2017
DOI: 10.1111/jam.13354
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Comparison between urine culture profile and morphology classification using fluorescence parameters of the Sysmex UF-1000i urine flow cytometer

Abstract: Further research is needed to establish the usefulness of flow cytometry for aetiological diagnosis.

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Cited by 8 publications
(7 citation statements)
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“…The microorganism’s Gram stain identity was predicted by use of B-FSC [ 24 , 25 ] with an accuracy of 76% (74–80%) in the present study. Rod-shaped bacteria are predicted at higher accuracy than for cocci, >90% and 29%, respectively [ 26 ].…”
Section: Discussionmentioning
confidence: 73%
“…The microorganism’s Gram stain identity was predicted by use of B-FSC [ 24 , 25 ] with an accuracy of 76% (74–80%) in the present study. Rod-shaped bacteria are predicted at higher accuracy than for cocci, >90% and 29%, respectively [ 26 ].…”
Section: Discussionmentioning
confidence: 73%
“…Nevertheless, we included only samples with a high bacterial count, and the number of samples which were positive for cocci was low in this study. Previous data support better results in predicting bacillary morphology with flow cytometry [26, 27].…”
Section: Discussionmentioning
confidence: 53%
“…Our collection of 662 samples has characteristics that might be particularly useful for urologists; the bacterial spectrum contains more enterococci and staphylococci than previously reported from nonurological patients. This result is of significance as some authors suspect UFC to be less reliable when detecting Gram-positive bacteria as compared to Gram-negative bacteria [ 12 , 13 , 14 , 15 , 16 ].…”
Section: Discussionmentioning
confidence: 98%