Significado clínico del aislamiento de Staphylococcus aureus en muestras de orina

Bermejo, Joaquín; Gianello, Mariano; Pascale, M.; Borda, Noemí; Freije, Julieta; Notario, Rodolfo

doi:10.1016/j.eimc.2012.12.008

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…Consequently, studies of the gas composition of urine were carried out [ 13 , 14 ], and methods for determining volatile biomarkers in urine were proposed [ 15 , 16 ]. Bacterial metabolites secreted on nutrient media have also been studied [ 17 , 18 ], including volatile compounds secreted during infection of tissues [ 17 ] and exudates [ 19 ], lesion by Staphylococcus aureus [ 20 ], respiratory and gastrointestinal diseases [ 21 ], bacteriuria [ 22 , 23 , 24 ]. A method for assessing the standard indicators of the general urine analysis and other diagnostic parameters by the volatile fraction of urine samples has been proposed [ 25 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

Noninvasive Detection of Bacterial Infection in Children Using Piezoelectric E-Nose

Кучменко

Menzhulina

Шуба

2022

Sensors

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Currently, antibiotics are often prescribed to children without reason due to the inability to quickly establish the presence of a bacterial etiology of the disease. One way to obtain additional diagnostic information quickly is to study the volatile metabolome of biosamples using arrays of sensors. The goal of this work was to assess the possibility of using an array of chemical sensors with various sensitive coatings to determine the presence of a bacterial infection in children by analyzing the equilibrium gas phase (EGP) of urine samples. The EGP of 90 urine samples from children with and without a bacterial infection (urinary tract infection, soft tissue infection) was studied on the “MAG-8” device with seven piezoelectric sensors in a hospital. General urine analysis with sediment microscopy was performed using a Uriscan Pro analyzer and using an Olympus CX31 microscope. After surgical removal of the source of inflammation, the microbiological studies of the biomaterial were performed to determine the presence and type of the pathogen. The most informative output data of an array of sensors have been established for diagnosing bacterial pathology. Regression models were built to predict the presence of a bacterial infection in children with an error of no more than 15%. An indicator of infection is proposed to predict the presence of a bacterial infection in children with a high sensitivity of 96%.

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Section: Introductionmentioning

confidence: 99%

Noninvasive Detection of Bacterial Infection in Children Using Piezoelectric E-Nose

Кучменко

Menzhulina

Шуба

2022

Sensors

View full text Add to dashboard Cite

show abstract

“…[1][2][3] UTIs are mainly caused by mono-bacteria like Escherichia coli, the most prevalent causative agent, and other pathogenic bacteria, which include Klebsiella pneumoniae, Proteus mirabilis, Pseudomonas aeruginosa, Staphylococcus aureus, and Candida spp. [4][5][6][7] Occasionally, more than one species is observed in UTIs. Culture-based biochemical methods are still the current routine methods for the diagnosis of UTIs in clinical microbiology laboratories.…”

Section: Introductionmentioning

confidence: 99%