Advanced Phenotypic Antimicrobial Susceptibility Testing Methods

Stratton, Charles W.

doi:10.1007/978-3-319-33900-9_4

Cited by 5 publications

(7 citation statements)

References 212 publications

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“…Consequently, the adoption of the evidence-based reflex criteria was associated with a reduction in the number of unnecessary cultures, significantly decreasing the number of patients inappropriately treated with antibiotics. The decrease in number of urine cultures associated with the new evidence-based criteria supports the arguments demonstrated in other studies regarding the potential positive effects of adopting quality laboratory procedures on reducing unnecessary antibiotic use (Stratton, 2018).…”

Section: Discussionsupporting

confidence: 80%

“…Most importantly, the high PPVs associated with the newly implemented criteria have enhanced the quality of laboratory reports, reducing the misuse of antibiotics due to suboptimal results, and will subsequently slow the emergence of resistance (Schmiemann et al, 2010;Stratton, 2018). The enhanced quality of laboratory procedures is important for diagnosing patients accurately and directing providers to the appropriate antibiotic treatment and improving overall patient outcomes (Flores-Mireles et al, 2015;Schmiemann et al, 2010;Tanday, 2016).…”

Section: Discussionmentioning

confidence: 99%

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Evaluation of evidence-based urinalysis reflex to culture criteria: Impact on reducing antimicrobial usage

Ourani

Honda

MacDonald

et al. 2021

International Journal of Infectious Diseases

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To implement evidence-based urinalysis (UA) reflex criteria and to evaluate the impact of the intervention on reducing unnecessary antibiotic usage. Methods: A prospective intervention study was conducted on 4130 urine samples that were subjected to UA during March to May 2020. Results were analyzed in order to evaluate the effectiveness of newly implemented evidence-based criteria in predicting positive urine cultures. The intervention involved implementing evidence-based UA reflex criteria to ensure a high predictive value of the UA reflex parameters. Multivariable logistic regression was utilized to evaluate the effectiveness of these UA parameters in predicting positive urine cultures and to assess the impact of the new UA criteria on antibiotic usage. Results: A total of 4130 patient samples were included in the study; 60.1% (n = 2484) were from female patients and 39.9% (n = 1646) were from male patients. The total number of negative urine reflex samples was 3116, which accounted for 75.4% of the total UA reflex samples. In contrast, 24.6% of the urine reflex samples (n = 1014) returned positive UA results and were reflexed to urine culture. Among the urine samples that were cultured, 9% (n = 91) were negative urine cultures, while 91.0% (n = 923) were positive urine cultures. Chi-square analysis indicated highly statistically significant associations between the combination parameters of (5 white blood cells (WBCs) and positive nitrite) and positive urine cultures (Chi-square = 516.428, p < 0.001) and (5 WBCs and moderate or large esterase) and positive urine cultures (Chi-square = 503.387, p < 0.001). Additionally, Chi-square analysis indicated a highly statistically significant association between the combination parameters of (5 WBCs and 1 bacteria) and positive urine cultures (Chi-square = 434.806, p < 0.001). The statistical analysis showed that the implementation of evidence-based UA reflex criteria significantly decreased the number of urine cultures performed and potentially decreased the number of patients inappropriately treated with antibiotics from 45.1% to 9%. Conclusions: In conclusion, 5 WBCs and positive nitrite yielded the highest positive predictive value of 98.00% and showed a highly significant association with positive urine cultures. It was observed that the new UA reflex criteria are highly effective in predicting positive urine cultures, thus potentially resulting in the reduction of unnecessary antibiotic usage.

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Section: Discussionsupporting

confidence: 80%

Section: Discussionmentioning

confidence: 99%

Evaluation of evidence-based urinalysis reflex to culture criteria: Impact on reducing antimicrobial usage

Ourani

Honda

MacDonald

et al. 2021

International Journal of Infectious Diseases

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“…119 The number of ctDNA differs depending on tumor type, location, and tumor cascade and is released from both primary and metastatic tumor regions. 48 Its analysis can provide valuable insight into tumor heterogeneity and clonal evolution, 120 as well as enable identification of tumor-specific genetic mutations. 48,121 With this, ctDNA can be used as a tool for cancer diagnosis, monitoring signs of disease recurrence and help guide treatment in patients with advanced cancers.…”

Section: Circulating Tumor Dna (Ctdna)mentioning

confidence: 99%

Integrated “lab-on-a-chip” microfluidic systems for isolation, enrichment, and analysis of cancer biomarkers

et al. 2023

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“…Thus, the protocols of the Clinical Laboratory Standards Institute (CLSI) and those of the European Committee on Antimicrobial Susceptibility Testing (EUCAST) for the evaluation of medicines and pure compounds have been implemented in the first way (Leonard et al 2018;O'Halloran et al 2018;Rancoita et al 2018); both CLSI and EUCAST contemplate evaluation for bacteria, mycobacteria, and fungi using methods ranging from broth dilution to disk diffusion, and only CLSI contemplates a protocol for the evaluation of antiviral activity (Balouiri et al 2016). Unfortunately, these methods have problems for the evaluation of new molecules and formulations due to their low automation in the case of broth dilution, such as the low diffusion of nonpolar compounds in the agar as in the case of disk diffusion, which affects the evaluation of antimicrobial activity (Egorova et al 2017;Stratton 2018;Eloff 2019). It has also tried to automate these techniques using fluorescent dyes that determine cell viability such as resazurin, SYTO9, and 4′,6-diamino-2-phenylindole (DAPI) but that tend to react with metal nanoparticles, which alters the results of in vitro susceptibility (Panic et al 2015;Magana et al 2018).…”

Section: Antimicrobial Models For Nanomaterials Evaluationmentioning

confidence: 99%

Antimicrobial Activity of Nanomaterials: From Selection to Application

Bueno¹

2020

Nanotechnology in the Life Sciences

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The correct application of nanotechnology for the treatment and control of antimicrobial resistance requires the implementation of translational science protocols capable of selecting the most active products with the lowest toxicity and that can be applied in the different areas where they may be needed. In this order of ideas, the selection of a reproducible antimicrobial platform that can be scalable, robust, and automatable becomes a necessity to be solved by nanotechnology researchers. Thus, the design and development of nanomaterials should be together with the implementation of evaluation and toxicity protocols in order to determine the promising nanoproducts to be used in the different innovations. For this reason, the objective of this chapter is to analyze the elements to be considered in the selection, implementation, and standardization of the necessary platforms to translate

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Advanced Phenotypic Antimicrobial Susceptibility Testing Methods

Cited by 5 publications

References 212 publications

Evaluation of evidence-based urinalysis reflex to culture criteria: Impact on reducing antimicrobial usage

Evaluation of evidence-based urinalysis reflex to culture criteria: Impact on reducing antimicrobial usage

Integrated “lab-on-a-chip” microfluidic systems for isolation, enrichment, and analysis of cancer biomarkers

Antimicrobial Activity of Nanomaterials: From Selection to Application

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