Screening urine samples for significant bacteriuria in the clinical microbiology laboratory

Church, Deirdre L.; Gregson, Daniel B.

doi:10.1016/j.clinmicnews.2004.11.003

Cited by 5 publications

(4 citation statements)

References 12 publications

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“…Several urine screening techniques have been described, including Gram stain, quantitative leukocyte counts, direct testing of urine sediment, various biochemical methods and automated systems 9. Each of these techniques has many disadvantages limiting significantly their use in a diagnostic laboratory.…”

Section: Discussionmentioning

confidence: 99%

Usability application of multiplex polymerase chain reaction in the diagnosis of microorganisms isolated from urine of patients treated in cancer hospital

Cybulski

Schmidt²,

Grabiec

et al. 2013

Radiology and Oncology

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Background. The objective of this study was: i) to compare the results of urine culture with polymerase chain reaction (PCR) -based detection of microorganisms using two commercially available kits, ii) to assess antimicrobial susceptibility of urine isolates from cancer patients to chosen antimicrobial drugs and, if necessary, to update the recommendation of empirical therapy. Materials and methods. A one-year hospital-based prospective study has been conducted in Greater Poland Cancer Centre and Genetic Medicine Laboratory CBDNA Research Centre in 2011. Urine cultures and urine PCR assay from 72 patients were examined Results. Urine cultures and urine PCR assay from 72 patients were examined. Urine samples were positive for 128 strains from which 95 (74%) were identical in both tests. The most frequently isolated bacteria in both culture and PCR assay were coliform organisms and Enterococcus spp. The Gram negative bacilli were most resistant to cotrimoxazol. 77.2% of these bacilli and 100% of E. faecalis and S. agalactiae were sensitive to amoxicillin-clavulanic acid. 4.7% of Gram positive cocci were resistant to nitrofurantoin. Conclusions. The PCR method quickly finds the causative agent of urinary tract infection (UTI) and, therefore, it can help with making the choice of the proper antimicrobial therapy at an early stage. It appears to be a viable alternative to the recommendations made in general treatment guidelines, in cases where diversified sensitivity patterns of microorganisms have been found.

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Section: Discussionmentioning

confidence: 99%

Usability application of multiplex polymerase chain reaction in the diagnosis of microorganisms isolated from urine of patients treated in cancer hospital

Cybulski

Schmidt²,

Grabiec

et al. 2013

Radiology and Oncology

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“…Positive urine culture when bacterial growth of more than 100.000 colony forming units (CFU)/mL from one pathogen 5 . 60 -80% urine culture examination did not contain any infectious bacteria or just contaminants that can be solved by filter test 4,6,7 . Examination of bacteria with Gram staining (sensitivity 96%, specificity 93%), examination using 10 cell/μL hemositometer (83% sensitivity and specificity) 8 .…”

Section: Introductionmentioning

confidence: 94%

“…The high incidence of UTI causes many requests for urine culture examination 3,4 . Positive urine culture when bacterial growth of more than 100.000 colony forming units (CFU)/mL from one pathogen 5 .…”

Section: Introductionmentioning

confidence: 99%

Correlation of Urine Leukocytes and Urine Bacteria Using Current Sitometry Using Urine in Patients of Children Channel Infection

2020

IJFMT

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Background: Urinary tract infection (UTI) in children is a common illness. The gold standard for UTI diagnosis is urine culture, but it takes a long time and often gives negative results. Currently developed a method of flow cytometry for checking urine sediments. This tool is able to detect leukocytes urine and urine bacteria in quick time. The purpose of this study is to analyze the relationship of urine leukocyte count and the number of urine bacteria using flow cytometry with urine culture in patients with UTI Method: Eighty-four patients were enrolled in this study that consisting of 43 patients with suspected UTI and 43 patients with non-ISK treated at

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“…Urinary tract infections (UTIs) are among the most common bacterial infections in humans, representing the second most frequent community-acquired infection in women [ 1 , 2 ]. That being so, it is no wonder that urine specimens are one of the most received samples in clinical microbiology laboratories [ 3 ]. Urine culture is the gold-standard method for UTI to detect the causative agent and initiate an appropriate antibiotic treatment.…”

Section: Introductionmentioning

confidence: 99%

FlowUTI: An interactive web-application for optimizing the use of flow cytometry as a screening tool in urinary tract infections

Martín-Gutiérrez

Martín-Pérez²,

Toledo

et al. 2022

PLoS ONE

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Due to the high prevalence of patients attending with urinary tract infection (UTI) symptoms, the use of flow-cytometry as a rapid screening tool to avoid unnecessary cultures is becoming a widely used system in clinical practice. However, the recommended cut-points applied in flow-cytometry systems differ substantially among authors, making it difficult to obtain reliable conclusions. Here, we present FlowUTI, a shiny web-application created to establish optimal cut-off values in flow-cytometry for different UTI markers, such as bacterial or leukocyte counts, in urine from patients with UTI symptoms. This application provides a user-friendly graphical interface to perform robust statistical analysis without a specific training. Two datasets are analyzed in this manuscript: one composed of 204 urine samples from neonates and infants (≤3 months old) attended in the emergency department with suspected UTI; and the second dataset including 1174 urines samples from an elderly population attended at the primary care level. The source code is available on GitHub (https://github.com/GuillermoMG-HUVR/Microbiology-applications/tree/FlowUTI/FlowUTI). The web application can be executed locally from the R console. Alternatively, it can be freely accessed at https://covidiario.shinyapps.io/flowuti/. FlowUTI provides an easy-to-use environment for evaluating the efficiency of the urinary screening process with flow-cytometry, reducing the computational burden associated with this kind of analysis.

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Screening urine samples for significant bacteriuria in the clinical microbiology laboratory

Cited by 5 publications

References 12 publications

Usability application of multiplex polymerase chain reaction in the diagnosis of microorganisms isolated from urine of patients treated in cancer hospital

Usability application of multiplex polymerase chain reaction in the diagnosis of microorganisms isolated from urine of patients treated in cancer hospital

Correlation of Urine Leukocytes and Urine Bacteria Using Current Sitometry Using Urine in Patients of Children Channel Infection

FlowUTI: An interactive web-application for optimizing the use of flow cytometry as a screening tool in urinary tract infections

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