ArticleJournal of clinical microbiology2024
Performance of the LifeScale automated rapid phenotypic antimicrobial susceptibility testing on Gram-negative rods directly from positive blood cultures.
Article in Journal of clinical microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Plasmonic metasurface microfluidic accelerates redox reactions for rapid phenotypic antibiotic susceptibility testing.Science advances · 2026Article
- Evaluation of Q-linea ASTar rapid phenotypic antimicrobial susceptibility testing and potential impact in patients with gram-negative bloodstream infections.Microbiology spectrum · 2026Article
- Rapid phenotypic antimicrobial susceptibility testing of Gram-negative bloodstream isolates: clinical evaluation of the LifeScale AST system.BMC microbiology · 2026Article
- Rapid commercial CTX-M diagnostics: Performance, limitations and clinical impact.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Review
- Emerging technologies for rapid phenotypic antimicrobial susceptibility testing of clinical isolates of bacteria.Journal of clinical microbiology · 2025Review
- Diagnostic Innovations to Combat Antibiotic Resistance in Critical Care: Tools for Targeted Therapy and Stewardship.Diagnostics (Basel, Switzerland) · 2025Review
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rapid antimicrobial susceptibility testing (rAST) performed directly from blood cultures is essential to influencing the selection of appropriate antibiotics, preferably targeted therapy, for the treatment of bloodstream infections. Affinity Biosensors has developed the LifeScale, a phenotypic rAST system based on microfluidic sensors with a mechanical resonator that measures the mass of individual microbes. The combination of replication, biomass, and population profiling of individual microbes is analyzed to produce rAST results. The performance of the LifeScale was evaluated and compared to our current standard of care (SOC) antimicrobial susceptibility testing (AST) system under clinical conditions. The results indicated that the LifeScale is easy to use and provides rapid, reliable, and accurate AST results in less than 5 h directly from from positive blood cultures containing Gram-negative organisms listed in the current database. For all organism-antibiotic combinations involving polymicrobial cultures, LifeScale showed a resistant result when either mixed isolate was resistant. If these results prove to be robust on further testing, this may justify the reporting of rapid LifeScale results without the need for additional confirmatory testing. IMPORTANCE: This is the first clinical-based study of a unique technology using microfluidic sensors to generate rapid antimicrobial susceptibility test results directly from blood cultures containing Gram-negative rods. The issue of polymicrobial cultures was also addressed in this study, which, to our knowledge, has not been addressed in publications of other rapid phenotypic AST systems. Overall, LifeScale results compared favorably with the SOC in terms of overall agreement, especially categorical agreement.
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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.