scholarly journals Emerging Microtechnologies and Automated Systems for Rapid Bacterial Identification and Antibiotic Susceptibility Testing

2017 ◽  
Vol 22 (6) ◽  
pp. 585-608 ◽  
Author(s):  
Yiyan Li ◽  
Xing Yang ◽  
Weian Zhao
Keyword(s):  
Antibiotic Susceptibility ◽  
Susceptibility Testing ◽  
Point Of Care ◽  
Single Cells ◽  
Turnaround Time ◽  
Resistant Bacteria ◽  
Representative Point ◽  
Antibiotic Susceptibility Testing ◽  
Bacterial Identification ◽  
Automated Systems

Rapid bacterial identification (ID) and antibiotic susceptibility testing (AST) are in great demand due to the rise of drug-resistant bacteria. Conventional culture-based AST methods suffer from a long turnaround time. By necessity, physicians often have to treat patients empirically with antibiotics, which has led to an inappropriate use of antibiotics, an elevated mortality rate and healthcare costs, and antibiotic resistance. Recent advances in miniaturization and automation provide promising solutions for rapid bacterial ID/AST profiling, which will potentially make a significant impact in the clinical management of infectious diseases and antibiotic stewardship in the coming years. In this review, we summarize and analyze representative emerging micro- and nanotechnologies, as well as automated systems for bacterial ID/AST, including both phenotypic (e.g., microfluidic-based bacterial culture, and digital imaging of single cells) and molecular (e.g., multiplex PCR, hybridization probes, nanoparticles, synthetic biology tools, mass spectrometry, and sequencing technologies) methods. We also discuss representative point-of-care (POC) systems that integrate sample processing, fluid handling, and detection for rapid bacterial ID/AST. Finally, we highlight major remaining challenges and discuss potential future endeavors toward improving clinical outcomes with rapid bacterial ID/AST technologies.

scholarly journals Antibiotic susceptibility testing in less than 30 min using direct single-cell imaging

2017 ◽  
Vol 114 (34) ◽  
pp. 9170-9175 ◽  
Author(s):  
Özden Baltekin ◽  
Alexis Boucharin ◽  
Eva Tano ◽  
Dan I. Andersson ◽  
Johan Elf
Keyword(s):  
Growth Rate ◽  
Urinary Tract Infection ◽  
Urinary Tract ◽  
Tract Infection ◽  
Antibiotic Susceptibility ◽  
Susceptibility Testing ◽  
Point Of Care ◽  
Resistant Bacteria ◽  
Antibiotic Susceptibility Testing ◽  
Tract Infections

The emergence and spread of antibiotic-resistant bacteria are aggravated by incorrect prescription and use of antibiotics. A core problem is that there is no sufficiently fast diagnostic test to guide correct antibiotic prescription at the point of care. Here, we investigate if it is possible to develop a point-of-care susceptibility test for urinary tract infection, a disease that 100 million women suffer from annually and that exhibits widespread antibiotic resistance. We capture bacterial cells directly from samples with low bacterial counts (104 cfu/mL) using a custom-designed microfluidic chip and monitor their individual growth rates using microscopy. By averaging the growth rate response to an antibiotic over many individual cells, we can push the detection time to the biological response time of the bacteria. We find that it is possible to detect changes in growth rate in response to each of nine antibiotics that are used to treat urinary tract infections in minutes. In a test of 49 clinical uropathogenic Escherichia coli (UPEC) isolates, all were correctly classified as susceptible or resistant to ciprofloxacin in less than 10 min. The total time for antibiotic susceptibility testing, from loading of sample to diagnostic readout, is less than 30 min, which allows the development of a point-of-care test that can guide correct treatment of urinary tract infection.

Rapid electrochemical phenotypic profiling of antibiotic-resistant bacteria

Lab on a Chip ◽  
2015 ◽  
Vol 15 (13) ◽  
pp. 2799-2807 ◽  
Author(s):  
Justin D. Besant ◽  
Edward H. Sargent ◽  
Shana O. Kelley
Keyword(s):  
Antibiotic Susceptibility ◽  
Susceptibility Testing ◽  
Resistant Bacteria ◽  
Antibiotic Susceptibility Testing ◽  
Antibiotic Resistant Bacteria ◽  
Antibiotic Resistant ◽  
On Chip

Concentrating bacteria in nanoliter culture chambers enables rapid electrochemical antibiotic susceptibility testing on-chip.

scholarly journals A simple blood-culture bacterial pellet preparation for faster accurate direct bacterial identification and antibiotic susceptibility testing with the VITEK 2 system

