Literature DB >> 31217269

Evaluation of BacterioScan 216Dx in Comparison to Urinalysis as a Screening Tool for Diagnosis of Urinary Tract Infections in Children.

Ferdaus Hassan1, Heather Bushnell1, Connie Taggart1, Caitlin Gibbs1, Steve Hiraki1, Ashley Formanek1, Megan Gripka1, Rangaraj Selvarangan2,3.   

Abstract

Urinalysis (UA) has routinely been used as a screening tool prior to urine culture set up. BacterioScan 216Dx is an FDA-cleared semiautomated system to detect bacterial growth in urine. The aim of this study was to evaluate 216Dx in comparison to UA for diagnosis of urinary tract infection (UTI) in children. Clean-catch, unpreserved urine samples from children aged <18 years were tested by 216Dx, and positive urine samples in media were processed for direct bacterial identification by matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) mass spectrometry. Sensitivity and specificity of 216Dx and urinalysis (UA) were determined against urine culture. Of 287 urine samples obtained from children (median age, 108 months), 44.0% and 56.0% were UA positive and negative, respectively, while 216Dx detected 27% and 73% as positive and negative, respectively. Compared to culture, the overall sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of 216Dx versus UA were 92.1% versus 97.3%, 82.7% versus 63.8%, 44.8% versus 29.1%, and 98.6% versus 99.3%, respectively. Among 216Dx true-positive (TP) samples (n = 35), 77.0% were successfully identified directly from broth by MALDI-TOF. Among urine samples that were identified as contaminated by culture (n = 127; 44%), the 216Dx detected 93 (73.0%) as negative while UA detected 69 (54.0%) as negative. Although the sensitivities of 216Dx and UA are comparable, the specificity of 216Dx was higher than that of UA. The 216Dx can be used as an alternative/adjunct screening tool to UA to rule out urinary tract infection (UTI) in children. Compared to culture, the faster turnaround time (3 hours) of 216Dx has the potential to reduce unnecessary antibiotic use and improve patient management.
Copyright © 2019 American Society for Microbiology.

Entities:  

Keywords:  BacterioScanTM 216Dx; children; contamination; rapid diagnosis; urinalysis; urine culture

Mesh:

Year:  2019        PMID: 31217269      PMCID: PMC6711920          DOI: 10.1128/JCM.00571-19

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  25 in total

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Authors:  R V Sultana; S Zalstein; P Cameron; D Campbell
Journal:  J Emerg Med       Date:  2001-01       Impact factor: 1.484

Review 2.  Urinalysis: a comprehensive review.

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Authors:  Susan M Schappert; Elizabeth A Rechtsteiner
Journal:  Vital Health Stat 13       Date:  2011-04

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Authors:  M H Gorelick; K N Shaw
Journal:  Pediatrics       Date:  1999-11       Impact factor: 7.124

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7.  Use of flow cytometry (Sysmex) UF-100) to screen for positive urine cultures: in search for the ideal cut-off.

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Journal:  Clin Chem Lab Med       Date:  2010-02       Impact factor: 3.694

8.  Laboratory diagnosis of urinary tract infections in adult patients.

Authors:  Michael L Wilson; Loretta Gaido
Journal:  Clin Infect Dis       Date:  2004-04-06       Impact factor: 9.079

9.  Urinalysis is not reliable to detect a urinary tract infection in febrile infants presenting to the ED.

Authors:  Jacqueline M Reardon; Keri L Carstairs; Sherri L Rudinsky; Leslie V Simon; Robert H Riffenburgh; David A Tanen
Journal:  Am J Emerg Med       Date:  2009-10       Impact factor: 2.469

Review 10.  Epidemiology of urinary tract infections: incidence, morbidity, and economic costs.

Authors:  Betsy Foxman
Journal:  Am J Med       Date:  2002-07-08       Impact factor: 4.965

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  3 in total

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Journal:  Anal Chem       Date:  2021-04-28       Impact factor: 6.986

2.  Accuracy of matrix-assisted laser desorption ionization time-of-flight mass spectrometry for direct bacterial identification from culture-positive urine samples.

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Journal:  Ann Transl Med       Date:  2021-04

3.  Rapid Bacterial Detection in Urine Using Laser Scattering and Deep Learning Analysis.

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  3 in total

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