The fight against bacteria is one of the greatest challenges faced by societies, especially with the spread of multi drug resistant (MDR) bacteria. The failure to stop the spread of antimicrobial resistance (AMR) is due to a lack of fast detection methods and proper strategies. Novel, rapid and reliable detection and characterization tests are an urgent need for differentiating between bacterial and viral infections and identifying AMR, so that the most appropriate treatment can be given in a timely manner. AMR-DetecTool or NG Detectool is a detection system for the direct detection of AMR in clinical samples. The clinical sample is directly processed and a result indicating if the bacteria are resistant to the most relevant antibiotics is immediately shown. It allows for a dramatic reduction in the treatment decision time upon sample reception from 24 hours (current workflow) to 15-30 minutes.
The fight against bacteria is one of the greatest challenges faced by societies, especially with the spread of multi drug resistant (MDR) bacteria. Among these, the increasing rate of infections caused by Enterobacteriaceae that produce broad-spectrum β-lactamases (ESBLs) and carbapenemases is a major concern worldwide. Moreover, vancomycin-resistance among Enterococcus faecium isolates is becoming a cause of concern in European countries regardless of the geographical location. This increase is due to several factors: 1. Inappropriate use of antibiotics 2. Too late isolation of the carriers 3. Lack of institutional / hospital level strategies to fight antimicrobial resistance (AMR) 4. High transfer abilities due to plasmid-encoded resistance genes The failure to stop the spread of AMR is due to a lack of fast detection methods and proper strategies. Rapid detection and rapid characterization tests are an urgent need. European One Health Action Plan against AMR (2017) states that novel, rapid and reliable diagnostics are crucial for differentiating between bacterial and viral infections and identifying AMR, so that the most appropriate treatment can be given in a timely manner. AMR-DetecTool or NG Detectool is a detection system for the direct detection of β-lactamases and carbapenemases in clinical samples. It allows for a dramatic reduction in the treatment decision time upon sample reception from 24 hours (current workflow) to 15-30 minutes. When a clinical sample with infection suspicion is received at the microbiology laboratory, the techniques used to determine which the appropriate antibiotic is needed require the sample to be cultured for 16h-24h. Thanks to the DetecTool the culturing step is avoided as the sample is directly processed and a result indicating if the bacteria are resistant to the most relevant antibiotics is immediately shown. will be performed in parallel to routine testing on appropriate material of selected samples. No additional samples need to be requested to the participants.
Study Type
OBSERVATIONAL
Enrollment
167
AMR LFIA will be performed in parallel to routine testing on appropriate sample types retrieved from routine testing : Blood, urine, BronchoAlveolar Lavage (BAL), Tracheal Aspirate (TA), Rectal swab
Bicêtre hospital
Le Kremlin-Bicêtre, France
Semmelweis University
Budapest, Hungary
Hospital Clínic School of Medicine, University of Barcelona
Barcelona, Spain
Estimate the diagnostic accuracy of the NG DetecTool device in two populations: population 1 (CTX-M-multi, Carba 5), population 2 (Van A / B, Acinetobacter baumannii-specific oxacillinases (OXA- Ab)).
Accuracy indices will be for each whole test and for each enzyme: sensibility, specificity, positive and negative predictive values. The reference will be standard technics used in routine (usual cultures and antibiograms). The list of patients with discrepancies between the two tests will be edited for the laboratory to determine the resistance mechanisms of these strains, using polymerase chain reaction (PCR)and/or whole genome sequencing of the bacteria.
Time frame: AMR Detectool results will be obtained within 30 minutes after the patient is included in the study, and the results will be compared to those of the standard routine techniques, that usually require 48 hours.
Describe a diagnostic algorithm for the use of AMR-lateral flow immunoassay (LFIA), allowing thus a more efficient cost-saving patient-pathway structure in hospitals.
Cost-consequence analyses for the use of AMR LFIA over standard techniques based on time to results, cost, patient management and outcome analyses.
Time frame: For the entire study period through study completion, an average of 28 days, without censoring at 28 days if an admission is still ongoing.
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