2013 ◽  
Vol 62 (5) ◽  
pp. 773-777 ◽  
Author(s):  
Guy Prod’hom ◽  
Christian Durussel ◽  
Gilbert Greub
Keyword(s):  
Ammonium Chloride ◽  
Antibiotic Susceptibility ◽  
Susceptibility Testing ◽  
Blood Cultures ◽  
Correct Identification ◽  
Antibiotic Susceptibility Testing ◽  
Bacterial Identification ◽  
Lower Accuracy ◽  
Direct Inoculation ◽  
Vitek 2

An ammonium chloride procedure was used to prepare a bacterial pellet from positive blood cultures, which was used for direct inoculation of VITEK 2 cards. Correct identification reached 99 % for Enterobacteriaceae and 74 % for staphylococci. For antibiotic susceptibility testing, very major and major errors were 0.1 and 0.3 % for Enterobacteriaceae, and 0.7 and 0.1 % for staphylococci, respectively. Thus, bacterial pellets prepared with ammonium chloride allow direct inoculation of VITEK cards with excellent accuracy for Enterobacteriaceae and a lower accuracy for staphylococci.

scholarly journals Potential Role of Door Handles in the Spread of Drug Resistant Bacteria in Makerere University.

2021 ◽  
Author(s):  
◽  
Immaculate Nabawanuka
Keyword(s):  
Escherichia Coli ◽  
Antibiotic Susceptibility ◽  
Pathogenic Bacteria ◽  
Susceptibility Testing ◽  
Bacterial Load ◽  
Plate Count ◽  
Diffusion Method ◽  
Resistant Bacteria ◽  
Antibiotic Susceptibility Testing ◽  
Makerere University

Background: The transmission of diseases caused by pathogenic bacteria is still a threat. One of the potential sources of bacterial diseases is the door handles. This study aimed at isolating, identifying bacteria, determining total bacterial load, and determining antibiotic susceptibility patterns of bacteria obtained from door handles in Makerere university. Methodology:  A total of 60 samples randomly scattered within the university were swabbed and analyzed for bacterial growth. Samples were inoculated on MacConkey and blood agar and then incubated at 37 ºC for 24 hours. All sample isolates were sub cultured and identified based on macro and micromorphology, and standard biochemical tests. The establishment of the total bacterial load was done using the standard plate count method. Antibiotic susceptibility testing was done using the disc diffusion method on Muller Hilton agar. Results: The following bacterial species and genera were obtained from door handles, staphylococcus aureus (30.8%), Coagulase-negative staphylococcus (12.0%), Streptococcus species (24.2%), Escherichia coli (7.7%), Pseudomonas aeruginosa (14.3%), bacilli species (11.0%). The study showed that there was a significant difference in the prevalence of bacilli species (p= 0.017) and E. coli (p= 0.015) among the study group. The results from total bacterial count indicated that toilet door handles had the highest bacterial load compared to office door handles and classrooms. Antibiotic susceptibility testing of isolates showed that all bacteria were resistant and intermediately resistant to commonly used antibiotics except for Escherichia coli that was susceptible to amoxicillin Conclusion and recommendations: The study reveals that door handles are a considerable source of pathogenic bacteria thus play a major role in the transmission of diseases caused by such bacteria. Further studies could be done and different study groups could be included for example routinely opened doors and the doors which are not routinely opened.

scholarly journals Rapid and accurate direct antibiotic susceptibility testing of blood culture broths using MALDI Sepsityper combined with the BD Phoenix automated system

2014 ◽  
Vol 63 (12) ◽  
pp. 1590-1594 ◽  
Author(s):  
Briony Hazelton ◽  
Lee C. Thomas ◽  
Thomas Olma ◽  
Jen Kok ◽  
Matthew O’Sullivan ◽  
...  
Keyword(s):  
Blood Culture ◽  
Antibiotic Susceptibility ◽  
Susceptibility Testing ◽  
Turnaround Time ◽  
Automated System ◽  
Antibiotic Susceptibility Testing ◽  
Gram Negative ◽  
Cell Pellet ◽  
Novel Method ◽  
Susceptibility Tests

Antibiotic susceptibility testing with the BD Phoenix system on bacterial cell pellets generated from blood culture broths using the Bruker MALDI Sepsityper kit was evaluated. Seventy-six Gram-negative isolates, including 12 with defined multi-resistant phenotypes, had antibiotic susceptibility testing (AST) performed by Phoenix on the cell pellet in parallel with conventional methods. In total, 1414/1444 (97.9 %) of susceptibility tests were concordant, with only 1 (0.07 %) very major error. This novel method has the potential to reduce the turnaround time for AST results by up to a day for Gram-negative bacteraemias.

