Urine flow cytometry can rule out urinary tract infection, but cannot identify bacterial morphologies correctly

Geerts, Nienke; Jansz, A; Boonen, Kjm Kristel; Wijn, R.P.W.F.; Koldewijn, E.L.; Boer, Arjen‐Kars; Scharnhorst, Volkher

doi:10.1016/j.cca.2015.06.020

Cited by 22 publications

(32 citation statements)

References 13 publications

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“…Sensitivity and NPV values were high, but the diagnostic accuracy was relatively low (59Á9% and 62Á0%, respectively) for both cut-off points. In contrast, acceptable specificity and high sensitivity and NPP were obtained for both cut-offs when the B_FSC/B_FLH ratio was used, being higher in cocci than in rods, in agreement with the findings published by Geerts et al (2015).…”

Section: Discussionsupporting

confidence: 89%

“…The BACT‐Morph software of Sysmex UF‐1000i demonstrated satisfactory diagnostic accuracy (72·6%) to predict rod‐shaped bacteria but inadequate accuracy for correct cocci classification, similar to previous findings (Geerts et al . ). The two additional fluorescence parameters available, B_FSC and B_FLH, may be useful to discriminate micro‐organism aetiology (De Rosa et al .…”

Section: Discussionmentioning

confidence: 97%

“…In contrast, acceptable specificity and high sensitivity and NPP were obtained for both cut‐offs when the B_FSC/B_FLH ratio was used, being higher in cocci than in rods, in agreement with the findings published by Geerts et al . ().…”

Section: Discussionmentioning

confidence: 97%

“…Bacteria are classified according to their fluorescence emission as rods or cocci/ mixed. A scatter plot is constructed of B_FSC against B_FLH values, and the angle defined by a straight line through the data cloud distinguishes between rods (<30°) and cocci/mixed bacteria (>30°) (Geerts et al 2015).…”

Section: Introductionmentioning

confidence: 99%

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Comparison between urine culture profile and morphology classification using fluorescence parameters of the Sysmex UF-1000i urine flow cytometer

et al. 2017

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Section: Discussionsupporting

confidence: 89%

Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

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Comparison between urine culture profile and morphology classification using fluorescence parameters of the Sysmex UF-1000i urine flow cytometer

et al. 2017

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“…However, it is time-consuming and labor-intensive. It usually needs 48 hours to provide the detailed information about pathogens as well as the sensitivity to antibiotics [2]. This means that the suspected patients would have to suffer a delayed treatment.…”

Section: Introductionmentioning

confidence: 99%

The Diagnostic Performance of Urine Flow Cytometer UF1000i for Urinary Tract Infections

Sun¹,

Zuo²,

Liu³

et al. 2018

Clin. Lab.

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Background: Urinary tract infections (UTIs) are one of the most common infectious diseases in clinic. Urine flow cytometry is receiving more and more attention due to its rapid forecast of UTIs. Methods: The Urine Flow Cytometer UF1000i has a series of software programs to quantify bacteria (BACT) and white blood cells (WBC), and describe the scatter diagram of bacteria. The UTIs were predicted based on the cutoff values with the Receiver Operating Characteristic (ROC) curves of BACT and WBC counts. To evaluate the diagnostic performance of UF1000i for UTIs, the sensitivity and specificity of 889 urine samples were determined in comparison to the results of urine culture. Meanwhile the bacterial morphology indication of the UF1000i was evaluated in order to help doctors choose antibiotics. The angle of the scatter cloud with the x-axis was used to classify the infected bacteria as bacilli (< 30°) or cocci (≥ 30°). Results: The best cutoff value of BACT counts for predicting UTIs was 119 per µL, and the sensitivity and specificity were 95.5% and 88.7%, respectively. While the best cutoff value of WBC counts was 81.5 per µL, and the sensitivity and specificity were 77.6% and 76.7%, respectively. In addition, the best cutoff values for females were 583 BACT per µL and 137.5 WBC per µL. They were much higher than for males (118 BACT per µL and 91 WBC per µL). The coincidence of the bacterial morphology information between the UF1000i software indication and the bacterial actual morphology identified by urine culture was 83% (bacilli) and 68% (cocci), respectively. Conclusions: Data demonstrated that the performance of BACT counts for UTIs is superior to WBC counts. In addition, the bacterial morphology could preliminarily be predicated by the scatter diagram. Since the urine flow cytometer UF1000i can provide the data of both BACT counts and the scatter diagram, the urine flow cytometry was regarded as a suitable method for screening UTIs. Moreover, it would be better to take gender into consideration when setting the best cutoff value for diagnosis of UTIs in clinic.

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Rapid differentiation of cocci/mixed bacteria from rods in voided urine culture of women with uncomplicated urinary tract infections

Yang

Hung

et al. 2016

J Clin Lab Anal

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Urine flow cytometry can rule out urinary tract infection, but cannot identify bacterial morphologies correctly

Cited by 22 publications

References 13 publications

Comparison between urine culture profile and morphology classification using fluorescence parameters of the Sysmex UF-1000i urine flow cytometer

Comparison between urine culture profile and morphology classification using fluorescence parameters of the Sysmex UF-1000i urine flow cytometer

The Diagnostic Performance of Urine Flow Cytometer UF1000i for Urinary Tract Infections

Rapid differentiation of cocci/mixed bacteria from rods in voided urine culture of women with uncomplicated urinary tract infections

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