Fast antibiotic susceptibility testing of urine microflora using a microbiological analyzer based on coherent fluctuation nephelometry

Гурьев, А. С.; Tigasson, Margus; Shalatova, Olga Yu; Rastopov, S. F.; Bilozor, Anastasia; Ivanova, Marina; Volkov, A. Yu.

doi:10.1007/s42770-021-00671-4

Cited by 2 publications

(1 citation statement)

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“…The eNose is a rapid and straightforward tool that allows for quick analysis, which can be particularly beneficial in emergency situations. In the analysis of urinary tract infections, accuracy has traditionally relied on techniques such as microbiological culture (sensitivity is 95%) [ 28 ], for which the main limitation is the time that it takes to obtain a result (24–48 h). Other methods like urinary sediment analysis (sensitivity is 90–99%) [ 29 ] require the interpretation of values and technical equipment that is not feasible to have in an emergency department.…”

Section: Discussionmentioning

confidence: 99%

Low-Cost Electronic Nose for the Determination of Urinary Infections

de la Rica-Martinez,

Martínez-Muñoz,

Sanjuan

et al. 2023

Sensors

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Currently, urine samples for bacterial or fungal infections require a long diagnostic period (48 h). In the present work, a point-of-care device known as an electronic nose (eNose) has been designed based on the “smell print” of infections, since each one emits various volatile organic compounds (VOC) that can be registered by the electronic systems of the device and recognized in a very short time. Urine samples were analyzed in parallel using urine culture and eNose technology. A total of 203 urine samples were analyzed, of which 106 were infected and 97 were not infected. A principal component analysis (PCA) was performed using these data. The algorithm was initially capable of correctly classifying 49% of the total samples. By using SVM-based models, it is possible to improve the accuracy of the classification up to 74% when randomly using 85% of the data for training and 15% for validation. The model is evaluated as having a correct classification rate of 74%. In conclusion, the diagnostic accuracy of the eNose in urine samples is high, promising and amenable for further improvement, and the eNose has the potential to become a feasible, reproducible, low-cost and high-precision device to be applied in clinical practice for the diagnosis of urinary tract infections.

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Section: Discussionmentioning

confidence: 99%