scholarly journals Nanomotion Detection-Based Rapid Antibiotic Susceptibility Testing

Antibiotics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 287
Author(s):  
Sandor Kasas ◽  
Anton Malovichko ◽  
Maria Ines Villalba ◽  
María Elena Vela ◽  
Osvaldo Yantorno ◽  
...  
Keyword(s):  
Bordetella Pertussis ◽  
Antibiotic Susceptibility ◽  
Susceptibility Testing ◽  
Multidrug Resistant ◽  
Resistant Bacteria ◽  
Antibiotic Susceptibility Testing ◽  
Multidrug Resistant Bacteria ◽  
Novel Technique ◽  
Working Principle ◽  
Living Organisms

Rapid antibiotic susceptibility testing (AST) could play a major role in fighting multidrug-resistant bacteria. Recently, it was discovered that all living organisms oscillate in the range of nanometers and that these oscillations, referred to as nanomotion, stop as soon the organism dies. This finding led to the development of rapid AST techniques based on the monitoring of these oscillations upon exposure to antibiotics. In this review, we explain the working principle of this novel technique, compare the method with current ASTs, explore its application and give some advice about its implementation. As an illustrative example, we present the application of the technique to the slowly growing and pathogenic Bordetella pertussis bacteria.

scholarly journals Influence of Antibiotic Susceptibility Testing on Antibiotic Choice in Hospital-Acquired and Ventilator-Associated Pneumonia

2020 ◽  
Vol 41 (S1) ◽  
pp. s520-s521
Author(s):  
Taissa Zappernick ◽  
Robbie Christian ◽  
Sharanie Sims ◽  
Brigid Wilson ◽  
Federico Perez ◽  
...  
Keyword(s):  
Antibiotic Therapy ◽  
Antibiotic Susceptibility ◽  
Susceptibility Testing ◽  
Empiric Antibiotic Therapy ◽  
Ventilator Associated Pneumonia ◽  
Antibiotic Susceptibility Testing ◽  
Bacterial Identification ◽  
Respiratory Sample ◽  
Empiric Antibiotic ◽  
Hospital Acquired

Background: The survival of patients with hospital-acquired pneumonia (HAP) and ventilator-associated pneumonia (VAP) is largely determined by the timely administration of effective antibiotic therapy. Guidelines for the treatment HAP and VAP recommend empiric treatment with broad-spectrum antibiotics and tailoring of antibiotic therapy once results of microbiological testing are available. Objective: We examined the influence of bacterial identification and antibiotic susceptibility testing on antibiotic therapy for patients with HAP or VAP. Methods: We used the US Veterans’ Health Administration (VHA) database to identify a retrospective cohort of patients diagnosed with HAP or VAP between fiscal year 2015 and 2018. We further analyzed patients who were started on empiric antibiotic therapy, for whom microbiological test results from a respiratory sample were available within 7 days and who were alive within 48 hours of sample collection. We used the antibiotic spectrum index (ASI) to compare antibiotics prescribed the day before and the day after availability of bacterial identification and antibiotic susceptibility testing results. Results: We identified 4,669 cases of HAP and VAP in 4,555 VHA patients. The median time from respiratory sample receipt in the laboratory to final result of bacterial identification and antibiotic susceptibility testing was 2.22 days (IQR, 1.31–3.38 days). The most common pathogen was Staphylococcus aureus (n = 994), with methicillin resistance in 58% of those isolates tested. The next most common pathogen was Pseudomonas spp (n = 946 isolates). The susceptibility of antipseudomonal antibiotics, when tested, was as follows: 64% to carbapenems, 74% to cephalosporins, 75% to β-lactam/β-lactamase inhibitors, 69% to fluoroquinolones, and 95% to amikacin. Lactose-fermenting gram-negative bacteria (296 Escherichia coli and 360 Klebsiella pneumoniae) were also common. Among the 3,094 cases who received empiric antibiotic therapy, 607 (20%) had antibiotics stopped the day after antibiotic susceptibility results became available, 920 (30%) had a decrease in ASI, 1,075 (35%) had no change in ASI, and 492 (16%) had an increase in ASI (Fig. 1). Among the 1,098 patients who were not started on empiric antibiotic therapy, only 154 (14%) were started on antibiotic therapy the day after antibiotic susceptibility results became available. Conclusions: Changes in antibiotic therapy occurred in at least two-thirds of cases the day after bacterial identification and antibiotic susceptibility results became available. These results highlight how respiratory cultures can inform the treatment and improve antibiotic stewardship for patients with HAP/VAP.Funding: This study was supported by Accelerate Diagnostics.Disclosures: None

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