Diagnostic accuracy of rapid molecular tests for detecting antimicrobial resistance in bloodstream infections: a systematic review

Background: Rapid molecular tests (RMTs) accelerate antimicrobial resistance detection in bloodstream infections, and accuracy differs by target. This systematic review evaluated diagnostic performance. Methods: We searched PubMed, Scopus, Web of Science, and Embase for original studies assessing RMTs for resistance detection in bloodstream infections (BSIs) using positive blood cultures or whole blood. Eligible studies compared assays with conventional microbiology, phenotypic susceptibility testing, molecular methods, or combined standards. We extract data on assay characteristics, resistance targets, diagnostic outcomes, turnaround time, and clinical impact. Results: We include nine studies involving 2,439 samples. Platforms included FilmArray/BCID, Verigene BC-GP/BC-GN, BIOFIRE BCID2, T2Resistance, and the Molecular Mouse System. Performance was high for covered organisms and resistance markers. BCID2 showed 98.9% sensitivity and 99.6% specificity for organism targets, with 97.9% positive percent agreement and 99.9% negative percent agreement for resistance determinants. T2Resistance showed 100% sensitivity for several genes and shorter time to detection than conventional methods. Lower performance was reported in polymicrobial cultures and when resistance mechanisms were outside assay panels. Conclusion: RMTs are adjuncts for early resistance detection in BSIs and shorten time to results. They should complement conventional culture and susceptibility testing because limited target coverage, off-panel organisms, and imperfect genotype-phenotype correlation is important constraints.

Authors

Institutions

Publication Details

Published
2026-04-12
DOI
https://doi.org/10.65759/9dmxec61
Primary Topic
Bacterial Identification and Susceptibility Testing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diagnostic accuracy of rapid molecular tests for detecting antimicrobial resistance in bloodstream infections: a systematic review

Mazi Mohammed Alanazi, Duha Ahmed Momen
Bacterial Identification and Susceptibility Testing
article

Diagnostic accuracy of rapid molecular tests for detecting antimicrobial resistance in bloodstream infections: a systematic review

Mazi Mohammed Alanazi, Duha Ahmed Momen
article en

Abstract

Background: Rapid molecular tests (RMTs) accelerate antimicrobial resistance detection in bloodstream infections, and accuracy differs by target. This systematic review evaluated diagnostic performance. Methods: We searched PubMed, Scopus, Web of Science, and Embase for original studies assessing RMTs for resistance detection in bloodstream infections (BSIs) using positive blood cultures or whole blood. Eligible studies compared assays with conventional microbiology, phenotypic susceptibility testing, molecular methods, or combined standards. We extract data on assay characteristics, resistance targets, diagnostic outcomes, turnaround time, and clinical impact. Results: We include nine studies involving 2,439 samples. Platforms included FilmArray/BCID, Verigene BC-GP/BC-GN, BIOFIRE BCID2, T2Resistance, and the Molecular Mouse System. Performance was high for covered organisms and resistance markers. BCID2 showed 98.9% sensitivity and 99.6% specificity for organism targets, with 97.9% positive percent agreement and 99.9% negative percent agreement for resistance determinants. T2Resistance showed 100% sensitivity for several genes and shorter time to detection than conventional methods. Lower performance was reported in polymicrobial cultures and when resistance mechanisms were outside assay panels. Conclusion: RMTs are adjuncts for early resistance detection in BSIs and shorten time to results. They should complement conventional culture and susceptibility testing because limited target coverage, off-panel organisms, and imperfect genotype-phenotype correlation is important constraints.

Vol. 3(1)
Taif University (SA), Saudi Commission for Health Specialties (SA), King Faisal University (SA)
Good health and well-being
Openalex Percentile: Top 5%
Bacterial Identification and Susceptibility Testing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.