| Literature DB >> 28458798 |
Florian P Maurer1,2, Martin Christner1, Moritz Hentschke3, Holger Rohde1.
Abstract
Early availability of information on bacterial pathogens and their antimicrobial susceptibility is of key importance for the management of infectious diseases patients. Currently, using traditional approaches, it usually takes at least 48 hours for identification and susceptibility testing of bacterial pathogens. Therefore, the slowness of diagnostic procedures drives prolongation of empiric, potentially inappropriate, antibacterial therapies. Over the last couple of years, the improvement of available techniques (e.g. for susceptibility testing, DNA amplification assays), and introduction of novel technologies (e.g. MALDI-TOF) has fundamentally changed approaches towards pathogen identification and characterization. Importantly, these techniques offer increased diagnostic resolution while at the same time shorten the time-to-result, and are thus of obvious importance for antimicrobial stewardship. In this review, we will discuss recent advances in medical microbiology with special emphasis on the impact of novel techniques on antimicrobial stewardship programs.Entities:
Keywords: MALDI-ToF; PCR; Rapid diagnostics; rapid susceptibility testing
Year: 2017 PMID: 28458798 PMCID: PMC5391540 DOI: 10.4081/idr.2017.6839
Source DB: PubMed Journal: Infect Dis Rep ISSN: 2036-7430
Advantages and disadvantages of different approaches to accelerated antimicrobial susceptibility testing using blood cultures as an example.
| Method | Time-to-result[ | Advantages | Disadvantages |
|---|---|---|---|
| Conventional AST (disk diffusion, manual broth microdilution, gradient tests) | 38-48 hours | Reference method; Established breakpoints; MIC distributions and epidemiological cut-off values available[ | Relatively slow; Expert knowledge on data interpretation required at all times; Laboratory is fully responsibility for quality control |
| Automated AST | 22 48 hours | Widely used method, large amount of validation data published; Pre-defined set of rules to support data interpretation (expert system); Detection of inducible resistance; Manufacturers responsible for product quality | Higher cost; No direct visual feedback, e.g. on incremental; development of drug resistance in follow-up samples |
| Direct AST | 14-24 hours | High-throughput testing possible; Free choice of compounds (unless an automated system is used); No additional equipment required | No systematically evaluated breakpoints; No standardized inoculum; Not controlled for polymicrobial infections; Not controlled for substances in the specimens that affect results |
| Rapid conventional AST | 18 32 hours | High-throughput testing possible; Free choice of compounds (unless an automated system is used) | No valid breakpoints; Inducible resistance may be missed; Additional equipment may be required (e.g. high-resolution cameras) |
| Novel approaches to phenotypic AST | 3-8 hours | Very short time-to-result (same working day); Some systems offer simultaneous species identification | Few commercial products available, additional equipment may be required; High throughput testing may be limited; Flexibility regarding choice of tested compounds may be limited; Breakpoint validation required |
| Genotypic AST | 1-5 hours[ | Very short time-to-result (same working day); Full flexibility and relatively low cost for in-house systems | Unambiguous genotype-phenotype relation required; No detection of novel resistance mechanisms; Little flexibility and relatively high cost for commercial systems; Laboratory is fully responsible for validation and quality control of in-house systems |
a Time-to-result was defined as the time required from blood culture positivity until the generation of an AST report. For estimates of the time-to-result, standard weekday working hours of 8 a.m. until 6 p.m. were taken as a basis.
b Breakpoint distributions for both minimal inhibitory concentrations and disc diffusion zone diameters available through the EUCAST website (httpyAvww.eucast.org/mic_distributions_and_ecoffs/).
c Depending on the assay format.