine Roussel-GaillardHospices Civils de Lyon, Plateforme de Microbiologie 24/7, Institut des Agents Infectieux, Centre de Biologie et Pathologie Nord, Lyon, France.
Céline Dupieux-ChabertHospices Civils de Lyon, Plateforme de Microbiologie 24/7, Institut des Agents Infectieux, Centre de Biologie et Pathologie Nord, Lyon, France.
Frédéric LaurentHospices Civils de Lyon, Plateforme de Microbiologie 24/7, Institut des Agents Infectieux, Centre de Biologie et Pathologie Nord, Lyon, France.
François VandeneschHospices Civils de Lyon, Plateforme de Microbiologie 24/7, Institut des Agents Infectieux, Centre de Biologie et Pathologie Nord, Lyon, France.
Gérard LinaHospices Civils de Lyon, Plateforme de Microbiologie 24/7, Institut des Agents Infectieux, Centre de Biologie et Pathologie Nord, Lyon, France.
Laurent DortetCentre National de Référence pour la Résistance aux antibiotiques : Entérobactérales Productrices de Carbapénèmases, Le Kremlin-Bicêtre, France.
Olivier DauwalderHospices Civils de Lyon, Plateforme de Microbiologie 24/7, Institut des Agents Infectieux, Centre de Biologie et Pathologie Nord, Lyon, France.ORCID http://orcid.org/0000-0003-1722-1582

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCarbapenemase-producing Enterobacterales (CPE) must be closely tracked for their involvement in difficult-to-treat infections and outbreaks. Therefore, the screening process for detecting these strains must be optimal. This study aimed to evaluate the performance of an adapted version of the French CA-SFM algorithm for detecting CPE, using the VITEK2 automated system, and compare it to the standard VITEK2 CPE detection algorithm.

methodsA retrospective monocentric study was conducted from 2021 to 2023 at the Hospices Civils de Lyon microbiology platform. Antibiotic susceptibility testing results from 1 401 rectal screening swabs and 4 949 blood cultures were collected. CPE status was determined using biochemical and molecular confirmation tests, with whole genome sequencing for subtyping. The adapted CA-SFM algorithm evaluated susceptibility to ceftazidime-avibactam, temocillin, and carbapenems, while the standard VITEK2 algorithm relied solely on carbapenem MICs. Sensitivities, specificities, positive and negative predictive values (PPV, NPV) were statistically compared using Fisher's exact test.

resultsThe adapted CA-SFM algorithm demonstrated 100% sensitivity and NPV for both sample types, significantly outperforming the standard VITEK2 algorithm (97.1% sensitivity, p < 0.0001). In rectal swabs, the standard VITEK2 algorithm missed 38 CPE strains, while one CPE strain was undetected in blood cultures. Most missed detections involved OXA-48-like (20 OXA-48, 12 OXA-181) and 6 VIM-1 producers.

conclusionThe adapted CA-SFM algorithm offers enhanced detection of CPE, particularly for OXA-48-like strains with weak carbapenem hydrolysis, which are often missed by carbapenem MIC-based methods alone. Given the clinical risks of under-detection and transmission, implementing the adapted CA-SFM algorithm strategy could strengthen infection control and antimicrobial stewardship efforts.

Indexed as

AlgorithmsAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasesCarbapenem-Resistant EnterobacteriaceaeEnterobacteriaceaeEnterobacteriaceae InfectionsCarbapenemsFranceHumansMicrobial Sensitivity TestsRetrospective StudiesSensitivity and SpecificityAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasescarbapenemaseCarbapenemsAntibiotic susceptibility testingCarbapenemaseCarbapenems resistanceCA-SFMEnterobacterales

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Registered trials

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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.