Rapid Antibiotic Susceptibility Testing for Urinary Tract Infections

Author(s):  
Anja Mezger ◽  
Mats Nilsson ◽  
Dan I. Andersson
The Analyst ◽  
2021 ◽  
Author(s):  
Benjamin Crane ◽  
Jack Hughes ◽  
Samuel James Rowley-Neale ◽  
Mamun Rashid ◽  
Patrica Linton ◽  
...  

Urinary tract infections (UTIs) are one of the most common types of bacterial infection. UTIs can be associated with multidrug resistant bacteria and current methods of determining an effective antibiotic...


2017 ◽  
Vol 114 (34) ◽  
pp. 9170-9175 ◽  
Author(s):  
Özden Baltekin ◽  
Alexis Boucharin ◽  
Eva Tano ◽  
Dan I. Andersson ◽  
Johan Elf

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.


PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254064
Author(s):  
Hanne Margrethe Gilboe ◽  
Olaug Marie Reiakvam ◽  
Linda Aasen ◽  
Trygve Tjade ◽  
Johan Bjerner ◽  
...  

Background We evaluated if flowcytometry, using Sysmex UF-5000, could improve diagnosis of urinary tract infections by rapid identification of culture negative and contaminated samples prior to culture plating, thus reducing culture plating workload and response time. We also evaluated if it is possible to reduce the response time for antibiotic susceptibility profiles using the bacteria information flag on Sysmex UF-5000 to differentiate between Gram positive and negative bacteria, followed by direct Antibiotic Susceptibility Testing (dAST) on the positive urine samples. Methods One thousand urine samples were analyzed for bacteria, white blood cells and squamous cells by flowcytometry before culture plating. Results from flowcytometric analysis at different cut-off values were compared to results of culture plating. We evaluated dAST on 100 urine samples that were analyzed as positive by flowcytometry, containing either Gram positive or Gram negative bacteria. Results Using a cut-off value with bacterial count ≥100.000/mL and WBCs ≥10/μL, flowcytometry predicted 42,1% of samples with non-significant growth. We found that most contaminated samples contain few squamous cells. For 52/56 positive samples containing Gram negative bacteria dAST was identical to routine testing. Overall, there was concordance in 555/560 tested antibiotic combinations. Conclusion Flowcytometry offers advantages for diagnosis of urinary tract infections. Screening for negative urine samples on the day of arrival reduces culture plating and workload, and results in shorter response time for the negative samples. The bacteria information flag predicts positive samples containing Gram negative bacteria for dAST with high accuracy, thus Antibiotic Susceptibility Profile can be reported the day after arrival. For the positive samples containing Gram negative bacteria the concordance was very good between dAST and Antibiotic Susceptibility Testing in routine. For positive samples containing Gram positive bacteria the results were not convincing. We did not find any correlation between epithelial cells and contamination.


Lab on a Chip ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 755-763
Author(s):  
Kuo-Wei Hsu ◽  
Wen-Bin Lee ◽  
Huey-Ling You ◽  
Mel S. Lee ◽  
Gwo-Bin Lee

A portable, integrated microfluidic system capable of automatically conducting antimicrobial susceptibility testing (AST) and minimum inhibitory concentration (MIC) measurements using urine samples were developed.


2019 ◽  
Vol 49 (1) ◽  
pp. 63-68 ◽  
Author(s):  
C. Baizet ◽  
S. Ouar-Epelboin ◽  
G. Walter ◽  
E. Mosnier ◽  
B. Moreau ◽  
...  

Author(s):  
Monzer Hamze ◽  
Marwan Osman ◽  
Hassan Mallat ◽  
Elie Bou Raad

Background. Urinary tract infection (UTI) is common infection feature worldwide.   Infected patients are usually treated empirically treated without culture or antibiotics susceptibility testing, and which may lead to increase antibiotic resistance level. This study aims to determine the prevalence and antibiotic susceptibility patterns of common uropathogenic bacteria isolated at Youssef Hospital Center, Akkar governorate, North of Lebanon. Methods. Spot midstream of urine samples from 9662 patients with UTI symptoms who came for medical investigation to Youssef Hospital Center located in Akkar governorate.  Urine specimens were collected in sterile plastic bottles. Culture, identification and antibiotic susceptibility testing were performed using conventional tools according to the recommendations of the European Committee on Antimicrobial Susceptibility Testing. Results.  A total of 1009 bacterial uropathogens were isolated. Escherichia coli was most presented (72.5%) of all isolates, followed by Klebsiella pneumoniae (8.2%), Enterococcus spp. (5.5%), Pseudomonas aeruginosa (4.5%), Proteus spp. (3%), Enterobacter spp. (2%), Staphylococcus aureus (2%), Streptococcus agalactiae (1.6%), Staphylococcus saprophyticus (0.4%), Acinetobacter baumannii(0.2%) and Providencia rettgeri (0.1%). Moreover, the mean antibiotic resistance rates of isolates was relatively high, but comparable to previously published data in Lebanon. Conclusion. To the best of our knowledge, this is the first investigation reporting epidemiological data regarding the prevalence and antibiotic susceptibility patterns of bacterial uropathogens isolated from patients in the Akkar governorate. Our data indicated the urgent need of a strategic plan to tackle antibiotic resistance, particularly in deprived regions with poor healthcare centers.   Keywords: Uropathogens, Epidemiology, Antibiotic susceptibility, Risk factors, Akkargovernorate, North Lebanon.


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