Evidence map›Paper›PMID 29808350›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2018

Evaluation of the Accelerate Pheno™ system for rapid identification and antimicrobial susceptibility testing of Gram-negative bacteria in bloodstream infections.

Ghislaine Descours, Laurent Desmurs, Thi Lam Thuy Hoang, Marine Ibranosyan, Maud Baume, Anne-Gaëlle Ranc, Christine Fuhrmann, Olivier Dauwalder, Waël Salka, François Vandenesch

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Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
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  9. An improved protocol for bacteria identification by MALDI-TOF MS directly from positive blood cultures.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
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  17. Performance evaluation of AlfredEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2021
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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 2 institutions in 3 countries.

Ghislaine DescoursHospices Civils de Lyon, Groupement Hospitalier Nord, Microbiology Laboratory, Institute for Infectious Agents, Lyon, France. ghislaine.descours@univ-lyon1.fr.ORCID http://orcid.org/0000-0001-5745-5186
Laurent DesmursHospices Civils de Lyon, Groupement Hospitalier Nord, Microbiology Laboratory, Institute for Infectious Agents, Lyon, France.
Thi Lam Thuy HoangHospices Civils de Lyon, Groupement Hospitalier Nord, Microbiology Laboratory, Institute for Infectious Agents, Lyon, France.
Marine IbranosyanHospices Civils de Lyon, Groupement Hospitalier Nord, Microbiology Laboratory, Institute for Infectious Agents, Lyon, France.
Maud BaumeHospices Civils de Lyon, Groupement Hospitalier Nord, Microbiology Laboratory, Institute for Infectious Agents, Lyon, France.
Anne-Gaëlle RancHospices Civils de Lyon, Groupement Hospitalier Nord, Microbiology Laboratory, Institute for Infectious Agents, Lyon, France.
Christine FuhrmannHospices Civils de Lyon, Groupement Hospitalier Nord, Microbiology Laboratory, Institute for Infectious Agents, Lyon, France.
Olivier DauwalderHospices Civils de Lyon, Groupement Hospitalier Nord, Microbiology Laboratory, Institute for Infectious Agents, Lyon, France.
Waël SalkaHospices Civils de Lyon, Groupement Hospitalier Nord, Microbiology Laboratory, Institute for Infectious Agents, Lyon, France.
François VandeneschHospices Civils de Lyon, Groupement Hospitalier Nord, Microbiology Laboratory, Institute for Infectious Agents, Lyon, France.
Hospices Civils de Lyon · FRUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification and antimicrobial susceptibility testing (AST) are critical steps in the management of bloodstream infections. Our objective was to evaluate the performance of the Accelerate Pheno™ System, CE v1.2 software, for identification and AST of Gram-negative pathogens from positive blood culture bottles. A total of 104 bottles positive for Gram-negative bacteria collected from inpatients throughout our institution were randomly selected after Gram staining. The time-to-identification and AST results, and the raw AST results obtained by the Accelerate Pheno™ system and routine techniques (MALDI-TOF MS and VITEK®2, EUCAST guidelines) were compared. Any discrepant AST result was tested by microdilution. The Pheno™ significantly improved turn-around times for identification (5.3 versus 23.7 h; p < 0.0001) and AST (10.7 versus 35.1 h; p < 0.0001). Complete agreement between the Accelerate Pheno™ system and the MALDI-TOF MS for identification was observed for 96.2% of samples; it was 99% (98/99) for monomicrobial samples versus 40% (3/5) for polymicrobial ones. The overall categorical agreement for AST was 93.7%; it was notably decreased for beta-lactams (cefepime 84.4%, piperacillin-tazobactam 86.5%, ceftazidime 87.6%) or Pseudomonas aeruginosa (71.9%; with cefepime 33.3%, piperacillin-tazobactam 77.8%, ceftazidime 0%). Analysis of discrepant results found impaired performance of the Accelerate Pheno™ system for beta-lactams (except cefepime) in Enterobacteriales (six very major errors) and poor performance in P. aeruginosa. The Accelerate Pheno™ system significantly improved the turn-around times for bloodstream infection diagnosis. Nonetheless, improvements in the analysis of polymicrobial samples and in AST algorithms, notably beta-lactam testing in both P. aeruginosa and Enterobacteriales, are required for implementation in routine workflow.

Indexed as

Bacterial Typing TechniquesMicrobial Sensitivity TestsAdolescentAdultAgedAged, 80 and overAnti-Bacterial AgentsBacteremiaChildChild, PreschoolGram-Negative BacteriaGram-Negative Bacterial InfectionsHumansInfantInfant, NewbornMiddle AgedAnti-Bacterial AgentsAccelerate Pheno™ systemAntimicrobial susceptibility testingBacteremiaBloodstream infectionsGram-negative bacteriaSepsis

Identifiers

PMID29808350
OpenAlexW2807354847

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.