Accuracy of urine flow cytometry and urine test strip in predicting relevant bacteriuria in different patient populations.
Adolescent
Adult
Aged
Aged, 80 and over
Algorithms
Bacterial Load
Bacteriuria
/ diagnosis
Child
Child, Preschool
Female
Flow Cytometry
/ methods
Humans
Infant
Infant, Newborn
Leukocyte Count
Male
Middle Aged
Reagent Strips
Reference Standards
Sensitivity and Specificity
Urinalysis
/ methods
Urinary Tract Infections
/ diagnosis
Young Adult
Bacteria count
Diagnosis
Flow Cytometry
Urinalysis
Urinary tract infection
Urine test strip
Journal
BMC infectious diseases
ISSN: 1471-2334
Titre abrégé: BMC Infect Dis
Pays: England
ID NLM: 100968551
Informations de publication
Date de publication:
25 Feb 2021
25 Feb 2021
Historique:
received:
16
01
2020
accepted:
12
02
2021
entrez:
26
2
2021
pubmed:
27
2
2021
medline:
20
3
2021
Statut:
epublish
Résumé
Urinary tract infection (UTI) is diagnosed combining urinary symptoms with demonstration of urine culture growth above a given threshold. Our aim was to compare the diagnostic accuracy of Urine Flow Cytometry (UFC) with urine test strip in predicting bacterial growth and in identifying contaminated urine samples, and to derive an algorithm to identify relevant bacterial growth for clinical use. Species identification and colony-forming unit (CFU/ml) quantification from bacterial cultures were matched to corresponding cellular (leucocytes/epithelial cells) and bacteria counts per μl. Results comprise samples analysed between 2013 and 2015 for which urine culture (reference standard) and UFC and urine test strip data (index tests, Sysmex UX-2000) were available. 47,572 urine samples of 26,256 patients were analysed. Bacteria counts used to predict bacterial growth of ≥10 Prediction of a relevant bacterial growth by bacteria counts was most accurate and was a better predictor than leucocyte counts independently of the source of the urine and the medical specialty ordering the test (medical, surgical or others).
Sections du résumé
BACKGROUND
BACKGROUND
Urinary tract infection (UTI) is diagnosed combining urinary symptoms with demonstration of urine culture growth above a given threshold. Our aim was to compare the diagnostic accuracy of Urine Flow Cytometry (UFC) with urine test strip in predicting bacterial growth and in identifying contaminated urine samples, and to derive an algorithm to identify relevant bacterial growth for clinical use.
METHODS
METHODS
Species identification and colony-forming unit (CFU/ml) quantification from bacterial cultures were matched to corresponding cellular (leucocytes/epithelial cells) and bacteria counts per μl. Results comprise samples analysed between 2013 and 2015 for which urine culture (reference standard) and UFC and urine test strip data (index tests, Sysmex UX-2000) were available.
RESULTS
RESULTS
47,572 urine samples of 26,256 patients were analysed. Bacteria counts used to predict bacterial growth of ≥10
CONCLUSIONS
CONCLUSIONS
Prediction of a relevant bacterial growth by bacteria counts was most accurate and was a better predictor than leucocyte counts independently of the source of the urine and the medical specialty ordering the test (medical, surgical or others).
Identifiants
pubmed: 33632129
doi: 10.1186/s12879-021-05893-3
pii: 10.1186/s12879-021-05893-3
pmc: PMC7908726
doi:
Substances chimiques
Reagent Strips
0
Types de publication
Comparative Study
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
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